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4,800 | 14,950,654 | 2,176 | A method of configuring a screen of an electronic apparatus is provided. The method includes obtaining the data that is configured in the first configuration based on the first font, configuring the data in the second configuration, based on the second font, and if the difference between the first configuration and the second configuration is greater than a predetermined critical value, changing the second configuration into the third configuration to then be displayed, wherein the difference between the first configuration and the third configuration is less than predetermined critical value. | 1. A method of configuring a screen of an electronic apparatus, the method comprising:
obtaining data that is configured in a first configuration based on a first font; configuring the data in a second configuration, based on a second font; and changing, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed, wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. 2. The method of claim 1, wherein the second configuration is pre-configured to correspond to the second font. 3. The method of claim 1, wherein the changing of the second configuration into the third configuration to then be displayed comprises adjusting attributes of the second font in order to thereby change the data into the third configuration. 4. The method of claim 3, wherein the changing of the second configuration into the third configuration to then be displayed comprises changing at least one of a width, a height-to-width ratio, a kerning, a height, a size, and a line space of the second font to then be displayed. 5. The method of claim 3, further comprising adjusting a boldness of the second font based on the adjusted second font attributes. 6. The method of claim 1, further comprising comparing the difference between the first configuration and the second configuration. 7. The method of claim 6, wherein the comparing of the difference between the first configuration and the second configuration comprises:
obtaining a first layout attribute of the first configuration; and comparing the first layout attribute with a second layout attribute of the second configuration. 8. The method of claim 7, wherein the comparing of the first layout attribute with the second layout attribute of the second configuration comprises comparing at least one of a width, a height, a width-to-height ratio, or an area between the first layout and the second layout. 9. The method of claim 1, wherein the configuring of the data in the second configuration, based on the second font, comprises configuring the second configuration to correspond to a display of the electronic apparatus. 10. The method of claim 1, wherein the obtaining of the data comprises receiving the data from another electronic apparatus that configures the first configuration based on the first font. 11. The method of claim 10, further comprising:
determining whether or not the electronic apparatus supports the first font; and determining, if the first font is not supported, the second font related to the first font. 12. The method of claim 1, wherein the configuring of the data in the second configuration comprises:
obtaining a font changing command by which the first font is to be changed into the second font; and configuring, in response to the font changing command, the data in the second configuration by using the second font. 13. An electronic apparatus comprising:
a display; and a processor configured to:
configure, when data that is configured in a first configuration based on a first font is obtained, the data in a second configuration based on a second font, and
change, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed,
wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. 14. The electronic apparatus of claim 13, wherein the second configuration is pre-configured to correspond to the second font. 15. The electronic apparatus of claim 13, wherein the processor is further configured to adjust attributes of the second font in order to thereby configure the data in the third configuration. 16. The electronic apparatus of claim 15, wherein the processor is further configured to make a control to change at least one of a width, a height-to-width ratio, a kerning, a height, a size, and a line space of the second font to then be displayed. 17. The electronic apparatus of claim 15, wherein the processor is further configured to adjust a boldness of the second font based on the adjusted second font attributes. 18. The electronic apparatus of claim 13, wherein the processor is further configured to compare the difference between the first configuration and the second configuration. 19. The electronic apparatus of claim 18, wherein the processor is further configured to:
obtain a first layout attribute of the first configuration, and compare the first layout attribute with a second layout attribute of the second configuration. 20. The electronic apparatus of claim 19, wherein the processor is further configured to compare at least one of a width, a height, a width-to-height ratio, or an area between the first layout and the second layout. 21. The electronic apparatus of claim 13, wherein the processor is further configured to configure the second configuration to correspond to a display of the electronic apparatus. 22. The electronic apparatus of claim 13, wherein the processor is further configured to receive the data from another electronic apparatus, and the first configuration is configured to correspond to a display of another electronic apparatus. 23. The electronic apparatus of claim 22, wherein the processor is further configured to:
determine whether the electronic apparatus supports the first font, and determine, if the first font is not supported, the second font related to the first font. 24. The electronic apparatus of claim 13, wherein the processor is further configured to:
obtain a font changing command by which the first font is to be changed into the second font, and configure, in response to the font changing command, the data in the second configuration by using the second font. 25. A method of configuring a screen, the method comprising:
obtaining data that includes a first configuration that is comprised of a plurality of objects to correspond to a first display; configuring the data in a second configuration to correspond to a second display; and changing, if the difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration that corresponds to the first configuration to then be displayed. 26. A method of configuring a screen, the method comprising:
obtaining data that includes a first object related to a first font, and a second object; and changing an attribute of the first object, based on the correlation between the first object and the second object, to display the attribute. 27. A method of configuring a screen of a second electronic apparatus that communicates with a first electronic apparatus, the method comprising:
obtaining data in a first font from the first electronic apparatus; expressing the data by using a second font; and changing, if a second layout based on the second font is different from a first layout based on the first font, an attribute of the second font such that the second layout corresponds to the first layout, and displaying the attribute. 28. A computer-readable storage medium that stores a screen configuration application that executes the operations of:
obtaining data that is configured in a first configuration based on a first font; configuring the data in a second configuration, based on a second font; and changing, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed, wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. | A method of configuring a screen of an electronic apparatus is provided. The method includes obtaining the data that is configured in the first configuration based on the first font, configuring the data in the second configuration, based on the second font, and if the difference between the first configuration and the second configuration is greater than a predetermined critical value, changing the second configuration into the third configuration to then be displayed, wherein the difference between the first configuration and the third configuration is less than predetermined critical value.1. A method of configuring a screen of an electronic apparatus, the method comprising:
obtaining data that is configured in a first configuration based on a first font; configuring the data in a second configuration, based on a second font; and changing, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed, wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. 2. The method of claim 1, wherein the second configuration is pre-configured to correspond to the second font. 3. The method of claim 1, wherein the changing of the second configuration into the third configuration to then be displayed comprises adjusting attributes of the second font in order to thereby change the data into the third configuration. 4. The method of claim 3, wherein the changing of the second configuration into the third configuration to then be displayed comprises changing at least one of a width, a height-to-width ratio, a kerning, a height, a size, and a line space of the second font to then be displayed. 5. The method of claim 3, further comprising adjusting a boldness of the second font based on the adjusted second font attributes. 6. The method of claim 1, further comprising comparing the difference between the first configuration and the second configuration. 7. The method of claim 6, wherein the comparing of the difference between the first configuration and the second configuration comprises:
obtaining a first layout attribute of the first configuration; and comparing the first layout attribute with a second layout attribute of the second configuration. 8. The method of claim 7, wherein the comparing of the first layout attribute with the second layout attribute of the second configuration comprises comparing at least one of a width, a height, a width-to-height ratio, or an area between the first layout and the second layout. 9. The method of claim 1, wherein the configuring of the data in the second configuration, based on the second font, comprises configuring the second configuration to correspond to a display of the electronic apparatus. 10. The method of claim 1, wherein the obtaining of the data comprises receiving the data from another electronic apparatus that configures the first configuration based on the first font. 11. The method of claim 10, further comprising:
determining whether or not the electronic apparatus supports the first font; and determining, if the first font is not supported, the second font related to the first font. 12. The method of claim 1, wherein the configuring of the data in the second configuration comprises:
obtaining a font changing command by which the first font is to be changed into the second font; and configuring, in response to the font changing command, the data in the second configuration by using the second font. 13. An electronic apparatus comprising:
a display; and a processor configured to:
configure, when data that is configured in a first configuration based on a first font is obtained, the data in a second configuration based on a second font, and
change, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed,
wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. 14. The electronic apparatus of claim 13, wherein the second configuration is pre-configured to correspond to the second font. 15. The electronic apparatus of claim 13, wherein the processor is further configured to adjust attributes of the second font in order to thereby configure the data in the third configuration. 16. The electronic apparatus of claim 15, wherein the processor is further configured to make a control to change at least one of a width, a height-to-width ratio, a kerning, a height, a size, and a line space of the second font to then be displayed. 17. The electronic apparatus of claim 15, wherein the processor is further configured to adjust a boldness of the second font based on the adjusted second font attributes. 18. The electronic apparatus of claim 13, wherein the processor is further configured to compare the difference between the first configuration and the second configuration. 19. The electronic apparatus of claim 18, wherein the processor is further configured to:
obtain a first layout attribute of the first configuration, and compare the first layout attribute with a second layout attribute of the second configuration. 20. The electronic apparatus of claim 19, wherein the processor is further configured to compare at least one of a width, a height, a width-to-height ratio, or an area between the first layout and the second layout. 21. The electronic apparatus of claim 13, wherein the processor is further configured to configure the second configuration to correspond to a display of the electronic apparatus. 22. The electronic apparatus of claim 13, wherein the processor is further configured to receive the data from another electronic apparatus, and the first configuration is configured to correspond to a display of another electronic apparatus. 23. The electronic apparatus of claim 22, wherein the processor is further configured to:
determine whether the electronic apparatus supports the first font, and determine, if the first font is not supported, the second font related to the first font. 24. The electronic apparatus of claim 13, wherein the processor is further configured to:
obtain a font changing command by which the first font is to be changed into the second font, and configure, in response to the font changing command, the data in the second configuration by using the second font. 25. A method of configuring a screen, the method comprising:
obtaining data that includes a first configuration that is comprised of a plurality of objects to correspond to a first display; configuring the data in a second configuration to correspond to a second display; and changing, if the difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration that corresponds to the first configuration to then be displayed. 26. A method of configuring a screen, the method comprising:
obtaining data that includes a first object related to a first font, and a second object; and changing an attribute of the first object, based on the correlation between the first object and the second object, to display the attribute. 27. A method of configuring a screen of a second electronic apparatus that communicates with a first electronic apparatus, the method comprising:
obtaining data in a first font from the first electronic apparatus; expressing the data by using a second font; and changing, if a second layout based on the second font is different from a first layout based on the first font, an attribute of the second font such that the second layout corresponds to the first layout, and displaying the attribute. 28. A computer-readable storage medium that stores a screen configuration application that executes the operations of:
obtaining data that is configured in a first configuration based on a first font; configuring the data in a second configuration, based on a second font; and changing, if a difference between the first configuration and the second configuration is greater than a predetermined critical value, the second configuration into a third configuration to then be displayed, wherein a difference between the first configuration and the third configuration is less than the predetermined critical value. | 2,100 |
4,801 | 14,642,656 | 2,191 | In a process for hot-swapping operating systems, an original operating system (OS) instance is executing on and controlling hardware of a computer. The original OS instance generates updated launch code that defines a division of the hardware into a source logical partition and a target logical partition. The original OS instance quiesces processes hardware of the target logical partition so that the original OS instance and an application running thereon are contained by the source logical partition. The original OS instance launches the updated OS instance so that it executes on the target logical partition. The application is moved from the source logical partition to the target logical partition. The original OS instance terminates. The updated OS instance claims hardware freed by the termination. | 1. A process comprising:
generating and storing, by an original operating-system (OS) instance controlling hardware devices of a computer, update launch code including,
computer-device identifiers identifying a computer set of devices included in the computer,
partition-device identifiers identifying a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
quiescing, by the original OS instance, the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical, partition including a source subset of the computer set; launching, by the original OS instance and using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and moving, by the original OS instance and the updated OS instance, an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 2. The process of claim 1 further comprising:
terminating the original OS instance; and
claiming, by the updated OS instance after the terminating, devices on which the original OS was executing after the quiescing and prior to the terminating. 3. The process of claim 1 wherein the launching is performed by a memory-resident kernel launcher that, during the moving, is shared by the original OS instance and the updated OS instance. 4. The process of claim 1 wherein the moving includes passing application state information from the original OS instance to the updated OS instance via shared memory shared by the original OS instance with the updated OS instance or via a network external to the computer. 5. The process of claim 1 further comprising configuring an input-output memory management unit (IOMMU) to protect memory of each of the source logical partition and the target logical partition from direct accesses by components of the other of the source logical partition and the target logical partition. 6. The process of claim 1 wherein, in response to posting, by the original OS instance, of a message in the shared memory, an interrupt controller sends an interrupt to a processor in the logical target partition. 7. The process of claim 6 wherein, in response to the message, the updated OS initializes a device identified in the message. 8. The process of claim 1 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. 9. A system comprising non-transitory storage media encoded with instructions that, when executed by hardware, cause the hardware to implement a process including:
generating and, storing, by an original operating-system (OS) instance controlling hardware devices of a computer, update launch code including,
computer-device identifiers identifying a computer set of devices included in the computer,
partition-device identifiers identifying a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
quiescing, by the original OS instance, the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical partition including a source subset of the computer set; launching, by the original OS instance and using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and moving, by the original OS instance and the updated OS instance, an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 10. The system of claim 9 further comprising:
terminating the original OS instance; and
claiming, by the updated OS instance after the terminating, devices on which the original OS instance was executing after the quiescing and prior to the terminating. 11. The system of claim 9 wherein the launching is performed by a memory-resident kernel launcher that, during the moving, is shared by the original OS instance and the updated OS instance. 12. The system of claim 9 wherein the moving includes passing application state information from the original OS instance to the target OS instance via shared memory shared by the original OS instance with the target OS instance or via a network external to the computer. 13. The system of claim 9 further comprising an input-output memory management unit (IOMMU), the process including configuring the IOMMU to protect memory of each of the source logical partition and the target logical partition from direct accesses by components of the other of the source logical partition and the target logical partition. 14. The system of claim 9 wherein, in response to posting, by the original OS instance, of a message in the shared memory, an interrupt controller sends an interrupt to a processor in the logical target partition. 15. The system of claim 14 wherein, in response to the message, the updated OS initializes a device identified in the message. 16. The system of claim 9 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. 17. The system of claim 9 further comprising the processor. 18. A computer comprising:
non-transitory media for storing data and instructions for manipulating the data; a processor for executing the instructions; and communications devices for transmitting and receiving at least some of the data; the media, processor and communications devices cooperating to define,
means for generating and storing update launch code including, the means for generating and storing being associated with an original operating-system (OS) instance controlling hardware devices of a computer,
computer-device identifiers identifying devices in a computer set of devices included in the computer,
partition-device identifiers identifying devices in a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
means for quiescing the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical partition including a source subset of the computer set;
means for launching, using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and
means for moving an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 19. The computer of claim 18 wherein the media, processor communications devices further cooperate to define,
means for terminating the original OS instance; and
means for claiming for use the updated OS after the terminating, devices on which the original OS was executing after the quiescing and prior to the terminating. 20. The computer of claim 18 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. | In a process for hot-swapping operating systems, an original operating system (OS) instance is executing on and controlling hardware of a computer. The original OS instance generates updated launch code that defines a division of the hardware into a source logical partition and a target logical partition. The original OS instance quiesces processes hardware of the target logical partition so that the original OS instance and an application running thereon are contained by the source logical partition. The original OS instance launches the updated OS instance so that it executes on the target logical partition. The application is moved from the source logical partition to the target logical partition. The original OS instance terminates. The updated OS instance claims hardware freed by the termination.1. A process comprising:
generating and storing, by an original operating-system (OS) instance controlling hardware devices of a computer, update launch code including,
computer-device identifiers identifying a computer set of devices included in the computer,
partition-device identifiers identifying a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
quiescing, by the original OS instance, the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical, partition including a source subset of the computer set; launching, by the original OS instance and using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and moving, by the original OS instance and the updated OS instance, an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 2. The process of claim 1 further comprising:
terminating the original OS instance; and
claiming, by the updated OS instance after the terminating, devices on which the original OS was executing after the quiescing and prior to the terminating. 3. The process of claim 1 wherein the launching is performed by a memory-resident kernel launcher that, during the moving, is shared by the original OS instance and the updated OS instance. 4. The process of claim 1 wherein the moving includes passing application state information from the original OS instance to the updated OS instance via shared memory shared by the original OS instance with the updated OS instance or via a network external to the computer. 5. The process of claim 1 further comprising configuring an input-output memory management unit (IOMMU) to protect memory of each of the source logical partition and the target logical partition from direct accesses by components of the other of the source logical partition and the target logical partition. 6. The process of claim 1 wherein, in response to posting, by the original OS instance, of a message in the shared memory, an interrupt controller sends an interrupt to a processor in the logical target partition. 7. The process of claim 6 wherein, in response to the message, the updated OS initializes a device identified in the message. 8. The process of claim 1 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. 9. A system comprising non-transitory storage media encoded with instructions that, when executed by hardware, cause the hardware to implement a process including:
generating and, storing, by an original operating-system (OS) instance controlling hardware devices of a computer, update launch code including,
computer-device identifiers identifying a computer set of devices included in the computer,
partition-device identifiers identifying a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
quiescing, by the original OS instance, the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical partition including a source subset of the computer set; launching, by the original OS instance and using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and moving, by the original OS instance and the updated OS instance, an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 10. The system of claim 9 further comprising:
terminating the original OS instance; and
claiming, by the updated OS instance after the terminating, devices on which the original OS instance was executing after the quiescing and prior to the terminating. 11. The system of claim 9 wherein the launching is performed by a memory-resident kernel launcher that, during the moving, is shared by the original OS instance and the updated OS instance. 12. The system of claim 9 wherein the moving includes passing application state information from the original OS instance to the target OS instance via shared memory shared by the original OS instance with the target OS instance or via a network external to the computer. 13. The system of claim 9 further comprising an input-output memory management unit (IOMMU), the process including configuring the IOMMU to protect memory of each of the source logical partition and the target logical partition from direct accesses by components of the other of the source logical partition and the target logical partition. 14. The system of claim 9 wherein, in response to posting, by the original OS instance, of a message in the shared memory, an interrupt controller sends an interrupt to a processor in the logical target partition. 15. The system of claim 14 wherein, in response to the message, the updated OS initializes a device identified in the message. 16. The system of claim 9 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. 17. The system of claim 9 further comprising the processor. 18. A computer comprising:
non-transitory media for storing data and instructions for manipulating the data; a processor for executing the instructions; and communications devices for transmitting and receiving at least some of the data; the media, processor and communications devices cooperating to define,
means for generating and storing update launch code including, the means for generating and storing being associated with an original operating-system (OS) instance controlling hardware devices of a computer,
computer-device identifiers identifying devices in a computer set of devices included in the computer,
partition-device identifiers identifying devices in a target subset of the computer set, the target subset including devices to be initially included in a target logical partition of the computer, and
executable launch code for launching an update OS instance;
means for quiescing the devices of the target subset so that the original OS instance is executed on a source logical partition of the computer, the source logical partition including a source subset of the computer set;
means for launching, using the executable launch code, the updated OS instance on the target logical partition so that each of the original OS instance and the updated OS instance run on the hardware previously controlled by the original OS instance; and
means for moving an application that had been executing on the original OS instance from the source logical partition to the target logical partition so that the application executes on the updated OS instance. 19. The computer of claim 18 wherein the media, processor communications devices further cooperate to define,
means for terminating the original OS instance; and
means for claiming for use the updated OS after the terminating, devices on which the original OS was executing after the quiescing and prior to the terminating. 20. The computer of claim 18 wherein the computer is of a type selected from a set consisting of general-purpose computer, server, laptop, tablet and smartphone. | 2,100 |
4,802 | 13,844,462 | 2,175 | Embodiments of the invention provide a method, system and computer program product for drag and drop manipulation of object attribute values. In an embodiment of the invention, a method for drag and drop manipulation of object attribute values is provided. The method includes detecting a drop event for an object in a GUI of an application executing in memory of a computer. The method additionally includes identifying a region of the GUI into which the object is dropped and retrieving a value associated with the identified region, that is additionally associated with an attribute of the object. Finally, the method includes setting the attribute of the object with the retrieved value | 1. A method for drag and drop manipulation of object attribute values, the method comprising:
detecting a drop event for an object in a graphical user interface (GUI) of an application executing in memory of a computer; identifying a region of the GUI into which the object is dropped; retrieving a value associated with the identified region, the value being additionally associated with an attribute of the object; and, setting the attribute of the object with the retrieved value. 2. The method of claim 1, further comprising:
selecting an attribute for a set of objects of the application; determining a value for the attribute for each of the objects; and, positioning each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 3. The method of claim 1, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. 4. A computer data processing system configured for drag and drop manipulation of object attribute values, the system comprising:
a host computer system comprising memory and at least one processor; an application executing in the memory of the host computer system and comprising a plurality of objects; a graphical user interface displayed for the application in the host computer system; and, a drag and drop module coupled to the application, the module comprising program code enabled to detect a drop event in the GUI for an object amongst the objects, to identify a region of the GUI into which the object is dropped, to retrieve a value associated with the identified region, the value being additionally associated with an attribute of the object, and to set the attribute of the object with the retrieved value. 5. The system of claim 4, wherein the program code of the module is further enabled to select an attribute for the objects, to determine a value for the attribute for each of the objects, and to position each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 6. The system of claim 4, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. 7. A computer program product for drag and drop manipulation of object attribute values, the computer program product comprising:
a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code for detecting a drop event for an object in a graphical user interface (GUI) of an application executing in memory of a computer; computer readable program code for identifying a region of the GUI into which the object is dropped; computer readable program code for retrieving a value associated with the identified region, the value being additionally associated with an attribute of the object; and, computer readable program code for setting the attribute of the object with the retrieved value. 8. The computer program product of claim 7, further comprising:
computer readable program code for selecting an attribute for a set of objects of the application; computer readable program code for determining a value for the attribute for each of the objects; and, computer readable program code for positioning each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 9. The computer program product of claim 7, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. | Embodiments of the invention provide a method, system and computer program product for drag and drop manipulation of object attribute values. In an embodiment of the invention, a method for drag and drop manipulation of object attribute values is provided. The method includes detecting a drop event for an object in a GUI of an application executing in memory of a computer. The method additionally includes identifying a region of the GUI into which the object is dropped and retrieving a value associated with the identified region, that is additionally associated with an attribute of the object. Finally, the method includes setting the attribute of the object with the retrieved value1. A method for drag and drop manipulation of object attribute values, the method comprising:
detecting a drop event for an object in a graphical user interface (GUI) of an application executing in memory of a computer; identifying a region of the GUI into which the object is dropped; retrieving a value associated with the identified region, the value being additionally associated with an attribute of the object; and, setting the attribute of the object with the retrieved value. 2. The method of claim 1, further comprising:
selecting an attribute for a set of objects of the application; determining a value for the attribute for each of the objects; and, positioning each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 3. The method of claim 1, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. 4. A computer data processing system configured for drag and drop manipulation of object attribute values, the system comprising:
a host computer system comprising memory and at least one processor; an application executing in the memory of the host computer system and comprising a plurality of objects; a graphical user interface displayed for the application in the host computer system; and, a drag and drop module coupled to the application, the module comprising program code enabled to detect a drop event in the GUI for an object amongst the objects, to identify a region of the GUI into which the object is dropped, to retrieve a value associated with the identified region, the value being additionally associated with an attribute of the object, and to set the attribute of the object with the retrieved value. 5. The system of claim 4, wherein the program code of the module is further enabled to select an attribute for the objects, to determine a value for the attribute for each of the objects, and to position each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 6. The system of claim 4, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. 7. A computer program product for drag and drop manipulation of object attribute values, the computer program product comprising:
a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code for detecting a drop event for an object in a graphical user interface (GUI) of an application executing in memory of a computer; computer readable program code for identifying a region of the GUI into which the object is dropped; computer readable program code for retrieving a value associated with the identified region, the value being additionally associated with an attribute of the object; and, computer readable program code for setting the attribute of the object with the retrieved value. 8. The computer program product of claim 7, further comprising:
computer readable program code for selecting an attribute for a set of objects of the application; computer readable program code for determining a value for the attribute for each of the objects; and, computer readable program code for positioning each one of the objects in a region of the GUI associated with a value of the attribute for the one of the objects. 9. The computer program product of claim 7, wherein the attribute of the object is set with the retrieved value by invoking a method member of the object programmed to set a value of the attribute. | 2,100 |
4,803 | 13,471,670 | 2,163 | Systems and methods are described that facilitate idempotent execution of commands generated by a client for execution by a database server. Each command transmitted to the server includes a command ID generated by the client. The server attempts to execute each command and subsequently stores the command ID associated therewith in a repository along with an indication of whether the command executed successfully. When a new command is received by the server, it determines if the command ID associated therewith has already been stored in the repository. If the command ID associated with the new command has not already been stored in the repository, then the server executes the new command. If the command ID associated with the new command has already been stored in the repository and a previously-received command associated with the command ID has been executed successfully, then the server will not execute the new command. | 1. A method, comprising:
a first method performed by a first instance of a database server executing on at least one of one or more machines, the first method comprising:
receiving one or more commands generated by a client and a command identifier associated with each of the one or more received commands;
attempting to execute each of the one or more received commands; and
for each of the one or more received commands, storing the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; and
a second method performed by a second instance of the database server executing on the at least one of the one or more machines, the second method comprising:
receiving a further command generated by the client and a command identifier associated with the received further command;
determining whether the command identifier associated with the received further command has already been stored in the repository; and
attempting to execute the received further command in response to at least a determination that the command identifier associated therewith has not already been stored in the repository. 2. The method of claim 1, wherein the second method further comprises:
not attempting to execute the received further command in response to a determination that the command identifier associated with the received further command has already been stored in the repository and a determination that a previously-received command associated with the same command identifier was executed successfully. 3. The method of claim 2, wherein the second method further comprises:
in response to the determination that the command identifier associated with the received further command has already been stored in the repository and the determination that the previously-received command associated with the same command identifier was executed successfully, returning a message indicating that the previously-received command was executed successfully and/or cached results generated during execution of the previously-received command. 4. The method of claim 1,
wherein the first method further comprises:
establishing a first session with the client, and
wherein receiving the one or more commands generated by the client comprises receiving the one or more commands generated by the client within the first session; and
wherein the second method further comprises:
establishing a second session with the client, and
wherein receiving the further command generated by the client comprises receiving the further command generated by the client within the second session. 5. The method of claim 4, wherein the first session and the second session are each associated with the same virtual session, wherein storing the command identifier associated with the received commands that are executed successfully in the repository comprises storing the command identifiers in association with an identifier of the virtual session, and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises accessing stored command identifiers associated with the identifier of the virtual session. 6. The method of claim 5, wherein each of the command identifiers associated with the one or more received commands and the received further command includes the identifier of the virtual session. 7. The method of claim 4, wherein the second session is established after the first session breaks. 8. The method of claim 1, wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
accessing a replicated copy of the repository that is stored in a storage medium that is accessible to the second instance of the database server. 9. The method of claim 1, wherein the repository is stored in a storage medium that is shared by both the first instance of the database server and the second instance of the database server and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
accessing the repository in the shared storage medium. 10. The method of claim 1, wherein the repository is stored in a storage medium that is not directly accessible by the second instance of the database server and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
requesting and receiving information concerning the contents of the repository from an entity that is capable of directly accessing the storage medium. 11. The method of claim 1, wherein the command identifiers associated with the received one or more commands and the received further command are generated by a component within a database driver of the client. 12. The method of claim 1, wherein the first method further comprises:
for each of the one or more received commands that is executed successfully, committing results of the successful execution of the received command only after the command identifier associated with the received command and an indication of the successful execution of the received command has been stored in the repository. 13. A method performed by a database server instance executing on a machine, comprising:
receiving one or more commands generated by a client and a command identifier associated with each of the one or more received commands; attempting to execute each of the one or more received commands; for each of the one or more received commands, storing the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; receiving a further command generated by the client and a command identifier associated with the received further command; determining whether the command identifier associated with the received further command has already been stored in the repository; and attempting to execute the received further command in response to at least determining that the command identifier associated therewith has not already been stored in the repository. 14. The method of claim 13, further comprising:
not attempting to execute the received further command in response to determining that the command identifier associated with the received further command has already been stored in the repository and that a previously-received command associated with the same command identifier was executed successfully. 15. The method of claim 14, further comprising:
in response to determining that the command identifier associated with the received further command has already been stored in the repository and that the previously-received command associated with the same command identifier was executed successfully, returning a message indicating that the previously-received command was executed successfully and/or cached results generated during execution of the previously-received command. 16. The method of claim 13, further comprising:
establishing a first session with the client, wherein receiving the one or more commands generated by the client comprises receiving the one or more commands generated by the client within the first session; and establishing a second session with the client, wherein receiving the further command generated by the client comprises receiving the further command generated by the client within the second session. 17. The method of claim 16, wherein the first session and the second session are each associated with the same virtual session, wherein storing the command identifier associated with the received commands that are executed successfully in the repository comprises storing the command identifiers in association with an identifier of the virtual session, and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises accessing stored command identifiers associated with the identifier of the virtual session. 18. The method of claim 16, wherein the second session is established after the first session breaks. 19. The method of claim 13, wherein the command identifiers associated with the received one or more commands and the received further command are generated by a component within a database driver of the client. 20. A system, comprising:
a first instance of a database server executing on at least one of one or more machines, the first instance of the database server being configured to receive one or more commands generated by a client and a command identifier associated with each of the one or more received commands, to attempt to execute each of the received commands, and, for each of the one or more received commands, to store the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; and a second instance of a database server executing on at least one of the one or more machines, the second instance of the database server being configured to receive a further command generated by the client and a command identifier associated with the received further command, to determine whether the command identifier associated with the received further command has already been stored in the repository, and to attempt to execute the received further command in response to at least determining that the command identifier associated therewith has not already been stored in the repository. | Systems and methods are described that facilitate idempotent execution of commands generated by a client for execution by a database server. Each command transmitted to the server includes a command ID generated by the client. The server attempts to execute each command and subsequently stores the command ID associated therewith in a repository along with an indication of whether the command executed successfully. When a new command is received by the server, it determines if the command ID associated therewith has already been stored in the repository. If the command ID associated with the new command has not already been stored in the repository, then the server executes the new command. If the command ID associated with the new command has already been stored in the repository and a previously-received command associated with the command ID has been executed successfully, then the server will not execute the new command.1. A method, comprising:
a first method performed by a first instance of a database server executing on at least one of one or more machines, the first method comprising:
receiving one or more commands generated by a client and a command identifier associated with each of the one or more received commands;
attempting to execute each of the one or more received commands; and
for each of the one or more received commands, storing the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; and
a second method performed by a second instance of the database server executing on the at least one of the one or more machines, the second method comprising:
receiving a further command generated by the client and a command identifier associated with the received further command;
determining whether the command identifier associated with the received further command has already been stored in the repository; and
attempting to execute the received further command in response to at least a determination that the command identifier associated therewith has not already been stored in the repository. 2. The method of claim 1, wherein the second method further comprises:
not attempting to execute the received further command in response to a determination that the command identifier associated with the received further command has already been stored in the repository and a determination that a previously-received command associated with the same command identifier was executed successfully. 3. The method of claim 2, wherein the second method further comprises:
in response to the determination that the command identifier associated with the received further command has already been stored in the repository and the determination that the previously-received command associated with the same command identifier was executed successfully, returning a message indicating that the previously-received command was executed successfully and/or cached results generated during execution of the previously-received command. 4. The method of claim 1,
wherein the first method further comprises:
establishing a first session with the client, and
wherein receiving the one or more commands generated by the client comprises receiving the one or more commands generated by the client within the first session; and
wherein the second method further comprises:
establishing a second session with the client, and
wherein receiving the further command generated by the client comprises receiving the further command generated by the client within the second session. 5. The method of claim 4, wherein the first session and the second session are each associated with the same virtual session, wherein storing the command identifier associated with the received commands that are executed successfully in the repository comprises storing the command identifiers in association with an identifier of the virtual session, and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises accessing stored command identifiers associated with the identifier of the virtual session. 6. The method of claim 5, wherein each of the command identifiers associated with the one or more received commands and the received further command includes the identifier of the virtual session. 7. The method of claim 4, wherein the second session is established after the first session breaks. 8. The method of claim 1, wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
accessing a replicated copy of the repository that is stored in a storage medium that is accessible to the second instance of the database server. 9. The method of claim 1, wherein the repository is stored in a storage medium that is shared by both the first instance of the database server and the second instance of the database server and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
accessing the repository in the shared storage medium. 10. The method of claim 1, wherein the repository is stored in a storage medium that is not directly accessible by the second instance of the database server and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises:
requesting and receiving information concerning the contents of the repository from an entity that is capable of directly accessing the storage medium. 11. The method of claim 1, wherein the command identifiers associated with the received one or more commands and the received further command are generated by a component within a database driver of the client. 12. The method of claim 1, wherein the first method further comprises:
for each of the one or more received commands that is executed successfully, committing results of the successful execution of the received command only after the command identifier associated with the received command and an indication of the successful execution of the received command has been stored in the repository. 13. A method performed by a database server instance executing on a machine, comprising:
receiving one or more commands generated by a client and a command identifier associated with each of the one or more received commands; attempting to execute each of the one or more received commands; for each of the one or more received commands, storing the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; receiving a further command generated by the client and a command identifier associated with the received further command; determining whether the command identifier associated with the received further command has already been stored in the repository; and attempting to execute the received further command in response to at least determining that the command identifier associated therewith has not already been stored in the repository. 14. The method of claim 13, further comprising:
not attempting to execute the received further command in response to determining that the command identifier associated with the received further command has already been stored in the repository and that a previously-received command associated with the same command identifier was executed successfully. 15. The method of claim 14, further comprising:
in response to determining that the command identifier associated with the received further command has already been stored in the repository and that the previously-received command associated with the same command identifier was executed successfully, returning a message indicating that the previously-received command was executed successfully and/or cached results generated during execution of the previously-received command. 16. The method of claim 13, further comprising:
establishing a first session with the client, wherein receiving the one or more commands generated by the client comprises receiving the one or more commands generated by the client within the first session; and establishing a second session with the client, wherein receiving the further command generated by the client comprises receiving the further command generated by the client within the second session. 17. The method of claim 16, wherein the first session and the second session are each associated with the same virtual session, wherein storing the command identifier associated with the received commands that are executed successfully in the repository comprises storing the command identifiers in association with an identifier of the virtual session, and wherein determining whether the command identifier associated with the received further command has already been stored in the repository comprises accessing stored command identifiers associated with the identifier of the virtual session. 18. The method of claim 16, wherein the second session is established after the first session breaks. 19. The method of claim 13, wherein the command identifiers associated with the received one or more commands and the received further command are generated by a component within a database driver of the client. 20. A system, comprising:
a first instance of a database server executing on at least one of one or more machines, the first instance of the database server being configured to receive one or more commands generated by a client and a command identifier associated with each of the one or more received commands, to attempt to execute each of the received commands, and, for each of the one or more received commands, to store the command identifier associated therewith in a repository along with an indication of whether the received command was executed successfully; and a second instance of a database server executing on at least one of the one or more machines, the second instance of the database server being configured to receive a further command generated by the client and a command identifier associated with the received further command, to determine whether the command identifier associated with the received further command has already been stored in the repository, and to attempt to execute the received further command in response to at least determining that the command identifier associated therewith has not already been stored in the repository. | 2,100 |
4,804 | 12,616,028 | 2,153 | Systems and methods for providing aggregated transaction level data for a particular user to multiple information requesters are disclosed. Subkeys are assigned to user inquiries from multiple information requesters and a super key is assigned to those subkeys to link them to one or more user identifiers such as a username or Social Security number. Account level data is provided based on the super key and the user identifiers. Duplicate requests for aggregated transaction level data contained in the user inquiries can be deleted. User inquiry response files containing transaction level aggregate data can be sent to the information requesters based on the assigned subkeys. | 1. A method for providing aggregated user data comprising:
receiving a plurality of different user inquiry messages relating to a user from a plurality of information requesters at a transaction server; assigning subkeys to the different user inquiry messages; combining the plurality of user inquiry messages into a combined user inquiry message using the transaction server; assigning a super key to the combined user inquiry message using the transaction server; and sending the super key and the combined user inquiry message from the transaction server to one or more data sources. 2. The method of claim 1 further comprising receiving raw transaction level data for at least some accounts associated with the user. 3. The method of claim 2 wherein the plurality of different user inquiry messages relating to the user each comprise at least one request for aggregated transaction level data for at least some accounts associated with the user. 4. The method of claim 3 wherein combining the plurality of user inquiry messages further comprises deleting duplicate requests for aggregated transaction level data in the plurality of user inquiry messages. 5. The method of claim 4 further comprising assigning the super key to the accounts associated with the user. 6. The method of claim 5 further comprising running a report on the raw transaction level data to generate the requested aggregated transaction level data in the plurality of user inquiry messages using the transaction server. 7. The method of claim 6 further comprising parsing the requested aggregated transaction level data into a plurality of individual user inquiry response files based on the sub keys and sending the plurality of individual user inquiry response files to the information requester corresponding to the sub keys. 8. A system for providing user risk data comprising:
a transaction database; and an aggregator, wherein the aggregator is configured to receive a plurality of different user inquiry messages relating to a user from a plurality of information requesters, combine the plurality of user inquiry messages in a combined user inquiry message, assign a super key to the combined user inquiry message; and send the super key and the combined user inquiry message to one or more data sources. 9. The system of claim 8 wherein the aggregator is further configured to assign subkeys to the different user inquiry messages. 10. The system of claims 9 wherein the plurality of different user inquiry messages each comprise at least one request for aggregated transaction level data. 11. The system of claim 10 wherein the aggregator is further configured to delete duplicate requests for aggregated transaction level data in the plurality of user inquiry messages. 12. The system of claim 11 wherein the aggregator is further configured to receive a linkage response file from the one or more data sources that comprises links between at least some accounts associated with the user and the super key. 13. The system of claim 12 wherein the aggregator is further configured to link the super key to the subkeys. 14. The system of claim 17 wherein the aggregator is further configured to receive raw transaction level data for at least some of the accounts associated with the user. 15. The system of claim 14 wherein the aggregator is further configured to run at least one report on the raw transaction level data to generate at least some of the requested aggregated transaction level data in the plurality of user inquiry messages 16. The system of claim 15 wherein the aggregator is further configured to parse the requested aggregated transaction level data into a plurality of individual user inquiry response files based on the sub keys and sending the plurality of individual user inquiry response files to the information requesters corresponding to the sub keys. 17. A method of reporting user account data based on a combined user inquiry message using a server comprising:
receiving the combined user inquiry message using the server; parsing a super key from the combined user inquiry message using the server; parsing user identifiers from the combined user inquiry message using the server; retrieving account data associated with the user identifiers using the server; and sending the account data to one or more other servers from the server. 18. The method of claim 17 wherein sending the account data to one or more other servers from the server further comprises linking the account data to the super key. | Systems and methods for providing aggregated transaction level data for a particular user to multiple information requesters are disclosed. Subkeys are assigned to user inquiries from multiple information requesters and a super key is assigned to those subkeys to link them to one or more user identifiers such as a username or Social Security number. Account level data is provided based on the super key and the user identifiers. Duplicate requests for aggregated transaction level data contained in the user inquiries can be deleted. User inquiry response files containing transaction level aggregate data can be sent to the information requesters based on the assigned subkeys.1. A method for providing aggregated user data comprising:
receiving a plurality of different user inquiry messages relating to a user from a plurality of information requesters at a transaction server; assigning subkeys to the different user inquiry messages; combining the plurality of user inquiry messages into a combined user inquiry message using the transaction server; assigning a super key to the combined user inquiry message using the transaction server; and sending the super key and the combined user inquiry message from the transaction server to one or more data sources. 2. The method of claim 1 further comprising receiving raw transaction level data for at least some accounts associated with the user. 3. The method of claim 2 wherein the plurality of different user inquiry messages relating to the user each comprise at least one request for aggregated transaction level data for at least some accounts associated with the user. 4. The method of claim 3 wherein combining the plurality of user inquiry messages further comprises deleting duplicate requests for aggregated transaction level data in the plurality of user inquiry messages. 5. The method of claim 4 further comprising assigning the super key to the accounts associated with the user. 6. The method of claim 5 further comprising running a report on the raw transaction level data to generate the requested aggregated transaction level data in the plurality of user inquiry messages using the transaction server. 7. The method of claim 6 further comprising parsing the requested aggregated transaction level data into a plurality of individual user inquiry response files based on the sub keys and sending the plurality of individual user inquiry response files to the information requester corresponding to the sub keys. 8. A system for providing user risk data comprising:
a transaction database; and an aggregator, wherein the aggregator is configured to receive a plurality of different user inquiry messages relating to a user from a plurality of information requesters, combine the plurality of user inquiry messages in a combined user inquiry message, assign a super key to the combined user inquiry message; and send the super key and the combined user inquiry message to one or more data sources. 9. The system of claim 8 wherein the aggregator is further configured to assign subkeys to the different user inquiry messages. 10. The system of claims 9 wherein the plurality of different user inquiry messages each comprise at least one request for aggregated transaction level data. 11. The system of claim 10 wherein the aggregator is further configured to delete duplicate requests for aggregated transaction level data in the plurality of user inquiry messages. 12. The system of claim 11 wherein the aggregator is further configured to receive a linkage response file from the one or more data sources that comprises links between at least some accounts associated with the user and the super key. 13. The system of claim 12 wherein the aggregator is further configured to link the super key to the subkeys. 14. The system of claim 17 wherein the aggregator is further configured to receive raw transaction level data for at least some of the accounts associated with the user. 15. The system of claim 14 wherein the aggregator is further configured to run at least one report on the raw transaction level data to generate at least some of the requested aggregated transaction level data in the plurality of user inquiry messages 16. The system of claim 15 wherein the aggregator is further configured to parse the requested aggregated transaction level data into a plurality of individual user inquiry response files based on the sub keys and sending the plurality of individual user inquiry response files to the information requesters corresponding to the sub keys. 17. A method of reporting user account data based on a combined user inquiry message using a server comprising:
receiving the combined user inquiry message using the server; parsing a super key from the combined user inquiry message using the server; parsing user identifiers from the combined user inquiry message using the server; retrieving account data associated with the user identifiers using the server; and sending the account data to one or more other servers from the server. 18. The method of claim 17 wherein sending the account data to one or more other servers from the server further comprises linking the account data to the super key. | 2,100 |
4,805 | 14,856,667 | 2,152 | Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting the subject, logistics, and resources of associated with a communication event. Predictions and suggestions can occur prior to, during, or in response to communication events. The user can confirm the prediction or suggestion via user input such as a click or a voice command. The system can analyze past behavior patterns with respect to the subject, logistics and resources of communication events, followed by preparing ranked listings of which subjects, logistics, and resources are most likely to be used in a given situation. The predicted logistics may then include people to invite, time and date of the meeting, its duration, location, and anything else useful in helping potential participants gather together. The resources may include files attached, files used, communication event minutes, recordings made, Internet browsers and other programs which may be utilized by the user. | 1. A method comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource; receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event; determining, via a processor, whether the data matches the common characteristic to yield a determination; and based on the determination, associating the invitation with the resource. 2. The method of claim 1, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 3. The method of claim 1, wherein the resource is a document used in the series of previous communication events. 4. The method of claim 1, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 5. The method of claim 1, wherein the data is a partial amount of information that is required to create the invitation 6. The method of claim 1, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 7. The method of claim 1, further comprising:
predicting a subject matter of the future communication event based on a commonly shared subject matter of the series of communication events to yield a predicted subject matter; and associating the invitation with the predicted subject matter. 8. The method of claim 1, further comprising:
predicting logistics the future communication event based on commonly shared logistics of the series of communication events to yield predicted logistics; and associating the invitation with the predicted logistics. 9. A system comprising:
a processor; and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource;
receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event;
determining whether the data matches the common characteristic to yield a determination; and
based on the determination, associating the invitation with the resource. 10. The system of claim 9, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 11. The system of claim 9, wherein the resource is a document used in the series of previous communication events. 12. The system of claim 9, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 13. The system of claim 9, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 14. The system of claim 9, the computer-readable medium storing additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:
predicting a subject matter of the future communication event based on a commonly shared subject matter of the series of communication events to yield a predicted subject matter; and associating the invitation with the predicted subject matter. 15. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource; receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event; determining whether the data matches the common characteristic to yield a determination; and based on the determination, associating the invitation with the resource. 16. The computer-readable storage device of claim 15, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 17. The computer-readable storage device of claim 15, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 18. The computer-readable storage device of claim 15, wherein the data is a partial amount of information that is required to create the invitation 19. The computer-readable storage device of claim 15, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 20. The computer-readable storage device of claim 15, storing additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:
predicting logistics the future communication event based on commonly shared logistics of the series of communication events to yield predicted logistics; and associating the invitation with the predicted logistics. | Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting the subject, logistics, and resources of associated with a communication event. Predictions and suggestions can occur prior to, during, or in response to communication events. The user can confirm the prediction or suggestion via user input such as a click or a voice command. The system can analyze past behavior patterns with respect to the subject, logistics and resources of communication events, followed by preparing ranked listings of which subjects, logistics, and resources are most likely to be used in a given situation. The predicted logistics may then include people to invite, time and date of the meeting, its duration, location, and anything else useful in helping potential participants gather together. The resources may include files attached, files used, communication event minutes, recordings made, Internet browsers and other programs which may be utilized by the user.1. A method comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource; receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event; determining, via a processor, whether the data matches the common characteristic to yield a determination; and based on the determination, associating the invitation with the resource. 2. The method of claim 1, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 3. The method of claim 1, wherein the resource is a document used in the series of previous communication events. 4. The method of claim 1, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 5. The method of claim 1, wherein the data is a partial amount of information that is required to create the invitation 6. The method of claim 1, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 7. The method of claim 1, further comprising:
predicting a subject matter of the future communication event based on a commonly shared subject matter of the series of communication events to yield a predicted subject matter; and associating the invitation with the predicted subject matter. 8. The method of claim 1, further comprising:
predicting logistics the future communication event based on commonly shared logistics of the series of communication events to yield predicted logistics; and associating the invitation with the predicted logistics. 9. A system comprising:
a processor; and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource;
receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event;
determining whether the data matches the common characteristic to yield a determination; and
based on the determination, associating the invitation with the resource. 10. The system of claim 9, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 11. The system of claim 9, wherein the resource is a document used in the series of previous communication events. 12. The system of claim 9, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 13. The system of claim 9, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 14. The system of claim 9, the computer-readable medium storing additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:
predicting a subject matter of the future communication event based on a commonly shared subject matter of the series of communication events to yield a predicted subject matter; and associating the invitation with the predicted subject matter. 15. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising:
identifying a series of previous communication events having a common characteristic and being associated with a resource; receiving a request to create an invitation for a future communication event, the request comprising data associated with the future communication event; determining whether the data matches the common characteristic to yield a determination; and based on the determination, associating the invitation with the resource. 16. The computer-readable storage device of claim 15, wherein the future communication event is at least one of an in-person meeting, a conference call, a video conference, or a virtual meeting. 17. The computer-readable storage device of claim 15, wherein the common characteristic is at least one of common participants, a common subject matter, a common day of a week, a common time, a common duration, or a common resource. 18. The computer-readable storage device of claim 15, wherein the data is a partial amount of information that is required to create the invitation 19. The computer-readable storage device of claim 15, wherein associating the invitation with the resource comprises populating a resource field of the invitation with an identifier of the resource. 20. The computer-readable storage device of claim 15, storing additional instructions which, when executed by the processor, cause the processor to perform further operations comprising:
predicting logistics the future communication event based on commonly shared logistics of the series of communication events to yield predicted logistics; and associating the invitation with the predicted logistics. | 2,100 |
4,806 | 14,523,175 | 2,194 | One embodiment provides a method, comprising: embedding, using a processor, code within an application; detecting, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receiving, using a processor, data associated with the selected object; and sending, using a processor, data associated with the selected object to an application selected from the group consisting of the application and another application. Other aspects are described and claimed. | 1. A method, comprising:
embedding, using a processor, code within an application after the application is oven; detecting, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receiving, using a processor, data associated with the selected object; and sending, using a processor, data associated with the selected object to an application selected from the group consisting of the application and another application. 2. The method of claim 1, wherein the application is embedded within an application. 3. The method of claim 1, wherein the embedding comprises downloading code associated with the application and adding invisible elements to the code associated with the application. 4. The method of claim 3, wherein the receiving comprises receiving an invisible element associated with the selected object. 5. The method of claim 1, wherein the code comprises tags, wherein the tags comprise a tag identifier associated with objects within the application. 6. The method of claim 5, wherein the receiving comprises receiving a tag associated with the selected object. 7. The method of claim 1, wherein the code comprises a hierarchy associated with an object within the application, wherein the hierarchy describes a location of an object within the application. 8. The method of claim 7, wherein the receiving comprises receiving the hierarchy associated with the selected object. 9. The method of claim 1, wherein the data sent is selected from the group consisting of hierarchy data, tag data, invisible element data, and the selected object. 10. The method of claim 1, wherein the application is a web browser, and wherein the code comprises a programming language allowing external call back functions. 11. An information handling device, comprising:
a processor; a memory device that stores instructions executable by the processor to: embed code within an application after the application is open; detect, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receive data associated with the selected object; and send data associated with the selected object to an application selected from the group consisting of: the application and another application. 12. The information handling device of claim 11, wherein the application is embedded within an application. 13. The information handling device of claim 11, wherein to embed comprises downloading code associated with the application and adding invisible elements to the code associated with the application. 14. The information handling device of claim 13, wherein to receive comprises receiving an invisible element associated with the selected object. 15. The information handling device of claim 11, wherein the code comprises tags, wherein the tags comprise a tag identifier associated with objects within the application. 16. The information handling device of claim 15, wherein to receive comprises receiving a tag associated with the selected object. 17. The information handling device of claim 11, wherein the code comprises a hierarchy associated with an object within the application, wherein the hierarchy describes a location of an object within the application. 18. The information handling device of claim 17, wherein to receive comprises receiving the hierarchy associated with the selected object. 19. The information handling device of claim 11, wherein the data sent is selected from the group consisting of: hierarchy data, tag data, invisible element data, and the selected object. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by the processor and comprising: code that embeds, using a processor, code within an application after the application is open; code that detects, at an electronic device, a user input within the application, wherein the user input selects an object within the application; code that receives, using a processor, data associated with the selected object; and code that sends, using a processor, data associated with the selected object to an application selected from the group consisting of: the application and another application. | One embodiment provides a method, comprising: embedding, using a processor, code within an application; detecting, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receiving, using a processor, data associated with the selected object; and sending, using a processor, data associated with the selected object to an application selected from the group consisting of the application and another application. Other aspects are described and claimed.1. A method, comprising:
embedding, using a processor, code within an application after the application is oven; detecting, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receiving, using a processor, data associated with the selected object; and sending, using a processor, data associated with the selected object to an application selected from the group consisting of the application and another application. 2. The method of claim 1, wherein the application is embedded within an application. 3. The method of claim 1, wherein the embedding comprises downloading code associated with the application and adding invisible elements to the code associated with the application. 4. The method of claim 3, wherein the receiving comprises receiving an invisible element associated with the selected object. 5. The method of claim 1, wherein the code comprises tags, wherein the tags comprise a tag identifier associated with objects within the application. 6. The method of claim 5, wherein the receiving comprises receiving a tag associated with the selected object. 7. The method of claim 1, wherein the code comprises a hierarchy associated with an object within the application, wherein the hierarchy describes a location of an object within the application. 8. The method of claim 7, wherein the receiving comprises receiving the hierarchy associated with the selected object. 9. The method of claim 1, wherein the data sent is selected from the group consisting of hierarchy data, tag data, invisible element data, and the selected object. 10. The method of claim 1, wherein the application is a web browser, and wherein the code comprises a programming language allowing external call back functions. 11. An information handling device, comprising:
a processor; a memory device that stores instructions executable by the processor to: embed code within an application after the application is open; detect, at an electronic device, a user input within the application, wherein the user input selects an object within the application; receive data associated with the selected object; and send data associated with the selected object to an application selected from the group consisting of: the application and another application. 12. The information handling device of claim 11, wherein the application is embedded within an application. 13. The information handling device of claim 11, wherein to embed comprises downloading code associated with the application and adding invisible elements to the code associated with the application. 14. The information handling device of claim 13, wherein to receive comprises receiving an invisible element associated with the selected object. 15. The information handling device of claim 11, wherein the code comprises tags, wherein the tags comprise a tag identifier associated with objects within the application. 16. The information handling device of claim 15, wherein to receive comprises receiving a tag associated with the selected object. 17. The information handling device of claim 11, wherein the code comprises a hierarchy associated with an object within the application, wherein the hierarchy describes a location of an object within the application. 18. The information handling device of claim 17, wherein to receive comprises receiving the hierarchy associated with the selected object. 19. The information handling device of claim 11, wherein the data sent is selected from the group consisting of: hierarchy data, tag data, invisible element data, and the selected object. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by the processor and comprising: code that embeds, using a processor, code within an application after the application is open; code that detects, at an electronic device, a user input within the application, wherein the user input selects an object within the application; code that receives, using a processor, data associated with the selected object; and code that sends, using a processor, data associated with the selected object to an application selected from the group consisting of: the application and another application. | 2,100 |
4,807 | 13,872,822 | 2,192 | A computer-controlled method can include an application providing a request to a resource adapter and, responsive to receiving the request, the resource adapter instructing a Java Messaging Service (JMS) provider to provide an object. The JMS provider can provide the requested object to the resource adapter. The resource adapter can send to a class loader a request for the class loader to create a class and, responsive thereto, the class loader can create the class and provide it to the resource adapter. The resource adapter can instantiate the class to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application. | 1. A computer-controlled method, comprising:
an application providing a request to a resource adapter; responsive to receiving the request, the resource adapter instructing a messaging provider to provide an object; and the messaging provider providing the requested object to the resource adapter; the resource adapter sending to a class loader a request for the class loader to create a class; the class loader creating the class; the class loader providing the class to the resource adapter; the resource adapter instantiating the class to create a wrapper object; the resource adapter wrapping the object based on the wrapper object; the resource adapter sending the wrapped object to the application. 2. The computer-controlled method of claim 1, wherein the application is managed by an application server. 3. The computer-controlled method of claim 2, wherein the application resides on the application server. 4. The computer-controlled method of claim 1, wherein the object is one of a group consisting of the following: a connection, a session, a queue, a topic, a producer, a message, and a consumer. 5. The computer-controlled method of claim 1, further comprising the resource adapter instance storing the class. 6. The computer-controlled method of claim 1, wherein the messaging provider is a Java Messaging Service (JMS) provider. 7. One or more non-transitory computer-readable media storing instructions that, when executed by a processor, cause the processor to perform the computer-controlled method of claim 1. 8. A computer-controlled method, comprising:
an application providing a request to a resource adapter; responsive to receiving the request, the resource adapter instructing a messaging provider to provide an object; and the messaging provider providing the requested object to the resource adapter; the resource adapter instance storing a plurality of previously-created classes; the resource adapter instantiating one of the stored classes to create a wrapper object; the resource adapter wrapping the object based on the wrapper object; the resource adapter sending the wrapped object to the application. 9. The computer-controlled method of claim 8, wherein the application is managed by an application server. 10. The computer-controlled method of claim 9, wherein the application resides on the application server. 11. The computer-controlled method of claim 8, wherein the object is one of a group consisting of the following: a connection, a session, a queue, a topic, a producer, a message, and a consumer. 12. The computer-controlled method of claim 8, wherein the messaging provider is a Java Messaging Service (JMS) provider. 13. One or more non-transitory computer-readable media storing instructions that, when executed by a processor, cause the processor to perform the computer-controlled method of claim 8. 14. A system, comprising:
a messaging provider; a first device hosting an application or application server configured to provide a request; a second device hosting a resource adapter configured to receive the request from the application or application server and, responsive to receiving the request, instruct the messaging provider to provide an object, wherein the messaging provider is configured to provide the requested object to the resource adapter, wherein the resource adapter is further configured to send to a class loader a request for the class loader to create a class, wherein the class loader is configured to create the class and provide the class to the resource adapter, and wherein the resource adapter is further configured to instantiate the class to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application or application server; and a class loader configured to receive from the resource adapter a request to create the class, create the class, and provide the created class to the resource adapter. 15. The system of claim 14, wherein the resource adapter instance is configured to store the class. 16. The system of claim 14, wherein the messaging provider is a Java Messaging Service (JMS) provider. 17. A system, comprising:
a messaging provider; a first device hosting an application or application server configured to provide a request; a second device hosting a resource adapter configured to store a plurality of previously-created classes and also to receive the request from the application or application server and, responsive to receiving the request, instruct the messaging provider to provide an object, wherein the messaging provider is configured to provide the requested object to the resource adapter, and wherein the resource adapter is further configured to instantiate one of the plurality of previously-created classes to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application or application server. 18. The system of claim 17, wherein the messaging provider is a Java Messaging Service (JMS) provider. | A computer-controlled method can include an application providing a request to a resource adapter and, responsive to receiving the request, the resource adapter instructing a Java Messaging Service (JMS) provider to provide an object. The JMS provider can provide the requested object to the resource adapter. The resource adapter can send to a class loader a request for the class loader to create a class and, responsive thereto, the class loader can create the class and provide it to the resource adapter. The resource adapter can instantiate the class to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application.1. A computer-controlled method, comprising:
an application providing a request to a resource adapter; responsive to receiving the request, the resource adapter instructing a messaging provider to provide an object; and the messaging provider providing the requested object to the resource adapter; the resource adapter sending to a class loader a request for the class loader to create a class; the class loader creating the class; the class loader providing the class to the resource adapter; the resource adapter instantiating the class to create a wrapper object; the resource adapter wrapping the object based on the wrapper object; the resource adapter sending the wrapped object to the application. 2. The computer-controlled method of claim 1, wherein the application is managed by an application server. 3. The computer-controlled method of claim 2, wherein the application resides on the application server. 4. The computer-controlled method of claim 1, wherein the object is one of a group consisting of the following: a connection, a session, a queue, a topic, a producer, a message, and a consumer. 5. The computer-controlled method of claim 1, further comprising the resource adapter instance storing the class. 6. The computer-controlled method of claim 1, wherein the messaging provider is a Java Messaging Service (JMS) provider. 7. One or more non-transitory computer-readable media storing instructions that, when executed by a processor, cause the processor to perform the computer-controlled method of claim 1. 8. A computer-controlled method, comprising:
an application providing a request to a resource adapter; responsive to receiving the request, the resource adapter instructing a messaging provider to provide an object; and the messaging provider providing the requested object to the resource adapter; the resource adapter instance storing a plurality of previously-created classes; the resource adapter instantiating one of the stored classes to create a wrapper object; the resource adapter wrapping the object based on the wrapper object; the resource adapter sending the wrapped object to the application. 9. The computer-controlled method of claim 8, wherein the application is managed by an application server. 10. The computer-controlled method of claim 9, wherein the application resides on the application server. 11. The computer-controlled method of claim 8, wherein the object is one of a group consisting of the following: a connection, a session, a queue, a topic, a producer, a message, and a consumer. 12. The computer-controlled method of claim 8, wherein the messaging provider is a Java Messaging Service (JMS) provider. 13. One or more non-transitory computer-readable media storing instructions that, when executed by a processor, cause the processor to perform the computer-controlled method of claim 8. 14. A system, comprising:
a messaging provider; a first device hosting an application or application server configured to provide a request; a second device hosting a resource adapter configured to receive the request from the application or application server and, responsive to receiving the request, instruct the messaging provider to provide an object, wherein the messaging provider is configured to provide the requested object to the resource adapter, wherein the resource adapter is further configured to send to a class loader a request for the class loader to create a class, wherein the class loader is configured to create the class and provide the class to the resource adapter, and wherein the resource adapter is further configured to instantiate the class to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application or application server; and a class loader configured to receive from the resource adapter a request to create the class, create the class, and provide the created class to the resource adapter. 15. The system of claim 14, wherein the resource adapter instance is configured to store the class. 16. The system of claim 14, wherein the messaging provider is a Java Messaging Service (JMS) provider. 17. A system, comprising:
a messaging provider; a first device hosting an application or application server configured to provide a request; a second device hosting a resource adapter configured to store a plurality of previously-created classes and also to receive the request from the application or application server and, responsive to receiving the request, instruct the messaging provider to provide an object, wherein the messaging provider is configured to provide the requested object to the resource adapter, and wherein the resource adapter is further configured to instantiate one of the plurality of previously-created classes to create a wrapper object, wrap the object based on the wrapper object, and send the wrapped object to the application or application server. 18. The system of claim 17, wherein the messaging provider is a Java Messaging Service (JMS) provider. | 2,100 |
4,808 | 13,932,067 | 2,159 | Embodiments of the present invention provide a method for identifying discrepancies in digital map data, comprising selecting one or more candidate locations as a subset of locations within positional data relating to the movement of a plurality of devices with respect to time in an area, allocating each of the candidate locations to one or more predetermined categories based upon a distribution of travel directions of the devices at each candidate location and comparing the candidate locations against a database of map data and identifying locations of possible discrepancies in the digital map data based upon the category of each candidate location. | 1. A method for identifying discrepancies in digital map data, comprising:
selecting one or more candidate locations as a subset of locations within positional data relating to the movement of a plurality of devices with respect to time in an area; allocating each of the candidate locations to one or more predetermined categories based upon a distribution of travel directions of the devices at each candidate location; and comparing the candidate locations against a database of map data and identifying locations of possible discrepancies in the digital map data based upon the category of each candidate location. 2. The method of claim 1, comprising determining the distribution of travel directions as a directional histogram. 3. The method of claim 2, comprising determining a rotation invariant histogram based upon the directional histogram. 4. The method of claim 2, wherein the allocating is based upon the directional histogram or the rotation invariant histogram. 5. The method of claim 1, wherein the allocating is performed by a trained model. 6. The method of claim 1, comprising determining an association between proximate candidate locations based upon the distribution of travel directions at each candidate location. 7. The method of claim 6, wherein the association is determined, at least in part, based upon a metric indicative of a similarity between the distribution of travel directions for adjacent candidate locations. 8. The method of claim 6, wherein the comparing of the candidate locations against the database of map data comprises comparing the category and association of each candidate location against the map data. 9. The method of claim 1, wherein the comparing results in a likelihood of a possible discrepancy in the digital map data at the candidate location. 10. The method of claim 1, wherein the candidate locations are selected by determining locations of local maxima in the positional data. 11. The method of claim 1, comprising a step of allocating the positional data to a pixel map corresponding to the area and determining, for at least pixels traversed by one or more devices, a value indicative of the number of devices traversing each pixel in the positional data. 12. A method of training a model to classify features in positional data, comprising:
providing a training set comprising a plurality of distributions of travel directions of navigation devices, each distribution having an associated category identifier; and training a classification model to classify travel direction distributions based upon the training set. 13. The method of claim 12, wherein the category identifier is indicative of each distribution of travel directions being one of a 1-way road, a 2-way road, a junction and clutter. 14. The method of claim 12, comprising training a second classification model to identify possible discrepancies in digital map data based upon the category of each candidate location and an association of each candidate location with proximate candidate locations. 15. The method of claim 12, comprising using the classification model in the method of claim 1 to allocate each of the candidate locations to the one or more predetermined categories. 16. A non-transitory computer-readable medium comprising computer software which, when executed by a computer, is arranged to cause the computer to perform the method of claim 1. 17. A non-transitory computer-readable medium comprising computer software which, when executed by a computer, is arranged to cause the computer to perform the method of claim 12. | Embodiments of the present invention provide a method for identifying discrepancies in digital map data, comprising selecting one or more candidate locations as a subset of locations within positional data relating to the movement of a plurality of devices with respect to time in an area, allocating each of the candidate locations to one or more predetermined categories based upon a distribution of travel directions of the devices at each candidate location and comparing the candidate locations against a database of map data and identifying locations of possible discrepancies in the digital map data based upon the category of each candidate location.1. A method for identifying discrepancies in digital map data, comprising:
selecting one or more candidate locations as a subset of locations within positional data relating to the movement of a plurality of devices with respect to time in an area; allocating each of the candidate locations to one or more predetermined categories based upon a distribution of travel directions of the devices at each candidate location; and comparing the candidate locations against a database of map data and identifying locations of possible discrepancies in the digital map data based upon the category of each candidate location. 2. The method of claim 1, comprising determining the distribution of travel directions as a directional histogram. 3. The method of claim 2, comprising determining a rotation invariant histogram based upon the directional histogram. 4. The method of claim 2, wherein the allocating is based upon the directional histogram or the rotation invariant histogram. 5. The method of claim 1, wherein the allocating is performed by a trained model. 6. The method of claim 1, comprising determining an association between proximate candidate locations based upon the distribution of travel directions at each candidate location. 7. The method of claim 6, wherein the association is determined, at least in part, based upon a metric indicative of a similarity between the distribution of travel directions for adjacent candidate locations. 8. The method of claim 6, wherein the comparing of the candidate locations against the database of map data comprises comparing the category and association of each candidate location against the map data. 9. The method of claim 1, wherein the comparing results in a likelihood of a possible discrepancy in the digital map data at the candidate location. 10. The method of claim 1, wherein the candidate locations are selected by determining locations of local maxima in the positional data. 11. The method of claim 1, comprising a step of allocating the positional data to a pixel map corresponding to the area and determining, for at least pixels traversed by one or more devices, a value indicative of the number of devices traversing each pixel in the positional data. 12. A method of training a model to classify features in positional data, comprising:
providing a training set comprising a plurality of distributions of travel directions of navigation devices, each distribution having an associated category identifier; and training a classification model to classify travel direction distributions based upon the training set. 13. The method of claim 12, wherein the category identifier is indicative of each distribution of travel directions being one of a 1-way road, a 2-way road, a junction and clutter. 14. The method of claim 12, comprising training a second classification model to identify possible discrepancies in digital map data based upon the category of each candidate location and an association of each candidate location with proximate candidate locations. 15. The method of claim 12, comprising using the classification model in the method of claim 1 to allocate each of the candidate locations to the one or more predetermined categories. 16. A non-transitory computer-readable medium comprising computer software which, when executed by a computer, is arranged to cause the computer to perform the method of claim 1. 17. A non-transitory computer-readable medium comprising computer software which, when executed by a computer, is arranged to cause the computer to perform the method of claim 12. | 2,100 |
4,809 | 13,288,785 | 2,135 | A storage device uses non-volatile memory devices for caching. The storage device operates in a mode referred to herein as write-back mode. In write-back mode, a storage device responds to a request to write data by persistently writing the data to a cache in a non-volatile memory device and acknowledges to the requestor that the data is written persistently in the storage device. The acknowledgement is sent without necessarily having written the data that was requested to be written to primary storage. Instead, the data is written to primary storage later. | 1. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; storing, to a persistent cache device of said one or more persistent cache devices, said data block as a cache copy of the data block version stored in said one or more primary storage devices; in response to storing said data block to said persistent cache device, transmitting an acknowledgement to the storage device client to acknowledge commitment of the write of said data block; and after transmitting said acknowledgment, said storage device storing said data block to said one or more primary storage devices. 2. The method of claim 1, the steps further including:
after said storing said data block as a cache copy and prior to transmitting said acknowledgement, updating persistent cache metadata stored in said one or more persistent cache devices to:
map a cache block address for said data block to a primary block address for said data block;
store in association with said cache copy a dirty flag to specify that said cache copy is dirty;
store in association with said cache copy a block check value computed from the contents of said cache copy. 3. The method of claim 2, the steps further including:
after transmitting said acknowledgment and before storing said data block to said one or more primary storage device, said storage device receiving from a storage device client a another data block write request to write said data block to said storage device, said request specifying data block content for said data block; overwriting said cache copy with said data block content; in response to overwriting said cache copy, transmitting another acknowledgement to the storage device client to acknowledge commitment of said data block; and wherein transmitting said another acknowledgement is performed without updating said persistent cache metadata to reflect the overwriting of said cache copy. 4. The method of claim 1, wherein said one or more persistent cache devices are flash memory devices and said one or more primary storage devices are disk drive devices. 5. The method of claim 1, the steps further including:
while said storage device operates in write-back mode, monitoring the write operation load of said one or more primary storage devices; and based on said write operation load, determining to transition from write-back mode to write through mode. 6. The method of claim 1, the steps further including:
said storage device receiving from storage device clients a plurality data block write requests to write a respective data block to said storage device, each particular data block write request of said plurality of block write requests requesting to write a different data block; for each particular data block write request of said plurality of block write requests, storing, to said persistent cache device of said one or more persistent cache devices, the respective data block as a cache copy of the respective data block version stored in said one or more primary storage devices; performing one write to a data block storing persistent cache metadata to update said persistent cache metadata to reflect the respective data block writes for all of the plurality of data block write requests; only after performing said one write to a data block storing said persistent cache metadata, for each particular data block write request of said plurality of block write requests, transmitting an acknowledgement to the respective storage device client to acknowledge commitment of the respective data block. 7. The method of claim 1, further comprising steps of:
said storage device receiving from a storage device client a data block request to read another data block stored in said one or more primary storage devices; storing, to a persistent cache device of said one or more persistent cache devices, said other data block as a cache copy of the other data block; and updating persistent cache metadata stored in said one or more persistent cache devices to:
map a cache block address for said data block to a primary block address for said data block; and
store in association with said cache copy a block check value computed from the contents of said cache copy. 8. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; selecting a victim cache copy stored in said one or more persistent cache devices to which to replace with said data block; wherein said persistent cache metadata:
maps the cache block address of said victim to the primary block address of the data block of which said victim is a cache copy;
contains a dirty flag that specifies that said victim is clean;
associates with said victim a block check value;
overwriting said victim in said persistent cache device with the contents of said data block; encountering a storage device failure before updating said persistent cache metadata to reflect said overwriting of said victim; and said storage device performing recovery, wherein performing recovery includes:
generating a block check value based on said content of the data block stored in place of said victim in said persistent storage device,
making a comparison between (1) the block check value generated based on the content of the data block stored in place of said victim and (2) the block check value associated with said victim by said persistent cache metadata, and
based on the comparison, detecting that the persistent cache metadata contains a false dirty flag that species that the data block stored in place of said victim is clean. 9. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; determining that a cache copy of said data block is stored in a persistent cache device of said one or more persistent cache devices; wherein said persistent cache metadata:
maps the cache block address of said cache copy to the primary block address of a data block of which said cache copy is a copy,
contains a dirty flag that specifies that said cache copy is dirty, and
associates with said victim a block check value;
overwriting said cache copy in said persistent cache device with the contents of said data block specified in said data block request; transmitting an acknowledgement to the storage device client to acknowledge commitment of the write of said data block; and said storage device performing recovery, wherein performing recovery includes determining that the overwritten version of said cache copy is dirty based on said dirty flag. | A storage device uses non-volatile memory devices for caching. The storage device operates in a mode referred to herein as write-back mode. In write-back mode, a storage device responds to a request to write data by persistently writing the data to a cache in a non-volatile memory device and acknowledges to the requestor that the data is written persistently in the storage device. The acknowledgement is sent without necessarily having written the data that was requested to be written to primary storage. Instead, the data is written to primary storage later.1. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; storing, to a persistent cache device of said one or more persistent cache devices, said data block as a cache copy of the data block version stored in said one or more primary storage devices; in response to storing said data block to said persistent cache device, transmitting an acknowledgement to the storage device client to acknowledge commitment of the write of said data block; and after transmitting said acknowledgment, said storage device storing said data block to said one or more primary storage devices. 2. The method of claim 1, the steps further including:
after said storing said data block as a cache copy and prior to transmitting said acknowledgement, updating persistent cache metadata stored in said one or more persistent cache devices to:
map a cache block address for said data block to a primary block address for said data block;
store in association with said cache copy a dirty flag to specify that said cache copy is dirty;
store in association with said cache copy a block check value computed from the contents of said cache copy. 3. The method of claim 2, the steps further including:
after transmitting said acknowledgment and before storing said data block to said one or more primary storage device, said storage device receiving from a storage device client a another data block write request to write said data block to said storage device, said request specifying data block content for said data block; overwriting said cache copy with said data block content; in response to overwriting said cache copy, transmitting another acknowledgement to the storage device client to acknowledge commitment of said data block; and wherein transmitting said another acknowledgement is performed without updating said persistent cache metadata to reflect the overwriting of said cache copy. 4. The method of claim 1, wherein said one or more persistent cache devices are flash memory devices and said one or more primary storage devices are disk drive devices. 5. The method of claim 1, the steps further including:
while said storage device operates in write-back mode, monitoring the write operation load of said one or more primary storage devices; and based on said write operation load, determining to transition from write-back mode to write through mode. 6. The method of claim 1, the steps further including:
said storage device receiving from storage device clients a plurality data block write requests to write a respective data block to said storage device, each particular data block write request of said plurality of block write requests requesting to write a different data block; for each particular data block write request of said plurality of block write requests, storing, to said persistent cache device of said one or more persistent cache devices, the respective data block as a cache copy of the respective data block version stored in said one or more primary storage devices; performing one write to a data block storing persistent cache metadata to update said persistent cache metadata to reflect the respective data block writes for all of the plurality of data block write requests; only after performing said one write to a data block storing said persistent cache metadata, for each particular data block write request of said plurality of block write requests, transmitting an acknowledgement to the respective storage device client to acknowledge commitment of the respective data block. 7. The method of claim 1, further comprising steps of:
said storage device receiving from a storage device client a data block request to read another data block stored in said one or more primary storage devices; storing, to a persistent cache device of said one or more persistent cache devices, said other data block as a cache copy of the other data block; and updating persistent cache metadata stored in said one or more persistent cache devices to:
map a cache block address for said data block to a primary block address for said data block; and
store in association with said cache copy a block check value computed from the contents of said cache copy. 8. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; selecting a victim cache copy stored in said one or more persistent cache devices to which to replace with said data block; wherein said persistent cache metadata:
maps the cache block address of said victim to the primary block address of the data block of which said victim is a cache copy;
contains a dirty flag that specifies that said victim is clean;
associates with said victim a block check value;
overwriting said victim in said persistent cache device with the contents of said data block; encountering a storage device failure before updating said persistent cache metadata to reflect said overwriting of said victim; and said storage device performing recovery, wherein performing recovery includes:
generating a block check value based on said content of the data block stored in place of said victim in said persistent storage device,
making a comparison between (1) the block check value generated based on the content of the data block stored in place of said victim and (2) the block check value associated with said victim by said persistent cache metadata, and
based on the comparison, detecting that the persistent cache metadata contains a false dirty flag that species that the data block stored in place of said victim is clean. 9. A method, comprising steps of:
a storage device receiving from a storage device client a data block write request to write a data block to said storage device; wherein said storage device comprises one or more primary storage devices and one or more persistent cache devices; determining that a cache copy of said data block is stored in a persistent cache device of said one or more persistent cache devices; wherein said persistent cache metadata:
maps the cache block address of said cache copy to the primary block address of a data block of which said cache copy is a copy,
contains a dirty flag that specifies that said cache copy is dirty, and
associates with said victim a block check value;
overwriting said cache copy in said persistent cache device with the contents of said data block specified in said data block request; transmitting an acknowledgement to the storage device client to acknowledge commitment of the write of said data block; and said storage device performing recovery, wherein performing recovery includes determining that the overwritten version of said cache copy is dirty based on said dirty flag. | 2,100 |
4,810 | 14,833,014 | 2,143 | The present disclosure relates to user interfaces for receiving user input. In some examples, a device determines which user input technique a user has accessed most recently, and displays the corresponding user interface. In some examples, a device scrolls through a set of information on the display. When a threshold criteria is satisfied, the device displays an index object fully or partially overlaying the set of information. In some examples, a device displays an emoji graphical object, which is visually manipulated based on user input. The emoji graphical object is transmitted to a recipient. In some examples, a device displays paging affordances that enlarge and allow a user to select a particular page of a user interface. In some examples, the device displays user interfaces for various input methods, including multiple emoji graphical objects. In some examples, a keyboard is displays for receiving user input. | 1. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device with a display, cause the device to:
receive a user input; in response to receiving the user input:
identify a most recently accessed user input technique of a set of user input techniques;
identify a least recently accessed user input technique of the set of user input techniques;
display, on the display, a user input interface of the most recently accessed user input technique; and
display, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. 2. The non-transitory computer-readable storage medium of claim 1, wherein the user input interface of the most recently accessed user input technique comprises a selection affordance associated with the most recently accessed user input technique. 3. The non-transitory computer-readable storage medium of claim 1, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
in response to receiving the user input:
identify a second-most recently accessed user input technique of the set of user input techniques; and
display, on the display, a second affordance associated with a user input interface of the second-most recently accessed user input technique. 4. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are different techniques of the set of user input techniques. 5. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are selected from the group comprising a recent contacts functionality, an all contacts functionality, and a dictation functionality. 6. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are selected from the group comprising a suggested replies functionality, an emoji functionality, and a dictation functionality. 7. The non-transitory computer-readable storage medium of claim 1, wherein the set of user input techniques is a closed set of predetermined input techniques. 8. The non-transitory computer-readable storage medium of claim 1, wherein a quantity of user input techniques of the set of user input techniques is predetermined. 9. The non-transitory computer-readable storage medium of claim 1, wherein the first affordance provides an indication of the least recently accessed user input technique. 10. The non-transitory computer-readable storage medium of claim 3, wherein the second affordance provides an indication of the second-most recently accessed user input technique. 11. The non-transitory computer-readable storage medium of claim 3, wherein the first affordance, the second affordance, and the user input interface of the most recently accessed user input technique are concurrently displayed. 12. The non-transitory computer-readable storage medium of claim 1, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
receive user input associated with the first affordance associated with the user input interface of the least recently accessed user input technique; and in response to receiving user input associated with the first affordance, replace display of the user input interface of the most recently accessed user input technique with display of the user input interface of the least recently accessed user input technique. 13. The non-transitory computer-readable storage medium of claim 3, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
receive user input associated with the first affordance associated with the user input interface of the least recently accessed user input technique; and in response to receiving user input associated with the first affordance:
replace display of the user input interface of the most recently accessed user input technique with display of the user input interface of the least recently accessed user input technique;
replace display of the first affordance associated with the user input interface of the least recently accessed user input technique with display of a third affordance associated with the user input interface of the most recently accessed user input technique; and
replace display of the second affordance associated with the user input interface of the second-most recently accessed user input technique with display of a fourth affordance associated with the user input interface of the most recently accessed user input technique. 14. A method, comprising:
at an electronic device with a display:
receiving a user input;
in response to receiving the user input:
identifying a most recently accessed user input technique of a set of user input techniques;
identifying a least recently accessed user input technique of the set of user input techniques;
displaying, on the display, a user input interface of the most recently accessed user input technique; and
displaying, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. 15. An electronic device, comprising:
a display; one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
receiving a user input;
in response to receiving the user input:
identifying a most recently accessed user input technique of a set of user input techniques;
identifying a least recently accessed user input technique of the set of user input techniques;
displaying, on the display, a user input interface of the most recently accessed user input technique; and
displaying, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. | The present disclosure relates to user interfaces for receiving user input. In some examples, a device determines which user input technique a user has accessed most recently, and displays the corresponding user interface. In some examples, a device scrolls through a set of information on the display. When a threshold criteria is satisfied, the device displays an index object fully or partially overlaying the set of information. In some examples, a device displays an emoji graphical object, which is visually manipulated based on user input. The emoji graphical object is transmitted to a recipient. In some examples, a device displays paging affordances that enlarge and allow a user to select a particular page of a user interface. In some examples, the device displays user interfaces for various input methods, including multiple emoji graphical objects. In some examples, a keyboard is displays for receiving user input.1. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device with a display, cause the device to:
receive a user input; in response to receiving the user input:
identify a most recently accessed user input technique of a set of user input techniques;
identify a least recently accessed user input technique of the set of user input techniques;
display, on the display, a user input interface of the most recently accessed user input technique; and
display, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. 2. The non-transitory computer-readable storage medium of claim 1, wherein the user input interface of the most recently accessed user input technique comprises a selection affordance associated with the most recently accessed user input technique. 3. The non-transitory computer-readable storage medium of claim 1, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
in response to receiving the user input:
identify a second-most recently accessed user input technique of the set of user input techniques; and
display, on the display, a second affordance associated with a user input interface of the second-most recently accessed user input technique. 4. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are different techniques of the set of user input techniques. 5. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are selected from the group comprising a recent contacts functionality, an all contacts functionality, and a dictation functionality. 6. The non-transitory computer-readable storage medium of claim 3, wherein the most recently accessed user input technique, the least recently accessed user input technique, and the second-most recently accessed user input technique are selected from the group comprising a suggested replies functionality, an emoji functionality, and a dictation functionality. 7. The non-transitory computer-readable storage medium of claim 1, wherein the set of user input techniques is a closed set of predetermined input techniques. 8. The non-transitory computer-readable storage medium of claim 1, wherein a quantity of user input techniques of the set of user input techniques is predetermined. 9. The non-transitory computer-readable storage medium of claim 1, wherein the first affordance provides an indication of the least recently accessed user input technique. 10. The non-transitory computer-readable storage medium of claim 3, wherein the second affordance provides an indication of the second-most recently accessed user input technique. 11. The non-transitory computer-readable storage medium of claim 3, wherein the first affordance, the second affordance, and the user input interface of the most recently accessed user input technique are concurrently displayed. 12. The non-transitory computer-readable storage medium of claim 1, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
receive user input associated with the first affordance associated with the user input interface of the least recently accessed user input technique; and in response to receiving user input associated with the first affordance, replace display of the user input interface of the most recently accessed user input technique with display of the user input interface of the least recently accessed user input technique. 13. The non-transitory computer-readable storage medium of claim 3, wherein the non-transitory computer-readable storage medium further comprises instructions, which when executed by the one or more processors of the electronic device, cause the device to:
receive user input associated with the first affordance associated with the user input interface of the least recently accessed user input technique; and in response to receiving user input associated with the first affordance:
replace display of the user input interface of the most recently accessed user input technique with display of the user input interface of the least recently accessed user input technique;
replace display of the first affordance associated with the user input interface of the least recently accessed user input technique with display of a third affordance associated with the user input interface of the most recently accessed user input technique; and
replace display of the second affordance associated with the user input interface of the second-most recently accessed user input technique with display of a fourth affordance associated with the user input interface of the most recently accessed user input technique. 14. A method, comprising:
at an electronic device with a display:
receiving a user input;
in response to receiving the user input:
identifying a most recently accessed user input technique of a set of user input techniques;
identifying a least recently accessed user input technique of the set of user input techniques;
displaying, on the display, a user input interface of the most recently accessed user input technique; and
displaying, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. 15. An electronic device, comprising:
a display; one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
receiving a user input;
in response to receiving the user input:
identifying a most recently accessed user input technique of a set of user input techniques;
identifying a least recently accessed user input technique of the set of user input techniques;
displaying, on the display, a user input interface of the most recently accessed user input technique; and
displaying, on the display, a first affordance associated with a user input interface of the least recently accessed user input technique. | 2,100 |
4,811 | 12,566,917 | 2,166 | A system and method to generically handle validity dependent data sets. A set of dimensions applicable to the data set is defined. At least one dimension is associated with a validity independent structure of the data set and at least one other dimension is associated with a validity constraint effective for the data set. The data set is retrieved with its associated dimensions. A model of the data set is created using the associated dimensions. The model provides access to the data in a manner that permits it to be viewed and manipulated to respond to requests of a consuming application. | 1. A method comprising:
defining a set of dimensions for a validity dependent data set; associating at least a first dimension, belonging to the set of dimensions, with a validity independent structure of the data set; associating at least a second dimension, belonging to the set of dimensions and being different from the first dimension, with one or more validity constraints effective for the data set; retrieving, in a processor, the validity dependent data set and its association with the set of dimensions; generating, in the processor, a plural dimensional model of the retrieved data; and responding, from the processor, to a request of a consuming application with information derived from the plural dimensional model. 2. The method of claim 1, wherein an aspect represents a unique list of data fields and wherein the validity independent structure of the data set comprises at least one of:
objects of one or multiple aspects; relations between objects of one or multiple aspects; components of one or multiple aspects, a component containing objects and relations; or features of one or multiple aspects, a feature being a subordinate characteristic to an object, a relation, a component or another feature. 3. The method of claim 1 wherein associating the first dimension comprises:
defining a first index for a validity independent existence of an object and assigning the first index uniquely to the first dimension; and
defining a first link for a validity independent existence of a relation between objects; and
wherein associating the second dimension comprises:
defining a second index for a bound of a validity constraint effective for at least a part of the data set and assigning the second index uniquely to the second dimension; and
defining a second link for an order between two validity indices of the second dimension. 4. The method of claim 1 wherein associating the first and the second dimension comprise:
at least one of mapping a state of an object to a first index representing the object or mapping a state of a relation to a first link representing the relation; and
mapping a state of an object or a relation to a second index which represents a bound of a validity constraint effective for the state. 5. The method of claim 1 wherein generating comprises:
creating an element for each dimension, each index and for at least one of each object state or each relation state. 6. The method of claim 5 wherein the data set is hierarchical further comprising:
enabling navigation between elements of the model to permit the processor to directly or indirectly access all elements. 7. The method of claim 5 wherein the data set is hierarchical and wherein responding comprises:
substituting at least one of:
a component by all objects and relations contained by it;
a dimension by all indices assigned to it;
an index by all states mapped to it;
a link by all states mapped to it; and
a relation state involving at least one object by derived relation states at least resulting from substituting the object by all its object states. 8. The method of claim 1 wherein responding comprises:
returning one or more elements of the model satisfying a set of constraints specified in the request. 9. The method of claim 8 wherein returning comprises:
considering a first element from the model not satisfying the set of constraints;
substituting one or more other elements for the first element to yield a set of elements satisfying the set of constraints. 10. The method of claim 7 further comprising:
limiting the substituting based on one or more constraints in the request. 11. A system comprising:
a consuming application; a database containing a validity dependent data set; and a processor to retrieve the data set, associate at least a first dimension with a validity independent structure of the data set and at least a second dimension with a validity constraint of the data set, generate a plural dimensional model of the data set, and to respond to requests from the consuming application with data derived from the model and satisfying a set of constraints supplied by the consuming application. 12. The system of claim 11 wherein the processor comprises:
a consumption interface;
a modeler; and
a retrieval interface. 13. The system of claim 12 wherein the modeler comprises:
a navigation module to permit the processor to access all elements of the model; and
a substitution module to permit substitution of:
a component by all objects and relations contained by it;
a dimension by all indices assigned to it;
an index by all states mapped to it;
a link by all states mapped to it; and
a relation state involving at least one object by derived relation states at least resulting from substituting the object by all its object states. 14. A computer readable medium having instructions stored thereon that when executed by a processor cause the processor to:
retrieve a validity dependent data set; associate the data set with a set of dimensions, at least a first dimension with a validity independent structure of the data set, and at least a second dimension with a validity constraint of the data set; and respond to requests of a consuming application with information derived from the data set retrieved. 15. The computer readable medium of claim 14 wherein the instructions further cause the processor to:
at least one of map a state of an object to the index representing the object or map a state of a relation to the link representing the relation;
and
map a state of an object or a relation to an index which represents a bound of a validity constraint effective for the state. 16. The computer readable medium of claim 14 wherein the instructions causing the processor to respond cause the processor to:
consider a first element from the model not satisfying a set of constraints specified in a request; and
substitute one or more other elements for the first element to yield a set of elements satisfying the set of constraints. | A system and method to generically handle validity dependent data sets. A set of dimensions applicable to the data set is defined. At least one dimension is associated with a validity independent structure of the data set and at least one other dimension is associated with a validity constraint effective for the data set. The data set is retrieved with its associated dimensions. A model of the data set is created using the associated dimensions. The model provides access to the data in a manner that permits it to be viewed and manipulated to respond to requests of a consuming application.1. A method comprising:
defining a set of dimensions for a validity dependent data set; associating at least a first dimension, belonging to the set of dimensions, with a validity independent structure of the data set; associating at least a second dimension, belonging to the set of dimensions and being different from the first dimension, with one or more validity constraints effective for the data set; retrieving, in a processor, the validity dependent data set and its association with the set of dimensions; generating, in the processor, a plural dimensional model of the retrieved data; and responding, from the processor, to a request of a consuming application with information derived from the plural dimensional model. 2. The method of claim 1, wherein an aspect represents a unique list of data fields and wherein the validity independent structure of the data set comprises at least one of:
objects of one or multiple aspects; relations between objects of one or multiple aspects; components of one or multiple aspects, a component containing objects and relations; or features of one or multiple aspects, a feature being a subordinate characteristic to an object, a relation, a component or another feature. 3. The method of claim 1 wherein associating the first dimension comprises:
defining a first index for a validity independent existence of an object and assigning the first index uniquely to the first dimension; and
defining a first link for a validity independent existence of a relation between objects; and
wherein associating the second dimension comprises:
defining a second index for a bound of a validity constraint effective for at least a part of the data set and assigning the second index uniquely to the second dimension; and
defining a second link for an order between two validity indices of the second dimension. 4. The method of claim 1 wherein associating the first and the second dimension comprise:
at least one of mapping a state of an object to a first index representing the object or mapping a state of a relation to a first link representing the relation; and
mapping a state of an object or a relation to a second index which represents a bound of a validity constraint effective for the state. 5. The method of claim 1 wherein generating comprises:
creating an element for each dimension, each index and for at least one of each object state or each relation state. 6. The method of claim 5 wherein the data set is hierarchical further comprising:
enabling navigation between elements of the model to permit the processor to directly or indirectly access all elements. 7. The method of claim 5 wherein the data set is hierarchical and wherein responding comprises:
substituting at least one of:
a component by all objects and relations contained by it;
a dimension by all indices assigned to it;
an index by all states mapped to it;
a link by all states mapped to it; and
a relation state involving at least one object by derived relation states at least resulting from substituting the object by all its object states. 8. The method of claim 1 wherein responding comprises:
returning one or more elements of the model satisfying a set of constraints specified in the request. 9. The method of claim 8 wherein returning comprises:
considering a first element from the model not satisfying the set of constraints;
substituting one or more other elements for the first element to yield a set of elements satisfying the set of constraints. 10. The method of claim 7 further comprising:
limiting the substituting based on one or more constraints in the request. 11. A system comprising:
a consuming application; a database containing a validity dependent data set; and a processor to retrieve the data set, associate at least a first dimension with a validity independent structure of the data set and at least a second dimension with a validity constraint of the data set, generate a plural dimensional model of the data set, and to respond to requests from the consuming application with data derived from the model and satisfying a set of constraints supplied by the consuming application. 12. The system of claim 11 wherein the processor comprises:
a consumption interface;
a modeler; and
a retrieval interface. 13. The system of claim 12 wherein the modeler comprises:
a navigation module to permit the processor to access all elements of the model; and
a substitution module to permit substitution of:
a component by all objects and relations contained by it;
a dimension by all indices assigned to it;
an index by all states mapped to it;
a link by all states mapped to it; and
a relation state involving at least one object by derived relation states at least resulting from substituting the object by all its object states. 14. A computer readable medium having instructions stored thereon that when executed by a processor cause the processor to:
retrieve a validity dependent data set; associate the data set with a set of dimensions, at least a first dimension with a validity independent structure of the data set, and at least a second dimension with a validity constraint of the data set; and respond to requests of a consuming application with information derived from the data set retrieved. 15. The computer readable medium of claim 14 wherein the instructions further cause the processor to:
at least one of map a state of an object to the index representing the object or map a state of a relation to the link representing the relation;
and
map a state of an object or a relation to an index which represents a bound of a validity constraint effective for the state. 16. The computer readable medium of claim 14 wherein the instructions causing the processor to respond cause the processor to:
consider a first element from the model not satisfying a set of constraints specified in a request; and
substitute one or more other elements for the first element to yield a set of elements satisfying the set of constraints. | 2,100 |
4,812 | 12,590,895 | 2,178 | The present invention provides a method and system that automatically or semi-automatically analyzes documents and redacts key elements of importance to potential purchasers of the document. The present invention serves the dual purpose of presenting potential purchasers, or others, with versions of the document that more fully reflect the particular information contained in the document while not disclosing the critical key data points that are of most importance to the purchaser. Upon reviewing a redacted version of the subject document, the viewer may elect to purchase or otherwise obtain the original document or report with information un-redacted. Alternatively, the invention enables viewers to selectively purchase, or otherwise obtain, portions of the document in an a la carte fashion. For instance, instead of purchasing the entirety of the report, a viewer may be provided with the option of paying a lesser amount, or applying a reduced quantity of allocation or credit, to view only a portion of the redacted information. The invention provides a Graphical User Interface (GUI) to effect the selective election of information, such as recommendations, ratings, market share, graphical representations, tables, etc. | 1. A computer-implemented method comprising:
(a) associating an original electronic document with an offering; (b) identifying a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document; (c) generating a redacted version of the original document by redacting the set of content type information from the original electronic document; (d) receiving a request for a set of information related to the original document and identifying a set of responsive information; and (e) in response to the request, transmitting the redacted version of the original document. 2. The method of claim 1 wherein the generating step further comprises one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 3. The method of claim 1 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 4. The method of claim 1 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 5. The method of claim 1 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 6. The method of claim 1 wherein the transmitting step further comprises transmitting a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 7. The method of claim 1 wherein the generating step further comprises automatically presenting for manual selection at least some of the content type information and receiving a set of responses representing selections from among the at least some of the content type information for redaction. 8. The method of claim 7 wherein the generating step further comprises a set of selections comprising accept, reject, change or add to the presented manual selection. 9. The method of claim 1 further comprising:
(a) after transmitting the redacted version of the original document receiving a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmitting the second set of responsive information. 10. The method of claim 9 further comprising:
(a) transmitting an offer associated with the second set of information; and
(b) receiving acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 11. The method of claim 1 wherein a graphical user interface is used in the generating and transmitting steps. 12. The method of claim 1 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. 13. An article comprising a machine-readable medium, the medium having stored thereon instructions to be executed by a machine to perform operations, the article comprising instructions adapted to:
(a) associate an original electronic document with an offering; (b) identify a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document; (c) generate a redacted version of the original document by redacting the set of content type information from the original electronic document; (d) receive a request for a set of information related to the original document and identifying a set of responsive information; and (e) in response to the request, transmit the redacted version of the original document. 14. The article of claim 13 wherein the instructions adapted to generate a redacted version of the original document comprises instructions adapted to perform one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 15. The article of claim 13 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 16. The article of claim 13 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 17. The article of claim 13 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 18. The article of claim 13 further comprising instructions adapted to transmit a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 19. The article of claim 13 wherein the instructions further comprise automatically presenting for manual selection at least some of the content type information and receiving a set of responses representing selections from among the at least some of the content type information for redaction. 20. The article of claim 19 wherein the instructions further comprise a set of selections comprising accept, reject, change or add to the presented manual selection. 21. The article of claim 13 further comprising:
(a) after transmitting the redacted version of the original document receiving a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmitting the second set of responsive information. 22. The article of claim 21 further comprising:
(a) transmitting an offer associated with the second set of information; and
(b) receiving acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 23. The article of claim 13 further comprises instructions related to implementing a graphical user interface. 24. The article of claim 13 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. 25. A computer-based system comprising memory and a processor for executing instructions to perform operations, the system comprising:
input adapted to receive an original electronic document associated with an offering; a redaction module adapted to identify a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document and to generate a redacted version of the original document by redacting the set of content type information from the original electronic document; input adapted to receive a request for a set of information related to the original document and identifying a set of responsive information; and output adapted to transmit, in response to the request, the redacted version of the original document. 26. The system of claim 25 wherein the redaction module comprises code adapted to perform redaction including one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 27. The system of claim 25 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 28. The system of claim 25 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 29. The system of claim 25 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 30. The system of claim 25 further comprising code adapted to transmit a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 31. The system of claim 25 wherein the redaction module further comprises code adapted to automatically present for manual selection at least some of the content type information and to receive a set of responses representing selections from among the at least some of the content type information for redaction. 32. The system of claim 31 wherein the redaction module further comprises code adapted to present a set of selections comprising accept, reject, change or add to the presented manual selection. 33. The system of claim 25 further comprising code adapted to:
(a) receive a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmit the second set of responsive information. 34. The system of claim 33 further comprising code adapted to:
(a) transmit an offer associated with the second set of information; and
(b) receive acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 35. The system of claim 25 wherein the output transmits the offer and the request for a set of information is in response to the transmitted offer, the redacted version of the original document being associated with the offer. 36. The system of claim 25 further comprising a graphical user interface. 37. The system of claim 25 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. | The present invention provides a method and system that automatically or semi-automatically analyzes documents and redacts key elements of importance to potential purchasers of the document. The present invention serves the dual purpose of presenting potential purchasers, or others, with versions of the document that more fully reflect the particular information contained in the document while not disclosing the critical key data points that are of most importance to the purchaser. Upon reviewing a redacted version of the subject document, the viewer may elect to purchase or otherwise obtain the original document or report with information un-redacted. Alternatively, the invention enables viewers to selectively purchase, or otherwise obtain, portions of the document in an a la carte fashion. For instance, instead of purchasing the entirety of the report, a viewer may be provided with the option of paying a lesser amount, or applying a reduced quantity of allocation or credit, to view only a portion of the redacted information. The invention provides a Graphical User Interface (GUI) to effect the selective election of information, such as recommendations, ratings, market share, graphical representations, tables, etc.1. A computer-implemented method comprising:
(a) associating an original electronic document with an offering; (b) identifying a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document; (c) generating a redacted version of the original document by redacting the set of content type information from the original electronic document; (d) receiving a request for a set of information related to the original document and identifying a set of responsive information; and (e) in response to the request, transmitting the redacted version of the original document. 2. The method of claim 1 wherein the generating step further comprises one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 3. The method of claim 1 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 4. The method of claim 1 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 5. The method of claim 1 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 6. The method of claim 1 wherein the transmitting step further comprises transmitting a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 7. The method of claim 1 wherein the generating step further comprises automatically presenting for manual selection at least some of the content type information and receiving a set of responses representing selections from among the at least some of the content type information for redaction. 8. The method of claim 7 wherein the generating step further comprises a set of selections comprising accept, reject, change or add to the presented manual selection. 9. The method of claim 1 further comprising:
(a) after transmitting the redacted version of the original document receiving a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmitting the second set of responsive information. 10. The method of claim 9 further comprising:
(a) transmitting an offer associated with the second set of information; and
(b) receiving acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 11. The method of claim 1 wherein a graphical user interface is used in the generating and transmitting steps. 12. The method of claim 1 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. 13. An article comprising a machine-readable medium, the medium having stored thereon instructions to be executed by a machine to perform operations, the article comprising instructions adapted to:
(a) associate an original electronic document with an offering; (b) identify a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document; (c) generate a redacted version of the original document by redacting the set of content type information from the original electronic document; (d) receive a request for a set of information related to the original document and identifying a set of responsive information; and (e) in response to the request, transmit the redacted version of the original document. 14. The article of claim 13 wherein the instructions adapted to generate a redacted version of the original document comprises instructions adapted to perform one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 15. The article of claim 13 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 16. The article of claim 13 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 17. The article of claim 13 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 18. The article of claim 13 further comprising instructions adapted to transmit a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 19. The article of claim 13 wherein the instructions further comprise automatically presenting for manual selection at least some of the content type information and receiving a set of responses representing selections from among the at least some of the content type information for redaction. 20. The article of claim 19 wherein the instructions further comprise a set of selections comprising accept, reject, change or add to the presented manual selection. 21. The article of claim 13 further comprising:
(a) after transmitting the redacted version of the original document receiving a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmitting the second set of responsive information. 22. The article of claim 21 further comprising:
(a) transmitting an offer associated with the second set of information; and
(b) receiving acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 23. The article of claim 13 further comprises instructions related to implementing a graphical user interface. 24. The article of claim 13 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. 25. A computer-based system comprising memory and a processor for executing instructions to perform operations, the system comprising:
input adapted to receive an original electronic document associated with an offering; a redaction module adapted to identify a set of content type information to redact from the original document, the set of content type information being identified for redaction based at least in part on criteria other than location of the content type information within the original electronic document and to generate a redacted version of the original document by redacting the set of content type information from the original electronic document; input adapted to receive a request for a set of information related to the original document and identifying a set of responsive information; and output adapted to transmit, in response to the request, the redacted version of the original document. 26. The system of claim 25 wherein the redaction module comprises code adapted to perform redaction including one or more of the group consisting of: removing the set of content type information; blackening the set of content type information; obscuring the set of content type information; deleting the set of content type information; distorting the set of content type information; and replacing the set of content type information with unintelligible information. 27. The system of claim 25 wherein the set of content type information comprises one or more of the group consisting of: text; words; numbers; letters; formulas; equations; graphical representations; table data; identities; identifiers; percentages; names; dates; recommendations; analysis; and quotes. 28. The system of claim 25 wherein the set of content type information comprises one or more of the group consisting of: a financial number; a recommendation; a rating; a set of financial phrases; a currency amount; a company name; market related information; graphical representations; table related information; formula related information; nouns; verb phrases; adjectives; facts; events; technical findings; and research findings. 29. The system of claim 25 wherein the offering is one of a group consisting of: an offer to purchase; an offer to utilize an existing account; an offer to utilize an existing credit; an offer to utilize an existing allocation; a marketing program; a charitable offering; and an education related offering. 30. The system of claim 25 further comprising code adapted to transmit a set of offers comprising offers respectively associated with at least one portion of the set of content type information redacted from the original document, whereby less than all of the set of content type information redacted from the original document may be un-redacted. 31. The system of claim 25 wherein the redaction module further comprises code adapted to automatically present for manual selection at least some of the content type information and to receive a set of responses representing selections from among the at least some of the content type information for redaction. 32. The system of claim 31 wherein the redaction module further comprises code adapted to present a set of selections comprising accept, reject, change or add to the presented manual selection. 33. The system of claim 25 further comprising code adapted to:
(a) receive a second request indicating a desire to receive a second set of responsive information, the second set of responsive information comprising at least a portion of the set of responsive information; and
(b) transmit the second set of responsive information. 34. The system of claim 33 further comprising code adapted to:
(a) transmit an offer associated with the second set of information; and
(b) receive acceptance of the offer prior to transmitting the second set of information, whereby at least part of the set of content type information redacted from the original electronic document is revealed. 35. The system of claim 25 wherein the output transmits the offer and the request for a set of information is in response to the transmitted offer, the redacted version of the original document being associated with the offer. 36. The system of claim 25 further comprising a graphical user interface. 37. The system of claim 25 wherein the redacted version of the original electronic document is generated so as to include essentially the same layout of the original electronic document. | 2,100 |
4,813 | 14,337,798 | 2,128 | Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance probing of hydrocarbon reservoir simulation models. Embodiments can utilize an application programming interface (API) to interrogate one or more different hydrocarbon reservoir simulation response surface model proxies (surface model proxies) associated with hydrocarbon reservoir simulation models. The API (a proxy API) can be configured to include preselected operations, and surface model proxies can be in a common image format. Surface model proxies can be interpreted to retrieve simulation data associated with the surface model proxies responsive to operations of the proxy API. Results of operations of the proxy API can also be displayed to probe a hydrocarbon reservoir simulation model associated with a surface model proxy and to thereby estimate probabilities of simulation outcome for potential simulation scenarios yet to be run. | 1. A system to enhance probing of hydrocarbon reservoir simulation models, the system comprising:
one or more processors; one or more databases in communication with the one or more processors and having data associated with one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies stored therein, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models; one or more input and output units in communication with the one or more processors and positioned to receive input and output communication; a display in communication with the one or more processors and configured to display an electronic user interface thereon; and non-transitory memory medium in communication with one or more of the one or more processors, the memory medium having computer-readable instructions stored therein that when executed cause the one or more processors to perform the steps of:
initiating a proxy application programming interface (API), responsive to user request through the one or more input and output units, to thereby interrogate one or more of the surface model proxies from the one or more databases, the proxy API configured to include a plurality of different preselected operations,
interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API, and
displaying, through the electronic user interface on the display, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 2. A system as defined in claim 1, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies on the electronic user interface by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 3. A system as defined in claim 2, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 4. A system as defined in claim 3, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon field development plans. 5. A system as defined in claim 4, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 6. A system as defined in claim 1, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 7. A system as defined in claim 1, wherein the proxy API relates to a system environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 8. A system as defined in claim 1, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. 9. A computer-implemented method to enhance probing of hydrocarbon reservoir simulation models, the method comprising:
initiating a proxy application programming interface (API) to thereby interrogate one or more of one or more different hydrocarbon reservoir simulation response surface model proxies, the one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models, the proxy API configured to include a plurality of different preselected operations; interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API; and displaying, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 10. A computer-implemented method as defined in claim 9, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 11. A computer-implemented method as defined in claim 10, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 12. A computer-implemented method as defined in claim 11, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon field development plans. 13. A computer-implemented method as defined in claim 12, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 14. A computer-implemented method as defined in claim 9, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 15. A computer-implemented method as defined in claim 9, wherein the proxy API relates to an environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 16. A computer-implemented method as defined in claim 9, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. 17. Non-transitory computer-readable medium having one or more computer programs stored therein operable by one or more processors to enhance probing of hydrocarbon reservoir simulation models, the one or more computer programs comprising a set of instructions that, when executed by the one or more processors, cause the one or more processors to perform the operations of:
initiating a proxy application programming interface (API) to thereby interrogate one or more of one or more different hydrocarbon reservoir simulation response surface model proxies, the one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models, the proxy API configured to include a plurality of different preselected operations; interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API; and displaying, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 18. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 19. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 18, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 20. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 19, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon reservoir field development plans. 21. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 20, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 22. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 23. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein the proxy API relates to an environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 24. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. | Embodiments of systems, non-transitory computer-readable medium having one or more computer programs stored therein, and computer-implemented methods are provided to enhance probing of hydrocarbon reservoir simulation models. Embodiments can utilize an application programming interface (API) to interrogate one or more different hydrocarbon reservoir simulation response surface model proxies (surface model proxies) associated with hydrocarbon reservoir simulation models. The API (a proxy API) can be configured to include preselected operations, and surface model proxies can be in a common image format. Surface model proxies can be interpreted to retrieve simulation data associated with the surface model proxies responsive to operations of the proxy API. Results of operations of the proxy API can also be displayed to probe a hydrocarbon reservoir simulation model associated with a surface model proxy and to thereby estimate probabilities of simulation outcome for potential simulation scenarios yet to be run.1. A system to enhance probing of hydrocarbon reservoir simulation models, the system comprising:
one or more processors; one or more databases in communication with the one or more processors and having data associated with one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies stored therein, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models; one or more input and output units in communication with the one or more processors and positioned to receive input and output communication; a display in communication with the one or more processors and configured to display an electronic user interface thereon; and non-transitory memory medium in communication with one or more of the one or more processors, the memory medium having computer-readable instructions stored therein that when executed cause the one or more processors to perform the steps of:
initiating a proxy application programming interface (API), responsive to user request through the one or more input and output units, to thereby interrogate one or more of the surface model proxies from the one or more databases, the proxy API configured to include a plurality of different preselected operations,
interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API, and
displaying, through the electronic user interface on the display, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 2. A system as defined in claim 1, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies on the electronic user interface by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 3. A system as defined in claim 2, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 4. A system as defined in claim 3, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon field development plans. 5. A system as defined in claim 4, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 6. A system as defined in claim 1, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 7. A system as defined in claim 1, wherein the proxy API relates to a system environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 8. A system as defined in claim 1, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. 9. A computer-implemented method to enhance probing of hydrocarbon reservoir simulation models, the method comprising:
initiating a proxy application programming interface (API) to thereby interrogate one or more of one or more different hydrocarbon reservoir simulation response surface model proxies, the one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models, the proxy API configured to include a plurality of different preselected operations; interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API; and displaying, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 10. A computer-implemented method as defined in claim 9, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 11. A computer-implemented method as defined in claim 10, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 12. A computer-implemented method as defined in claim 11, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon field development plans. 13. A computer-implemented method as defined in claim 12, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 14. A computer-implemented method as defined in claim 9, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 15. A computer-implemented method as defined in claim 9, wherein the proxy API relates to an environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 16. A computer-implemented method as defined in claim 9, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. 17. Non-transitory computer-readable medium having one or more computer programs stored therein operable by one or more processors to enhance probing of hydrocarbon reservoir simulation models, the one or more computer programs comprising a set of instructions that, when executed by the one or more processors, cause the one or more processors to perform the operations of:
initiating a proxy application programming interface (API) to thereby interrogate one or more of one or more different hydrocarbon reservoir simulation response surface model proxies, the one or more different hydrocarbon reservoir simulation response surface model proxies to thereby define surface model proxies, the surface model proxies having a common image format based on a conversion from a plurality of different simulation model technology formats to the common image format, each of the surface model proxies being associated with one of one or more hydrocarbon reservoir simulation models, the proxy API configured to include a plurality of different preselected operations; interpreting each of the one or more of the surface model proxies to thereby retrieve a simulation data set for each of the one or more of the surface model proxies responsive to each of the plurality of different preselected operations of the proxy API; and displaying, for each of the one or more of the surface model proxies, one or more results of each of the plurality of different preselected operations of the proxy API to thereby probe the associated hydrocarbon reservoir simulation models. 18. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein displaying includes selectively displaying one or more uncertainty characteristics of each of the one or more of the surface model proxies by use of the proxy API, the one or more uncertainty characteristics configured to include an S-curve related to each of the surface model proxies, and wherein each of the one or more S-curves depicts cumulative probabilities of simulation outcome data. 19. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 18, wherein each of the one or more S-curves includes a statistically most likely point and an output value of the related one of the surface model proxies for a preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies. 20. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 19, wherein one or more of the plurality of different preselected operations of the proxy API responsively enhance one or more workflows for hydrocarbon reservoir field development plans. 21. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 20, wherein one or more third-party tools implement the one or more workflows for hydrocarbon reservoir field development plans. 22. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein the plurality of different preselected operations of the proxy API include each of:
determining, responsive to a first preselected simulation objective, an output value of one or more of the surface model proxies for a first preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies to thereby query the one or more of the surface model proxies; identifying, responsive to a second preselected simulation objective, one of the hydrocarbon reservoir simulation models associated with one of the surface model proxies when the one of the surface model proxies has an output value for a second preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to output values of a preselected simulation scenario to thereby define a closest model; identifying, responsive to a third preselected simulation objective, two of the hydrocarbon reservoir simulation models each associated with one of the surface model proxies when one of the two of the surface model proxies has an output value for a third preselected set of hydrocarbon reservoir simulation run parameters with respect to the surface model proxies that is closest to the output value of another preselected simulated scenario among output values higher than the output value of the other preselected simulated scenario and when the other of the two of the surface model proxies has an output value for the third preselected set of hydrocarbon reservoir simulation run parameters that is closest to the output value of the other preselected simulated scenario among output values lower than the output value of the other preselected simulated scenario, the two hydrocarbon reservoir simulation models thereby defining close realization bracketing models; and identifying names of one or more hydrocarbon reservoir simulation run parameters with respect to the surface model proxies responsive to a fourth preselected simulation objective to thereby return the identified one or more hydrocarbon reservoir simulation run parameters. 23. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein the proxy API relates to an environment for statistical computing that includes R programming language, wherein the common image format includes R image format, and wherein interpreting each of the one or more of the surface model proxies includes translating one or more R image files associated with each of the one or more of the surface model proxies into a format readable by the proxy API to thereby retrieve predetermined data from the one or more of the surface model proxies responsive to user request. 24. Non-transitory computer-readable medium having one or more computer programs stored therein of claim 17, wherein each of the plurality of different simulation model technology formats is associated with a unique set of one or more algorithms used to create a hydrocarbon reservoir simulation response surface model proxy and with a unique technology vendor, and wherein each of the one or more of the surface model proxies is configured to simulate performance for a respective preselected period of desired time. | 2,100 |
4,814 | 13,106,751 | 2,159 | Garbage collection in a first node server of an in-memory replication system includes: in response to a garbage collection trigger in the first node server, determining whether identification information for a data object eligible for garbage collection in the first node server has been received by the first node server from at least a second node server in the in-memory replication system; and if the identification information has been received from at least the second node server, performing garbage collection on the data object with the first node server. | 1. A method of garbage collection in a first node server of an in-memory replication system, comprising:
in response to a garbage collection trigger in said first node server, determining whether identification information for a data object eligible for garbage collection in said first node server has been received by said first node server from at least a second node server in said in-memory replication system; and if said identification information has been received from at least said second node server, performing garbage collection on said data object with said first node server. 2. The method of claim 1, further comprising cancelling said identification information following said performance of garbage collection on said data objects with said first node server. 3. The method of claim 1, further comprising:
if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identifying a data object stored by said first node server that is eligible for garbage collection with said first node server; and performing garbage collection on said data object identified with said first node server. 4. The method of claim 1, further comprising:
acquiring identification information for said data object identified with said first node server; and transmitting said identification information to at least one other node server in said in-memory replication system that stores said data object. 5. The method of claim 4, further comprising searching a data object identification table stored by said at least one other node server to determine whether said at least one other node server stores said data object. 6. The method of claim 1, in which said identification information comprises a memory address for said data object. 7. The method of claim 6, in which performing garbage collection on said data object comprises releasing a memory space in said first node server corresponding to said memory address for said data object. 8. The method of claim 1, in which said identification information comprises a globally unique identifier associated with said data object. 9. The method of claim 8, further comprising:
storing a table in said first node server, said table mapping memory addresses of said first node server to globally unique identifiers of data objects stored by said first node server at said memory addresses. 10. A system for garbage collection in a first node server of an in-memory replication system, said system comprising:
a processor; and at least one memory communicatively coupled to said processor, said memory comprising executable code that, when executed by said processor, causes said processor to:
determine whether any external node server has indicated that a data object stored by said at least one memory is eligible for garbage collection; and
in response to determining that an external node server has indicated that a data object stored by said at least one memory is eligible for garbage collection, perform garbage collection on said data object. 11. The system of claim 10, said executable code causing said processor to erase said identification information of said data object following said performance of garbage collection on said data objects with said first node server. 12. The system of claim 10, said executable code causing said processor to:
if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identify data object stored by said first node server that is eligible for garbage collection with said first node server; and perform garbage collection on said data object identified with said first node server. 13. The system of claim 12, said executable code causing said processor to:
acquire identification information for said data object identified with said first node server; and transmit said identification information to at least one other node server in said in-memory replication system that stores said data object. 14. The system of claim 13, said executable code causing said processor to search a data object identification table stored by said at least one other node server to determine whether said at least one other node server stores said data object. 15. The system of claim 10, in which said identification information comprises a memory address for said data object. 16. The system of claim 15, in which performing garbage collection on said data object comprises releasing a memory space in said first node server corresponding to said memory address for said data object. 17. The system of claim 10, in which said identification information comprises a globally unique identifier associated with said data object. 18. The system of claim 17, said executable code causing said processor to:
store a table in said first node server, said table mapping memory addresses of said first node server to globally unique identifiers of data objects stored by said first node server at said memory addresses. 19. A computer program product for processing a query of a database, comprising:
a tangible computer-readable storage medium comprising computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to, in response to a garbage collection trigger in said first node server, determine whether identification information for a data object eligible for garbage collection in said first node server has been received by said first node server from at least a second node server in said in-memory replication system; and computer-readable program code configured to, if said identification information has been received from at least said second node server, perform garbage collection on said data object with said first node server. 20. The computer program product of claim 19, said computer-readable program code further comprising:
computer-readable program code configured to, if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identify data object stored by said first node server that is eligible for garbage collection with said first node server; computer-readable program code configured to perform garbage collection on said data object identified with said first node server; computer-readable program code configured to acquire identification information for said data object identified with said first node server; and computer-readable program code configured to transmit said identification information to at least one other node server in said in-memory replication system that stores said data object. | Garbage collection in a first node server of an in-memory replication system includes: in response to a garbage collection trigger in the first node server, determining whether identification information for a data object eligible for garbage collection in the first node server has been received by the first node server from at least a second node server in the in-memory replication system; and if the identification information has been received from at least the second node server, performing garbage collection on the data object with the first node server.1. A method of garbage collection in a first node server of an in-memory replication system, comprising:
in response to a garbage collection trigger in said first node server, determining whether identification information for a data object eligible for garbage collection in said first node server has been received by said first node server from at least a second node server in said in-memory replication system; and if said identification information has been received from at least said second node server, performing garbage collection on said data object with said first node server. 2. The method of claim 1, further comprising cancelling said identification information following said performance of garbage collection on said data objects with said first node server. 3. The method of claim 1, further comprising:
if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identifying a data object stored by said first node server that is eligible for garbage collection with said first node server; and performing garbage collection on said data object identified with said first node server. 4. The method of claim 1, further comprising:
acquiring identification information for said data object identified with said first node server; and transmitting said identification information to at least one other node server in said in-memory replication system that stores said data object. 5. The method of claim 4, further comprising searching a data object identification table stored by said at least one other node server to determine whether said at least one other node server stores said data object. 6. The method of claim 1, in which said identification information comprises a memory address for said data object. 7. The method of claim 6, in which performing garbage collection on said data object comprises releasing a memory space in said first node server corresponding to said memory address for said data object. 8. The method of claim 1, in which said identification information comprises a globally unique identifier associated with said data object. 9. The method of claim 8, further comprising:
storing a table in said first node server, said table mapping memory addresses of said first node server to globally unique identifiers of data objects stored by said first node server at said memory addresses. 10. A system for garbage collection in a first node server of an in-memory replication system, said system comprising:
a processor; and at least one memory communicatively coupled to said processor, said memory comprising executable code that, when executed by said processor, causes said processor to:
determine whether any external node server has indicated that a data object stored by said at least one memory is eligible for garbage collection; and
in response to determining that an external node server has indicated that a data object stored by said at least one memory is eligible for garbage collection, perform garbage collection on said data object. 11. The system of claim 10, said executable code causing said processor to erase said identification information of said data object following said performance of garbage collection on said data objects with said first node server. 12. The system of claim 10, said executable code causing said processor to:
if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identify data object stored by said first node server that is eligible for garbage collection with said first node server; and perform garbage collection on said data object identified with said first node server. 13. The system of claim 12, said executable code causing said processor to:
acquire identification information for said data object identified with said first node server; and transmit said identification information to at least one other node server in said in-memory replication system that stores said data object. 14. The system of claim 13, said executable code causing said processor to search a data object identification table stored by said at least one other node server to determine whether said at least one other node server stores said data object. 15. The system of claim 10, in which said identification information comprises a memory address for said data object. 16. The system of claim 15, in which performing garbage collection on said data object comprises releasing a memory space in said first node server corresponding to said memory address for said data object. 17. The system of claim 10, in which said identification information comprises a globally unique identifier associated with said data object. 18. The system of claim 17, said executable code causing said processor to:
store a table in said first node server, said table mapping memory addresses of said first node server to globally unique identifiers of data objects stored by said first node server at said memory addresses. 19. A computer program product for processing a query of a database, comprising:
a tangible computer-readable storage medium comprising computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to, in response to a garbage collection trigger in said first node server, determine whether identification information for a data object eligible for garbage collection in said first node server has been received by said first node server from at least a second node server in said in-memory replication system; and computer-readable program code configured to, if said identification information has been received from at least said second node server, perform garbage collection on said data object with said first node server. 20. The computer program product of claim 19, said computer-readable program code further comprising:
computer-readable program code configured to, if said identification information for data objects eligible for garbage collection has not been received from at least said second node server, identify data object stored by said first node server that is eligible for garbage collection with said first node server; computer-readable program code configured to perform garbage collection on said data object identified with said first node server; computer-readable program code configured to acquire identification information for said data object identified with said first node server; and computer-readable program code configured to transmit said identification information to at least one other node server in said in-memory replication system that stores said data object. | 2,100 |
4,815 | 14,450,712 | 2,126 | A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model. | 1. A method of performing spatio-temporal prediction, the method comprising:
obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; generating, using a processor, new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets; selecting, using the processor, features of interest from among the new features; training a predictive model based on the features of interest; and predicting an event based on the predictive model. 2. A method according to claim 1, wherein at least two of the multi-scale spatial datasets are in at least one pairing. 3. The method according to claim 2, further comprising developing the spatial relationship between each pairing of the multi-scale spatial datasets as a pair of distributing matrices. 4. The method according to claim 3, wherein the developing the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, includes indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. 5. The method according to claim 1, further comprising developing the spatial relationships within each of the multi-scale spatial datasets as binary or continuous matrices. 6. The method according to claim 4, wherein the developing the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets includes indicating, in the associated binary matrix, at least one of whether the pair of units are neighbors, whether the pair of units is directly connected, whether the pair of units is within a threshold Euclidean distance of each other, or whether the pair of units is within a threshold path distance of each other. 7. The method according to claim 4, wherein the developing the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets includes indicating, in the associated continuous matrix, at least one of a Euclidean distance between the pair of units, a path distance between the pair of units, or a distance between the pair of units when a detour around an obstruction must be taken. 8. The method according to claim 1, wherein the selecting the features of interest includes discarding from selection the new features with a spatial variation outside a predefined range. 9. The method according to claim 8, further comprising measuring an importance of each of the new features remaining after the discarding, the importance being based on a spatial correlation to a target of the spatio-temporal prediction. 10. A system to perform spatio-temporal prediction, the system comprising:
an input interface configured to receive multi-scale spatial datasets from one or more sources, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; and a processor configured to generate new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets, to select features of interest from among the new features, to train a predictive model based on the features of interest, and to predict an event based on the predictive model. 11. The system according to claim 10, wherein at least two of the multi-scale spatial datasets are in at least one pairing. 12. The system according to claim 11, wherein the processor develops the spatial relationship between each pairing of the multi-scale spatial datasets as a pair of distributing matrices. 13. The system according to claim 12, wherein the processor develops the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, based on indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. 14. The system according to claim 10, wherein the processor develops the spatial relationship within each of the multi-scale spatial datasets as binary or continuous matrices. 15. The system according to claim 14, wherein the processor develops the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets based on indicating, in the associated binary matrix, at least one of whether the pair of units are neighbors, whether the pair of units is directly connected, whether the pair of units is within a threshold Euclidean distance of each other, or whether the pair of units is within a threshold path distance of each other. 16. The system according to claim 14, wherein the processor develops the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets based on indicating, in the associated continuous matrix, at least one of a Euclidean distance between the pair of units, a path distance between the pair of units, or a distance between the pair of units when a detour around an obstruction must be taken. 17. The system according to claim 10, wherein the processor selects the features of interest based on discarding from selection the new features with a spatial variation outside a predefined range. 18. The system according to claim 17, further comprising measuring an importance of each of the new features remaining after the discarding, the importance being based on a spatial correlation to a target of the spatio-temporal prediction. 19. A computer program product comprising instructions that, when processed by a processor, cause the processor to implement a method of performing spatio-temporal prediction, the method comprising:
obtaining, from one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets; selecting features of interest from among the new features; training a predictive model based on the features of interest; and predicting an event based on the predictive model. 20. The computer program product according to claim 19, wherein the method further comprises developing the spatial relationship between at least one pairing of the multi-scale spatial datasets as a pair of distributing matrices, wherein
the developing the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, includes indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. | A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model.1. A method of performing spatio-temporal prediction, the method comprising:
obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; generating, using a processor, new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets; selecting, using the processor, features of interest from among the new features; training a predictive model based on the features of interest; and predicting an event based on the predictive model. 2. A method according to claim 1, wherein at least two of the multi-scale spatial datasets are in at least one pairing. 3. The method according to claim 2, further comprising developing the spatial relationship between each pairing of the multi-scale spatial datasets as a pair of distributing matrices. 4. The method according to claim 3, wherein the developing the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, includes indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. 5. The method according to claim 1, further comprising developing the spatial relationships within each of the multi-scale spatial datasets as binary or continuous matrices. 6. The method according to claim 4, wherein the developing the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets includes indicating, in the associated binary matrix, at least one of whether the pair of units are neighbors, whether the pair of units is directly connected, whether the pair of units is within a threshold Euclidean distance of each other, or whether the pair of units is within a threshold path distance of each other. 7. The method according to claim 4, wherein the developing the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets includes indicating, in the associated continuous matrix, at least one of a Euclidean distance between the pair of units, a path distance between the pair of units, or a distance between the pair of units when a detour around an obstruction must be taken. 8. The method according to claim 1, wherein the selecting the features of interest includes discarding from selection the new features with a spatial variation outside a predefined range. 9. The method according to claim 8, further comprising measuring an importance of each of the new features remaining after the discarding, the importance being based on a spatial correlation to a target of the spatio-temporal prediction. 10. A system to perform spatio-temporal prediction, the system comprising:
an input interface configured to receive multi-scale spatial datasets from one or more sources, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; and a processor configured to generate new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets, to select features of interest from among the new features, to train a predictive model based on the features of interest, and to predict an event based on the predictive model. 11. The system according to claim 10, wherein at least two of the multi-scale spatial datasets are in at least one pairing. 12. The system according to claim 11, wherein the processor develops the spatial relationship between each pairing of the multi-scale spatial datasets as a pair of distributing matrices. 13. The system according to claim 12, wherein the processor develops the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, based on indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. 14. The system according to claim 10, wherein the processor develops the spatial relationship within each of the multi-scale spatial datasets as binary or continuous matrices. 15. The system according to claim 14, wherein the processor develops the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets based on indicating, in the associated binary matrix, at least one of whether the pair of units are neighbors, whether the pair of units is directly connected, whether the pair of units is within a threshold Euclidean distance of each other, or whether the pair of units is within a threshold path distance of each other. 16. The system according to claim 14, wherein the processor develops the spatial relationship among each pair of units within a dataset of the multi-scale spatial datasets based on indicating, in the associated continuous matrix, at least one of a Euclidean distance between the pair of units, a path distance between the pair of units, or a distance between the pair of units when a detour around an obstruction must be taken. 17. The system according to claim 10, wherein the processor selects the features of interest based on discarding from selection the new features with a spatial variation outside a predefined range. 18. The system according to claim 17, further comprising measuring an importance of each of the new features remaining after the discarding, the importance being based on a spatial correlation to a target of the spatio-temporal prediction. 19. A computer program product comprising instructions that, when processed by a processor, cause the processor to implement a method of performing spatio-temporal prediction, the method comprising:
obtaining, from one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities; generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets; selecting features of interest from among the new features; training a predictive model based on the features of interest; and predicting an event based on the predictive model. 20. The computer program product according to claim 19, wherein the method further comprises developing the spatial relationship between at least one pairing of the multi-scale spatial datasets as a pair of distributing matrices, wherein
the developing the spatial relationship between a pairing of a first dataset and a second dataset among the multi-scale spatial datasets, the first dataset including first units and the second dataset including second units, includes indicating a distributing probability of each of the first units onto each of the second units in one distributing matrix of the pair of distributing matrices and indicating a distributing probability of each of the second units onto each of the first units in another distributing matrix of the pair of distributing matrices. | 2,100 |
4,816 | 13,495,936 | 2,191 | A travel advisory generation system is provided that enables generation of travel advisories based upon one or more selected parameters (e.g., location, origin, destination, date, date range, travel provider, class of service, etc.). These travel advisories may be further incorporated into travel search results, providing relevant advisory information in conjunction, e.g., concurrently or in-line, with travel options. The advisories may be further customized in order to display desired notifications and not display undesired notifications to selected users of the travel advisory generation system (e.g., system operators, travel service providers (including, but not limited to, travel agents and travel managers of an organization), and travelers). | 1. A system for presenting travel advisories, the system comprising:
a data store configured to store at least one travel advisory associated with a first travel item available for acquisition by a user; and a travel advisory generation computing device in communication with the data store, the travel advisory generating computing device configured to:
obtain a search query including at least one travel parameter associated with a travel item of interest;
obtain, as search results, information regarding a plurality of travel items available for acquisition and corresponding to the at least one travel parameter the search results including the first travel item;
identify, based at least in part on the search results, the travel advisory related to the first travel item;
based at least in part on one or more display rules, generate instructions for displaying a first user interface that presents the identified travel advisory concurrently with information enabling the user to select the first travel item for subsequent booking; and
transmit the instructions to a computing device associated with the user. 2. The system of claim 1, wherein the travel item of interest comprises one or more of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 3. The system of claim 1, wherein the travel advisory generation computing device is further configured to generate instructions for displaying a second user interface that enables the user of the travel advisory generation computing device to input the one or more display rules. 4. The system of claim 1, wherein the travel advisory generation computing device is further operative to initiate booking of the first travel item in response to receipt of an authorization from the computing device. 5. The system of claim 1, wherein the at least one travel parameter includes at least one of a location, a date, a date range, a destination, an origin, and a class of service for the travel item of interest. 6. A system for enhancing search results for a travel item of interest, the system comprising:
a data storage device configured to maintain one or more travel advisories, wherein each of the travel advisories corresponds to at least one travel item available for acquisition by a user; a travel advisory computing device in communication with the data storage device, the travel advisory computing device configured to:
obtain information regarding one or more travel items available for acquisition and corresponding to at least one travel item parameter selected by a user in association with a request to acquire a travel item of interest;
select a first travel advisory maintained by the data storage device that corresponds to a first travel item of said one or more travel items, available for acquisition; and
generate instructions to display a first user interface that presents the first travel advisory concurrently with information enabling the user to select the first travel item for subsequent booking. 7. The system of claim 6, wherein the first user interface displays the first travel advisory concurrently with the information enabling the user to select the first travel item for subsequent booking. 8. The system of claim 6, wherein the travel item of interest comprises at least one of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 9. The system of claim 6, wherein the travel advisory computing device is further configured to:
transmit the generated instructions to a computing device of the user for display; and generate instructions to display, on a second user computing device, a second user interface that presents information enabling a second user to select the first travel item for subsequent booking without concurrently presenting the first travel advisory. 10. The system of claim 9, wherein the first user is a travel service provider that arranges travel on behalf of the second user. 11. The system of claim 9, wherein the first user is a travel manager of an organization with which the second user is associated. 12. The system of claim 6, wherein the travel advisory computing device is further configured to receive authorization to present the first travel advisory prior to display of the first user interface. 13. The system of claim 6, wherein the at least one travel parameter includes at least one of a location, a date, a date range, a destination, an origin, and a class of service for the travel item. 14. A computer-implemented method for displaying information regarding a travel item of interest, the computer-implemented method comprising:
as implemented by one or more computing devices configured with specific computer-executable instructions,
obtaining one or more travel advisories, wherein at least one travel advisory of the one or more travel advisories is associated with a first travel item available for acquisition by a user;
obtaining from the user a search query including at least one travel parameter associated with a travel item of interest,
identifying, as search results, a plurality of travel items available for acquisition and corresponding to the at least one travel parameter, the search results including the first travel item; and
generating instructions for display of the travel advisory associated with the first travel item concurrently with information enabling the user to select at least one of the plurality of travel items for subsequent booking. 15. The computer-implemented method of claim 14, wherein the travel item of interest comprises at least one of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 16. The computer-implemented method of claim 14, wherein the at least one travel parameter comprises at least one of a location, a date, a date range, a time, an origin, a destination, and a class of service. 17. The computer-implemented method of claim 14, wherein the the plurality of travel items are determined to correspond to the at least one travel parameter by a computing device when each of the plurality of travel items is associated with the at least one travel parameter or a substantially similar travel parameter. 18. The computer-implemented method of claim 14, wherein display of the travel advisory associated with the first travel item concurrently with the information enabling the user to select at least one of the plurality of travel items for subsequent booking comprises display of the travel advisory associated with the first travel item and said information within a single user interface. 19. The computer-implemented method of claim 14, wherein display of the travel advisory associated with the first travel item concurrently with the information enabling the user to select at least one of the plurality of travel items for subsequent booking comprises display of the travel advisory associated with the first travel item in-line with said information by a computing device. 20. The computer-implemented method of claim 14 further comprising:
transmitting the generated instructions to a computing device of the user; and
generating section instructions for display of a second user interface on a computing device of a second user, wherein the second interface enables the second user to select the first travel item for subsequent booking and omits the travel advisory associated with the first travel item. 21. The computer-implemented method of claim 15, wherein the first user is a travel service provider that arranges travel on behalf of a traveler and the second user is the traveler. 22. A non-transitory computer-readable medium having a computer-executable component for identifying notifications for travel items of interest, the computer-executable component comprising:
a travel advisory component configured to:
obtain from a user a search query including at least one selected travel parameter-related to the travel item of interest;
identify, in response to the search query, information regarding a plurality of travel items available for acquisition and corresponding to the at least one travel parameter;
identify at least one travel advisory corresponding a first travel item of the plurality of travel items available for acquisition based at least upon parameters of the one or more travel advisories and the at least one travel parameters; and
generate instructions to display a first user interface that presents the at least one travel advisory concurrently with the information enabling the user to select the first travel item for subsequent booking. 23. The non-transitory computer-readable medium of claim 22, wherein the first user interface displays the at least one travel advisory concurrently with the information regarding first travel item. 24. The non-transitory computer-readable medium of claim 22, wherein the plurality of travel items comprise one or more of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 25. The non-transitory computer-readable medium of claim 22, wherein the travel advisory components is further configured to:
display the first user interface at a computing device of the user; and display a second user interface at a computing device of a second user wherein the second interface enables the second user to select the first travel item for subsequent booking and omits the travel advisory associated with the first travel item. 26. The non-transitory computer-readable medium of claim 22, wherein the first user is a travel service provider that arranges travel on behalf of the second user. 27. The non-transitory computer-readable medium of claim 22, wherein the first user is a travel manager of an organization including the second user. 28. The non-transitory computer-readable medium of claim 22, wherein the travel advisory component is further configured to receive authorization to present the travel advisory prior to display of the first user interface. 29. The non-transitory computer-readable medium of claim 22, wherein the travel parameter-related to the travel item of interest includes at least one of a location, a date, a date range, an origin, a destination, and a class of service for the travel item. | A travel advisory generation system is provided that enables generation of travel advisories based upon one or more selected parameters (e.g., location, origin, destination, date, date range, travel provider, class of service, etc.). These travel advisories may be further incorporated into travel search results, providing relevant advisory information in conjunction, e.g., concurrently or in-line, with travel options. The advisories may be further customized in order to display desired notifications and not display undesired notifications to selected users of the travel advisory generation system (e.g., system operators, travel service providers (including, but not limited to, travel agents and travel managers of an organization), and travelers).1. A system for presenting travel advisories, the system comprising:
a data store configured to store at least one travel advisory associated with a first travel item available for acquisition by a user; and a travel advisory generation computing device in communication with the data store, the travel advisory generating computing device configured to:
obtain a search query including at least one travel parameter associated with a travel item of interest;
obtain, as search results, information regarding a plurality of travel items available for acquisition and corresponding to the at least one travel parameter the search results including the first travel item;
identify, based at least in part on the search results, the travel advisory related to the first travel item;
based at least in part on one or more display rules, generate instructions for displaying a first user interface that presents the identified travel advisory concurrently with information enabling the user to select the first travel item for subsequent booking; and
transmit the instructions to a computing device associated with the user. 2. The system of claim 1, wherein the travel item of interest comprises one or more of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 3. The system of claim 1, wherein the travel advisory generation computing device is further configured to generate instructions for displaying a second user interface that enables the user of the travel advisory generation computing device to input the one or more display rules. 4. The system of claim 1, wherein the travel advisory generation computing device is further operative to initiate booking of the first travel item in response to receipt of an authorization from the computing device. 5. The system of claim 1, wherein the at least one travel parameter includes at least one of a location, a date, a date range, a destination, an origin, and a class of service for the travel item of interest. 6. A system for enhancing search results for a travel item of interest, the system comprising:
a data storage device configured to maintain one or more travel advisories, wherein each of the travel advisories corresponds to at least one travel item available for acquisition by a user; a travel advisory computing device in communication with the data storage device, the travel advisory computing device configured to:
obtain information regarding one or more travel items available for acquisition and corresponding to at least one travel item parameter selected by a user in association with a request to acquire a travel item of interest;
select a first travel advisory maintained by the data storage device that corresponds to a first travel item of said one or more travel items, available for acquisition; and
generate instructions to display a first user interface that presents the first travel advisory concurrently with information enabling the user to select the first travel item for subsequent booking. 7. The system of claim 6, wherein the first user interface displays the first travel advisory concurrently with the information enabling the user to select the first travel item for subsequent booking. 8. The system of claim 6, wherein the travel item of interest comprises at least one of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 9. The system of claim 6, wherein the travel advisory computing device is further configured to:
transmit the generated instructions to a computing device of the user for display; and generate instructions to display, on a second user computing device, a second user interface that presents information enabling a second user to select the first travel item for subsequent booking without concurrently presenting the first travel advisory. 10. The system of claim 9, wherein the first user is a travel service provider that arranges travel on behalf of the second user. 11. The system of claim 9, wherein the first user is a travel manager of an organization with which the second user is associated. 12. The system of claim 6, wherein the travel advisory computing device is further configured to receive authorization to present the first travel advisory prior to display of the first user interface. 13. The system of claim 6, wherein the at least one travel parameter includes at least one of a location, a date, a date range, a destination, an origin, and a class of service for the travel item. 14. A computer-implemented method for displaying information regarding a travel item of interest, the computer-implemented method comprising:
as implemented by one or more computing devices configured with specific computer-executable instructions,
obtaining one or more travel advisories, wherein at least one travel advisory of the one or more travel advisories is associated with a first travel item available for acquisition by a user;
obtaining from the user a search query including at least one travel parameter associated with a travel item of interest,
identifying, as search results, a plurality of travel items available for acquisition and corresponding to the at least one travel parameter, the search results including the first travel item; and
generating instructions for display of the travel advisory associated with the first travel item concurrently with information enabling the user to select at least one of the plurality of travel items for subsequent booking. 15. The computer-implemented method of claim 14, wherein the travel item of interest comprises at least one of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 16. The computer-implemented method of claim 14, wherein the at least one travel parameter comprises at least one of a location, a date, a date range, a time, an origin, a destination, and a class of service. 17. The computer-implemented method of claim 14, wherein the the plurality of travel items are determined to correspond to the at least one travel parameter by a computing device when each of the plurality of travel items is associated with the at least one travel parameter or a substantially similar travel parameter. 18. The computer-implemented method of claim 14, wherein display of the travel advisory associated with the first travel item concurrently with the information enabling the user to select at least one of the plurality of travel items for subsequent booking comprises display of the travel advisory associated with the first travel item and said information within a single user interface. 19. The computer-implemented method of claim 14, wherein display of the travel advisory associated with the first travel item concurrently with the information enabling the user to select at least one of the plurality of travel items for subsequent booking comprises display of the travel advisory associated with the first travel item in-line with said information by a computing device. 20. The computer-implemented method of claim 14 further comprising:
transmitting the generated instructions to a computing device of the user; and
generating section instructions for display of a second user interface on a computing device of a second user, wherein the second interface enables the second user to select the first travel item for subsequent booking and omits the travel advisory associated with the first travel item. 21. The computer-implemented method of claim 15, wherein the first user is a travel service provider that arranges travel on behalf of a traveler and the second user is the traveler. 22. A non-transitory computer-readable medium having a computer-executable component for identifying notifications for travel items of interest, the computer-executable component comprising:
a travel advisory component configured to:
obtain from a user a search query including at least one selected travel parameter-related to the travel item of interest;
identify, in response to the search query, information regarding a plurality of travel items available for acquisition and corresponding to the at least one travel parameter;
identify at least one travel advisory corresponding a first travel item of the plurality of travel items available for acquisition based at least upon parameters of the one or more travel advisories and the at least one travel parameters; and
generate instructions to display a first user interface that presents the at least one travel advisory concurrently with the information enabling the user to select the first travel item for subsequent booking. 23. The non-transitory computer-readable medium of claim 22, wherein the first user interface displays the at least one travel advisory concurrently with the information regarding first travel item. 24. The non-transitory computer-readable medium of claim 22, wherein the plurality of travel items comprise one or more of a flight, lodging, rental car, train, bus, cruise, event, and excursion. 25. The non-transitory computer-readable medium of claim 22, wherein the travel advisory components is further configured to:
display the first user interface at a computing device of the user; and display a second user interface at a computing device of a second user wherein the second interface enables the second user to select the first travel item for subsequent booking and omits the travel advisory associated with the first travel item. 26. The non-transitory computer-readable medium of claim 22, wherein the first user is a travel service provider that arranges travel on behalf of the second user. 27. The non-transitory computer-readable medium of claim 22, wherein the first user is a travel manager of an organization including the second user. 28. The non-transitory computer-readable medium of claim 22, wherein the travel advisory component is further configured to receive authorization to present the travel advisory prior to display of the first user interface. 29. The non-transitory computer-readable medium of claim 22, wherein the travel parameter-related to the travel item of interest includes at least one of a location, a date, a date range, an origin, a destination, and a class of service for the travel item. | 2,100 |
4,817 | 14,223,252 | 2,194 | The present invention relates to apparatus and methods for low latency data delivery within multi-core processing systems. The apparatus and method comprises assigning a task to a processing core; identifying a job within the task to be performed via an accelerator; performing and completing the job via the accelerator; generating output data including associated status information via the accelerator, the status information including an associated inactive write strobe; snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information; and continuing executing the task using the output data associated with the status information. | 1. A method comprising:
assigning a task to a processing core; identifying a job within the task to be performed via an accelerator; performing and completing the job via the accelerator; generating output data including associated status information via the accelerator, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data; snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information; and continuing executing the task using the output data associated with the status information. 2. The method of claim 1 further comprising:
providing the output data including the associated status information to a workspace associated with the processing core, the providing via an interconnect circuit. 3. The method of claim 2 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 4. The method of claim 2 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AMBA) interconnect. 5. The method of claim 4 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. 6. A data processing system comprising:
a processing core, the processing core performing a task; an accelerator, the processor core identifying a job to be performed by the accelerator; an interconnect circuit coupled to the processing core and the accelerator, the accelerator generating output data including associated status information, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data, the processing core snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information and, the processing core continuing executing the task using the output data associated with the status information. 7. The data processing system of claim 6 further comprising:
a workspace associated with the processing core; and wherein
the output data including the associated status information is provided to the workspace associated with the processing core via the interconnect circuit. 8. The data processing system of claim 7 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 9. The data processing system of claim 7 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AMBA) interconnect. 10. The data processing system of claim 9 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. 11. An apparatus comprising:
an interconnect coupled to a processing core and an accelerator, the accelerator generating output data including associated status information, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data, the processing core snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information and, the processing core continuing executing the task using the output data associated with the status information. 12. The apparatus of claim 11 further comprising:
a workspace associated with the processing core; and wherein
the output data including the associated status information is provided to the workspace associated with the processing core via the interconnect circuit. 13. The apparatus of claim 12 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 14. The apparatus of claim 12 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AM BA) interconnect. 15. The apparatus of claim 14 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. | The present invention relates to apparatus and methods for low latency data delivery within multi-core processing systems. The apparatus and method comprises assigning a task to a processing core; identifying a job within the task to be performed via an accelerator; performing and completing the job via the accelerator; generating output data including associated status information via the accelerator, the status information including an associated inactive write strobe; snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information; and continuing executing the task using the output data associated with the status information.1. A method comprising:
assigning a task to a processing core; identifying a job within the task to be performed via an accelerator; performing and completing the job via the accelerator; generating output data including associated status information via the accelerator, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data; snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information; and continuing executing the task using the output data associated with the status information. 2. The method of claim 1 further comprising:
providing the output data including the associated status information to a workspace associated with the processing core, the providing via an interconnect circuit. 3. The method of claim 2 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 4. The method of claim 2 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AMBA) interconnect. 5. The method of claim 4 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. 6. A data processing system comprising:
a processing core, the processing core performing a task; an accelerator, the processor core identifying a job to be performed by the accelerator; an interconnect circuit coupled to the processing core and the accelerator, the accelerator generating output data including associated status information, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data, the processing core snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information and, the processing core continuing executing the task using the output data associated with the status information. 7. The data processing system of claim 6 further comprising:
a workspace associated with the processing core; and wherein
the output data including the associated status information is provided to the workspace associated with the processing core via the interconnect circuit. 8. The data processing system of claim 7 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 9. The data processing system of claim 7 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AMBA) interconnect. 10. The data processing system of claim 9 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. 11. An apparatus comprising:
an interconnect coupled to a processing core and an accelerator, the accelerator generating output data including associated status information, the status information including an associated inactive write strobe that indicates whether the task has completed, the associated inactive write strobe identifying the status information within the output data, the processing core snooping the status information to determine when the job being performed by the accelerator is completed, the snooping comprising snooping the status information and, the processing core continuing executing the task using the output data associated with the status information. 12. The apparatus of claim 11 further comprising:
a workspace associated with the processing core; and wherein
the output data including the associated status information is provided to the workspace associated with the processing core via the interconnect circuit. 13. The apparatus of claim 12 wherein:
the interconnect circuit comprises separate address and data phases; and,
the associated status information is provided via the data phase of the interconnect circuit. 14. The apparatus of claim 12 wherein:
the interconnect circuit comprises an Advanced Microcontroller Bus Architecture (AM BA) interconnect. 15. The apparatus of claim 14 wherein:
the Advanced Microcontroller Bus Architecture (AMBA) interconnect further comprises an Advanced eXtensible Interface (AXI) interconnect. | 2,100 |
4,818 | 14,783,524 | 2,191 | Coordinating application deployment with a platform tier includes assigning a platform tier that has at least some capabilities that match application requests specific to an application embodied in an application layer, deploying the application to the platform tier, and performing a development task on the application in the platform tier with the capabilities. | 1. A computer program product for coordinating applications deployment with a platform tier, comprising:
a non-transitory computer readable storage medium, said non-transitory computer readable storage medium comprising computer readable program code embodied therewith, said computer readable program code comprising program instructions that, when executed, causes a processor to:
identify a platform tier that has capabilities that match application requests specific to an application embodied in an application layer;
deploy said application to said platform tier; and
perform a development task on said application in said platform tier with said capabilities. 2. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to attach additional machine readable instructions to said platform tier. 3. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to build a platform tier to have said capabilities that match said application requests. 4. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to match said application requests with said capabilities of said platform tier from a group of platform tiers. 5. The computer program product of claim 1, wherein said capabilities includes language that describes a hierarchy, a traversal order, a value, a property, or combinations thereof. 6. The computer program product of claim 1, wherein said application request includes an action. 7. The computer program product of claim 6, wherein said capabilities of said platform tier includes a model of said action. 8. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to apply capabilities to said platform tier identified to match said application requests. 9. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to define capabilities of a platform tier. 10. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to define application requests. 11. The computer program product of claim 1, wherein said platform tier has at least one server that shares a common operating system and common programs. 12. A system for coordinating applications deployment with a platform tier, comprising:
a request engine to generate at least one request to a platform tier from an application layer; a capability tracking engine to determine existing capabilities of platform tiers; an assignment engine to assign an application of said application layer to said platform tier based on said at least one request; and a deployment engine to deploy said application to said platform tier based on an assignment from said assignment engine. 13. The system of claim 12, further comprising an applying engine to apply additional capabilities to said platform tier to satisfy said at least one request. 14. The system of claim 12, further comprising an attachment engine to attach machine readable instructions to said application in said platform tier. 15. A method for coordinating applications deployment with a platform tier, comprising:
generating application requests of a platform tier from an application layer; tracking existing capabilities of individual platform tiers; assigning an application of said application layer to one of said individual platform tiers based on said application requests; applying additional capabilities to said one of said individual platform tiers to satisfy said application requests; and deploying said application to said one of said individual platform tiers. | Coordinating application deployment with a platform tier includes assigning a platform tier that has at least some capabilities that match application requests specific to an application embodied in an application layer, deploying the application to the platform tier, and performing a development task on the application in the platform tier with the capabilities.1. A computer program product for coordinating applications deployment with a platform tier, comprising:
a non-transitory computer readable storage medium, said non-transitory computer readable storage medium comprising computer readable program code embodied therewith, said computer readable program code comprising program instructions that, when executed, causes a processor to:
identify a platform tier that has capabilities that match application requests specific to an application embodied in an application layer;
deploy said application to said platform tier; and
perform a development task on said application in said platform tier with said capabilities. 2. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to attach additional machine readable instructions to said platform tier. 3. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to build a platform tier to have said capabilities that match said application requests. 4. The computer program product of claim 1, further comprising program instructions that, when executed, causes said processor to match said application requests with said capabilities of said platform tier from a group of platform tiers. 5. The computer program product of claim 1, wherein said capabilities includes language that describes a hierarchy, a traversal order, a value, a property, or combinations thereof. 6. The computer program product of claim 1, wherein said application request includes an action. 7. The computer program product of claim 6, wherein said capabilities of said platform tier includes a model of said action. 8. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to apply capabilities to said platform tier identified to match said application requests. 9. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to define capabilities of a platform tier. 10. The computer program product of claim 1, wherein said code further comprises program instructions that, when executed, causes said processor to define application requests. 11. The computer program product of claim 1, wherein said platform tier has at least one server that shares a common operating system and common programs. 12. A system for coordinating applications deployment with a platform tier, comprising:
a request engine to generate at least one request to a platform tier from an application layer; a capability tracking engine to determine existing capabilities of platform tiers; an assignment engine to assign an application of said application layer to said platform tier based on said at least one request; and a deployment engine to deploy said application to said platform tier based on an assignment from said assignment engine. 13. The system of claim 12, further comprising an applying engine to apply additional capabilities to said platform tier to satisfy said at least one request. 14. The system of claim 12, further comprising an attachment engine to attach machine readable instructions to said application in said platform tier. 15. A method for coordinating applications deployment with a platform tier, comprising:
generating application requests of a platform tier from an application layer; tracking existing capabilities of individual platform tiers; assigning an application of said application layer to one of said individual platform tiers based on said application requests; applying additional capabilities to said one of said individual platform tiers to satisfy said application requests; and deploying said application to said one of said individual platform tiers. | 2,100 |
4,819 | 13,460,045 | 2,177 | A system is provided for downloading an electronic greeting card application to a portable computing device. The system comprising a server, a paper greeting card, and a code printed on the paper greeting card. The electronic greeting card application is downloaded to the portable computing device from the server in response to the portable computing device scanning the code on the paper greeting card. Further herein, a system is provided where a category of greeting cards are contained within the electronic greeting card application, and at least a greeting card within the category of greeting cards. The greeting card comprises a plurality pages, with at least one of the a plurality pages having an option to customize, and each of the a plurality pages being movable by a touch of a finger. The customized greeting card may be previewed and may be sent via various sending mechanisms. | 1. An electronic greeting card system including an application downloadable to a portable computing device comprising:
a server; a paper greeting card; a code printed on the paper greeting card; an electronic greeting card application program that is downloaded to the portable computing device from the server in response to the portable computing device scanning the code on the paper greeting card; a category of greeting cards provided by the electronic greeting card application; a greeting card within the category of greeting cards, wherein the greeting card comprises four pages, with at least one of the four pages having an option to customize, and each of the four pages being movable by a touch of a finger; and a means for selecting a medium to be used to send the greeting card from a group of sending media provided by the electronic greeting card application. 2. The system of claim 1 wherein the medium to be used to send the greeting card is email. 3. The system of claim 1 wherein the medium to be used to send the greeting card is social networking, such as Facebook®. 4. The system of claim 1 wherein the medium to be used to send the greeting card is text message. 5. The system of claim 1 wherein the medium to be used to send the greeting card is postal mail. 6. The system of claim 1 wherein the server is part of a network of servers in a cloud computing environment. 7. The system of claim 1 wherein the code is a Quick Response code. 8. The system of claim 1 wherein the code is a bar code. 9. The system of claim 1 wherein the category of greeting cards has a sub category of greeting cards. 10. The system of claim 1 wherein the greeting card is rendered using scalable vector graphics. 11. An electronic greeting card application for a portable computing device, comprising:
a category of greeting cards; at least one greeting card within the category of greeting cards, wherein the at least one greeting card comprises four pages, with at least one of the four pages having an option to customize, and each of the four pages being movable by a touch of a finger; a means for previewing the greeting card; and a means for selecting a medium to be used to send the greeting card. 12. The electronic greeting card application of claim 11 wherein the category of greeting cards has a sub category of greeting cards. 13. The electronic greeting card application of claim 11 wherein the greeting cards within the category of greeting cards can be viewed as a grid. 14. The electronic greeting card application of claim 11 wherein the greeting cards within the category of greeting cards can be viewed as a list. 15. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding an electronic signature. 16. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding a personalized message. 17. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding a digital photograph. 18. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via email. 19. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via social networking, such as Facebook®. 20. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via social networking, such as Twitter®. 21. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via text message. 22. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via postal mail. 23. The electronic greeting card application of claim 11 further including an option to locate a store. 24. The option to locate a store of claim 23 further including the option to locate a store based on a zip code. 25. The option to locate a store of claim 23 further including the option to locate a store that sells paper version of the electronic greeting card. 26. The electronic greeting card application of claim 11 further including an option to set user reminders. 27. The option to set user reminders of claim 26 further including the option to connect to a social networking site, such as Facebook®, to set user reminders. 28. The option to set user reminders of claim 26 further including the option to create user reminders from within the electronic greeting card application. 29. The option to set user reminders of claim 26 further including the option to receive a reminder notification on the day of the reminder, from outside the electronic greeting card application. 30. The option to set user reminders of claim 26 further including the option to receive a reminder notification seven days in advance of the reminder, from outside the electronic greeting card application. 31. The electronic greeting card application of claim 11 wherein the greeting cards are rendered using scalable vector graphics. 32. A method for delivering electronic greeting cards to an electronic greeting card application comprising:
creating new greeting card categories and new greeting cards; transmitting the new greeting card categories and the new greeting cards to at least one web server; comparing the new greeting card categories and the new greeting cards with application greeting card categories and application greeting cards on the electronic greeting card application; retrieving changes to the application greeting card categories based on the comparison to the new greeting card categories, to the electronic greeting card application; retrieving changes to the application greeting cards based on the comparison to the new greeting cards, to the electronic greeting card application; storing changes to the application greeting card categories and application greeting cards in a local cache; and updating the electronic greeting card application with information stored in the local cache. 33. The method of claim 32 wherein the web server is part of a network of servers in a cloud computing environment. 34. The method of claim 32 wherein changes to the application greeting card categories include any edits, updates, deletions and additions to the application greeting card categories. 35. The method of claim 32 wherein changes to the application greeting cards include any edits, updates, deletions and additions to the application greeting cards. 36. A system for delivering electronic greeting cards to a portable computing device comprising:
a content merchandising system, which accepts greeting card categories and greeting cards; a web server, which is updated with the greeting card categories and greeting cards; and an application, which compares the greeting card categories and the greeting cards with application greeting card categories and application greeting cards disposed on the portable computing device, retrieves changes to the application greeting card categories and application greeting cards and stores them in a local cache of the portable computing device, and updates the portable computing device with information stored in the local cache. 37. The system of claim. 36 wherein the web server is part of a network of servers in a cloud computing environment. 38. The system of claim 36 wherein changes to the application greeting card categories include any edits, updates, deletions and additions to the application greeting card categories. 39. The method of claim 36 wherein changes to the application greeting cards include any edits, updates, deletions and additions to the application greeting cards. | A system is provided for downloading an electronic greeting card application to a portable computing device. The system comprising a server, a paper greeting card, and a code printed on the paper greeting card. The electronic greeting card application is downloaded to the portable computing device from the server in response to the portable computing device scanning the code on the paper greeting card. Further herein, a system is provided where a category of greeting cards are contained within the electronic greeting card application, and at least a greeting card within the category of greeting cards. The greeting card comprises a plurality pages, with at least one of the a plurality pages having an option to customize, and each of the a plurality pages being movable by a touch of a finger. The customized greeting card may be previewed and may be sent via various sending mechanisms.1. An electronic greeting card system including an application downloadable to a portable computing device comprising:
a server; a paper greeting card; a code printed on the paper greeting card; an electronic greeting card application program that is downloaded to the portable computing device from the server in response to the portable computing device scanning the code on the paper greeting card; a category of greeting cards provided by the electronic greeting card application; a greeting card within the category of greeting cards, wherein the greeting card comprises four pages, with at least one of the four pages having an option to customize, and each of the four pages being movable by a touch of a finger; and a means for selecting a medium to be used to send the greeting card from a group of sending media provided by the electronic greeting card application. 2. The system of claim 1 wherein the medium to be used to send the greeting card is email. 3. The system of claim 1 wherein the medium to be used to send the greeting card is social networking, such as Facebook®. 4. The system of claim 1 wherein the medium to be used to send the greeting card is text message. 5. The system of claim 1 wherein the medium to be used to send the greeting card is postal mail. 6. The system of claim 1 wherein the server is part of a network of servers in a cloud computing environment. 7. The system of claim 1 wherein the code is a Quick Response code. 8. The system of claim 1 wherein the code is a bar code. 9. The system of claim 1 wherein the category of greeting cards has a sub category of greeting cards. 10. The system of claim 1 wherein the greeting card is rendered using scalable vector graphics. 11. An electronic greeting card application for a portable computing device, comprising:
a category of greeting cards; at least one greeting card within the category of greeting cards, wherein the at least one greeting card comprises four pages, with at least one of the four pages having an option to customize, and each of the four pages being movable by a touch of a finger; a means for previewing the greeting card; and a means for selecting a medium to be used to send the greeting card. 12. The electronic greeting card application of claim 11 wherein the category of greeting cards has a sub category of greeting cards. 13. The electronic greeting card application of claim 11 wherein the greeting cards within the category of greeting cards can be viewed as a grid. 14. The electronic greeting card application of claim 11 wherein the greeting cards within the category of greeting cards can be viewed as a list. 15. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding an electronic signature. 16. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding a personalized message. 17. The electronic greeting card application of claim 11 wherein at least one of the four pages of the greeting card is customized by adding a digital photograph. 18. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via email. 19. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via social networking, such as Facebook®. 20. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via social networking, such as Twitter®. 21. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via text message. 22. The electronic greeting card application of claim 11 wherein the medium to be used to send the greeting card includes sending the greeting card via postal mail. 23. The electronic greeting card application of claim 11 further including an option to locate a store. 24. The option to locate a store of claim 23 further including the option to locate a store based on a zip code. 25. The option to locate a store of claim 23 further including the option to locate a store that sells paper version of the electronic greeting card. 26. The electronic greeting card application of claim 11 further including an option to set user reminders. 27. The option to set user reminders of claim 26 further including the option to connect to a social networking site, such as Facebook®, to set user reminders. 28. The option to set user reminders of claim 26 further including the option to create user reminders from within the electronic greeting card application. 29. The option to set user reminders of claim 26 further including the option to receive a reminder notification on the day of the reminder, from outside the electronic greeting card application. 30. The option to set user reminders of claim 26 further including the option to receive a reminder notification seven days in advance of the reminder, from outside the electronic greeting card application. 31. The electronic greeting card application of claim 11 wherein the greeting cards are rendered using scalable vector graphics. 32. A method for delivering electronic greeting cards to an electronic greeting card application comprising:
creating new greeting card categories and new greeting cards; transmitting the new greeting card categories and the new greeting cards to at least one web server; comparing the new greeting card categories and the new greeting cards with application greeting card categories and application greeting cards on the electronic greeting card application; retrieving changes to the application greeting card categories based on the comparison to the new greeting card categories, to the electronic greeting card application; retrieving changes to the application greeting cards based on the comparison to the new greeting cards, to the electronic greeting card application; storing changes to the application greeting card categories and application greeting cards in a local cache; and updating the electronic greeting card application with information stored in the local cache. 33. The method of claim 32 wherein the web server is part of a network of servers in a cloud computing environment. 34. The method of claim 32 wherein changes to the application greeting card categories include any edits, updates, deletions and additions to the application greeting card categories. 35. The method of claim 32 wherein changes to the application greeting cards include any edits, updates, deletions and additions to the application greeting cards. 36. A system for delivering electronic greeting cards to a portable computing device comprising:
a content merchandising system, which accepts greeting card categories and greeting cards; a web server, which is updated with the greeting card categories and greeting cards; and an application, which compares the greeting card categories and the greeting cards with application greeting card categories and application greeting cards disposed on the portable computing device, retrieves changes to the application greeting card categories and application greeting cards and stores them in a local cache of the portable computing device, and updates the portable computing device with information stored in the local cache. 37. The system of claim. 36 wherein the web server is part of a network of servers in a cloud computing environment. 38. The system of claim 36 wherein changes to the application greeting card categories include any edits, updates, deletions and additions to the application greeting card categories. 39. The method of claim 36 wherein changes to the application greeting cards include any edits, updates, deletions and additions to the application greeting cards. | 2,100 |
4,820 | 13,526,017 | 2,117 | A program includes a parameter numeric value and a parameter code and a parameter name that are associated with the parameter numeric value. A dialog box information creation processing unit recognizes the parameter code and the parameter name, which are included in the program, as a parameter item, and creates dialog box information from the recognized parameter code and parameter name and the associated parameter numeric value. The parameter numeric value within the created dialog box information is editable on a dialog box display screen. When the parameter numeric value is updated, a process of changing the corresponding parameter numeric value in the program to the updated parameter numeric value is executed. | 1. A machine control program creating device, comprising:
program storage means for storing a machine control program that is used to operate a machine and that includes a parameter numeric value and a parameter code and a parameter name that are associated with the parameter numeric value; dialog box information creation processing means for recognizing the parameter code and the parameter name that are included in the machine control program stored in the program storage means as a parameter item, and for creating dialog box information from the recognized parameter code and the recognized parameter name and the parameter numeric value associated with the recognized parameter code and the recognized parameter name; dialog box information storage means for storing the dialog box information created by the dialog box information creation processing means; a dialog box display screen that is an input screen for the parameter numeric value and that displays at least the parameter name and the parameter numeric value that is editable; dialog box display processing means for causing the dialog box display screen to display the parameter name and the parameter numeric value as the dialog box information stored in the dialog box information storage means; external input means that is able to edit the parameter numeric value on the dialog box display screen and that, when the parameter numeric value is edited, causes the dialog box information creation processing means to update the parameter numeric value stored in the dialog box information storage means; and program creation processing means for, when the parameter numeric value within the dialog box information stored in the dialog box information storage means is updated, executing a process of changing the corresponding parameter numeric value in the machine control program stored in the program storage means to the updated parameter numeric value. 2. The machine control program creating device according to claim 1, wherein:
the external input means is able to edit the parameter name on the dialog box display screen, and, when the parameter name is edited, causes the dialog box information creation processing means to update the parameter name stored in the dialog box information storage means; and when the parameter name within the dialog box information stored in the dialog box information storage means is updated, the program creation processing means executes a process of changing the corresponding parameter name in the machine control program stored in the program storage means to the updated parameter name. 3. The machine control program creating device according to claim 1, further comprising:
template storage means for storing a plurality of templates of the machine control program, respectively corresponding to a plurality of operation types; and template selection processing means for selecting one or plurality of the templates from among the plurality of the templates, wherein the dialog box information creation processing means creates the dialog box information based on the one or plurality of templates selected by the template selection processing means, and the program creation processing means creates the machine control program based on the dialog box information stored in the dialog box information storage means. 4. The machine control program creating device according to claim 1, further comprising:
SFC creation processing means for, when the machine control program is divided into a plurality of operation cycles, creating the respective operation cycles as steps of a sequential function chart; SFC storage means for storing the sequential function chart created by the SFC creation processing means; a SFC display screen; and SFC display processing means for causing the sequential function chart stored in the SFC storage means to be displayed on the SFC display screen, wherein the dialog box information creation processing means creates pieces of the dialog box information, respectively associated with the steps of the sequential function chart stored in the SFC storage means, the program creation processing means creates the machine control program based on the sequential function chart stored in the SFC storage means and the pieces of dialog box information stored in the dialog box information storage means, and the SFC creation processing means creates the sequential function chart based on step start codes and step end codes of the machine control program stored in the machine control program storage means. 5. The machine control program creating device according to claim 4, further comprising:
process chart input means for inputting a process chart showing control steps of the machine and showing a sequence of a plurality of processes, wherein the SFC creation processing means recognizes the respective control steps of the process chart input by the process chart input means as the respective operation cycles of the machine control program, and creates the steps for each of the control steps. 6. The machine control program creating device according to claim 4, wherein:
the SFC storage means stores a step name for each step in addition to the sequential function chart; and the SFC display processing means causes the SFC display screen to display the step name for each step in addition to the sequential function chart. 7. The machine control program creating device according to claim 1, wherein:
the dialog box information includes a drawing that shows an operation type; and the drawing that shows the operation type is displayed on the dialog box display screen. 8. The machine control program creating device according to claim 3, wherein:
the template storage means stores the plurality of templates of the machine control program and template drawings that respectively show operation types corresponding to the plurality of templates; the dialog box information includes the template drawings; and one of the template drawings is displayed on the dialog box display screen. 9. The machine control program creating device according to claim 1, wherein
the machine control program is a machining program for controlling a machine tool that machines a workpiece. | A program includes a parameter numeric value and a parameter code and a parameter name that are associated with the parameter numeric value. A dialog box information creation processing unit recognizes the parameter code and the parameter name, which are included in the program, as a parameter item, and creates dialog box information from the recognized parameter code and parameter name and the associated parameter numeric value. The parameter numeric value within the created dialog box information is editable on a dialog box display screen. When the parameter numeric value is updated, a process of changing the corresponding parameter numeric value in the program to the updated parameter numeric value is executed.1. A machine control program creating device, comprising:
program storage means for storing a machine control program that is used to operate a machine and that includes a parameter numeric value and a parameter code and a parameter name that are associated with the parameter numeric value; dialog box information creation processing means for recognizing the parameter code and the parameter name that are included in the machine control program stored in the program storage means as a parameter item, and for creating dialog box information from the recognized parameter code and the recognized parameter name and the parameter numeric value associated with the recognized parameter code and the recognized parameter name; dialog box information storage means for storing the dialog box information created by the dialog box information creation processing means; a dialog box display screen that is an input screen for the parameter numeric value and that displays at least the parameter name and the parameter numeric value that is editable; dialog box display processing means for causing the dialog box display screen to display the parameter name and the parameter numeric value as the dialog box information stored in the dialog box information storage means; external input means that is able to edit the parameter numeric value on the dialog box display screen and that, when the parameter numeric value is edited, causes the dialog box information creation processing means to update the parameter numeric value stored in the dialog box information storage means; and program creation processing means for, when the parameter numeric value within the dialog box information stored in the dialog box information storage means is updated, executing a process of changing the corresponding parameter numeric value in the machine control program stored in the program storage means to the updated parameter numeric value. 2. The machine control program creating device according to claim 1, wherein:
the external input means is able to edit the parameter name on the dialog box display screen, and, when the parameter name is edited, causes the dialog box information creation processing means to update the parameter name stored in the dialog box information storage means; and when the parameter name within the dialog box information stored in the dialog box information storage means is updated, the program creation processing means executes a process of changing the corresponding parameter name in the machine control program stored in the program storage means to the updated parameter name. 3. The machine control program creating device according to claim 1, further comprising:
template storage means for storing a plurality of templates of the machine control program, respectively corresponding to a plurality of operation types; and template selection processing means for selecting one or plurality of the templates from among the plurality of the templates, wherein the dialog box information creation processing means creates the dialog box information based on the one or plurality of templates selected by the template selection processing means, and the program creation processing means creates the machine control program based on the dialog box information stored in the dialog box information storage means. 4. The machine control program creating device according to claim 1, further comprising:
SFC creation processing means for, when the machine control program is divided into a plurality of operation cycles, creating the respective operation cycles as steps of a sequential function chart; SFC storage means for storing the sequential function chart created by the SFC creation processing means; a SFC display screen; and SFC display processing means for causing the sequential function chart stored in the SFC storage means to be displayed on the SFC display screen, wherein the dialog box information creation processing means creates pieces of the dialog box information, respectively associated with the steps of the sequential function chart stored in the SFC storage means, the program creation processing means creates the machine control program based on the sequential function chart stored in the SFC storage means and the pieces of dialog box information stored in the dialog box information storage means, and the SFC creation processing means creates the sequential function chart based on step start codes and step end codes of the machine control program stored in the machine control program storage means. 5. The machine control program creating device according to claim 4, further comprising:
process chart input means for inputting a process chart showing control steps of the machine and showing a sequence of a plurality of processes, wherein the SFC creation processing means recognizes the respective control steps of the process chart input by the process chart input means as the respective operation cycles of the machine control program, and creates the steps for each of the control steps. 6. The machine control program creating device according to claim 4, wherein:
the SFC storage means stores a step name for each step in addition to the sequential function chart; and the SFC display processing means causes the SFC display screen to display the step name for each step in addition to the sequential function chart. 7. The machine control program creating device according to claim 1, wherein:
the dialog box information includes a drawing that shows an operation type; and the drawing that shows the operation type is displayed on the dialog box display screen. 8. The machine control program creating device according to claim 3, wherein:
the template storage means stores the plurality of templates of the machine control program and template drawings that respectively show operation types corresponding to the plurality of templates; the dialog box information includes the template drawings; and one of the template drawings is displayed on the dialog box display screen. 9. The machine control program creating device according to claim 1, wherein
the machine control program is a machining program for controlling a machine tool that machines a workpiece. | 2,100 |
4,821 | 14,606,525 | 2,142 | A user interface (UI) links additional content and curators of videos by connecting dots with lines to show the connections. The lines can fade out as to not busy the interface. Content may be linked using sidebars, icons, tabs, buttons. When lines are used, lines are depicted on the UI connecting a first video icon to icons of other linked videos or curators that have connections to the first video. When a content icon is selected, a connection opens a new “circle” of content on the UI which can then have connections from the selected content. In this way a user can discover new content that has relevancy to what the user is currently viewing. The lines can time out to clean up the look of the UI. When navigating or swiping the screen the lines can reappear. | 1. A computer device comprising:
at least one computer readable storage medium with instructions executable by a processor; at least one processor configured for accessing the computer readable storage medium to execute the instructions to configure the processor for: presenting on a display a user interface (UI) comprising a current video icon representing a current video input to the display; presenting on the UI, around the current video icon, an arrangement of plural first tier icons, the first tier icons including content icons each representing a respective content related to the current video, and/or at least one curator icon representing a respective curator related to the current video; presenting on the UI at least one second tier icon and at least one line extending from one of the first tier icons to the second tier icon, the second tier icon representing subject matter including content and/or a curator related to content represented by the first tier icon from which the line extends; receiving a user selection of the second tier icon; and responsive to the selection, presenting around the second tier icon plural third tier icons each respectively related to a content or curator related to the subject matter represented by the second tier icon. 2. The device of claim 1, wherein a content icon has a different shape than a curator icon. 3. The device of claim 1, wherein a curator icon represents a provider of content. 4. The device of claim 1, wherein the instructions when executed by the processor configure the processor for:
responsive to the selection of the second tier icon, removing the arrangement of first tier icons from the UI and moving the current video icon. 5. The device of claim 1, wherein the instructions when executed by the processor configure the processor for:
responsive to the selection of the second tier icon, changing video input to the display to content represented by the second tier icon. 6. The device of claim 1, wherein the arrangement of first tier icons defines a circle. 7. The device of claim 1, wherein a content icon includes a rectangle and a curator icon includes a circle. 8. A computer device comprising:
at least one computer readable storage medium that is not a carrier wave and that has instructions executable by a processor to configure the processor to: present on a display a user interface (UI) comprising a current content icon representing a current content input to the display; present an arrangement of plural first tier icons around the current content icon, each first tier icon representing respective subject matter related to the current content; present on the UI at least one second tier icon and at least one line extending from one of the first tier icons to the second tier icon, the second tier icon representing subject matter related to content represented by the first tier icon from which the line extends; receive a user selection of the second tier icon; and responsive to the selection, present around the second tier icon plural third tier icons each respectively related to subject matter in turn related to the subject matter represented by the second tier icon. 9. The device of claim 8, wherein an icon representing a piece of content has a different shape than an icon representing a curator of content. 10. The device of claim 8, wherein an icon representing a curator represents a provider of content. 11. The device of claim 8, wherein the instructions when executed by the processor configure the processor to:
responsive to the selection of the second tier icon, remove the arrangement of first tier icons from the UI and move the current content icon. 12. The device of claim 8, wherein the instructions when executed by the processor configure the processor to:
responsive to the selection of the second tier icon, change video input to the display to content represented by the second tier icon. 13. The device of claim 8, wherein the arrangement of first tier icons defines a circle. 14. The device of claim 8, wherein an icon representing content includes a rectangle and an icon representing a content curator includes a circle. 15. A method comprising:
presenting on a display a user interface (UI) that links additional content and curators of videos by connecting, using lines, first tier icons to show connections to second tier icons also presented on the UI, the first tier icons surrounding a current content icon; removing the lines from the UI after a predetermined period; receiving selection of a second tier icon on the UI; responsive to the selection, opening a new circle of content icons on the UI at least some of which are depicted on the UI as having connections to tertiary icons representing respective subject matter such that a user can discover new content that has relevancy to what the user is currently viewing. 16. The method of claim 15, comprising, after removing the lines, presenting the lines again responsive to navigation of the UI. 17. The method of claim 15, comprising presenting an icon representing a piece of content with a different shape than an icon representing a curator of content. 18. The method of claim 15, comprising:
responsive to the selection of the second tier icon, removing the first tier icons from the UI and moving the current content icon. 19. The method of claim 15, comprising:
responsive to the selection of the second tier icon, changing video input to the display to content represented by the second tier icon. | A user interface (UI) links additional content and curators of videos by connecting dots with lines to show the connections. The lines can fade out as to not busy the interface. Content may be linked using sidebars, icons, tabs, buttons. When lines are used, lines are depicted on the UI connecting a first video icon to icons of other linked videos or curators that have connections to the first video. When a content icon is selected, a connection opens a new “circle” of content on the UI which can then have connections from the selected content. In this way a user can discover new content that has relevancy to what the user is currently viewing. The lines can time out to clean up the look of the UI. When navigating or swiping the screen the lines can reappear.1. A computer device comprising:
at least one computer readable storage medium with instructions executable by a processor; at least one processor configured for accessing the computer readable storage medium to execute the instructions to configure the processor for: presenting on a display a user interface (UI) comprising a current video icon representing a current video input to the display; presenting on the UI, around the current video icon, an arrangement of plural first tier icons, the first tier icons including content icons each representing a respective content related to the current video, and/or at least one curator icon representing a respective curator related to the current video; presenting on the UI at least one second tier icon and at least one line extending from one of the first tier icons to the second tier icon, the second tier icon representing subject matter including content and/or a curator related to content represented by the first tier icon from which the line extends; receiving a user selection of the second tier icon; and responsive to the selection, presenting around the second tier icon plural third tier icons each respectively related to a content or curator related to the subject matter represented by the second tier icon. 2. The device of claim 1, wherein a content icon has a different shape than a curator icon. 3. The device of claim 1, wherein a curator icon represents a provider of content. 4. The device of claim 1, wherein the instructions when executed by the processor configure the processor for:
responsive to the selection of the second tier icon, removing the arrangement of first tier icons from the UI and moving the current video icon. 5. The device of claim 1, wherein the instructions when executed by the processor configure the processor for:
responsive to the selection of the second tier icon, changing video input to the display to content represented by the second tier icon. 6. The device of claim 1, wherein the arrangement of first tier icons defines a circle. 7. The device of claim 1, wherein a content icon includes a rectangle and a curator icon includes a circle. 8. A computer device comprising:
at least one computer readable storage medium that is not a carrier wave and that has instructions executable by a processor to configure the processor to: present on a display a user interface (UI) comprising a current content icon representing a current content input to the display; present an arrangement of plural first tier icons around the current content icon, each first tier icon representing respective subject matter related to the current content; present on the UI at least one second tier icon and at least one line extending from one of the first tier icons to the second tier icon, the second tier icon representing subject matter related to content represented by the first tier icon from which the line extends; receive a user selection of the second tier icon; and responsive to the selection, present around the second tier icon plural third tier icons each respectively related to subject matter in turn related to the subject matter represented by the second tier icon. 9. The device of claim 8, wherein an icon representing a piece of content has a different shape than an icon representing a curator of content. 10. The device of claim 8, wherein an icon representing a curator represents a provider of content. 11. The device of claim 8, wherein the instructions when executed by the processor configure the processor to:
responsive to the selection of the second tier icon, remove the arrangement of first tier icons from the UI and move the current content icon. 12. The device of claim 8, wherein the instructions when executed by the processor configure the processor to:
responsive to the selection of the second tier icon, change video input to the display to content represented by the second tier icon. 13. The device of claim 8, wherein the arrangement of first tier icons defines a circle. 14. The device of claim 8, wherein an icon representing content includes a rectangle and an icon representing a content curator includes a circle. 15. A method comprising:
presenting on a display a user interface (UI) that links additional content and curators of videos by connecting, using lines, first tier icons to show connections to second tier icons also presented on the UI, the first tier icons surrounding a current content icon; removing the lines from the UI after a predetermined period; receiving selection of a second tier icon on the UI; responsive to the selection, opening a new circle of content icons on the UI at least some of which are depicted on the UI as having connections to tertiary icons representing respective subject matter such that a user can discover new content that has relevancy to what the user is currently viewing. 16. The method of claim 15, comprising, after removing the lines, presenting the lines again responsive to navigation of the UI. 17. The method of claim 15, comprising presenting an icon representing a piece of content with a different shape than an icon representing a curator of content. 18. The method of claim 15, comprising:
responsive to the selection of the second tier icon, removing the first tier icons from the UI and moving the current content icon. 19. The method of claim 15, comprising:
responsive to the selection of the second tier icon, changing video input to the display to content represented by the second tier icon. | 2,100 |
4,822 | 13,735,136 | 2,116 | A climate control system includes a blower, a memory device, a user interface device, and a processor. The memory device stores a default value associated with a speed of the blower. The user interface device receives a user input changing the speed of the blower. The processor is in communication with the memory device, the user interface device, and the blower and controls the speed of the blower based at least in part on the default value. The processor determines whether a user input changing the speed of the blower has been received. In response to receiving the user input, the processor defines an adjusted control value based on the user input to replace the default value. | 1. A method comprising:
accessing, from a memory device, a default value associated with a speed of a blower; controlling the speed of the blower based at least in part on the default value; receiving a user input changing the speed of the blower; and in response to receiving the user input, defining, via a computing device, an adjusted control value based on the user input to replace the default value. 2. The method of claim 1, further comprising determining whether to store the adjusted control value in the memory device, and if so, storing the adjusted control value in the memory device. 3. The method of claim 1, wherein the default value and adjusted control value are each associated with an operating voltage of the blower, and wherein controlling the speed of the blower includes controlling the speed of the blower in accordance with the operating voltage. 4. The method of claim 1, further comprising determining an operating stage of the blower. 5. The method of claim 1, wherein accessing the default value includes a first default value associated with first stage of the blower and a second default value associated with a second stage of the blower, and wherein controlling the speed of the blower includes selectively controlling the blower to operate in at least one of a first stage in accordance with the first default value and the second stage in accordance with the second default value. 6. The method of claim 5, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein defining the adjusted control value includes:
defining the first adjusted control value in response to receiving the user input while the blower is in the first stage, and defining the second adjusted control value in response to receiving the user input while the blower is operating in the second stage. 7. The method of claim 5, wherein the first stage includes at least one of an initial stage and a ramp stage, and wherein the second stage includes at least one of the ramp stage and a steady-state stage. 8. The method of claim 1, wherein the user input includes an adjustment margin, and wherein defining the adjusted control value includes defining the adjusted control value based on the default value modified by the adjustment margin. 9. A climate control system comprising:
a blower; a memory device configured to store a default value associated with a speed of the blower; a user interface device configured to receive a user input changing the speed of the blower; a processor in communication with the memory device, the user interface device, and the blower, wherein the processor is configured to control the speed of the blower based at least in part on the default value stored in the memory device, determine whether a user input changing the speed of the blower has been received, and in response to receiving the user input, define an adjusted control value based on the user input to replace the default value. 10. The climate control system of claim 9, wherein the processor is configured to determine whether to store the adjusted control value in the memory device. 11. The climate control system of claim 9, wherein the default value and adjusted control value are each associated with an operating voltage of the blower, and wherein the speed of the blower is controlled in accordance with the operating voltage. 12. The climate control system of claim 9, wherein the default value stored in the memory device includes a first default value and a second default value, and wherein the processor is configured to selectively control the blower to operate in in at least a first stage in accordance with the first default value and a second stage in accordance with the second default value. 13. The climate control system of claim 12, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein the processor is configured to define the first adjusted control value in response to receiving the user input while the blower is in the first stage and the second adjusted control value in response to receiving the user input while the blower is in the second stage. 14. The climate control system of claim 12, wherein the first stage includes at least one of an initial stage and a ramp stage, and wherein the second stage includes at least one of the ramp stage and a steady-state stage. 15. The climate control system of claim 9, wherein the user input includes an adjustment margin, and wherein the processor is configured to define the adjusted control value based on the default value modified by the adjustment margin. 16. A non-transitory computer-readable medium tangibly embodying computer-executable instructions comprising:
accessing, from a memory device, a default value associated with a speed of a blower; controlling the speed of the blower based at least in part on the default value; determining whether a user input changing the speed of the blower has been received; and in response to receiving the user input, defining an adjusted control value based on the user input to replace the default value. 17. The non-transitory computer-readable medium of claim 16, the instructions further comprising determining an operating stage of the blower. 18. The non-transitory computer-readable medium of claim 16, wherein accessing the default value includes a first default value associated with first stage of the blower and a second default value associated with a second stage of the blower, and wherein controlling the speed of the blower includes selectively controlling the blower to operate in at least one of a first stage in accordance with the first default value and the second stage in accordance with the second default value. 19. The non-transitory computer-readable medium of claim 16, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein defining the adjusted control value includes:
defining the first adjusted control value in response to receiving the user input while the blower is in the first stage, and defining the second adjusted control value in response to receiving the user input while the blower is operating in the second stage. 20. The non-transitory computer-readable medium of claim 16, wherein the user input includes an adjustment margin, and wherein defining the adjusted control value includes defining the adjusted control value based on the default value modified by the adjustment margin. | A climate control system includes a blower, a memory device, a user interface device, and a processor. The memory device stores a default value associated with a speed of the blower. The user interface device receives a user input changing the speed of the blower. The processor is in communication with the memory device, the user interface device, and the blower and controls the speed of the blower based at least in part on the default value. The processor determines whether a user input changing the speed of the blower has been received. In response to receiving the user input, the processor defines an adjusted control value based on the user input to replace the default value.1. A method comprising:
accessing, from a memory device, a default value associated with a speed of a blower; controlling the speed of the blower based at least in part on the default value; receiving a user input changing the speed of the blower; and in response to receiving the user input, defining, via a computing device, an adjusted control value based on the user input to replace the default value. 2. The method of claim 1, further comprising determining whether to store the adjusted control value in the memory device, and if so, storing the adjusted control value in the memory device. 3. The method of claim 1, wherein the default value and adjusted control value are each associated with an operating voltage of the blower, and wherein controlling the speed of the blower includes controlling the speed of the blower in accordance with the operating voltage. 4. The method of claim 1, further comprising determining an operating stage of the blower. 5. The method of claim 1, wherein accessing the default value includes a first default value associated with first stage of the blower and a second default value associated with a second stage of the blower, and wherein controlling the speed of the blower includes selectively controlling the blower to operate in at least one of a first stage in accordance with the first default value and the second stage in accordance with the second default value. 6. The method of claim 5, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein defining the adjusted control value includes:
defining the first adjusted control value in response to receiving the user input while the blower is in the first stage, and defining the second adjusted control value in response to receiving the user input while the blower is operating in the second stage. 7. The method of claim 5, wherein the first stage includes at least one of an initial stage and a ramp stage, and wherein the second stage includes at least one of the ramp stage and a steady-state stage. 8. The method of claim 1, wherein the user input includes an adjustment margin, and wherein defining the adjusted control value includes defining the adjusted control value based on the default value modified by the adjustment margin. 9. A climate control system comprising:
a blower; a memory device configured to store a default value associated with a speed of the blower; a user interface device configured to receive a user input changing the speed of the blower; a processor in communication with the memory device, the user interface device, and the blower, wherein the processor is configured to control the speed of the blower based at least in part on the default value stored in the memory device, determine whether a user input changing the speed of the blower has been received, and in response to receiving the user input, define an adjusted control value based on the user input to replace the default value. 10. The climate control system of claim 9, wherein the processor is configured to determine whether to store the adjusted control value in the memory device. 11. The climate control system of claim 9, wherein the default value and adjusted control value are each associated with an operating voltage of the blower, and wherein the speed of the blower is controlled in accordance with the operating voltage. 12. The climate control system of claim 9, wherein the default value stored in the memory device includes a first default value and a second default value, and wherein the processor is configured to selectively control the blower to operate in in at least a first stage in accordance with the first default value and a second stage in accordance with the second default value. 13. The climate control system of claim 12, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein the processor is configured to define the first adjusted control value in response to receiving the user input while the blower is in the first stage and the second adjusted control value in response to receiving the user input while the blower is in the second stage. 14. The climate control system of claim 12, wherein the first stage includes at least one of an initial stage and a ramp stage, and wherein the second stage includes at least one of the ramp stage and a steady-state stage. 15. The climate control system of claim 9, wherein the user input includes an adjustment margin, and wherein the processor is configured to define the adjusted control value based on the default value modified by the adjustment margin. 16. A non-transitory computer-readable medium tangibly embodying computer-executable instructions comprising:
accessing, from a memory device, a default value associated with a speed of a blower; controlling the speed of the blower based at least in part on the default value; determining whether a user input changing the speed of the blower has been received; and in response to receiving the user input, defining an adjusted control value based on the user input to replace the default value. 17. The non-transitory computer-readable medium of claim 16, the instructions further comprising determining an operating stage of the blower. 18. The non-transitory computer-readable medium of claim 16, wherein accessing the default value includes a first default value associated with first stage of the blower and a second default value associated with a second stage of the blower, and wherein controlling the speed of the blower includes selectively controlling the blower to operate in at least one of a first stage in accordance with the first default value and the second stage in accordance with the second default value. 19. The non-transitory computer-readable medium of claim 16, wherein the adjusted control value includes a first adjusted control value and a second adjusted control value, and wherein defining the adjusted control value includes:
defining the first adjusted control value in response to receiving the user input while the blower is in the first stage, and defining the second adjusted control value in response to receiving the user input while the blower is operating in the second stage. 20. The non-transitory computer-readable medium of claim 16, wherein the user input includes an adjustment margin, and wherein defining the adjusted control value includes defining the adjusted control value based on the default value modified by the adjustment margin. | 2,100 |
4,823 | 14,303,802 | 2,126 | An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined. | 1-12. (canceled) 13. A system comprising:
an artificial neural network having an at least one input neuron and an at least one output neuron; and one or more computer processor circuits that are configured to host a bundling application that is configured to:
identify a software component having a first value for a first identification attribute and a second value for a second identification attribute;
generate an input vector derived from the first value and the second value;
load the input vector into the at least one input neuron of the artificial neural network; and
obtain a yielded output vector from the at least one output neuron of the artificial neural network. 14. The system of claim 13, wherein the yielded output vector corresponds to a software bundle of a plurality of software bundles, and wherein the bundling application is further configured to:
determine, based on the yielded output vector, that the software component is associated with the software bundle. 15. The system of claim 13, wherein the software component is associated with a software bundle of a plurality of software bundles, and wherein the bundling application is further configured to:
generate a test output vector derived from the software bundle; compare the yielded output vector with the test output vector; and adjust parameters of the artificial neural network based on the comparison of the yielded output vector with the test output vector. 16. The system of claim 15, wherein the bundling application is further configured to:
identify a second software component having a third value for the first identification attribute and a fourth value for the second identification attribute; generate a second input vector derived from the third value and the fourth value; load the second input vector into the at least one input neuron of the artificial neural network; obtain a second yielded output vector from the at least one output neuron of the artificial neural network, the second yielded output vector corresponding to a second software bundle of the plurality of software bundles; and determine, based on the second yielded output vector, that the second software component is associated with the second software bundle. 17. A computer program comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
identify a software component having a first value for a first identification attribute and a second value for a second identification attribute; generate an input vector derived from the first value and the second value; load the input vector into an at least one input neuron of an artificial neural network; and obtain a yielded output vector from an at least one output neuron of the artificial neural network. 18. The computer program product of claim 17, wherein the yielded output vector corresponds to a software bundle of a plurality of software bundles, and wherein the program instructions are executable by the computer to further cause the computer to:
determine, based on the yielded output vector, that the software component is associated with the software bundle. 19. The computer program product of claim 17, wherein the software component is associated with a software bundle of a plurality of software bundles, and wherein the program instructions are executable by the computer to further cause the computer to:
generate a test output vector derived from the software bundle; compare the yielded output vector with the test output vector; and adjust parameters of the artificial neural network based on the comparison of the yielded output vector with the test output vector. 20. The computer program product of claim 19, wherein the program instructions are executable by the computer to further cause the computer to:
identify a second software component having a third value for the first identification attribute and a fourth value for the second identification attribute; generate a second input vector derived from the third value and the fourth value; load the second input vector into the at least one input neuron of the artificial neural network; obtain a second yielded output vector from the at least one output neuron of the artificial neural network, the second yielded output vector corresponding to a second software bundle of the plurality of software bundles; and determine, based on the second yielded output vector, that the second software component is associated with the second software bundle. | An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined.1-12. (canceled) 13. A system comprising:
an artificial neural network having an at least one input neuron and an at least one output neuron; and one or more computer processor circuits that are configured to host a bundling application that is configured to:
identify a software component having a first value for a first identification attribute and a second value for a second identification attribute;
generate an input vector derived from the first value and the second value;
load the input vector into the at least one input neuron of the artificial neural network; and
obtain a yielded output vector from the at least one output neuron of the artificial neural network. 14. The system of claim 13, wherein the yielded output vector corresponds to a software bundle of a plurality of software bundles, and wherein the bundling application is further configured to:
determine, based on the yielded output vector, that the software component is associated with the software bundle. 15. The system of claim 13, wherein the software component is associated with a software bundle of a plurality of software bundles, and wherein the bundling application is further configured to:
generate a test output vector derived from the software bundle; compare the yielded output vector with the test output vector; and adjust parameters of the artificial neural network based on the comparison of the yielded output vector with the test output vector. 16. The system of claim 15, wherein the bundling application is further configured to:
identify a second software component having a third value for the first identification attribute and a fourth value for the second identification attribute; generate a second input vector derived from the third value and the fourth value; load the second input vector into the at least one input neuron of the artificial neural network; obtain a second yielded output vector from the at least one output neuron of the artificial neural network, the second yielded output vector corresponding to a second software bundle of the plurality of software bundles; and determine, based on the second yielded output vector, that the second software component is associated with the second software bundle. 17. A computer program comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
identify a software component having a first value for a first identification attribute and a second value for a second identification attribute; generate an input vector derived from the first value and the second value; load the input vector into an at least one input neuron of an artificial neural network; and obtain a yielded output vector from an at least one output neuron of the artificial neural network. 18. The computer program product of claim 17, wherein the yielded output vector corresponds to a software bundle of a plurality of software bundles, and wherein the program instructions are executable by the computer to further cause the computer to:
determine, based on the yielded output vector, that the software component is associated with the software bundle. 19. The computer program product of claim 17, wherein the software component is associated with a software bundle of a plurality of software bundles, and wherein the program instructions are executable by the computer to further cause the computer to:
generate a test output vector derived from the software bundle; compare the yielded output vector with the test output vector; and adjust parameters of the artificial neural network based on the comparison of the yielded output vector with the test output vector. 20. The computer program product of claim 19, wherein the program instructions are executable by the computer to further cause the computer to:
identify a second software component having a third value for the first identification attribute and a fourth value for the second identification attribute; generate a second input vector derived from the third value and the fourth value; load the second input vector into the at least one input neuron of the artificial neural network; obtain a second yielded output vector from the at least one output neuron of the artificial neural network, the second yielded output vector corresponding to a second software bundle of the plurality of software bundles; and determine, based on the second yielded output vector, that the second software component is associated with the second software bundle. | 2,100 |
4,824 | 14,107,153 | 2,176 | An editable version of a first web page may be created by first forming a second web page having the first web page as an inline frame. Then an outer frame of the second web page can be created, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame. | 1. A method of providing an editable version of a first web page, comprising:
forming a second web page having the first web page as an inline frame; and creating an outer frame of the second web page, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame. 2. The method of claim 1, wherein the first web page has one or more components and the method further comprises:
creating a configuration node in the inline frame, the configuration node corresponding to one of the components and having an attached data attribute with information about configuration of the corresponding component; adding one or more editing functions to the outer frame of the second web page; and adding a configuration function to the outer frame of the second web page, the configuration function designed to cause a browser rendering the second web page to select all configuration nodes in the inline frame of the second web page and create corresponding component objects in the outer frame of the second web page, the component objects placed exactly over corresponding components in the inline frame, the creation of the corresponding component objects utilizing the information about configuration of the corresponding components in the attached data attributes of the configuration nodes in the inline frame. 3. The method of claim 1, wherein the forming of the second web page does not involve modification or injection of scripts or style sheet pieces in the first web page as it is loaded into the inline frame. 4. The method of claim 2, wherein the data attribute contains a string representation of a JavaScript object notation (JSON) object containing information about configuration of the corresponding component. 5. The method of claim 2, wherein the data attribute includes a path for the corresponding component. 6. The method of claim 2, wherein the data attribute includes editing dialog preferences for the corresponding component. 7. The method of claim 2, wherein the data attribute includes user interaction permissions of the corresponding component. 8. A method of executing a browser to edit a first web page, the method comprising:
loading a second web page into a browser, the second web page having an inline frame and an outer frame, the inline frame containing the first web page, the outer frame containing one or more editing functions and a configuration function; executing the configuration function, causing a component object to be created in the outer frame for each configuration node in the inline frame over a corresponding component in the inline frame; rendering the inline frame; rendering the outer frame over the inline frame; receiving user interaction selecting a component object of the rendered outer frame; receiving user interaction selecting an editing function in the rendered outer frame; and causing editing of the selected component object in accordance with the selected editing function, the editing causing modification of the component object in the outer frame without affecting a corresponding component in the inline frame. 9. The method of claim 8, wherein the inline frame further contains one or more configuration nodes, the one or more configuration nodes each having an attached data attribute with information about configuration of a corresponding component; and
wherein the creating of the component object in the outer frame for each configuration node in the inline frame is performed using the information about configuration of corresponding components in the attached data attributes of the one or more configuration nodes. 10. The method of claim 7, wherein the causing editing further does not affect a corresponding configuration node in the inline frame. 11. The method of claim 9, further comprising adding a reference to a corresponding configuration node in the inner frame to each component object in the outer frame. 12. The method of claim 9, wherein the executing the configuration function includes, for each configuration node in the inline frame, determining a height, width, and offset of a corresponding component and creating the corresponding component object in the outer frame at the same height, width, and offset. 13. An web content management server comprising:
a processor; a memory; a content repository containing a first web page; a web content management module executable by the processor and configured to:
form a second web page having the first web page as an inline frame; and
create an outer frame of the second web page, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame. 14. The web content management server of claim 13, wherein the first web page has one or more components and the web content management module is further configured to:
create a configuration node in the inline frame, the configuration node corresponding to one of the components and having an attached data attribute with information about configuration of the corresponding component; add one or more editing functions to the outer frame of the second web page; and add a configuration function to the outer frame of the second web page, the configuration function designed to cause a browser rendering the second web page to select all configuration nodes in the inline frame of the second web page and create corresponding component objects in the outer frame of the second web page, the component objects placed exactly over corresponding components in the inline frame, the creation of the corresponding component objects utilizing the information about configuration of the corresponding components in the attached data attributes of the configuration nodes in the inline frame. 15. The web content management server of claim 13, wherein the forming of the second web page does not involve modification or injection of scripts or style sheet pieces in the first web page as it is loaded into the inline frame. 16. The web content management server of claim 14, wherein the data attribute contains a string representation of a JavaScript object notation (JSON) object containing information about configuration of the corresponding component. 17. The web content management server of claim 14, wherein the data attribute includes a path for the corresponding component. 18. The web content management server of claim 14, wherein the data attribute includes editing dialog preferences for the corresponding component. 19. The web content management server of claim 14, wherein the data attribute includes user interaction permissions of the corresponding component. 20. The web content management server of claim 13, wherein the web content management server is in communication with a browser configured to:
load a second web page, the second web page having an inline frame and an outer frame, the inline frame containing the first web page, the outer frame containing one or more editing functions and a configuration function; execute the configuration function, causing a component object to be created in the outer frame for each configuration node in the inline frame over a corresponding component in the inline frame; render the inline frame; render the outer frame over the inline frame; receive user interaction selecting a component object of the rendered outer frame; receive user interaction selecting an editing function in the rendered outer frame; and cause editing of the selected component object in accordance with the selected editing function, the editing causing modification of the component object in the outer frame without affecting a corresponding component in the inline frame. | An editable version of a first web page may be created by first forming a second web page having the first web page as an inline frame. Then an outer frame of the second web page can be created, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame.1. A method of providing an editable version of a first web page, comprising:
forming a second web page having the first web page as an inline frame; and creating an outer frame of the second web page, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame. 2. The method of claim 1, wherein the first web page has one or more components and the method further comprises:
creating a configuration node in the inline frame, the configuration node corresponding to one of the components and having an attached data attribute with information about configuration of the corresponding component; adding one or more editing functions to the outer frame of the second web page; and adding a configuration function to the outer frame of the second web page, the configuration function designed to cause a browser rendering the second web page to select all configuration nodes in the inline frame of the second web page and create corresponding component objects in the outer frame of the second web page, the component objects placed exactly over corresponding components in the inline frame, the creation of the corresponding component objects utilizing the information about configuration of the corresponding components in the attached data attributes of the configuration nodes in the inline frame. 3. The method of claim 1, wherein the forming of the second web page does not involve modification or injection of scripts or style sheet pieces in the first web page as it is loaded into the inline frame. 4. The method of claim 2, wherein the data attribute contains a string representation of a JavaScript object notation (JSON) object containing information about configuration of the corresponding component. 5. The method of claim 2, wherein the data attribute includes a path for the corresponding component. 6. The method of claim 2, wherein the data attribute includes editing dialog preferences for the corresponding component. 7. The method of claim 2, wherein the data attribute includes user interaction permissions of the corresponding component. 8. A method of executing a browser to edit a first web page, the method comprising:
loading a second web page into a browser, the second web page having an inline frame and an outer frame, the inline frame containing the first web page, the outer frame containing one or more editing functions and a configuration function; executing the configuration function, causing a component object to be created in the outer frame for each configuration node in the inline frame over a corresponding component in the inline frame; rendering the inline frame; rendering the outer frame over the inline frame; receiving user interaction selecting a component object of the rendered outer frame; receiving user interaction selecting an editing function in the rendered outer frame; and causing editing of the selected component object in accordance with the selected editing function, the editing causing modification of the component object in the outer frame without affecting a corresponding component in the inline frame. 9. The method of claim 8, wherein the inline frame further contains one or more configuration nodes, the one or more configuration nodes each having an attached data attribute with information about configuration of a corresponding component; and
wherein the creating of the component object in the outer frame for each configuration node in the inline frame is performed using the information about configuration of corresponding components in the attached data attributes of the one or more configuration nodes. 10. The method of claim 7, wherein the causing editing further does not affect a corresponding configuration node in the inline frame. 11. The method of claim 9, further comprising adding a reference to a corresponding configuration node in the inner frame to each component object in the outer frame. 12. The method of claim 9, wherein the executing the configuration function includes, for each configuration node in the inline frame, determining a height, width, and offset of a corresponding component and creating the corresponding component object in the outer frame at the same height, width, and offset. 13. An web content management server comprising:
a processor; a memory; a content repository containing a first web page; a web content management module executable by the processor and configured to:
form a second web page having the first web page as an inline frame; and
create an outer frame of the second web page, the outer frame designed to cause a browser rendering the second web page to create objects in the outer frame placed over corresponding objects in the first web page in the inline frame such that user attempts at interaction with the corresponding objects in the first web page are intercepted by the objects in the outer frame. 14. The web content management server of claim 13, wherein the first web page has one or more components and the web content management module is further configured to:
create a configuration node in the inline frame, the configuration node corresponding to one of the components and having an attached data attribute with information about configuration of the corresponding component; add one or more editing functions to the outer frame of the second web page; and add a configuration function to the outer frame of the second web page, the configuration function designed to cause a browser rendering the second web page to select all configuration nodes in the inline frame of the second web page and create corresponding component objects in the outer frame of the second web page, the component objects placed exactly over corresponding components in the inline frame, the creation of the corresponding component objects utilizing the information about configuration of the corresponding components in the attached data attributes of the configuration nodes in the inline frame. 15. The web content management server of claim 13, wherein the forming of the second web page does not involve modification or injection of scripts or style sheet pieces in the first web page as it is loaded into the inline frame. 16. The web content management server of claim 14, wherein the data attribute contains a string representation of a JavaScript object notation (JSON) object containing information about configuration of the corresponding component. 17. The web content management server of claim 14, wherein the data attribute includes a path for the corresponding component. 18. The web content management server of claim 14, wherein the data attribute includes editing dialog preferences for the corresponding component. 19. The web content management server of claim 14, wherein the data attribute includes user interaction permissions of the corresponding component. 20. The web content management server of claim 13, wherein the web content management server is in communication with a browser configured to:
load a second web page, the second web page having an inline frame and an outer frame, the inline frame containing the first web page, the outer frame containing one or more editing functions and a configuration function; execute the configuration function, causing a component object to be created in the outer frame for each configuration node in the inline frame over a corresponding component in the inline frame; render the inline frame; render the outer frame over the inline frame; receive user interaction selecting a component object of the rendered outer frame; receive user interaction selecting an editing function in the rendered outer frame; and cause editing of the selected component object in accordance with the selected editing function, the editing causing modification of the component object in the outer frame without affecting a corresponding component in the inline frame. | 2,100 |
4,825 | 12,533,763 | 2,159 | An exemplary embodiment of the present invention provides a method of receiving Website content. The method includes generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries. The method includes providing the relevant cluster types included in the user profile to a selected Website, wherein the cluster type sent to the Website is used by the Website at least in part to determine the content provided by the Website. | 1. A method of receiving Website content, comprising:
generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries; and providing the cluster type included in the user profile to a selected Website, wherein the cluster type provided to the Website is used by the Website, at least in part to determine content provided by the Website. 2. The method of claim 1, further comprising determining a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Website. 3. The method of claim 1, wherein each of the cluster types in the list of cluster types corresponds to a list of Websites and a corresponding list of words that relate to content available on the Website. 4. The method of claim 1, wherein generating the user profile comprises obtaining a search term during a search query and identifying the cluster type associated with the search term. 5. The method of claim 4, wherein identifying the cluster type associated with the search term comprises:
generating a bag of words based on the search term; and identifying the cluster type associated with the bag of words. 6. The method of claim 5, wherein generating the bag of words based on the search term comprises:
performing an additional search query using the search term; obtaining words from a Website identified via the search query; and adding the words to the bag of words. 7. The method of claim 1, wherein generating the user profile comprises:
adding the cluster type to the user profile; and adding a time factor associated with the cluster type to the user profile. 8. A computer system, comprising:
a processor that is adapted to execute machine-readable instructions; a storage device that is adapted to store data, the data comprising a user profile that includes a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries performed from a plurality of user IDs across a plurality of Websites; and a memory device that stores instructions that are executable by the processor, the instructions comprising:
an Internet browser configured to access a selected Web site over a network interface and receive Web content corresponding to the cluster type sent from the computer system to the selected Web site;
a profile generator that adds the cluster type to the user profile based on search queries performed from the user ID; and
a cluster type comparator that sends the cluster type from the user profile to a selected Web page. 9. The computer system of claim 8, wherein the cluster type comparator is configured to identify a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Web site. 10. The computer system of claim 8, wherein the instructions comprise a bag-of-words generator that:
receives a search term used in a search query performed from the user ID; performs a new search query using the search term to identify a second Website; and adds word from the second Website to a bag of words. 11. The computer system of claim 10, wherein the profile generator is configured to add the cluster type to the user profile that corresponds with the bag of words. 12. The computer system of claim 8, wherein the profile generator is configured to add time stamps to the user profile, the time stamps corresponding to a date, time, or both, that the cluster type was added to the user profile. 13. The computer system of claim 8, wherein the profile generator is configured to add frequency indicators to the user profile, the frequency indicators corresponding to a number of times that each cluster type was added to the user profile. 14. The computer system of claim 8, wherein the list of cluster types is determined via at least one of clustering, co-clustering, or information-theoretic co-clustering. 15. The computer system of claim 9, wherein the instructions comprise a cluster-type evaluator adapted to rank the matching cluster types according to a magnitude of user interest, a length of time that has elapsed since the matching cluster type was added to the user profile, or both. 16. A tangible, computer-readable medium, comprising code configured to direct a processor to:
access a selected Web page; analyze a list of clusters to identify a first list of cluster types corresponding with the selected Web page; analyze a user profile comprising a second list of cluster types to identify a matching cluster type that is common to both the first list and the second list; and send the matching cluster type to the selected Web page. 17. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a magnitude of user interest. 18. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a length of time that has elapsed since the matching cluster type was most recently updated in the user profile. 19. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to add the cluster type to the second list of cluster types included in the user profile based on search queries performed from a user ID. 20. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to:
receive a search term used in a search query performed from the user ID; perform a new search query using the search term to identify a Website; and add words from the Website to a bag of words. | An exemplary embodiment of the present invention provides a method of receiving Website content. The method includes generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries. The method includes providing the relevant cluster types included in the user profile to a selected Website, wherein the cluster type sent to the Website is used by the Website at least in part to determine the content provided by the Website.1. A method of receiving Website content, comprising:
generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries; and providing the cluster type included in the user profile to a selected Website, wherein the cluster type provided to the Website is used by the Website, at least in part to determine content provided by the Website. 2. The method of claim 1, further comprising determining a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Website. 3. The method of claim 1, wherein each of the cluster types in the list of cluster types corresponds to a list of Websites and a corresponding list of words that relate to content available on the Website. 4. The method of claim 1, wherein generating the user profile comprises obtaining a search term during a search query and identifying the cluster type associated with the search term. 5. The method of claim 4, wherein identifying the cluster type associated with the search term comprises:
generating a bag of words based on the search term; and identifying the cluster type associated with the bag of words. 6. The method of claim 5, wherein generating the bag of words based on the search term comprises:
performing an additional search query using the search term; obtaining words from a Website identified via the search query; and adding the words to the bag of words. 7. The method of claim 1, wherein generating the user profile comprises:
adding the cluster type to the user profile; and adding a time factor associated with the cluster type to the user profile. 8. A computer system, comprising:
a processor that is adapted to execute machine-readable instructions; a storage device that is adapted to store data, the data comprising a user profile that includes a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries performed from a plurality of user IDs across a plurality of Websites; and a memory device that stores instructions that are executable by the processor, the instructions comprising:
an Internet browser configured to access a selected Web site over a network interface and receive Web content corresponding to the cluster type sent from the computer system to the selected Web site;
a profile generator that adds the cluster type to the user profile based on search queries performed from the user ID; and
a cluster type comparator that sends the cluster type from the user profile to a selected Web page. 9. The computer system of claim 8, wherein the cluster type comparator is configured to identify a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Web site. 10. The computer system of claim 8, wherein the instructions comprise a bag-of-words generator that:
receives a search term used in a search query performed from the user ID; performs a new search query using the search term to identify a second Website; and adds word from the second Website to a bag of words. 11. The computer system of claim 10, wherein the profile generator is configured to add the cluster type to the user profile that corresponds with the bag of words. 12. The computer system of claim 8, wherein the profile generator is configured to add time stamps to the user profile, the time stamps corresponding to a date, time, or both, that the cluster type was added to the user profile. 13. The computer system of claim 8, wherein the profile generator is configured to add frequency indicators to the user profile, the frequency indicators corresponding to a number of times that each cluster type was added to the user profile. 14. The computer system of claim 8, wherein the list of cluster types is determined via at least one of clustering, co-clustering, or information-theoretic co-clustering. 15. The computer system of claim 9, wherein the instructions comprise a cluster-type evaluator adapted to rank the matching cluster types according to a magnitude of user interest, a length of time that has elapsed since the matching cluster type was added to the user profile, or both. 16. A tangible, computer-readable medium, comprising code configured to direct a processor to:
access a selected Web page; analyze a list of clusters to identify a first list of cluster types corresponding with the selected Web page; analyze a user profile comprising a second list of cluster types to identify a matching cluster type that is common to both the first list and the second list; and send the matching cluster type to the selected Web page. 17. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a magnitude of user interest. 18. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a length of time that has elapsed since the matching cluster type was most recently updated in the user profile. 19. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to add the cluster type to the second list of cluster types included in the user profile based on search queries performed from a user ID. 20. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to:
receive a search term used in a search query performed from the user ID; perform a new search query using the search term to identify a Website; and add words from the Website to a bag of words. | 2,100 |
4,826 | 14,071,529 | 2,139 | A request is received to perform a point in time copy operation from a source volume to a space efficient target volume. A controller copies data stored in a group of data storage units, from the source volume to a non-volatile storage, to preserve the point in time copy operation. A background process asynchronously copies the data from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. | 1. A method, comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 2. The method of claim 1, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 3. The method of claim 1, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the method further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 4. The method of claim 1, the method further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 5. The method of claim 4, the method further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 6. The method of claim 1, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 7-20. (canceled) | A request is received to perform a point in time copy operation from a source volume to a space efficient target volume. A controller copies data stored in a group of data storage units, from the source volume to a non-volatile storage, to preserve the point in time copy operation. A background process asynchronously copies the data from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume.1. A method, comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 2. The method of claim 1, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 3. The method of claim 1, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the method further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 4. The method of claim 1, the method further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 5. The method of claim 4, the method further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 6. The method of claim 1, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 7-20. (canceled) | 2,100 |
4,827 | 13,759,935 | 2,139 | A request is received to perform a point in time copy operation from a source volume to a space efficient target volume. A controller copies data stored in a group of data storage units, from the source volume to a non-volatile storage, to preserve the point in time copy operation. A background process asynchronously copies the data from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. | 1. A method, comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 2. The method of claim 1, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 3. The method of claim 1, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the method further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 4. The method of claim 1, the method further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 5. The method of claim 4, the method further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 6. The method of claim 1, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 7. A system, comprising:
a memory; and a processor coupled to the memory, wherein the processor performs operations, the operations comprising: receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 8. The system of claim 7, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 9. The system of claim 7, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the operations further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 10. The system of claim 7, the operations further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 11. The system of claim 10, the operations further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 12. The system of claim 7, wherein the data storage units correspond to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 13. A computer program product, the computer program product comprising a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured to perform operations on a controller, the operations comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 14. The computer program product of claim 13, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 15. The computer program product of claim 13, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the operations further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 16. The computer program product of claim 13, the operations further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 17. The computer program product of claim 16, the operations further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 18. The computer program product of claim 13, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 19. A storage controller controlling a source volume and a space efficient target volume, the storage controller, comprising:
a non-volatile storage; a processor coupled to the non-volatile storage, wherein the processor performs operations, the operations comprising: receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 20. The storage controller of claim 19, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. | A request is received to perform a point in time copy operation from a source volume to a space efficient target volume. A controller copies data stored in a group of data storage units, from the source volume to a non-volatile storage, to preserve the point in time copy operation. A background process asynchronously copies the data from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume.1. A method, comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 2. The method of claim 1, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 3. The method of claim 1, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the method further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 4. The method of claim 1, the method further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 5. The method of claim 4, the method further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 6. The method of claim 1, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 7. A system, comprising:
a memory; and a processor coupled to the memory, wherein the processor performs operations, the operations comprising: receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 8. The system of claim 7, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 9. The system of claim 7, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the operations further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 10. The system of claim 7, the operations further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 11. The system of claim 10, the operations further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 12. The system of claim 7, wherein the data storage units correspond to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 13. A computer program product, the computer program product comprising a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code configured to perform operations on a controller, the operations comprising:
receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 14. The computer program product of claim 13, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. 15. The computer program product of claim 13, wherein the space efficient target volume is a track space efficient target volume, an extent space efficient target volume, or is based on any other representation of storage that is different from tracks or extents, the operations further comprising:
receiving a request to perform a write operation to a source volume; and in response to determining that the asynchronous copying of the data via the background process is not complete but a corresponding point in time data is present in the non-volatile storage, performing the write operation on the source volume. 16. The computer program product of claim 13, the operations further comprising:
receiving a request to perform a read operation on a selected space efficient target volume; and in response to determining that the asynchronous copying of the data via the background process is complete, responding to the read operation from the space efficient target volume. 17. The computer program product of claim 16, the operations further comprising:
in response to determining that the asynchronous copying of the data via the background process is in progress, determining whether the read operation can be responded to from the non-volatile storage; in response to determining that the read operation can be responded to from the non-volatile storage, responding to the read operation from the non-volatile storage; and in response to determining that the read operation cannot be responded to from the non-volatile storage, responding to the read operation from the source volume corresponding to the selected space efficient target volume. 18. The computer program product of claim 13, wherein the data storage units corresponds to tracks, wherein groups of tracks are copied to the non-volatile storage during source destage intercept, and wherein the asynchronous copying further comprises:
destaging a track from the non-volatile storage to the space efficient target volume; updating a bitmap metadata to indicate that the track has been copied to the space efficient target volume; and demoting the track from the non-volatile storage. 19. A storage controller controlling a source volume and a space efficient target volume, the storage controller, comprising:
a non-volatile storage; a processor coupled to the non-volatile storage, wherein the processor performs operations, the operations comprising: receiving a request to perform a point in time copy operation from a source volume to a space efficient target volume; copying, via a controller, data stored in a group of data storage units, from the source volume to a non-volatile storage to preserve the point in time copy operation; and asynchronously copying the data via a background process from the non-volatile storage to the space efficient target volume to commit a physical point in time copy of the data from the source volume to the target volume. 20. The storage controller of claim 19, wherein the copying from the source volume to the non-volatile storage avoids performing of operations to allocate space in the space efficient target volume before responding to the request that the point in time operation is complete, and wherein the performing of operations to allocate space in the space efficient target volume is performed while asynchronously copying the data via the background process from the non-volatile storage to the space efficient target volume. | 2,100 |
4,828 | 14,165,326 | 2,129 | A method for efficient use of a computing system of parallel processors to perform inversion of geophysical data, or joint inversion of two or more data types. The method includes assigning at least one control processor to control sequence of operations and reduce load imbalance, assigning a group of one or more processors dedicated to updating one or more model parameters, and assigning another group of one or more processors dedicated to forward modeling simulated data. | 1. A method for efficient use of a computing system of parallel processors to update a geophysical model, the method comprising:
assigning at least one control processor to control sequence of operations and to reduce load imbalance between the processors, and assigning a first dedicated processor group of one or more processors to update one or more model parameters in the geophysical model; assigning a second dedicated processor group of one or more processors to simulate forward modeling simulated data; and performing an iterative geophysical model optimization, wherein each iteration comprises:
using the geophysical model to simulate measurement data;
comparing simulated data to measurement data; and
updating the geophysical model to lessen misfit based on the comparison. 2. The method of claim 1, further comprising assigning each processor in the second dedicated processor group to perform an independent simulation of at least a portion of the measurement data. 3. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on a spatial parallelization basis. 4. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on source or receiver location. 5. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on frequency in the measurement data. 6. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on a specific portion of a subsurface region. 7. The method of claim 1, wherein assigning the first dedicated processor group comprises:
assigning the first data type processor group to update one or more model parameters in the geophysical model for a first geophysical data type; and assigning the second data type processor group to update one or more model parameters in the geophysical model for a second geophysical data type. 8. The method of claim 7, wherein the first geophysical data type and the second geophysical data type are different geophysical data types. 9. The method of claim 7, wherein the first geophysical data type and the second geophysical data type are one of controlled-source electromagnetics, seismic data, gravity data, magnetostatic data. 10. The method of claim 1, wherein each model parameter represents a material property of the subsurface region. 11. The method of claim 1, wherein performing an iterative geophysical model optimization further comprises jointly optimizing one or more geophysical model, each model corresponding to a different geophysical data type, and wherein the joint optimization utilizes geophysical measurement data from a survey of each geophysical type. 12. The method of claim 1, wherein the at least one control processor is configured to modify the sequence of forward modeling simulations to lessen total simulation time. 13. A computer system of parallel processors programmed to perform iterative geophysical model optimization, the computer system comprising:
a plurality of processors in communication with each other; memory accessible to the plurality of processor; and a set of instructions which, when executed, are configured to: assign at least one control processor, wherein the at least one control processor is configured to control sequence of operations and to reduce load imbalance between the processors, and assign a first dedicated processor group of plurality of processors to update one or more model parameters in the geophysical model; assign a second dedicated processor group of the plurality of processors to simulate forward modeling simulated data; and perform an iterative geophysical model optimization, wherein each iteration comprises:
accessing a geophysical model in memory;
simulating measurement data;
comparing simulated data to measurement data stored in memory; and
updating the geophysical model to lessen misfit based on the comparison. 14. A method of performing a joint geophysical inversion comprising:
(a) obtaining at least two types of geophysical data; (b) assigning one or more modeling tasks a first processor group in a computer system, wherein each modeling task is associated with the independent simulation of geophysical data in a region of the subsurface and is associated with at least one processor in the first processor group; (c) assigning one or more updating tasks to a second processor group in the computer system, wherein each updating task is associated with the modification of material properties in a geophysical model representing the region of the subsurface; (d) assigning one or more control tasks to a third processor group in the computer system, wherein the one or more control tasks direct the sequence of simulations of geophysical data and modification of material properties; (e) performing one or more simulations based on the geophysical model and the at least two types of geophysical data; (f) updating at least one material property in the geophysical model, wherein the updating is based on comparison of the simulated data and the at least two types of geophysical data. 15. The method of claim 14, wherein first geophysical data type and the second geophysical data type are each one of controlled-source electromagnetics, seismic data, gravity data, and magnetostatic data. 16. The method of claim 14, further comprising the step of repeating steps (b) through (f) to further reduce the misfit between the at least two types of geophysical data and the simulated data. 17. The method of claim 14, wherein step (d) further comprises modifying the sequence of simulations to reduce the total simulation time. 18. The method of claim 14, wherein step (e) performs one or more of finite differences, ray tracing, finite elements, or integral transforms to simulate the data. 19. The method of claim 14, wherein step (f) is performed by one of stochastic inversion, linearized conjugate gradient inversion, or non-linear conjugate gradient inversion. 20. The method of claim 14, wherein step (f) comprises comparing the simulated data with a rock physics model. 21. The method of claim 14, wherein step (e) performs one or more of finite differences, ray tracing, finite elements, or integral transforms to simulate the data. 22. The method of claim 14, wherein step (f) is performed by one of stochastic inversion, linearized conjugate gradient inversion, or non-linear conjugate gradient inversion. | A method for efficient use of a computing system of parallel processors to perform inversion of geophysical data, or joint inversion of two or more data types. The method includes assigning at least one control processor to control sequence of operations and reduce load imbalance, assigning a group of one or more processors dedicated to updating one or more model parameters, and assigning another group of one or more processors dedicated to forward modeling simulated data.1. A method for efficient use of a computing system of parallel processors to update a geophysical model, the method comprising:
assigning at least one control processor to control sequence of operations and to reduce load imbalance between the processors, and assigning a first dedicated processor group of one or more processors to update one or more model parameters in the geophysical model; assigning a second dedicated processor group of one or more processors to simulate forward modeling simulated data; and performing an iterative geophysical model optimization, wherein each iteration comprises:
using the geophysical model to simulate measurement data;
comparing simulated data to measurement data; and
updating the geophysical model to lessen misfit based on the comparison. 2. The method of claim 1, further comprising assigning each processor in the second dedicated processor group to perform an independent simulation of at least a portion of the measurement data. 3. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on a spatial parallelization basis. 4. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on source or receiver location. 5. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on frequency in the measurement data. 6. The method of claim 2, wherein the assigning each processor in the second dedicated processor group is based on a specific portion of a subsurface region. 7. The method of claim 1, wherein assigning the first dedicated processor group comprises:
assigning the first data type processor group to update one or more model parameters in the geophysical model for a first geophysical data type; and assigning the second data type processor group to update one or more model parameters in the geophysical model for a second geophysical data type. 8. The method of claim 7, wherein the first geophysical data type and the second geophysical data type are different geophysical data types. 9. The method of claim 7, wherein the first geophysical data type and the second geophysical data type are one of controlled-source electromagnetics, seismic data, gravity data, magnetostatic data. 10. The method of claim 1, wherein each model parameter represents a material property of the subsurface region. 11. The method of claim 1, wherein performing an iterative geophysical model optimization further comprises jointly optimizing one or more geophysical model, each model corresponding to a different geophysical data type, and wherein the joint optimization utilizes geophysical measurement data from a survey of each geophysical type. 12. The method of claim 1, wherein the at least one control processor is configured to modify the sequence of forward modeling simulations to lessen total simulation time. 13. A computer system of parallel processors programmed to perform iterative geophysical model optimization, the computer system comprising:
a plurality of processors in communication with each other; memory accessible to the plurality of processor; and a set of instructions which, when executed, are configured to: assign at least one control processor, wherein the at least one control processor is configured to control sequence of operations and to reduce load imbalance between the processors, and assign a first dedicated processor group of plurality of processors to update one or more model parameters in the geophysical model; assign a second dedicated processor group of the plurality of processors to simulate forward modeling simulated data; and perform an iterative geophysical model optimization, wherein each iteration comprises:
accessing a geophysical model in memory;
simulating measurement data;
comparing simulated data to measurement data stored in memory; and
updating the geophysical model to lessen misfit based on the comparison. 14. A method of performing a joint geophysical inversion comprising:
(a) obtaining at least two types of geophysical data; (b) assigning one or more modeling tasks a first processor group in a computer system, wherein each modeling task is associated with the independent simulation of geophysical data in a region of the subsurface and is associated with at least one processor in the first processor group; (c) assigning one or more updating tasks to a second processor group in the computer system, wherein each updating task is associated with the modification of material properties in a geophysical model representing the region of the subsurface; (d) assigning one or more control tasks to a third processor group in the computer system, wherein the one or more control tasks direct the sequence of simulations of geophysical data and modification of material properties; (e) performing one or more simulations based on the geophysical model and the at least two types of geophysical data; (f) updating at least one material property in the geophysical model, wherein the updating is based on comparison of the simulated data and the at least two types of geophysical data. 15. The method of claim 14, wherein first geophysical data type and the second geophysical data type are each one of controlled-source electromagnetics, seismic data, gravity data, and magnetostatic data. 16. The method of claim 14, further comprising the step of repeating steps (b) through (f) to further reduce the misfit between the at least two types of geophysical data and the simulated data. 17. The method of claim 14, wherein step (d) further comprises modifying the sequence of simulations to reduce the total simulation time. 18. The method of claim 14, wherein step (e) performs one or more of finite differences, ray tracing, finite elements, or integral transforms to simulate the data. 19. The method of claim 14, wherein step (f) is performed by one of stochastic inversion, linearized conjugate gradient inversion, or non-linear conjugate gradient inversion. 20. The method of claim 14, wherein step (f) comprises comparing the simulated data with a rock physics model. 21. The method of claim 14, wherein step (e) performs one or more of finite differences, ray tracing, finite elements, or integral transforms to simulate the data. 22. The method of claim 14, wherein step (f) is performed by one of stochastic inversion, linearized conjugate gradient inversion, or non-linear conjugate gradient inversion. | 2,100 |
4,829 | 13,851,999 | 2,144 | Computer program products and methods for displaying information relating to one or more digital looseleafs are disclosed. In one embodiment, a computer program product includes a computer usable medium having computer readable instructions embodied therein. The computer readable instructions cause a processor to display of a first table of contents page of a digital looseleaf. In response to receipt of a user selection of a representation of an individual one of the plurality of main sections, a second table of contents page is displayed overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page. In response to receipt of a user input in the edge portion of the first table of contents page, an entirety of the first table of contents page is displayed. | 1. A computer program product comprising:
a computer usable medium having computer readable instructions embodied therein for displaying information relating to one or more digital looseleafs, the computer readable instructions, when executed by a processor, cause the processor to effect the following:
display of a first table of contents page of a digital looseleaf on a computer display, wherein:
the digital looseleaf comprises hierarchically organized content; and
the first table of contents page displays a representation of a plurality of main sections associated with the hierarchically organized content;
in response to receipt of a user selection of a representation of an individual one of the plurality of main sections, display of a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page displays a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and
in response to receipt of a user input in the edge portion of the first table of contents page, display of an entirety of the first table of contents page. 2. The computer program product of claim 1, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, display of a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page displays a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 3. The computer program product of claim 2, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input in the edge portion of the second table of contents page, display of an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 4. The computer program product of claim 1, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of an individual content link, display of an individual content page associated with the individual content link. 5. The computer program product of claim 4, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input, display of highlighted portions of text within one or more content pages. 6. The computer program product of claim 4, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input, display of annotation text entered by a user. 7. The computer program product of claim 1, wherein the computer readable instructions further cause the processor to effect display of updates to one or more digital looseleafs. 8. The computer program product of claim 1, wherein the one or more digital looseleafs are received from a digital looseleaf delivery service. 9. A method in a computer system for displaying information relating to a digital looseleaf, the method comprising:
presenting a first table of contents page of the digital looseleaf, wherein:
the digital looseleaf comprises hierarchically organized content; and
the first table of contents page comprises a representation of a plurality of main sections associated with the hierarchically organized content;
in response to receipt of a user selection of a representation of an individual one of the plurality of main sections, presenting a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page comprises a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and in response to receipt of a user input in the edge portion of the first table of contents page, presenting an entirety of the first table of contents page. 10. The method of claim 9, further comprising, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, presenting a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page comprises a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 11. The method of claim 10, further comprising, in response to receipt of a user input in the edge portion of the second table of contents page, presenting an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 12. The method of claim 9, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and the method further comprises, in response to receipt of a user selection of an individual content link, presenting an individual content page associated with the individual content link. 13. The method of claim 12, further comprising presenting highlighted portions of text within one or more content pages. 14. The method of claim 12, further comprising:
presenting a prompt to a user for requesting a submission of annotation text; and presenting an indication of the submission of annotation text. 15. The method of claim 9, further comprising:
receiving updates regarding one or more digital looseleafs; presenting an indication corresponding to the updates regarding one or more digital looseleafs. 16. The method of claim 9, further comprising receiving one or more digital looseleafs from a digital looseleaf delivery service. 17. A computer program product comprising:
a computer usable medium having computer readable instructions embodied therein for displaying one or more digital looseleafs, the computer readable instructions, when executed by a processor, cause the processor to effect the following:
display of a representation of at least one of the one or more digital looseleafs on a computer display;
display of an update summary of one or more digital looseleafs;
in response to receipt of a user selection of the one or more digital looseleafs, display of a first table of contents page of the selected digital looseleaf, wherein:
the selected digital looseleaf comprises hierarchically organized content; and
the first table of contents page displays a representation of a plurality of main sections associated with the hierarchically organized content;
in response to a user selection of a representation of an individual one of the plurality of main sections, display of a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page displays a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and
in response to a user input in the edge portion of the first table of contents page, display of an entirety of the first table of contents page. 18. The computer program product of claim 17, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, display of a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page displays a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 19. The computer program product of claim 18, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input in the edge portion of the second table of contents page, display of an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 20. The computer program product of claim 17, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of an individual content link, display of an individual content page associated with the individual content link. | Computer program products and methods for displaying information relating to one or more digital looseleafs are disclosed. In one embodiment, a computer program product includes a computer usable medium having computer readable instructions embodied therein. The computer readable instructions cause a processor to display of a first table of contents page of a digital looseleaf. In response to receipt of a user selection of a representation of an individual one of the plurality of main sections, a second table of contents page is displayed overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page. In response to receipt of a user input in the edge portion of the first table of contents page, an entirety of the first table of contents page is displayed.1. A computer program product comprising:
a computer usable medium having computer readable instructions embodied therein for displaying information relating to one or more digital looseleafs, the computer readable instructions, when executed by a processor, cause the processor to effect the following:
display of a first table of contents page of a digital looseleaf on a computer display, wherein:
the digital looseleaf comprises hierarchically organized content; and
the first table of contents page displays a representation of a plurality of main sections associated with the hierarchically organized content;
in response to receipt of a user selection of a representation of an individual one of the plurality of main sections, display of a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page displays a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and
in response to receipt of a user input in the edge portion of the first table of contents page, display of an entirety of the first table of contents page. 2. The computer program product of claim 1, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, display of a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page displays a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 3. The computer program product of claim 2, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input in the edge portion of the second table of contents page, display of an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 4. The computer program product of claim 1, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of an individual content link, display of an individual content page associated with the individual content link. 5. The computer program product of claim 4, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input, display of highlighted portions of text within one or more content pages. 6. The computer program product of claim 4, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input, display of annotation text entered by a user. 7. The computer program product of claim 1, wherein the computer readable instructions further cause the processor to effect display of updates to one or more digital looseleafs. 8. The computer program product of claim 1, wherein the one or more digital looseleafs are received from a digital looseleaf delivery service. 9. A method in a computer system for displaying information relating to a digital looseleaf, the method comprising:
presenting a first table of contents page of the digital looseleaf, wherein:
the digital looseleaf comprises hierarchically organized content; and
the first table of contents page comprises a representation of a plurality of main sections associated with the hierarchically organized content;
in response to receipt of a user selection of a representation of an individual one of the plurality of main sections, presenting a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page comprises a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and in response to receipt of a user input in the edge portion of the first table of contents page, presenting an entirety of the first table of contents page. 10. The method of claim 9, further comprising, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, presenting a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page comprises a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 11. The method of claim 10, further comprising, in response to receipt of a user input in the edge portion of the second table of contents page, presenting an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 12. The method of claim 9, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and the method further comprises, in response to receipt of a user selection of an individual content link, presenting an individual content page associated with the individual content link. 13. The method of claim 12, further comprising presenting highlighted portions of text within one or more content pages. 14. The method of claim 12, further comprising:
presenting a prompt to a user for requesting a submission of annotation text; and presenting an indication of the submission of annotation text. 15. The method of claim 9, further comprising:
receiving updates regarding one or more digital looseleafs; presenting an indication corresponding to the updates regarding one or more digital looseleafs. 16. The method of claim 9, further comprising receiving one or more digital looseleafs from a digital looseleaf delivery service. 17. A computer program product comprising:
a computer usable medium having computer readable instructions embodied therein for displaying one or more digital looseleafs, the computer readable instructions, when executed by a processor, cause the processor to effect the following:
display of a representation of at least one of the one or more digital looseleafs on a computer display;
display of an update summary of one or more digital looseleafs;
in response to receipt of a user selection of the one or more digital looseleafs, display of a first table of contents page of the selected digital looseleaf, wherein:
the selected digital looseleaf comprises hierarchically organized content; and
the first table of contents page displays a representation of a plurality of main sections associated with the hierarchically organized content;
in response to a user selection of a representation of an individual one of the plurality of main sections, display of a second table of contents page overtop the first table of contents page such that an edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the second table of contents page displays a representation of a plurality of first sub-sections associated with the selected representation of the individual one of the plurality of main sections; and
in response to a user input in the edge portion of the first table of contents page, display of an entirety of the first table of contents page. 18. The computer program product of claim 17, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of a representation of an individual one of the plurality of first sub-sections, display of a third table of contents page overtop the second table of contents page such that an edge portion of the second table of contents page is unobstructed by the third table of contents page and the edge portion of the first table of contents page is unobstructed by the second table of contents page, wherein the third table of contents page displays a representation of a plurality of second sub-sections associated with the selected representation of the individual one of the plurality of first sub-sections. 19. The computer program product of claim 18, wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user input in the edge portion of the second table of contents page, display of an entirety of the second table of contents page such that the edge portion of the first table of contents page is unobstructed by the second table of contents page. 20. The computer program product of claim 17, wherein:
one or more of the plurality of main sections, one or more of the plurality of first sub-sections, and/or one or more additional sub-sections of a plurality of additional sub-sections associated with one or more additional table of contents pages are configured as a content link associated with a content page; and wherein the computer readable instructions further cause the processor to effect, in response to receipt of a user selection of an individual content link, display of an individual content page associated with the individual content link. | 2,100 |
4,830 | 14,482,029 | 2,165 | Examples disclosed herein provide systems, methods, and software for indexing attachable applications for computing systems. In one example, a method of attaching an application to a computing system includes identifying an application attach triggering event for the computing system. The method further includes, identifying a storage location for the application based on the application attach triggering event and an application index, and attaching at least one storage volume to the computing system corresponding to the storage location. | 1. A method of attaching an application to a computing system, the method comprising:
in a processing system, identifying an application attach triggering event for the computing system; identifying a storage location for the application based on the application attach triggering event and an application index; and attaching at least one storage volume to the computing system corresponding to the storage location. 2. The method of claim 1 wherein the computing system comprises a physical computing system. 3. The method of claim 2 wherein attaching the at least one storage volume to the computing system comprises mounting the at least one storage volume to the computing system. 4. The method of claim 1 wherein the computing system comprises a virtual machine. 5. The method of claim 4 wherein attaching the at least one storage volume to the computing system comprises mounting the at least one storage volume to the computing system via a hypervisor, the hypervisor configured to execute the virtual machine. 6. The method of claim 1 further comprising:
making the application available for execution on the computing system, wherein making the application available for execution comprises overlaying elements for the application within a file system for the computing system. 7. The method of claim 1 wherein identifying the application attach triggering event comprises receiving a user application selection on the computing system. 8. The method of claim 1 wherein identifying the application attach triggering event comprises receiving a command from an administrator to attach the application to the computing system. 9. A computer apparatus to attach an application to an attachable computing system, the computer apparatus comprising:
processing instructions that direct a computing system, when executed by the computing system, to:
identify an application attach triggering event for the attachable computing system;
identify a storage location for the application based on the application attach triggering event and an application index; and
attach at least one storage volume to the attachable computing system corresponding to the storage location; and
one or more non-transitory computer readable media that store the processing instructions. 10. The computer apparatus of claim 9 wherein the attachable computing system comprises a physical computing system. 11. The computer apparatus of claim 10 wherein the processing instructions to attach the at least one storage volume to the attachable computing system direct the computing system to mount the at least one storage volume to the attachable computing system. 12. The computer apparatus of claim 9 wherein the attachable computing system comprises a virtual machine. 13. The computer apparatus of claim 12 wherein the processing instructions to attach the at least one storage volume to the attachable computing system direct the computing system to mount the at least one storage volume to the attachable computing system via a hypervisor, the hypervisor configured to execute the virtual machine. 14. The computer apparatus of claim 9 wherein the processing instructions further direct the computing system to:
make the application available for execution on the attachable computing system, wherein making the application available for execution comprises overlaying elements for the application within a file system for the attachable computing system. 15. The computer apparatus of claim 9 wherein the processing instructions to identify the application attach triggering event direct the computing system to receive a user application selection on the attachable computing system. 16. The computer apparatus of claim 9 wherein the processing instructions to identify the application attach triggering event direct the computing system to receive a command from an administrator on an administration system to attach the application to the attachable computing system. 17. A computer apparatus to manage an application index, the computer apparatus comprising:
processing instructions that direct a computing system, when executed by the computing system, to:
identify one or more applications stored in one or more attachable storage volumes;
identify storage locations for the one or more applications stored in the one or more attachable storage volumes; and
generate the application index, the application index comprising a data structure configured to associate identifiers for the one or more applications to the storage locations for the one or more applications; and
one or more non-transitory computer readable media that store the processing instructions. 18. The computer apparatus of claim 17 wherein the processing instructions further direct the computing system to:
distribute the application index to one or more attachable computing systems. 19. The computer apparatus of claim 18 wherein the one or more attachable computing systems comprise one or more virtual machines. 20. The computer apparatus of claim 18 wherein the one or more attachable computing systems comprise one or more physical computing systems. | Examples disclosed herein provide systems, methods, and software for indexing attachable applications for computing systems. In one example, a method of attaching an application to a computing system includes identifying an application attach triggering event for the computing system. The method further includes, identifying a storage location for the application based on the application attach triggering event and an application index, and attaching at least one storage volume to the computing system corresponding to the storage location.1. A method of attaching an application to a computing system, the method comprising:
in a processing system, identifying an application attach triggering event for the computing system; identifying a storage location for the application based on the application attach triggering event and an application index; and attaching at least one storage volume to the computing system corresponding to the storage location. 2. The method of claim 1 wherein the computing system comprises a physical computing system. 3. The method of claim 2 wherein attaching the at least one storage volume to the computing system comprises mounting the at least one storage volume to the computing system. 4. The method of claim 1 wherein the computing system comprises a virtual machine. 5. The method of claim 4 wherein attaching the at least one storage volume to the computing system comprises mounting the at least one storage volume to the computing system via a hypervisor, the hypervisor configured to execute the virtual machine. 6. The method of claim 1 further comprising:
making the application available for execution on the computing system, wherein making the application available for execution comprises overlaying elements for the application within a file system for the computing system. 7. The method of claim 1 wherein identifying the application attach triggering event comprises receiving a user application selection on the computing system. 8. The method of claim 1 wherein identifying the application attach triggering event comprises receiving a command from an administrator to attach the application to the computing system. 9. A computer apparatus to attach an application to an attachable computing system, the computer apparatus comprising:
processing instructions that direct a computing system, when executed by the computing system, to:
identify an application attach triggering event for the attachable computing system;
identify a storage location for the application based on the application attach triggering event and an application index; and
attach at least one storage volume to the attachable computing system corresponding to the storage location; and
one or more non-transitory computer readable media that store the processing instructions. 10. The computer apparatus of claim 9 wherein the attachable computing system comprises a physical computing system. 11. The computer apparatus of claim 10 wherein the processing instructions to attach the at least one storage volume to the attachable computing system direct the computing system to mount the at least one storage volume to the attachable computing system. 12. The computer apparatus of claim 9 wherein the attachable computing system comprises a virtual machine. 13. The computer apparatus of claim 12 wherein the processing instructions to attach the at least one storage volume to the attachable computing system direct the computing system to mount the at least one storage volume to the attachable computing system via a hypervisor, the hypervisor configured to execute the virtual machine. 14. The computer apparatus of claim 9 wherein the processing instructions further direct the computing system to:
make the application available for execution on the attachable computing system, wherein making the application available for execution comprises overlaying elements for the application within a file system for the attachable computing system. 15. The computer apparatus of claim 9 wherein the processing instructions to identify the application attach triggering event direct the computing system to receive a user application selection on the attachable computing system. 16. The computer apparatus of claim 9 wherein the processing instructions to identify the application attach triggering event direct the computing system to receive a command from an administrator on an administration system to attach the application to the attachable computing system. 17. A computer apparatus to manage an application index, the computer apparatus comprising:
processing instructions that direct a computing system, when executed by the computing system, to:
identify one or more applications stored in one or more attachable storage volumes;
identify storage locations for the one or more applications stored in the one or more attachable storage volumes; and
generate the application index, the application index comprising a data structure configured to associate identifiers for the one or more applications to the storage locations for the one or more applications; and
one or more non-transitory computer readable media that store the processing instructions. 18. The computer apparatus of claim 17 wherein the processing instructions further direct the computing system to:
distribute the application index to one or more attachable computing systems. 19. The computer apparatus of claim 18 wherein the one or more attachable computing systems comprise one or more virtual machines. 20. The computer apparatus of claim 18 wherein the one or more attachable computing systems comprise one or more physical computing systems. | 2,100 |
4,831 | 14,071,028 | 2,174 | In one embodiment, a method includes receiving a touch input within a particular region of a display area of the computing device. The display area presents a user interface (UI) including a number of views organized in a hierarchy. One or more of the views has a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views. Each of the views corresponds to one or more regions of the display area. One or more of the gesture recognizers has one or more intervention conditions. A particular one of the views is a default view to process the touch input. The method also includes evaluating the intervention conditions to identify a particular one of the views from among the number of views to process the touch input. | 1. A method comprising:
by a computing device, receiving a touch input within a particular region of a display area of the computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input; by the computing device, evaluating the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input; by the computing device, retargeting processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and by the computing device, processing the touch input through the gesture recognizer of the identified view. 2. The method of claim 1, further comprising:
by the computing device, determining one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 3. The method of claim 2, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 4. The method of claim 1, wherein the particular view is a parent view of the default view. 5. The method of claim 1, wherein the evaluation of the intervention conditions comprises returning a Boolean result for each intervention condition. 6. The method of claim 5, wherein the evaluation further comprises identifying the particular one of the views based at least in part on the Boolean result being true for a particular intervention condition. 7. The method of claim 1, wherein:
at least one of the intervention conditions comprises determining whether the UI is in a full view mode; and processing the touch input comprises dismissing an object being displayed. 8. The method of claim 1, wherein:
at least one of the intervention conditions comprises determining whether a list of content objects displayed in the UI is positioned at a top of the list; and processing the touch input comprises dismissing the list of content objects. 9. One or more computer-readable non-transitory storage media embodying software configured when executed to:
receive a touch input within a particular region of a display area of a computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input; evaluate the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input; retarget processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and process the touch input through the gesture recognizer of the identified view. 10. The media of claim 9, wherein the software is further configured to determine one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 11. The media of claim 10, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 12. The media of claim 9, wherein the particular view is a parent view of the default view. 13. The media of claim 9, wherein the software is further configured to return a Boolean result for each intervention condition. 14. The media of claim 13, wherein the software is further configured to identify the particular one of the views based at least in part on the Boolean result being true for a particular intervention condition. 15. The media of claim 9, wherein:
at least one of the intervention conditions comprises determining whether the UI is in a full view mode; and processing the touch input comprises dismissing an object being displayed. 16. The media of claim 9, wherein:
at least one of the intervention conditions comprises determining whether a list of content objects displayed in the UI is positioned at a top of the list; and processing the touch input comprises dismissing the list of content objects. 17. A device comprising:
a processor; and one or more computer-readable non-transitory storage media coupled to the processor and embodying software that:
receive a touch input within a particular region of a display area of a computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input;
evaluate the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input;
retarget processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and
process the touch input through the gesture recognizer of the identified view. 18. The device of claim 17, wherein the software is further configured to determine one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 19. The device of claim 18, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 20. The device of claim 17, wherein the particular view is a parent view of the default view. | In one embodiment, a method includes receiving a touch input within a particular region of a display area of the computing device. The display area presents a user interface (UI) including a number of views organized in a hierarchy. One or more of the views has a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views. Each of the views corresponds to one or more regions of the display area. One or more of the gesture recognizers has one or more intervention conditions. A particular one of the views is a default view to process the touch input. The method also includes evaluating the intervention conditions to identify a particular one of the views from among the number of views to process the touch input.1. A method comprising:
by a computing device, receiving a touch input within a particular region of a display area of the computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input; by the computing device, evaluating the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input; by the computing device, retargeting processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and by the computing device, processing the touch input through the gesture recognizer of the identified view. 2. The method of claim 1, further comprising:
by the computing device, determining one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 3. The method of claim 2, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 4. The method of claim 1, wherein the particular view is a parent view of the default view. 5. The method of claim 1, wherein the evaluation of the intervention conditions comprises returning a Boolean result for each intervention condition. 6. The method of claim 5, wherein the evaluation further comprises identifying the particular one of the views based at least in part on the Boolean result being true for a particular intervention condition. 7. The method of claim 1, wherein:
at least one of the intervention conditions comprises determining whether the UI is in a full view mode; and processing the touch input comprises dismissing an object being displayed. 8. The method of claim 1, wherein:
at least one of the intervention conditions comprises determining whether a list of content objects displayed in the UI is positioned at a top of the list; and processing the touch input comprises dismissing the list of content objects. 9. One or more computer-readable non-transitory storage media embodying software configured when executed to:
receive a touch input within a particular region of a display area of a computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input; evaluate the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input; retarget processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and process the touch input through the gesture recognizer of the identified view. 10. The media of claim 9, wherein the software is further configured to determine one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 11. The media of claim 10, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 12. The media of claim 9, wherein the particular view is a parent view of the default view. 13. The media of claim 9, wherein the software is further configured to return a Boolean result for each intervention condition. 14. The media of claim 13, wherein the software is further configured to identify the particular one of the views based at least in part on the Boolean result being true for a particular intervention condition. 15. The media of claim 9, wherein:
at least one of the intervention conditions comprises determining whether the UI is in a full view mode; and processing the touch input comprises dismissing an object being displayed. 16. The media of claim 9, wherein:
at least one of the intervention conditions comprises determining whether a list of content objects displayed in the UI is positioned at a top of the list; and processing the touch input comprises dismissing the list of content objects. 17. A device comprising:
a processor; and one or more computer-readable non-transitory storage media coupled to the processor and embodying software that:
receive a touch input within a particular region of a display area of a computing device, the display area presenting a user interface (UI) comprising a plurality of views organized in a hierarchy, one or more of the views having a gesture recognizer configured to process a touch input detected within the regions of the display area associated with each of the views, each of the views corresponding to one or more regions of the display area, one or more of the gesture recognizers having one or more intervention conditions, a particular one of the views being a default view to process the touch input;
evaluate the intervention conditions to identify a particular one of the views from among the plurality of views to process the touch input;
retarget processing of the touch input from the gesture recognizer of the default view to the gesture recognizer of the identified view; and
process the touch input through the gesture recognizer of the identified view. 18. The device of claim 17, wherein the software is further configured to determine one or more of eligible views from among the plurality of views, each of the eligible views having one or more corresponding regions of the display area that encompasses the particular region containing the touch input. 19. The device of claim 18, wherein the evaluation is performed in response to detecting the touch input within the corresponding regions of each of the eligible views. 20. The device of claim 17, wherein the particular view is a parent view of the default view. | 2,100 |
4,832 | 14,274,058 | 2,158 | An information handling system matches regular expressions by placing the regular expressions into parent/child relationships. A first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string. The information handling system forms the regular expressions into a graph. The regular expressions are matched against a second string in an order based upon a structure of the graph. A third regular expression is matched against the second string before a fourth regular expression based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. | 1. A method comprising:
placing by an information handling system regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; forming the regular expressions into a graph, the graph containing vertices representing the regular expressions and edges representing the parent/child relationships between the regular expressions; and matching the regular expressions against a second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 2. The method of claim 1, wherein the first regular expression is set as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 3. The method of claim 2, wherein the first regular expression is set as the child of the second regular expression when:
the second regular expression is of the form .*<seq> . . . , where <seq> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the expression may be of any form; and the sequence <seq> is present in the first regular expression in one of the following ways:
<seq> is on a serial section of the first regular expression;
<seq> is on a cyclic, non-branched sequence of states of the first regular expression; or
<seq> is on all paths of a parallel divergence of the first regular expression. 4. The method of claim 2, wherein the first regular expression is set as the child of the second regular expression when:
the second regular expression is of the form ̂<seq1> . . . , where <seq1> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the second regular expression may be of any form; and the first regular expression is of the form ̂<seq2> . . . , where <seq2> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the first regular expression may be of any form. 5. The method of claim 1, wherein the information includes a count of characters explicitly specified in the second regular expression that is matched by the first string. 6. The method of claim 5, further comprising annotating an edge of the edges between a second vertex representing the second regular expression and a first vertex representing the first regular expression with a required number of characters explicitly specified in the second regular expression that must be matched by the second string in order for the second string to be a possible match for the first regular expression. 7. The method of claim 1, further comprising annotating an edge of the edges between a second vertex representing the second regular expression and a first vertex representing the first regular expression with an indication of whether the parent/child relationship between the second regular expression and the first regular expression relationship is a transitive relationship. 8. The method of claim 1, further comprising matching a fifth regular expression against the second string before matching a sixth regular expression against the second string based upon the fifth regular expression having more children on the graph than the sixth regular expression. 9. The method of claim 4, further comprising matching the sixth regular expression against the second string before matching the second regular expression against the second string based upon the sixth regular expression being of the form ̂<seq1> . . . . 10. The method of claim 1, further comprising matching a fifth regular expression against the second string before matching a sixth regular expression against the second string based upon a match between the fifth regular expression and the second string implying a non-match between the second string and a child vertex of the fifth regular expression. 11. The method of claim 1, wherein the information handling system has a plurality of processors, the method further comprising:
creating a work queue for the regular expressions; placing a subset of the regular expressions in the work queue when it is known that the subset needs to be processed; ordering the subset of the regular expressions in the queue based upon the structure of the graph; and selecting by one of the processors a regular expression of the subset of regular expressions from a front of the queue based upon the regular expression not having been marked as an invalid match or an exact match as a result of a previous matching operation. 12. A method comprising:
placing by an information handling system regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; forming the regular expressions into a graph, the graph containing vertices representing the regular expressions and edges representing the parent/child relationships between the regular expressions; and annotating the edges of the graph, wherein an annotation of an edge between a parent vertex representing a parent regular expression and a child vertex representing a child regular expression indicates information about the parent/child relationship, the information comprising a required number of characters explicitly specified in the parent regular expression that must be matched by a second string in order for the second string to be a possible match for the child regular expression. 13. The method of claim 12, further comprising recompiling the graph based upon an addition or deletion of a vertex representing a third regular expression, wherein:
in the case of addition of the vertex, the only addition of edges to the graph in the recompiling is an addition of edges to the vertex; and in the case of deletion of the vertex, the only deletion of edges to the graph in the recompiling is a deletion of edges to the vertex. 14. The method of claim 12, further comprising annotating the edge between the parent vertex and the child vertex with an indication of whether the parent/child relationship between the parent regular expression and the child regular expression relationship is a transitive relationship. 15. The method of claim 12, further comprising matching the regular expressions against a second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 16. The method of claim 12, wherein the first regular expression is set as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 17. An information handling system comprising:
a relationship finder to place regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; a grapher to form the regular expressions into a graph based upon the parent/child relationships, the graph containing vertices representing the regular expressions and edges representing relationships between the regular expressions; and an annotator to annotate edges on the graph with information about the parent/child relationships, the annotations to include an annotation on an edge between a parent regular expression and a child regular expression to indicate a required number of characters explicitly specified in the parent regular expression that must be matched by a second string in order for the second string to be a possible match for the child regular expression. 18. The information handling system of claim 17, further comprising an executor to match the regular expressions against the second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 19. The information handling system of claim 17, wherein the relationship finder is to set the first regular expression as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 20. The information handling system of claim 17, wherein the annotator is to annotate the edges of the graph to indicate whether relationships represented by the edges are transitive relationships. | An information handling system matches regular expressions by placing the regular expressions into parent/child relationships. A first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string. The information handling system forms the regular expressions into a graph. The regular expressions are matched against a second string in an order based upon a structure of the graph. A third regular expression is matched against the second string before a fourth regular expression based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression.1. A method comprising:
placing by an information handling system regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; forming the regular expressions into a graph, the graph containing vertices representing the regular expressions and edges representing the parent/child relationships between the regular expressions; and matching the regular expressions against a second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 2. The method of claim 1, wherein the first regular expression is set as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 3. The method of claim 2, wherein the first regular expression is set as the child of the second regular expression when:
the second regular expression is of the form .*<seq> . . . , where <seq> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the expression may be of any form; and the sequence <seq> is present in the first regular expression in one of the following ways:
<seq> is on a serial section of the first regular expression;
<seq> is on a cyclic, non-branched sequence of states of the first regular expression; or
<seq> is on all paths of a parallel divergence of the first regular expression. 4. The method of claim 2, wherein the first regular expression is set as the child of the second regular expression when:
the second regular expression is of the form ̂<seq1> . . . , where <seq1> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the second regular expression may be of any form; and the first regular expression is of the form ̂<seq2> . . . , where <seq2> represents any sequence of characters of an alphabet and ‘ . . . ’ represents that the remainder of the first regular expression may be of any form. 5. The method of claim 1, wherein the information includes a count of characters explicitly specified in the second regular expression that is matched by the first string. 6. The method of claim 5, further comprising annotating an edge of the edges between a second vertex representing the second regular expression and a first vertex representing the first regular expression with a required number of characters explicitly specified in the second regular expression that must be matched by the second string in order for the second string to be a possible match for the first regular expression. 7. The method of claim 1, further comprising annotating an edge of the edges between a second vertex representing the second regular expression and a first vertex representing the first regular expression with an indication of whether the parent/child relationship between the second regular expression and the first regular expression relationship is a transitive relationship. 8. The method of claim 1, further comprising matching a fifth regular expression against the second string before matching a sixth regular expression against the second string based upon the fifth regular expression having more children on the graph than the sixth regular expression. 9. The method of claim 4, further comprising matching the sixth regular expression against the second string before matching the second regular expression against the second string based upon the sixth regular expression being of the form ̂<seq1> . . . . 10. The method of claim 1, further comprising matching a fifth regular expression against the second string before matching a sixth regular expression against the second string based upon a match between the fifth regular expression and the second string implying a non-match between the second string and a child vertex of the fifth regular expression. 11. The method of claim 1, wherein the information handling system has a plurality of processors, the method further comprising:
creating a work queue for the regular expressions; placing a subset of the regular expressions in the work queue when it is known that the subset needs to be processed; ordering the subset of the regular expressions in the queue based upon the structure of the graph; and selecting by one of the processors a regular expression of the subset of regular expressions from a front of the queue based upon the regular expression not having been marked as an invalid match or an exact match as a result of a previous matching operation. 12. A method comprising:
placing by an information handling system regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; forming the regular expressions into a graph, the graph containing vertices representing the regular expressions and edges representing the parent/child relationships between the regular expressions; and annotating the edges of the graph, wherein an annotation of an edge between a parent vertex representing a parent regular expression and a child vertex representing a child regular expression indicates information about the parent/child relationship, the information comprising a required number of characters explicitly specified in the parent regular expression that must be matched by a second string in order for the second string to be a possible match for the child regular expression. 13. The method of claim 12, further comprising recompiling the graph based upon an addition or deletion of a vertex representing a third regular expression, wherein:
in the case of addition of the vertex, the only addition of edges to the graph in the recompiling is an addition of edges to the vertex; and in the case of deletion of the vertex, the only deletion of edges to the graph in the recompiling is a deletion of edges to the vertex. 14. The method of claim 12, further comprising annotating the edge between the parent vertex and the child vertex with an indication of whether the parent/child relationship between the parent regular expression and the child regular expression relationship is a transitive relationship. 15. The method of claim 12, further comprising matching the regular expressions against a second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 16. The method of claim 12, wherein the first regular expression is set as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 17. An information handling system comprising:
a relationship finder to place regular expressions into parent/child relationships wherein a first regular expression is set as a child of a second regular expression when information about matching the first regular expression against a first string is obtained by matching the second regular expression against the first string; a grapher to form the regular expressions into a graph based upon the parent/child relationships, the graph containing vertices representing the regular expressions and edges representing relationships between the regular expressions; and an annotator to annotate edges on the graph with information about the parent/child relationships, the annotations to include an annotation on an edge between a parent regular expression and a child regular expression to indicate a required number of characters explicitly specified in the parent regular expression that must be matched by a second string in order for the second string to be a possible match for the child regular expression. 18. The information handling system of claim 17, further comprising an executor to match the regular expressions against the second string in an order based upon a structure of the graph, the order comprising matching a third regular expression against the second string before matching a fourth regular expression against the second string based upon a vertex representing the fourth regular expression being a child of a vertex representing the third regular expression. 19. The information handling system of claim 17, wherein the relationship finder is to set the first regular expression as the child of the second regular expression when a non-match between the second regular expression and the first string implies a non-match between the first regular expression and the first string. 20. The information handling system of claim 17, wherein the annotator is to annotate the edges of the graph to indicate whether relationships represented by the edges are transitive relationships. | 2,100 |
4,833 | 12,574,437 | 2,166 | A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information. | 1. A method for presenting a reason that a search topic is popular, the method comprising:
receiving an indication of a search topic that is popular; in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and presenting, to at least one user, the determined summary as a reason that the search topic is popular. 2. The method of claim 1 further comprising creating a list of identified trend-determined reason pairs by repeating the receiving, identifying, and determining for multiple search topics. 3. The method of claim 1 further comprising accessing search popularity information stored in a computer storage medium that includes search topics and reasons, wherein:
a search topic is associated with at least one reason for popularity of the search topic, and the at least one reason for popularity of the search topic is determined by analyzing at least one content feed from an electronic source of published information. 4. The method of claim 3 wherein the search popularity information also includes a category associated with a search topic, the method further comprising:
receiving an indication of a category; accessing the search popularity information to determine a search topic associated with the indicated category; and presenting the search topic associated with the indicated category and the at least one reason for popularity of the search topic. 5. The method of claim 1 further comprising analyzing multiple search queries to identify a search topic that is popular. 6. The method of claim 5 wherein analyzing multiple search queries to identify a search topic that is popular comprises:
determining a number of search queries received during a first predetermined period of time, the search queries identifying a particular entity; determining a number of search queries received during a second predetermined period of time, the search queries identifying the particular entity; comparing the number of search queries received during the first and second predetermined periods of time; and based on the comparison, determining whether a search topic related to the particular entity is popular. 7. The method of claim 1 wherein the multiple articles include articles from at least one of electronic data feeds, news, weblogs, or other online content. 8. The method of claim 7 wherein the electronic data feeds include RSS. 9. The method of claim 1 wherein the multiple articles include data in the form of at least one of audio, video, text, audible text after a text-to-speech conversion, images and animation. 10. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular comprises identifying articles from an electronic source of published information that includes content published less than a threshold number of days prior to the search topic becoming popular. 11. The method of claim 1 wherein presenting, to at least one user, the determined summary as a reason that the search topic is popular comprises presenting, with the search topic that is popular and the determined reason that the search topic is popular, an indication of a time when the reason was determined. 12. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises excluding articles published more than a threshold period of time prior to the search topic becoming popular and excluding articles that are not relevant to the search topic. 13. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises:
receiving multiple content feeds, and selecting a subset of the multiple content feeds that each include an article that was published less than a threshold period of time prior to the search topic becoming popular and that is relevant to the search topic, the selected subset of content feeds being less than all of the multiple content feeds. 14. A system comprising:
at least one computer; and at least one computer-readable medium coupled to the at least one computer having instructions stored thereon which, when executed by the at least one computer, cause the at least one computer to perform operations comprising:
receiving an indication of a search topic that is popular;
in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular;
determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and
presenting, to at least one user, the determined summary as a reason that the search topic is popular. 15. The system of claim 14 wherein the multiple articles include articles from at least one of electronic data feeds, news, weblogs, or other online content. 16. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular comprises identifying articles from an electronic source of published information that includes content published less than a threshold number of days prior to the search topic becoming popular. 17. The system of claim 14 wherein presenting, to at least one user, the determined summary as a reason that the search topic is popular comprises presenting, with the search topic that is popular and the determined reason that the search topic is popular, an indication of a time when the reason was determined. 18. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises excluding articles published more than a threshold period of time prior to the search topic becoming popular and excluding articles that are not relevant to the search topic. 19. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises:
receiving multiple content feeds, and selecting a subset of the multiple content feeds that each include an article that was published less than a threshold period of time prior to the search topic becoming popular and that is relevant to the search topic, the selected subset of content feeds being less than all of the multiple content feeds. 20. At least one computer-readable storage medium encoded with executable instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving an indication of a search topic that is popular; in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and presenting, to at least one user, the determined summary as a reason that the search topic is popular. | A list of “hot topics” may be provided to a user to indicate information that is currently popular. A topic may be deemed popular when a large number of search queries related to the topic are entered by users. A search system may receive and analyze an electronic source of published information to determine a reason for why a particular popular topic is popular. If content related to why a particular popular topic is popular exists in multiple electronic sources of published information, text summarization techniques may be used to determine a reason for why the popular topic is popular by from among the multiple electronic sources of published information.1. A method for presenting a reason that a search topic is popular, the method comprising:
receiving an indication of a search topic that is popular; in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and presenting, to at least one user, the determined summary as a reason that the search topic is popular. 2. The method of claim 1 further comprising creating a list of identified trend-determined reason pairs by repeating the receiving, identifying, and determining for multiple search topics. 3. The method of claim 1 further comprising accessing search popularity information stored in a computer storage medium that includes search topics and reasons, wherein:
a search topic is associated with at least one reason for popularity of the search topic, and the at least one reason for popularity of the search topic is determined by analyzing at least one content feed from an electronic source of published information. 4. The method of claim 3 wherein the search popularity information also includes a category associated with a search topic, the method further comprising:
receiving an indication of a category; accessing the search popularity information to determine a search topic associated with the indicated category; and presenting the search topic associated with the indicated category and the at least one reason for popularity of the search topic. 5. The method of claim 1 further comprising analyzing multiple search queries to identify a search topic that is popular. 6. The method of claim 5 wherein analyzing multiple search queries to identify a search topic that is popular comprises:
determining a number of search queries received during a first predetermined period of time, the search queries identifying a particular entity; determining a number of search queries received during a second predetermined period of time, the search queries identifying the particular entity; comparing the number of search queries received during the first and second predetermined periods of time; and based on the comparison, determining whether a search topic related to the particular entity is popular. 7. The method of claim 1 wherein the multiple articles include articles from at least one of electronic data feeds, news, weblogs, or other online content. 8. The method of claim 7 wherein the electronic data feeds include RSS. 9. The method of claim 1 wherein the multiple articles include data in the form of at least one of audio, video, text, audible text after a text-to-speech conversion, images and animation. 10. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular comprises identifying articles from an electronic source of published information that includes content published less than a threshold number of days prior to the search topic becoming popular. 11. The method of claim 1 wherein presenting, to at least one user, the determined summary as a reason that the search topic is popular comprises presenting, with the search topic that is popular and the determined reason that the search topic is popular, an indication of a time when the reason was determined. 12. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises excluding articles published more than a threshold period of time prior to the search topic becoming popular and excluding articles that are not relevant to the search topic. 13. The method of claim 1 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises:
receiving multiple content feeds, and selecting a subset of the multiple content feeds that each include an article that was published less than a threshold period of time prior to the search topic becoming popular and that is relevant to the search topic, the selected subset of content feeds being less than all of the multiple content feeds. 14. A system comprising:
at least one computer; and at least one computer-readable medium coupled to the at least one computer having instructions stored thereon which, when executed by the at least one computer, cause the at least one computer to perform operations comprising:
receiving an indication of a search topic that is popular;
in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular;
determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and
presenting, to at least one user, the determined summary as a reason that the search topic is popular. 15. The system of claim 14 wherein the multiple articles include articles from at least one of electronic data feeds, news, weblogs, or other online content. 16. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular comprises identifying articles from an electronic source of published information that includes content published less than a threshold number of days prior to the search topic becoming popular. 17. The system of claim 14 wherein presenting, to at least one user, the determined summary as a reason that the search topic is popular comprises presenting, with the search topic that is popular and the determined reason that the search topic is popular, an indication of a time when the reason was determined. 18. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises excluding articles published more than a threshold period of time prior to the search topic becoming popular and excluding articles that are not relevant to the search topic. 19. The system of claim 14 wherein identifying, from among multiple articles, the subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular comprises:
receiving multiple content feeds, and selecting a subset of the multiple content feeds that each include an article that was published less than a threshold period of time prior to the search topic becoming popular and that is relevant to the search topic, the selected subset of content feeds being less than all of the multiple content feeds. 20. At least one computer-readable storage medium encoded with executable instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving an indication of a search topic that is popular; in response to receiving the indication of the search topic that is popular, identifying, from among multiple articles, a subset of the multiple articles that were published less than a threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; determining, using at least one processor, a summary of content from the identified subset of the multiple articles that were published less than the threshold period of time prior to the search topic becoming popular and include content that matches the search topic that is popular; and presenting, to at least one user, the determined summary as a reason that the search topic is popular. | 2,100 |
4,834 | 15,027,093 | 2,196 | The present invention discloses an alternative arrangement to wake-on-LAN and which is designed specifically for multi-tenant cloud computing and virtualized server environments. This new arrangement identifies which tenants or applications of a multi-tenant server are idle, and when a tenant or application is identified as idle, it transparently reduces the reserved computational capacity footprint of the application or tenant without shutting down the tenancy or exiting the application. Furthermore, the near-instantaneous resumption of the idle tenant or application is achieved when some external event is detected which relates to the passivated tenant or application. | 1. A method of saving computer resources in a multi-tenanted computer environment in which a plurality of tenants operate within a single JAVA virtual machine, or equivalent, said method comprising the steps of:
(i) monitoring predetermined characteristics of the operation of each tenant; (ii) upon said predetermined characteristics achieving a first predetermined state, or crossing a first predetermined threshold, inactivating the corresponding tenant; and (iii) upon said predetermined characteristics of an inactivated tenant achieving a second predetermined state, or crossing a second predetermined threshold, re-activating the tenant. 2. The method as claimed in claim 1 wherein said predetermined characteristics include a characteristic selected from the class consisting of:
reading from, or writing to, TCP or UDP sockets,
reading from, or writing to, files,
time spent accessing a CPU, and
time spent with a predetermined thread activated. 3. The method as claimed in claim 2 wherein the volume of data read or written is selectable. 4. The method as claimed in claim 2 wherein the duration of the time spent is selectable. 5. The method as claimed in claim 1 wherein a tenant being inactivated involves a step selected from the class of steps consisting of:
suspending the operation of one or more threads or processes of the corresponding tenant,
performing a garbage collection on the heap memory of the corresponding tenant,
reducing the reserved heap memory quota of said corresponding tenant and transferring memory thereby released elsewhere, and
transferring control of monitored characteristic actions from said corresponding tenant. 6. The method as claimed in claim 5 wherein said reserved heap memory released by said garbage collection is transferred to a free pool of heap memory. 7. The method as claimed in claim 5 wherein said reserved heap memory released by said garbage collection is transferred to one or more active tenants. 8. The method as claimed in claim 1 wherein a tenant being re-activated involves a step selected from the class of:
resuming the operation of one or more threads or processes of the corresponding tenant,
increasing the reserved heap memory quota of the re-activated tenant, and
re-assigning control of monitored characteristic actions to the re-activated tenant. 9. The method as claimed in claim 8 wherein the increased memory of said increased reserved heap is transferred from a shared pool of unused heap memory. 10. The method as claimed in claim 8 wherein the increased memory of said increased reserved heap is transferred from the reserved heap memory of one or more other tenants. 11. The method as claimed in claim 10 wherein prior to transferring memory from said one or more other tenants, a garbage collection action is performed on said one or more other tenants. 12. A system for saving computer resources in a multi-tenanted computer environment in which a plurality of tenants operate within a single JAVA virtual machine, or equivalent, said system comprising:
a characteristic monitor to monitor predetermined characteristics of the operation of each tenant; an inactivating actuator connected to said characteristic monitor and operable to inactivate a tenant upon said monitored predetermined characteristics achieving a first predetermined state, or crossing a first predetermined threshold; and a reawakening actuator connected to said characteristic monitor and operable to reactivate said inactivated tenant upon said monitored predetermined characteristics achieving a second predetermined state, or crossing a second predetermined threshold. 13. The system as claimed in claim 12 wherein said predetermined characteristics include a characteristic selected from the class consisting of:
reading from, or writing to, TCP or UDP sockets,
reading from, or writing to, files,
time spent accessing a CPU, and
time spent with a predetermined thread activated. 14. The system as claimed in claim 13 wherein the volume of data read or written is selectable. 15. The system as claimed in claim 13 wherein the duration of the time spent is selectable. 16. The system as claimed in claim 12 wherein said inactivating actuator invokes an action selected from the class of actions consisting of:
suspending the operation of one or more threads or processes of the corresponding tenant,
performing a garbage collection on the heap memory of the corresponding tenant,
reducing the reserved heap memory quota of said corresponding tenant and transferring memory thereby released elsewhere, and
transferring control of monitored characteristic actions from said corresponding tenant. 17. The system as claimed in claim 16 wherein said reserved heap memory released by said garbage collection is transferred to a free pool of heap memory. 18. The system as claimed in claim 16 wherein said reserved heap memory released by said garbage collection is transferred to one or more active tenants. 19. The system as claimed in claim 12 wherein said reawakening actuator involves an action selected from the class of:
resuming the operation of one or more threads or processes of the corresponding tenant,
increasing the reserved heap memory quota of the re-activated tenant, and
re-assigning control of monitored characteristic actions to the re-activated tenant. 20. The system as claimed in claim 19 wherein the increased memory of said increased reserved heap is transferred from a shared pool of unused heap memory. 21. The system as claimed in claim 18 wherein the increased memory of said increased reserved heap is transferred from the reserved heap memory of one or more other tenants. 22. The system as claimed in claim 21 wherein prior to transferring memory from said one or more other tenants, a garbage collection action is performed on said one or more other tenants. | The present invention discloses an alternative arrangement to wake-on-LAN and which is designed specifically for multi-tenant cloud computing and virtualized server environments. This new arrangement identifies which tenants or applications of a multi-tenant server are idle, and when a tenant or application is identified as idle, it transparently reduces the reserved computational capacity footprint of the application or tenant without shutting down the tenancy or exiting the application. Furthermore, the near-instantaneous resumption of the idle tenant or application is achieved when some external event is detected which relates to the passivated tenant or application.1. A method of saving computer resources in a multi-tenanted computer environment in which a plurality of tenants operate within a single JAVA virtual machine, or equivalent, said method comprising the steps of:
(i) monitoring predetermined characteristics of the operation of each tenant; (ii) upon said predetermined characteristics achieving a first predetermined state, or crossing a first predetermined threshold, inactivating the corresponding tenant; and (iii) upon said predetermined characteristics of an inactivated tenant achieving a second predetermined state, or crossing a second predetermined threshold, re-activating the tenant. 2. The method as claimed in claim 1 wherein said predetermined characteristics include a characteristic selected from the class consisting of:
reading from, or writing to, TCP or UDP sockets,
reading from, or writing to, files,
time spent accessing a CPU, and
time spent with a predetermined thread activated. 3. The method as claimed in claim 2 wherein the volume of data read or written is selectable. 4. The method as claimed in claim 2 wherein the duration of the time spent is selectable. 5. The method as claimed in claim 1 wherein a tenant being inactivated involves a step selected from the class of steps consisting of:
suspending the operation of one or more threads or processes of the corresponding tenant,
performing a garbage collection on the heap memory of the corresponding tenant,
reducing the reserved heap memory quota of said corresponding tenant and transferring memory thereby released elsewhere, and
transferring control of monitored characteristic actions from said corresponding tenant. 6. The method as claimed in claim 5 wherein said reserved heap memory released by said garbage collection is transferred to a free pool of heap memory. 7. The method as claimed in claim 5 wherein said reserved heap memory released by said garbage collection is transferred to one or more active tenants. 8. The method as claimed in claim 1 wherein a tenant being re-activated involves a step selected from the class of:
resuming the operation of one or more threads or processes of the corresponding tenant,
increasing the reserved heap memory quota of the re-activated tenant, and
re-assigning control of monitored characteristic actions to the re-activated tenant. 9. The method as claimed in claim 8 wherein the increased memory of said increased reserved heap is transferred from a shared pool of unused heap memory. 10. The method as claimed in claim 8 wherein the increased memory of said increased reserved heap is transferred from the reserved heap memory of one or more other tenants. 11. The method as claimed in claim 10 wherein prior to transferring memory from said one or more other tenants, a garbage collection action is performed on said one or more other tenants. 12. A system for saving computer resources in a multi-tenanted computer environment in which a plurality of tenants operate within a single JAVA virtual machine, or equivalent, said system comprising:
a characteristic monitor to monitor predetermined characteristics of the operation of each tenant; an inactivating actuator connected to said characteristic monitor and operable to inactivate a tenant upon said monitored predetermined characteristics achieving a first predetermined state, or crossing a first predetermined threshold; and a reawakening actuator connected to said characteristic monitor and operable to reactivate said inactivated tenant upon said monitored predetermined characteristics achieving a second predetermined state, or crossing a second predetermined threshold. 13. The system as claimed in claim 12 wherein said predetermined characteristics include a characteristic selected from the class consisting of:
reading from, or writing to, TCP or UDP sockets,
reading from, or writing to, files,
time spent accessing a CPU, and
time spent with a predetermined thread activated. 14. The system as claimed in claim 13 wherein the volume of data read or written is selectable. 15. The system as claimed in claim 13 wherein the duration of the time spent is selectable. 16. The system as claimed in claim 12 wherein said inactivating actuator invokes an action selected from the class of actions consisting of:
suspending the operation of one or more threads or processes of the corresponding tenant,
performing a garbage collection on the heap memory of the corresponding tenant,
reducing the reserved heap memory quota of said corresponding tenant and transferring memory thereby released elsewhere, and
transferring control of monitored characteristic actions from said corresponding tenant. 17. The system as claimed in claim 16 wherein said reserved heap memory released by said garbage collection is transferred to a free pool of heap memory. 18. The system as claimed in claim 16 wherein said reserved heap memory released by said garbage collection is transferred to one or more active tenants. 19. The system as claimed in claim 12 wherein said reawakening actuator involves an action selected from the class of:
resuming the operation of one or more threads or processes of the corresponding tenant,
increasing the reserved heap memory quota of the re-activated tenant, and
re-assigning control of monitored characteristic actions to the re-activated tenant. 20. The system as claimed in claim 19 wherein the increased memory of said increased reserved heap is transferred from a shared pool of unused heap memory. 21. The system as claimed in claim 18 wherein the increased memory of said increased reserved heap is transferred from the reserved heap memory of one or more other tenants. 22. The system as claimed in claim 21 wherein prior to transferring memory from said one or more other tenants, a garbage collection action is performed on said one or more other tenants. | 2,100 |
4,835 | 12,215,220 | 2,125 | Some embodiments of an entitlement model have been presented. In one embodiment, a centralized server distributes copies of an operating system from a software vendor to a set of virtual guests of a virtual host running on a physical computing machine. The centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, whereas the centralized server has access to the software vendor external to the internal network of the customer. The centralized server may interact with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the virtual guests. | 1. A computer-implemented method comprising:
a centralized server distributing copies of an operating system from a software vendor to a plurality of virtual guests of a virtual host running on a physical computing machine, wherein the centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, the centralized server having access to the software vendor external to the internal network of the customer; and the centralized server interacting with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 2. The method of claim 1, further comprising:
managing the plurality of virtual guests and the virtual host from the centralized server. 3. The method of claim 1, further comprising:
the centralized server charging the customer one or more entitlements when a number of copies of the operating system on the plurality of virtual guests exceeds a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 4. The method of claim 1, further comprising:
the centralized server allowing the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license. 5. The method of claim 1, further comprising:
the centralized server receiving updates of the operating system from the software vendor after distributing the copies of the operating system to the plurality of virtual guests; and the centralized server distributing the updates to the plurality of virtual guests. 6. The method of claim 1, wherein the centralized server distributes the copies of the operating system to the plurality of virtual guests responsive to a user request to provision the plurality of virtual guests. 7. The method of claim 1, further comprising the centralized server freeing up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. 8. An apparatus comprising:
an internal network interface to communicably couple to a physical computing machine via an internal network of a customer of a software vendor; a network management module coupled to the internal network, to distribute copies of an operating system from the software vendor to a plurality of virtual guests of a virtual host running on the physical computing machine and to interact with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 9. The apparatus of claim 8, wherein the network management module further manages the plurality of virtual guests and the virtual host. 10. The apparatus of claim 8, wherein the network management module further limits the plurality of virtual guests to a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 11. The apparatus of claim 8, wherein the network management module further allows the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license 12. The apparatus of claim 8, further comprising:
an external network interface to communicably couple to a network external to the internal network of the customer via a secured connection in order to receive updates of the operating system from the software vendor after the copies of the operating system have been distributed to the plurality of virtual guests, wherein the network management module further distributes the updates to the plurality of virtual guests. 13. The apparatus of claim 8, further comprising:
a computer-readable medium accessing device to removably couple to a computer-readable medium to retrieve updates of the operating system from the computer-readable medium after the copies of the operating system have been distributed to the plurality of virtual guests, wherein the network management module further distributes the updates to the plurality of virtual guests. 14. The apparatus of claim 8, wherein the network management module distributes the copies of the operating system to the plurality of virtual guests responsive to a user request to provision the plurality of virtual guests. 15. The apparatus of claim 8, wherein the network management module further frees up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. 16. A system comprising the apparatus of claim 8, further comprising:
the physical computing machine; and the internal network. 17. A computer-readable medium that provides instructions that, when executed by a processor, will cause the processor to perform operations comprising:
distributing copies of an operating system from a software vendor via a centralized server to a plurality of virtual guests of a virtual host running on a physical computing machine, wherein the centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, the centralized server having access to the software vendor external to the internal network of the customer; and interacting with a hypervisor of the physical computing machine via the centralized server to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 18. The computer-readable medium of claim 17, further comprising:
managing the plurality of virtual guests and the virtual host from the centralized server. 19. The computer-readable medium of claim 17, further comprising:
the centralized server charging the customer one or more entitlements when a number of copies of the operating system on the plurality of virtual guests exceeds a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 20. The computer-readable medium of claim 17, further comprising:
allowing the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license. 21. The computer-readable medium of claim 17, further comprising:
receiving updates of the operating system at the centralized server from the software vendor after distributing the copies of the operating system to the plurality of virtual guests; and distributing the updates from the centralized server to the plurality of virtual guests. 22. The computer-readable medium of claim 17, wherein the distributing of the copies of the operating system to the plurality of virtual guests is responsive to a user request to provision the plurality of virtual guests. 23. The computer-readable medium of claim 17, further comprising freeing up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. | Some embodiments of an entitlement model have been presented. In one embodiment, a centralized server distributes copies of an operating system from a software vendor to a set of virtual guests of a virtual host running on a physical computing machine. The centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, whereas the centralized server has access to the software vendor external to the internal network of the customer. The centralized server may interact with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the virtual guests.1. A computer-implemented method comprising:
a centralized server distributing copies of an operating system from a software vendor to a plurality of virtual guests of a virtual host running on a physical computing machine, wherein the centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, the centralized server having access to the software vendor external to the internal network of the customer; and the centralized server interacting with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 2. The method of claim 1, further comprising:
managing the plurality of virtual guests and the virtual host from the centralized server. 3. The method of claim 1, further comprising:
the centralized server charging the customer one or more entitlements when a number of copies of the operating system on the plurality of virtual guests exceeds a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 4. The method of claim 1, further comprising:
the centralized server allowing the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license. 5. The method of claim 1, further comprising:
the centralized server receiving updates of the operating system from the software vendor after distributing the copies of the operating system to the plurality of virtual guests; and the centralized server distributing the updates to the plurality of virtual guests. 6. The method of claim 1, wherein the centralized server distributes the copies of the operating system to the plurality of virtual guests responsive to a user request to provision the plurality of virtual guests. 7. The method of claim 1, further comprising the centralized server freeing up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. 8. An apparatus comprising:
an internal network interface to communicably couple to a physical computing machine via an internal network of a customer of a software vendor; a network management module coupled to the internal network, to distribute copies of an operating system from the software vendor to a plurality of virtual guests of a virtual host running on the physical computing machine and to interact with a hypervisor of the physical computing machine to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 9. The apparatus of claim 8, wherein the network management module further manages the plurality of virtual guests and the virtual host. 10. The apparatus of claim 8, wherein the network management module further limits the plurality of virtual guests to a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 11. The apparatus of claim 8, wherein the network management module further allows the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license 12. The apparatus of claim 8, further comprising:
an external network interface to communicably couple to a network external to the internal network of the customer via a secured connection in order to receive updates of the operating system from the software vendor after the copies of the operating system have been distributed to the plurality of virtual guests, wherein the network management module further distributes the updates to the plurality of virtual guests. 13. The apparatus of claim 8, further comprising:
a computer-readable medium accessing device to removably couple to a computer-readable medium to retrieve updates of the operating system from the computer-readable medium after the copies of the operating system have been distributed to the plurality of virtual guests, wherein the network management module further distributes the updates to the plurality of virtual guests. 14. The apparatus of claim 8, wherein the network management module distributes the copies of the operating system to the plurality of virtual guests responsive to a user request to provision the plurality of virtual guests. 15. The apparatus of claim 8, wherein the network management module further frees up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. 16. A system comprising the apparatus of claim 8, further comprising:
the physical computing machine; and the internal network. 17. A computer-readable medium that provides instructions that, when executed by a processor, will cause the processor to perform operations comprising:
distributing copies of an operating system from a software vendor via a centralized server to a plurality of virtual guests of a virtual host running on a physical computing machine, wherein the centralized server and the physical computing machine are coupled to each other within an internal network of a customer of the software vendor, the centralized server having access to the software vendor external to the internal network of the customer; and interacting with a hypervisor of the physical computing machine via the centralized server to determine what type of license of the operating system the virtual host has and a number of copies of the operating system requested by the plurality of virtual guests. 18. The computer-readable medium of claim 17, further comprising:
managing the plurality of virtual guests and the virtual host from the centralized server. 19. The computer-readable medium of claim 17, further comprising:
the centralized server charging the customer one or more entitlements when a number of copies of the operating system on the plurality of virtual guests exceeds a predetermined number of copies of the operating system if the virtual host has a limited license of the operating system. 20. The computer-readable medium of claim 17, further comprising:
allowing the plurality of virtual guests to have an unlimited number of copies of the operating system if the virtual host has an unlimited license. 21. The computer-readable medium of claim 17, further comprising:
receiving updates of the operating system at the centralized server from the software vendor after distributing the copies of the operating system to the plurality of virtual guests; and distributing the updates from the centralized server to the plurality of virtual guests. 22. The computer-readable medium of claim 17, wherein the distributing of the copies of the operating system to the plurality of virtual guests is responsive to a user request to provision the plurality of virtual guests. 23. The computer-readable medium of claim 17, further comprising freeing up an entitlement of the operating system when one of the plurality of virtual guests is deleted and the virtual host has a limited license. | 2,100 |
4,836 | 15,383,603 | 2,122 | A first user and a second user may exchange messages during a session and the exchanged messages may be processed to suggest resources to the first user. For example, the first user may be a customer service representative assisting a customer, and the suggested resources may include text of a message to send to the customer. The resources may be suggested by computing a semantic representation of the messages in the session, computing a context vector that describes a context of the session, computing a context hash vector from the context vector, and retrieving one or more resources from a data store of resources using the context hash vector. Information about a resource may be presented to the first user to assist the first user in responding to the second user. | 1. A computer-implemented method for presenting information about a resource to a user, the method performed by one or more server computers and comprising:
receiving a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user; computing a message embedding for of message of the plurality of electronic messages with a first neural network, wherein each message embedding represents a corresponding message in a vector space; computing a first context vector by sequentially processing the message embeddings for the plurality of electronic messages, wherein the processing is performed using a second neural network; quantizing the first context vector to obtain a first context hash vector; selecting a first resource from a data store using the first context hash vector and a hash vector for the first resource, wherein (i) the data store comprises a plurality of resources, (ii) each resource of the plurality of resources is associated with a hash vector, (iii) selecting the first resource comprises computing a distance between the first context hash vector and the hash vector for the first resource; and transmitting, during the session, information about the first resource to the first computing device to allow the first user to access the first resource. 2. The computer-implemented method of claim 1, wherein the first user is a customer service representative and the second user is a customer. 3. The computer-implemented method of claim 1, wherein the method further comprises:
receiving a subsequent message between the first user and the second user; computing a subsequent message embedding for the subsequent message; computing a second context vector using the first context vector and the subsequent message embedding of the subsequent message; quantizing the second context vector to obtain a second context hash vector; selecting a second resource from the data store using the second context hash vector and a hash vector for the second resource; and transmitting, during the session, information about the second resource to the first computing device. 4. The computer-implemented method of claim 1, wherein the second neural network is a recurrent neural network or a convolution neural network. 5. The computer-implemented method of claim 1, wherein each element of the first context hash vector comprises a boolean value. 6. The computer-implemented method of claim 1, wherein the first resource comprises text of a message, a document, an image, or a URL. 7. The computer-implemented method of claim 1, wherein the first context hash vector is equal to the hash vector for the first resource. 8. The computer-implemented method of claim 1, wherein the distance is a Hamming distance. 9. A system for presenting information about a resource to a user, the system comprising:
at least one server computer comprising at least one processor and at least one memory, the at least one server computer configured to:
receive, a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user;
compute, a semantic representation of each message of the plurality of electronic messages;
compute, a first context vector by processing the semantic representations for the plurality of electronic messages;
quantize, the first context vector to obtain a first context hash vector;
select a first resource from a data store using the first context hash vector and a hash vector for the first resource, wherein the data store comprises a plurality of resources and each resource of the plurality of resources is associated with a hash vector; and
transmit, during the session, information about the first resource to the first computing device. 10. The system of claim 9, wherein the at least one server computer is configured to:
receive a selection of the first resource by the first user; and cause the first resource to be transmitted to the second user. 11. The system of claim 9, wherein the semantic representation comprises a message embedding. 12. The system of claim 9, wherein the at least one server computer is configured to compute the first context vector using a recurrent neural network with long short-term memory units. 13. The system of claim 9, wherein the at least one server computer is configured to select the first resource using an inverted index. 14. The system of claim 9, wherein the at least one server computer is configured to quantize the first context vector by performing a rotation of the first context vector. 15. The system of claim 9, wherein the first context vector is computed using a neural network and the neural network is trained by minimizing a triplet rank loss function. 16. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising:
receiving a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user; computing a semantic representation of each message of the plurality of electronic messages; computing a context vector by processing the semantic representations for the plurality of electronic messages; quantizing the context vector to obtain a context hash vector; selecting a first resource from a data store using the context hash vector and a hash vector for the first resource, wherein the data store comprises a plurality of resources and each resource of the plurality of resources is associated with a hash vector; and transmitting, during the session, information about the first resource to the first computing device. 17. The one or more non-transitory computer-readable media of claim 16, wherein each element of the context hash vector comprises a boolean value. 18. The one or more non-transitory computer-readable media of claim 16, wherein selecting the first resource from the data store comprises computing a Hamming distance between the context hash vector and the hash vector for the first resource. 19. The one or more non-transitory computer-readable media of claim 16, wherein the semantic representation comprises a message embedding. 20. The one or more non-transitory computer-readable media of claim 16, wherein selecting the first resource comprises using an inverted index. | A first user and a second user may exchange messages during a session and the exchanged messages may be processed to suggest resources to the first user. For example, the first user may be a customer service representative assisting a customer, and the suggested resources may include text of a message to send to the customer. The resources may be suggested by computing a semantic representation of the messages in the session, computing a context vector that describes a context of the session, computing a context hash vector from the context vector, and retrieving one or more resources from a data store of resources using the context hash vector. Information about a resource may be presented to the first user to assist the first user in responding to the second user.1. A computer-implemented method for presenting information about a resource to a user, the method performed by one or more server computers and comprising:
receiving a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user; computing a message embedding for of message of the plurality of electronic messages with a first neural network, wherein each message embedding represents a corresponding message in a vector space; computing a first context vector by sequentially processing the message embeddings for the plurality of electronic messages, wherein the processing is performed using a second neural network; quantizing the first context vector to obtain a first context hash vector; selecting a first resource from a data store using the first context hash vector and a hash vector for the first resource, wherein (i) the data store comprises a plurality of resources, (ii) each resource of the plurality of resources is associated with a hash vector, (iii) selecting the first resource comprises computing a distance between the first context hash vector and the hash vector for the first resource; and transmitting, during the session, information about the first resource to the first computing device to allow the first user to access the first resource. 2. The computer-implemented method of claim 1, wherein the first user is a customer service representative and the second user is a customer. 3. The computer-implemented method of claim 1, wherein the method further comprises:
receiving a subsequent message between the first user and the second user; computing a subsequent message embedding for the subsequent message; computing a second context vector using the first context vector and the subsequent message embedding of the subsequent message; quantizing the second context vector to obtain a second context hash vector; selecting a second resource from the data store using the second context hash vector and a hash vector for the second resource; and transmitting, during the session, information about the second resource to the first computing device. 4. The computer-implemented method of claim 1, wherein the second neural network is a recurrent neural network or a convolution neural network. 5. The computer-implemented method of claim 1, wherein each element of the first context hash vector comprises a boolean value. 6. The computer-implemented method of claim 1, wherein the first resource comprises text of a message, a document, an image, or a URL. 7. The computer-implemented method of claim 1, wherein the first context hash vector is equal to the hash vector for the first resource. 8. The computer-implemented method of claim 1, wherein the distance is a Hamming distance. 9. A system for presenting information about a resource to a user, the system comprising:
at least one server computer comprising at least one processor and at least one memory, the at least one server computer configured to:
receive, a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user;
compute, a semantic representation of each message of the plurality of electronic messages;
compute, a first context vector by processing the semantic representations for the plurality of electronic messages;
quantize, the first context vector to obtain a first context hash vector;
select a first resource from a data store using the first context hash vector and a hash vector for the first resource, wherein the data store comprises a plurality of resources and each resource of the plurality of resources is associated with a hash vector; and
transmit, during the session, information about the first resource to the first computing device. 10. The system of claim 9, wherein the at least one server computer is configured to:
receive a selection of the first resource by the first user; and cause the first resource to be transmitted to the second user. 11. The system of claim 9, wherein the semantic representation comprises a message embedding. 12. The system of claim 9, wherein the at least one server computer is configured to compute the first context vector using a recurrent neural network with long short-term memory units. 13. The system of claim 9, wherein the at least one server computer is configured to select the first resource using an inverted index. 14. The system of claim 9, wherein the at least one server computer is configured to quantize the first context vector by performing a rotation of the first context vector. 15. The system of claim 9, wherein the first context vector is computed using a neural network and the neural network is trained by minimizing a triplet rank loss function. 16. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising:
receiving a plurality of electronic messages during a session between a first computing device of a first user and a second computing device of a second user; computing a semantic representation of each message of the plurality of electronic messages; computing a context vector by processing the semantic representations for the plurality of electronic messages; quantizing the context vector to obtain a context hash vector; selecting a first resource from a data store using the context hash vector and a hash vector for the first resource, wherein the data store comprises a plurality of resources and each resource of the plurality of resources is associated with a hash vector; and transmitting, during the session, information about the first resource to the first computing device. 17. The one or more non-transitory computer-readable media of claim 16, wherein each element of the context hash vector comprises a boolean value. 18. The one or more non-transitory computer-readable media of claim 16, wherein selecting the first resource from the data store comprises computing a Hamming distance between the context hash vector and the hash vector for the first resource. 19. The one or more non-transitory computer-readable media of claim 16, wherein the semantic representation comprises a message embedding. 20. The one or more non-transitory computer-readable media of claim 16, wherein selecting the first resource comprises using an inverted index. | 2,100 |
4,837 | 14,795,614 | 2,122 | Systems and methods may provide traversing data using metadata. In one example, a method may include gathering a textual description of a first object, wherein the textual description includes a word, generating a vector represent the textual description, assigning a first weight value to the word, associating an object space with the word including assigning a second weight value to the word, and associating an object space with the first object. | 1. At least one computer readable storage medium comprising a set of traversal instructions which, if executed by a processor, cause a computer to:
generate a first set of results based on a scope of a requested search and an object space, wherein the object space is to include a first object and a second object arranged according to a relative relationship based on an attribute; generate a user interface including a first adjustment mechanism configured to adjust a scope of the requested search, and a second adjustment mechanism configured to adjust results of a search based on the attribute; and generate a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results is to include the second object. 2. The at least one computer readable storage medium of claim 1, wherein the attribute is to be based on a word included in a first textual description of the first object and a second textual description of the second object. 3. The at least one computer readable storage medium of claim 1, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is to be one of a knob and a scrollable bar. 4. The at least one computer readable storage medium of claim 1, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is to be one of a knob and a scrollable bar. 5. A data traversal apparatus comprising:
a first result module to generate a first set of results based on a scope of a requested search and an object space, wherein the object space includes a first object and a second object arranged according to a relative relationship based on an attribute; an adjustment module to generate a user interface including a first adjustment mechanism configured to adjust a scope of the requested search and a second adjustment mechanism configured to adjust results of a search based on the attribute; and a second result module to generate a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results is to include the second object. 6. The apparatus of claim 5, wherein the attribute is to be based on a word included in a first textual description of the first object and second textual description of the second Object. 7. The apparatus of claim 5, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is to be one of a knob and a scrollable bar. 8. The apparatus of claim 5, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is to be one of a knob and a scrollable bar. 9. A method, comprising:
generating a first set of results based on a scope of a requested search and an object space, wherein the object space includes a first object and a second object arranged according to a relative relationship based on an attribute; generating a user interface including a first adjustment mechanism configured to adjust a scope of the requested search, and a second adjustment mechanism configured to adjust results of a search based on the attribute; and generating a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results includes the second object. 10. The method of claim 9, wherein the attribute is based on a word included in a first textual description of the first object and a second textual description of the second object. 11. The method of claim 9, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is one of a knob and a scrollable bar. 12. The method of claim 9, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is one of a knob and a scrollable bar. | Systems and methods may provide traversing data using metadata. In one example, a method may include gathering a textual description of a first object, wherein the textual description includes a word, generating a vector represent the textual description, assigning a first weight value to the word, associating an object space with the word including assigning a second weight value to the word, and associating an object space with the first object.1. At least one computer readable storage medium comprising a set of traversal instructions which, if executed by a processor, cause a computer to:
generate a first set of results based on a scope of a requested search and an object space, wherein the object space is to include a first object and a second object arranged according to a relative relationship based on an attribute; generate a user interface including a first adjustment mechanism configured to adjust a scope of the requested search, and a second adjustment mechanism configured to adjust results of a search based on the attribute; and generate a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results is to include the second object. 2. The at least one computer readable storage medium of claim 1, wherein the attribute is to be based on a word included in a first textual description of the first object and a second textual description of the second object. 3. The at least one computer readable storage medium of claim 1, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is to be one of a knob and a scrollable bar. 4. The at least one computer readable storage medium of claim 1, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is to be one of a knob and a scrollable bar. 5. A data traversal apparatus comprising:
a first result module to generate a first set of results based on a scope of a requested search and an object space, wherein the object space includes a first object and a second object arranged according to a relative relationship based on an attribute; an adjustment module to generate a user interface including a first adjustment mechanism configured to adjust a scope of the requested search and a second adjustment mechanism configured to adjust results of a search based on the attribute; and a second result module to generate a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results is to include the second object. 6. The apparatus of claim 5, wherein the attribute is to be based on a word included in a first textual description of the first object and second textual description of the second Object. 7. The apparatus of claim 5, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is to be one of a knob and a scrollable bar. 8. The apparatus of claim 5, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is to be one of a knob and a scrollable bar. 9. A method, comprising:
generating a first set of results based on a scope of a requested search and an object space, wherein the object space includes a first object and a second object arranged according to a relative relationship based on an attribute; generating a user interface including a first adjustment mechanism configured to adjust a scope of the requested search, and a second adjustment mechanism configured to adjust results of a search based on the attribute; and generating a second set of results based on a user input received via one or more of the first adjustment mechanism and the second adjustment mechanism, wherein the second set of results includes the second object. 10. The method of claim 9, wherein the attribute is based on a word included in a first textual description of the first object and a second textual description of the second object. 11. The method of claim 9, wherein the user interface comprises a graphical user interface (GUI) and the first adjustment mechanism is one of a knob and a scrollable bar. 12. The method of claim 9, wherein the user interface comprises a graphical user interface (GUI) and the second adjustment mechanism is one of a knob and a scrollable bar. | 2,100 |
4,838 | 15,212,216 | 2,124 | An approach is provided for mining threaded online discussions. In the approach, performed by an information handling system, a natural language processing (NLP) analysis is performed on threaded discussions pertaining to a given topic. The analysis is performed across multiple web sites with each of the web sites including one or more threaded discussions. The analysis results in harvested discussions pertaining to the topic. The harvested discussions are correlated and a question is identified from the harvested discussions. A set of candidate answers is also identified from the harvested discussions, with one of the candidate answers being selected as the most likely answer to the identified question. | 1. A method, in an information handling system comprising a processor and a memory, of mining threaded online discussions, the method comprising:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions; identifying a question from the harvested discussions; identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question; aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer; generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 2. The method of claim 1 further comprising:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 3. The method of claim 1 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 4. The method of claim 3 further comprising:
performing at least one sentiment analysis on each of the candidate scores, wherein the sentiment analyses result in a sentiment analysis score corresponding to each of the candidate answers. 5. The method of claim 3 further comprising:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 6. The method of claim 5 further comprising:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 7. The method of claim 3 further comprising:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate answer; and
generating the follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. 8. An information handling system comprising:
one or more processors; a memory coupled to at least one of the processors; a display; and a set of instructions stored in the memory and executed by at least one of the processors to mine threaded online discussions, wherein the set of instructions perform actions of:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions;
identifying a question from the harvested discussions;
identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question;
aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer;
generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and
scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 9. The information handling system of claim 8 wherein the actions further comprise:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 10. The information handling system of claim 8 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 11. The information handling system of claim 10 wherein the actions further comprise:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 12. The information handling system of claim 11 wherein the actions further comprise:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 13. The information handling system of claim 10 wherein the actions further comprise:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate server; and
generating the follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. 14. A computer program product stored in a computer readable medium, comprising computer instructions that, when executed by an information handling system, causes the information handling system to mine threaded online discussions by performing actions comprising:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions; identifying a question from the harvested discussions; identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question; aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer; generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 15. The computer program product of claim 14 wherein the actions further comprise:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 16. The computer program product of claim 14 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 17. The computer program product of claim 16 wherein the actions further comprise:
performing at least one sentiment analysis on each of the candidate scores, wherein the sentiment analyses result in a sentiment analysis score corresponding to each of the candidate answers. 18. The computer program product of claim 16 wherein the actions further comprise:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 19. The computer program product of claim 18 wherein the actions further comprise:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 20. The computer program product of claim 16 wherein the actions further comprise:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate answer; and
generating a follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. | An approach is provided for mining threaded online discussions. In the approach, performed by an information handling system, a natural language processing (NLP) analysis is performed on threaded discussions pertaining to a given topic. The analysis is performed across multiple web sites with each of the web sites including one or more threaded discussions. The analysis results in harvested discussions pertaining to the topic. The harvested discussions are correlated and a question is identified from the harvested discussions. A set of candidate answers is also identified from the harvested discussions, with one of the candidate answers being selected as the most likely answer to the identified question.1. A method, in an information handling system comprising a processor and a memory, of mining threaded online discussions, the method comprising:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions; identifying a question from the harvested discussions; identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question; aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer; generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 2. The method of claim 1 further comprising:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 3. The method of claim 1 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 4. The method of claim 3 further comprising:
performing at least one sentiment analysis on each of the candidate scores, wherein the sentiment analyses result in a sentiment analysis score corresponding to each of the candidate answers. 5. The method of claim 3 further comprising:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 6. The method of claim 5 further comprising:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 7. The method of claim 3 further comprising:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate answer; and
generating the follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. 8. An information handling system comprising:
one or more processors; a memory coupled to at least one of the processors; a display; and a set of instructions stored in the memory and executed by at least one of the processors to mine threaded online discussions, wherein the set of instructions perform actions of:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions;
identifying a question from the harvested discussions;
identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question;
aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer;
generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and
scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 9. The information handling system of claim 8 wherein the actions further comprise:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 10. The information handling system of claim 8 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 11. The information handling system of claim 10 wherein the actions further comprise:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 12. The information handling system of claim 11 wherein the actions further comprise:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 13. The information handling system of claim 10 wherein the actions further comprise:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate server; and
generating the follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. 14. A computer program product stored in a computer readable medium, comprising computer instructions that, when executed by an information handling system, causes the information handling system to mine threaded online discussions by performing actions comprising:
performing, by the information handling system, a natural language processing (NLP) analysis of one or more threaded discussions pertaining to a given topic, wherein the analysis is performed across one or more web sites with each of the web sites including one or more of the threaded discussions, wherein the analysis results in a plurality of harvested discussions; identifying a question from the harvested discussions; identifying a plurality of candidate answers from the harvested discussions, wherein each of the plurality of candidate answers pertain to the identified question; aggregating and merging a selected plurality of harvested discussions corresponding to each of the candidate answers, wherein the selected plurality of harvested discussions are supporting evidence corresponding to the respective candidate answer; generating a supporting evidence score based on one or more factors of the supporting evidence for each of the candidate answers; and scoring each of the plurality of candidate answers, wherein the scoring calculates an overall score corresponding to each of the candidate answers, wherein the overall score is based upon at least the supporting evidence score. 15. The computer program product of claim 14 wherein the actions further comprise:
comparing a plurality of questions found in the threaded discussions to a posed question, wherein the identified question matches the posed question; and
adding one or more of the correlated harvested discussions to a corpus that is utilized in a deep question answering system. 16. The computer program product of claim 14 wherein the overall score is based upon one or more component scores selected from the group consisting of the supporting evidence score, an answer post score, a post provider score, and a follow-up score, and wherein the selected answer has the highest overall score when compared to the other candidate answers. 17. The computer program product of claim 16 wherein the actions further comprise:
performing at least one sentiment analysis on each of the candidate scores, wherein the sentiment analyses result in a sentiment analysis score corresponding to each of the candidate answers. 18. The computer program product of claim 16 wherein the actions further comprise:
identifying a plurality of follow-up postings corresponding to the identified question;
analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and
generating a contribution tree based on the follow-up postings and their identified conversational moves. 19. The computer program product of claim 18 wherein the actions further comprise:
pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. 20. The computer program product of claim 16 wherein the actions further comprise:
wherein at least one of the factors is selected from the group consisting of a quality of the supporting evidence, and a quantity of the supporting evidence;
generating the answer post score based on an identification of a rating within the threaded discussions pertaining to the candidate answer;
generating the post provider score based on an identified expertise level that corresponds to a provider of the candidate answer; and
generating a follow-up score based on one or more follow-up comments from posters that indicate that the candidate answer was correct. | 2,100 |
4,839 | 13,705,871 | 2,171 | A system configured to enhance a user's focus on the primary personal relationships of a user, the system comprising a utility function for a user interface designed to integrate directly into an operating system of a mobile electronic communication device. The utility function comprises a toggle allowing a user to switch between an app-centric mode and a relationship-centric mode. The relationship-centric mode allows the user to focus attention on the primary personal relationships of the user and the app-centric mode allows social interaction with every relationship of the user and access to the internet without any limitations. The utility function includes a home screen for displaying the primary personal relationships of the user. The utility function includes an individual relationship screen defining the at least one interaction modality for establishing interaction with the primary personal relationships of the user. | 1. A system comprising:
a utility function; the utility function for user interface being integrated into a mobile electronic communication device; the utility function allowing a user to switch between two modes; and the utility function being capable to customize a plurality of interaction modalities to interact with each relationship of the user. 2. The system of claim 1 wherein the utility function is designed to categorize at least one relationship based on the preference of the user. 3. The system of claim 1 wherein the utility function is designed to operate in a relationship-centric mode. 4. The system of claim 1 wherein the utility function is designed to operate in an app-centric mode. 5. The system of claim 3 wherein the relationship-centric mode allows the user to focus attention on the at least one relationship based on the preference of the user. 6. The system of claim 4 wherein the app-centric mode allows the user to interact with strong, weak and tertiary relationships and access the internet without limitations. 7. The system of claim 1 wherein a home screen displays information about the user and the at least one primary relationship of the user. 8. The system of claim 7 wherein the utility function allows the user to choose an individual for interaction from the at least one relationship displayed on the home screen. 9. The system of claim 7 wherein the utility function permits the user to update the at least one relationship displayed on the home screen at any time. 10. The system of claim 1 wherein the utility function is designed in such a way that an individual relationship screen defines the plurality of interaction modalities for establishing interaction with the at least one relationship of the user. 11. A system configured to enhance at least one relationship of a user comprising:
a utility function; the utility function for user interface being integrated into a mobile electronic communication device; the utility function comprising a toggle allowing a user to switch between two modes; and the utility function being capable to customize a plurality of interaction modalities to interact with the at least one relationship, wherein the plurality of interaction modalities of the at least one relationship varies depending on the preference of the plurality of interaction modalities chosen by the user. 12. The system of claim 11 wherein the utility function is designed to categorize the at least one relationship based on the preference of the user. 13. The system of claim 11 wherein the utility function is designed to operate in a relationship-centric mode. 14. The system of claim 11 wherein the utility function is designed to operate in an app-centric mode. 15. The system of claim 13 wherein the utility function is designed so that the relationship-centric mode allows the user to focus attention on the at least one relationship without the distraction of secondary and tertiary relationships. 16. The system of claim 14 wherein the app-centric mode allows the user to interact with strong, weak and tertiary relationships and access the internet without limitations. 17. The system of claim 11 wherein the system displays a home screen that displays information about the user and the at least one relationship of the user. 18. The system of claim 17 wherein the utility function allows the user to select individuals for interaction from the at least one relationship displayed on the home screen. 19. The system of claim 17 wherein the utility function permits the user to update the at least one relationship displayed on the home screen at any time. 20. The system of claim 11 wherein the utility function displays an individual relationship screen that defines the plurality of interaction modalities for establishing interaction with the at least one relationship of the user. 21. The system of claim 20 wherein the utility function is designed in a way that the plurality of interaction modalities displayed on the individual relationship screen includes voice calls, SMS (Short Message Service) a means for sharing files, photos, videos, calendars and the like. 22. A system configured to enhance focus on at least one primary personal relationship of a user, the system comprising:
a utility function; the utility function for a user interface being designed to integrate directly into an operating system of a mobile electronic communication device; the utility function comprises a toggle allowing a user to switch between an app-centric mode and a relationship-centric mode; wherein the relationship-centric mode allows the user to focus attention on the at least one primary personal relationship; the app-centric mode allows social interaction with every relationship of the user without any limitations and access to the internet without limitation; and the utility function being capable to customize at least one interaction modality to interact with the at least one primary personal relationship, wherein the at least one interaction modality of the at least one primary personal relationship appears unique depending upon the preference of the at least one interaction modality chosen by the user. 23. The system of claim 22 wherein the utility function is designed to categorize the at least one primary personal relationship and to distinguish strong, weak and tertiary relationships. 24. The system of claim 22 wherein the utility function may hide and/or de-emphasize incoming and outgoing communication with individuals who are not included in the at least one primary personal relationship of the user. 25. The system of claim 22 wherein the utility function displays a home screen with advertisements based on the nature of the at least one primary personal relationship of the user. 26. The system of claim 22 wherein the utility function allows the user to select individuals for interaction from the at least one primary personal relationship displayed on the home screen. 27. The system of claim 22 wherein an individual relationship screen defines the at least one interaction modality for establishing interaction with the at least one primary personal relationship of the user. 28. The system of claim 27 wherein the at least one interaction modality displayed on the individual relationship screen includes at least one of voice calls, SMS (Short Message Service), a means for sharing files. 29. The system of claim 28 wherein the utility function enables the user to customize the at least one interaction modality to create a relationship-centric template. 30. The system of claim 29 wherein the relationship-centric template for the at least one primary personal relationship appears unique depending on the at least one interactive modalities most often preferred by the user to interact with the at least one primary personal relationship of the user. 31. The system of claim 22 wherein the utility function permits the user to build a unique integrated multifaceted interface to focus on and support the at least one primary personal relationship of the user. 32. The system of claim 22 wherein when the relationship-centric mode is active an incoming telephone call received from the at least one non-primary relationship causes the system to generate a first ring tone, and an incoming telephone call received from other than the at least one non-primary relationship causes the system to either generate a second ring tone or create a notification. 33. The system of claim 22 wherein when the relationship-centric mode is active an incoming telephone call received from the at least one non-primary relationship causes the system to generate a first vibration alert, and an incoming telephone call received from other than the at least one non-primary relationship causes the system to generate a second vibration alert. | A system configured to enhance a user's focus on the primary personal relationships of a user, the system comprising a utility function for a user interface designed to integrate directly into an operating system of a mobile electronic communication device. The utility function comprises a toggle allowing a user to switch between an app-centric mode and a relationship-centric mode. The relationship-centric mode allows the user to focus attention on the primary personal relationships of the user and the app-centric mode allows social interaction with every relationship of the user and access to the internet without any limitations. The utility function includes a home screen for displaying the primary personal relationships of the user. The utility function includes an individual relationship screen defining the at least one interaction modality for establishing interaction with the primary personal relationships of the user.1. A system comprising:
a utility function; the utility function for user interface being integrated into a mobile electronic communication device; the utility function allowing a user to switch between two modes; and the utility function being capable to customize a plurality of interaction modalities to interact with each relationship of the user. 2. The system of claim 1 wherein the utility function is designed to categorize at least one relationship based on the preference of the user. 3. The system of claim 1 wherein the utility function is designed to operate in a relationship-centric mode. 4. The system of claim 1 wherein the utility function is designed to operate in an app-centric mode. 5. The system of claim 3 wherein the relationship-centric mode allows the user to focus attention on the at least one relationship based on the preference of the user. 6. The system of claim 4 wherein the app-centric mode allows the user to interact with strong, weak and tertiary relationships and access the internet without limitations. 7. The system of claim 1 wherein a home screen displays information about the user and the at least one primary relationship of the user. 8. The system of claim 7 wherein the utility function allows the user to choose an individual for interaction from the at least one relationship displayed on the home screen. 9. The system of claim 7 wherein the utility function permits the user to update the at least one relationship displayed on the home screen at any time. 10. The system of claim 1 wherein the utility function is designed in such a way that an individual relationship screen defines the plurality of interaction modalities for establishing interaction with the at least one relationship of the user. 11. A system configured to enhance at least one relationship of a user comprising:
a utility function; the utility function for user interface being integrated into a mobile electronic communication device; the utility function comprising a toggle allowing a user to switch between two modes; and the utility function being capable to customize a plurality of interaction modalities to interact with the at least one relationship, wherein the plurality of interaction modalities of the at least one relationship varies depending on the preference of the plurality of interaction modalities chosen by the user. 12. The system of claim 11 wherein the utility function is designed to categorize the at least one relationship based on the preference of the user. 13. The system of claim 11 wherein the utility function is designed to operate in a relationship-centric mode. 14. The system of claim 11 wherein the utility function is designed to operate in an app-centric mode. 15. The system of claim 13 wherein the utility function is designed so that the relationship-centric mode allows the user to focus attention on the at least one relationship without the distraction of secondary and tertiary relationships. 16. The system of claim 14 wherein the app-centric mode allows the user to interact with strong, weak and tertiary relationships and access the internet without limitations. 17. The system of claim 11 wherein the system displays a home screen that displays information about the user and the at least one relationship of the user. 18. The system of claim 17 wherein the utility function allows the user to select individuals for interaction from the at least one relationship displayed on the home screen. 19. The system of claim 17 wherein the utility function permits the user to update the at least one relationship displayed on the home screen at any time. 20. The system of claim 11 wherein the utility function displays an individual relationship screen that defines the plurality of interaction modalities for establishing interaction with the at least one relationship of the user. 21. The system of claim 20 wherein the utility function is designed in a way that the plurality of interaction modalities displayed on the individual relationship screen includes voice calls, SMS (Short Message Service) a means for sharing files, photos, videos, calendars and the like. 22. A system configured to enhance focus on at least one primary personal relationship of a user, the system comprising:
a utility function; the utility function for a user interface being designed to integrate directly into an operating system of a mobile electronic communication device; the utility function comprises a toggle allowing a user to switch between an app-centric mode and a relationship-centric mode; wherein the relationship-centric mode allows the user to focus attention on the at least one primary personal relationship; the app-centric mode allows social interaction with every relationship of the user without any limitations and access to the internet without limitation; and the utility function being capable to customize at least one interaction modality to interact with the at least one primary personal relationship, wherein the at least one interaction modality of the at least one primary personal relationship appears unique depending upon the preference of the at least one interaction modality chosen by the user. 23. The system of claim 22 wherein the utility function is designed to categorize the at least one primary personal relationship and to distinguish strong, weak and tertiary relationships. 24. The system of claim 22 wherein the utility function may hide and/or de-emphasize incoming and outgoing communication with individuals who are not included in the at least one primary personal relationship of the user. 25. The system of claim 22 wherein the utility function displays a home screen with advertisements based on the nature of the at least one primary personal relationship of the user. 26. The system of claim 22 wherein the utility function allows the user to select individuals for interaction from the at least one primary personal relationship displayed on the home screen. 27. The system of claim 22 wherein an individual relationship screen defines the at least one interaction modality for establishing interaction with the at least one primary personal relationship of the user. 28. The system of claim 27 wherein the at least one interaction modality displayed on the individual relationship screen includes at least one of voice calls, SMS (Short Message Service), a means for sharing files. 29. The system of claim 28 wherein the utility function enables the user to customize the at least one interaction modality to create a relationship-centric template. 30. The system of claim 29 wherein the relationship-centric template for the at least one primary personal relationship appears unique depending on the at least one interactive modalities most often preferred by the user to interact with the at least one primary personal relationship of the user. 31. The system of claim 22 wherein the utility function permits the user to build a unique integrated multifaceted interface to focus on and support the at least one primary personal relationship of the user. 32. The system of claim 22 wherein when the relationship-centric mode is active an incoming telephone call received from the at least one non-primary relationship causes the system to generate a first ring tone, and an incoming telephone call received from other than the at least one non-primary relationship causes the system to either generate a second ring tone or create a notification. 33. The system of claim 22 wherein when the relationship-centric mode is active an incoming telephone call received from the at least one non-primary relationship causes the system to generate a first vibration alert, and an incoming telephone call received from other than the at least one non-primary relationship causes the system to generate a second vibration alert. | 2,100 |
4,840 | 13,641,901 | 2,162 | A method and a report viewer for viewing a structured report, such as medical report describing radiological images using descriptors selected from a predefined list of descriptors, includes the acts of opening the medical report; and in response to the opening act, searching for a further report related to the descriptors of the medical report, and highlighting words and/or sentences in the further report that match keywords derived from the descriptors. The medical report and the further report may be displayed simultaneously with the words and/or sentences being highlighted. The further report may include an unstructured text report, and the method further includes mapping the descriptors to findings in the text report and highlighting the findings. | 1. A method for viewing a medical report describing radiological images using descriptors selected from a predefined list of descriptors comprising the acts of:
opening the medical report; and in response to the opening act, performing the further acts of:
searching by a processor for a further report related to the descriptors of the medical report; and
highlighting at least one of words and sentences in the further report that match keywords derived from the descriptors. 2. The method of claim 1, wherein the searching act includes the acts of:
analyzing by a report analyzer the further report to obtain interpretations; translating by an ontology engine the descriptors into the keywords; and matching by a reasoning and matching engine the keywords with the interpretations to identify interpretations that match with the keywords. 3. The method of claim 2, wherein the analyzing act includes the acts of:
segmenting the further report into sections; identifying sentences in the sections; grouping words in the sentences to form grouped words for each sentence; determining modality and laterality of the each sentence from the grouped words; and mapping the modality and laterality of the each sentence to modality and laterality words to obtain the interpretations. 4. The method of claim 2, wherein the translating act includes the acts of:
parsing the descriptors to obtain list of properties corresponding to the descriptors; associating each property with semantically relevant words using a mapper that accesses an ontology database; and stemming the semantically relevant words to obtain the keywords. 5. The method of claim 1, further comprising the act of selecting the further report from a plurality of reports found by the searching act. 6. The method of claim 1, further comprising the act of displaying simultaneously the medical report and the further report with the at least one of words and sentences being highlighted. 7. The method of claim 1, wherein the opening act includes the act of selecting the descriptors by a user, and wherein the searching and highlighting acts are performed in response to the selecting act. 8. The method of claim 1, wherein the descriptors are automatically extracted from the first report in response to the opening act. 9. The method of claim 1, wherein the medical report includes an image annotated with the descriptors, and the descriptors are automatically extracted from the image in response to the opening act. 10. The method of claim 1, wherein the descriptors are BIRADS descriptors. 11. The method of claim 1, wherein the further report comprises an unstructured text report, the method further comprising the acts of mapping the descriptors to findings in the text report and highlighting the findings. 12. A computer program product including non-transitory computer data stored on a tangible computer readable medium, the computer program product comprising program code configured to perform the method of claim 1. 13. A report viewer comprising a processor configured to perform the acts of:
opening a medical report describing radiological images using descriptors selected from a predefined list of descriptors; and in response to the opening act, performing the further acts of:
searching for a further report related to the descriptors of the medical report; and
highlighting at least one of words and sentences in the further report that match keywords derived from the descriptors. 14. The report viewer of claim 13, wherein the processor is further configured to:
analyze the further report to obtain interpretations; translate the descriptors into a keywords; and match the keywords with the interpretations to identify interpretations that match the keywords. 15. The report viewer of claim 13, wherein the processor is further configured to:
segment the further report into sections; identify sentences in the sections; group words in the sentences to form grouped words for each sentence; determine modality and laterality of the each sentence from the grouped words; and map the modality and laterality to modality of the each sentence to modality and laterality words to obtain the interpretations. 16. The report viewer of claim 13, wherein the processor is further configured to:
parse the descriptor to obtain list of properties corresponding to the descriptor; associate each property with semantically relevant words using an ontology database; and stem the semantically relevant words to obtain the keywords. 17. The report viewer of claim 13, wherein the processor is further configured to simultaneously display the medical report and the further report with the at least one of words and sentences being highlighted in the further report. 18. The report viewer of claim 13, wherein the processor is further configured to provide a user interface for selecting the descriptors by a user, and to perform the searching and the highlighting acts in response to the selecting act. 19. The report viewer of claim 13, wherein the processor is further configured to automatically extract the descriptors from the medical report in response to the opening act. 20. A report viewer comprising:
an ontology engine configured to receive descriptors from a medical report, the descriptors being selected from a predefined set of descriptors and to translate the descriptors into keywords; a report analyzer configured to analyze a further report including text to obtain interpretations of the text; and a reasoning and matching engine configured to match the keywords with the interpretations to identify a set of interpretations that matches the keywords. | A method and a report viewer for viewing a structured report, such as medical report describing radiological images using descriptors selected from a predefined list of descriptors, includes the acts of opening the medical report; and in response to the opening act, searching for a further report related to the descriptors of the medical report, and highlighting words and/or sentences in the further report that match keywords derived from the descriptors. The medical report and the further report may be displayed simultaneously with the words and/or sentences being highlighted. The further report may include an unstructured text report, and the method further includes mapping the descriptors to findings in the text report and highlighting the findings.1. A method for viewing a medical report describing radiological images using descriptors selected from a predefined list of descriptors comprising the acts of:
opening the medical report; and in response to the opening act, performing the further acts of:
searching by a processor for a further report related to the descriptors of the medical report; and
highlighting at least one of words and sentences in the further report that match keywords derived from the descriptors. 2. The method of claim 1, wherein the searching act includes the acts of:
analyzing by a report analyzer the further report to obtain interpretations; translating by an ontology engine the descriptors into the keywords; and matching by a reasoning and matching engine the keywords with the interpretations to identify interpretations that match with the keywords. 3. The method of claim 2, wherein the analyzing act includes the acts of:
segmenting the further report into sections; identifying sentences in the sections; grouping words in the sentences to form grouped words for each sentence; determining modality and laterality of the each sentence from the grouped words; and mapping the modality and laterality of the each sentence to modality and laterality words to obtain the interpretations. 4. The method of claim 2, wherein the translating act includes the acts of:
parsing the descriptors to obtain list of properties corresponding to the descriptors; associating each property with semantically relevant words using a mapper that accesses an ontology database; and stemming the semantically relevant words to obtain the keywords. 5. The method of claim 1, further comprising the act of selecting the further report from a plurality of reports found by the searching act. 6. The method of claim 1, further comprising the act of displaying simultaneously the medical report and the further report with the at least one of words and sentences being highlighted. 7. The method of claim 1, wherein the opening act includes the act of selecting the descriptors by a user, and wherein the searching and highlighting acts are performed in response to the selecting act. 8. The method of claim 1, wherein the descriptors are automatically extracted from the first report in response to the opening act. 9. The method of claim 1, wherein the medical report includes an image annotated with the descriptors, and the descriptors are automatically extracted from the image in response to the opening act. 10. The method of claim 1, wherein the descriptors are BIRADS descriptors. 11. The method of claim 1, wherein the further report comprises an unstructured text report, the method further comprising the acts of mapping the descriptors to findings in the text report and highlighting the findings. 12. A computer program product including non-transitory computer data stored on a tangible computer readable medium, the computer program product comprising program code configured to perform the method of claim 1. 13. A report viewer comprising a processor configured to perform the acts of:
opening a medical report describing radiological images using descriptors selected from a predefined list of descriptors; and in response to the opening act, performing the further acts of:
searching for a further report related to the descriptors of the medical report; and
highlighting at least one of words and sentences in the further report that match keywords derived from the descriptors. 14. The report viewer of claim 13, wherein the processor is further configured to:
analyze the further report to obtain interpretations; translate the descriptors into a keywords; and match the keywords with the interpretations to identify interpretations that match the keywords. 15. The report viewer of claim 13, wherein the processor is further configured to:
segment the further report into sections; identify sentences in the sections; group words in the sentences to form grouped words for each sentence; determine modality and laterality of the each sentence from the grouped words; and map the modality and laterality to modality of the each sentence to modality and laterality words to obtain the interpretations. 16. The report viewer of claim 13, wherein the processor is further configured to:
parse the descriptor to obtain list of properties corresponding to the descriptor; associate each property with semantically relevant words using an ontology database; and stem the semantically relevant words to obtain the keywords. 17. The report viewer of claim 13, wherein the processor is further configured to simultaneously display the medical report and the further report with the at least one of words and sentences being highlighted in the further report. 18. The report viewer of claim 13, wherein the processor is further configured to provide a user interface for selecting the descriptors by a user, and to perform the searching and the highlighting acts in response to the selecting act. 19. The report viewer of claim 13, wherein the processor is further configured to automatically extract the descriptors from the medical report in response to the opening act. 20. A report viewer comprising:
an ontology engine configured to receive descriptors from a medical report, the descriptors being selected from a predefined set of descriptors and to translate the descriptors into keywords; a report analyzer configured to analyze a further report including text to obtain interpretations of the text; and a reasoning and matching engine configured to match the keywords with the interpretations to identify a set of interpretations that matches the keywords. | 2,100 |
4,841 | 15,047,901 | 2,136 | A technique for garbage collection in a storage system includes generating regrouping metadata for one or more pages of at least two logical erase blocks (LEB). The regrouping metadata indicates an associated stream for each of the pages. Multiple of the LEBs that include valid pages associated with a first stream are selected, based on the regrouping metadata, for regrouping. The valid pages associated with the first stream from the selected LEBs are regrouped into a new LEB. | 1. A method of garbage collection in a storage system, comprising:
generating, by a controller, regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for each of the pages; selecting by the controller, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and regrouping, by the controller, the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 2. The method of claim 1, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 3. The method of claim 1, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 4. The method of claim 1, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 5. The method of claim 1, wherein the new LEB only includes data from the first stream. 6. The method of claim 1, wherein the regrouping metadata is stored with each of the pages. 7. The method of claim 1, wherein the regrouping metadata is hashed. 8. The method of claim 1, wherein the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 9. A data storage system, comprising:
flash controller memory; and a flash controller coupled to the flash controller memory, wherein the flash controller is configured to:
generate regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for the pages;
select, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and
regroup the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 10. The data storage system of claim 9, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 11. The data storage system of claim 9, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 12. The data storage system of claim 9, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 13. The data storage system of claim 9, wherein the new LEB only includes data from the first stream. 14. The data storage system of claim 9, wherein the regrouping metadata is stored with each of the pages. 15. The data storage system of claim 9, wherein the regrouping metadata is hashed. 16. The data storage system of claim 9, wherein the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 17. A program product, the program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a data storage system, to cause the data storage system to:
generate regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for each of the pages; select, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and regroup the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 18. The program product of claim 17, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 19. The program product of claim 17, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 20. The program product of claim 17, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 21. The method of claim 1, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 22. The data storage system of claim 9, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 23. The program product of claim 17, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. | A technique for garbage collection in a storage system includes generating regrouping metadata for one or more pages of at least two logical erase blocks (LEB). The regrouping metadata indicates an associated stream for each of the pages. Multiple of the LEBs that include valid pages associated with a first stream are selected, based on the regrouping metadata, for regrouping. The valid pages associated with the first stream from the selected LEBs are regrouped into a new LEB.1. A method of garbage collection in a storage system, comprising:
generating, by a controller, regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for each of the pages; selecting by the controller, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and regrouping, by the controller, the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 2. The method of claim 1, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 3. The method of claim 1, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 4. The method of claim 1, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 5. The method of claim 1, wherein the new LEB only includes data from the first stream. 6. The method of claim 1, wherein the regrouping metadata is stored with each of the pages. 7. The method of claim 1, wherein the regrouping metadata is hashed. 8. The method of claim 1, wherein the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 9. A data storage system, comprising:
flash controller memory; and a flash controller coupled to the flash controller memory, wherein the flash controller is configured to:
generate regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for the pages;
select, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and
regroup the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 10. The data storage system of claim 9, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 11. The data storage system of claim 9, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 12. The data storage system of claim 9, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 13. The data storage system of claim 9, wherein the new LEB only includes data from the first stream. 14. The data storage system of claim 9, wherein the regrouping metadata is stored with each of the pages. 15. The data storage system of claim 9, wherein the regrouping metadata is hashed. 16. The data storage system of claim 9, wherein the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 17. A program product, the program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a data storage system, to cause the data storage system to:
generate regrouping metadata for one or more pages in at least two logical erase blocks (LEBs), wherein the regrouping metadata indicates an associated stream for each of the pages; select, based on the regrouping metadata, a first LEB that includes one or more valid pages associated with a first stream and a second LEB that includes one or more valid pages associated with the first stream for regrouping; and regroup the valid pages associated with the first stream from the selected first and second LEBs into a new LEB. 18. The program product of claim 17, wherein the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID. 19. The program product of claim 17, wherein the regrouping metadata is only generated for ones of the pages whose compressibility is below a threshold value. 20. The program product of claim 17, wherein the regrouping metadata is only generated for ones of the pages whose data heat is below a threshold value. 21. The method of claim 1, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 22. The data storage system of claim 9, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. 23. The program product of claim 17, wherein:
the associated stream is indicated by at least one of a set including a data heat, a stream identifier (ID) supplied by a host, a host address, a thread ID, and a logical unit number (LUN) ID; the regrouping metadata is only generated for pages belong to at least one of a first set of pages whose compressibility is below a threshold value and a second set of pages whose data heat is below a threshold value; the new LEB only includes data from the first stream; the regrouping metadata is stored with each of the pages; the regrouping metadata is hashed; and the regrouping metadata is used to separate host writes into different LEBs during initial host writes. | 2,100 |
4,842 | 15,042,318 | 2,184 | A Controller Area Network (CAN) device is disclosed. The CAN device includes a CAN controller and a transceiver coupled to the CAN controller. The transceiver includes a transmitter and a receiver coupled to a CAN bus interface. The CAN device also includes a security module coupled to the receiver. The security module includes an identifier table and a receiver controller. The security module is configured to receive an incoming CAN message, retrieve an identifier from the incoming CAN message, search the identifier table for the identifier and to alter the incoming message based on a result of the search. | 1. A Controller Area Network (CAN) device, comprising:
a CAN controller; a transceiver coupled to the CAN controller, wherein the transceiver includes a transmitter and a receiver coupled to a CAN bus interface; and a security module coupled to the receiver, wherein the security module includes an identifier table and a receiver controller, wherein the security module is configured to receive an incoming CAN message, retrieve an identifier from the incoming CAN message, search the identifier table for the identifier and alter the incoming message based on a result of the search. 2. The CAN device of claim 1, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, the security module is configured to send the incoming message to the CAN controller without altering the incoming CAN message. 3. The CAN device of claim 1, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, the security module is configured to send the incoming message to the CAN controller without altering the incoming CAN message. 4. The CAN device of claim 1, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros and transmitting the error message to the CAN protocol controller. 5. The CAN device of claim 1, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message and transmitting the error message to the CAN protocol controller. 6. The CAN device of claim 1, wherein the altering of the incoming CAN message includes generating a new CAN message that is equal in length to the incoming CAN message and transmitting the new CAN message to the CAN protocol controller. 7. The CAN device of claim 1, wherein the security module is coupled to the transmitter and configured to send a CAN error message to the transmitter after altering the incoming CAN message. 8. The CAN device of claim 1, wherein the security module is located inside the transceiver. 9. A method of altering an incoming Controller Area Network (CAN) message in a CAN device, the method comprising:
receiving the incoming CAN message at a receiver inside a transceiver; transmitting the incoming CAN message to a security module that includes a list of identifiers; retrieving an identifier from the incoming CAN message; and searching through the list of identifiers for the identifier and based on a result of the searching, altering the incoming CAN message. 10. The method of claim 9, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 11. The method of claim 9, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 12. The method of claim 9, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros. 13. The method of claim 9, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message. 14. The method of claim 9, wherein the altering of the incoming CAN message includes generating a new CAN message that is equal in length to the incoming CAN message. 15. The method of claim 9, further including transmitting a CAN error message to a CAN bus through a transmitter after altering the incoming CAN message. 16. A microcontroller including programming instructions which when executed by a processor inside the microcontroller performs an operation, the operation includes:
receiving the incoming CAN message at a receiver inside a transceiver; transmitting the incoming CAN message to a security module that includes a list of identifiers; retrieving an identifier from the incoming CAN message; and searching through the list of identifiers for the identifier and based on a result of the searching, altering the incoming CAN message. 17. The microcontroller of claim 16, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 18. The microcontroller of claim 16, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 19. The microcontroller of claim 16, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros. 20. The microcontroller of claim 16, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message. | A Controller Area Network (CAN) device is disclosed. The CAN device includes a CAN controller and a transceiver coupled to the CAN controller. The transceiver includes a transmitter and a receiver coupled to a CAN bus interface. The CAN device also includes a security module coupled to the receiver. The security module includes an identifier table and a receiver controller. The security module is configured to receive an incoming CAN message, retrieve an identifier from the incoming CAN message, search the identifier table for the identifier and to alter the incoming message based on a result of the search.1. A Controller Area Network (CAN) device, comprising:
a CAN controller; a transceiver coupled to the CAN controller, wherein the transceiver includes a transmitter and a receiver coupled to a CAN bus interface; and a security module coupled to the receiver, wherein the security module includes an identifier table and a receiver controller, wherein the security module is configured to receive an incoming CAN message, retrieve an identifier from the incoming CAN message, search the identifier table for the identifier and alter the incoming message based on a result of the search. 2. The CAN device of claim 1, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, the security module is configured to send the incoming message to the CAN controller without altering the incoming CAN message. 3. The CAN device of claim 1, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, the security module is configured to send the incoming message to the CAN controller without altering the incoming CAN message. 4. The CAN device of claim 1, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros and transmitting the error message to the CAN protocol controller. 5. The CAN device of claim 1, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message and transmitting the error message to the CAN protocol controller. 6. The CAN device of claim 1, wherein the altering of the incoming CAN message includes generating a new CAN message that is equal in length to the incoming CAN message and transmitting the new CAN message to the CAN protocol controller. 7. The CAN device of claim 1, wherein the security module is coupled to the transmitter and configured to send a CAN error message to the transmitter after altering the incoming CAN message. 8. The CAN device of claim 1, wherein the security module is located inside the transceiver. 9. A method of altering an incoming Controller Area Network (CAN) message in a CAN device, the method comprising:
receiving the incoming CAN message at a receiver inside a transceiver; transmitting the incoming CAN message to a security module that includes a list of identifiers; retrieving an identifier from the incoming CAN message; and searching through the list of identifiers for the identifier and based on a result of the searching, altering the incoming CAN message. 10. The method of claim 9, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 11. The method of claim 9, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 12. The method of claim 9, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros. 13. The method of claim 9, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message. 14. The method of claim 9, wherein the altering of the incoming CAN message includes generating a new CAN message that is equal in length to the incoming CAN message. 15. The method of claim 9, further including transmitting a CAN error message to a CAN bus through a transmitter after altering the incoming CAN message. 16. A microcontroller including programming instructions which when executed by a processor inside the microcontroller performs an operation, the operation includes:
receiving the incoming CAN message at a receiver inside a transceiver; transmitting the incoming CAN message to a security module that includes a list of identifiers; retrieving an identifier from the incoming CAN message; and searching through the list of identifiers for the identifier and based on a result of the searching, altering the incoming CAN message. 17. The microcontroller of claim 16, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message matches one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 18. The microcontroller of claim 16, wherein the identifier table includes a list of identifiers, wherein if the identifier in the incoming CAN message does not match one in the list, sending the incoming message to the CAN controller without altering the incoming CAN message. 19. The microcontroller of claim 16, wherein the altering of the incoming CAN message includes changing bits in data part of the incoming CAN message to a sequence of zeros. 20. The microcontroller of claim 16, wherein the altering of the incoming CAN message includes changing the incoming CAN message to an error message. | 2,100 |
4,843 | 14,033,091 | 2,174 | To obtain imagery geographically related to a user-selected image, a selection of an image being displayed via a user interface of a software application is received. The selected image depicts an identifiable geographic entity. At least metadata associated with the image is sent to a group of one or more servers via a communication network. A set of images of the geographic entity depicted in the selected image and generally matching a pose of the selected image are received, where the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity. Navigation and display of the images via a second software application, that operates independently of the first software application, are provided. | 1. A computer-readable storage medium having stored thereon instructions for obtaining imagery geographically related to a user-selected image, wherein the instructions, when executed by one or more processors of a computing device, cause the computing device to:
receive a selection of an image being displayed via a user interface of a first software application executing on the one or more processors, wherein the selected image depicts an identifiable geographic entity; send at least metadata associated with the image to a group of one or more servers via a communication network; receive, from the group of one or more servers, a set of images of the geographic entity depicted in the selected image and generally matching a pose of the selected image, wherein the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity; and provide navigation and display of the set of images via a second software application that operates independently of the first software application. 2. The computer-readable storage medium of claim 1, wherein the geographic entity depicted in the selected image is an artificial structure or a natural formation automatically identified at the group of one or more servers. 3. The computer-readable storage medium of claim 1, wherein:
the instructions that cause the computing device to receive the selection of the image and send at least the metadata are included in an Application Programming Interface (API) invokable by the first software application, and the instructions that cause the computing device to receive the images and provide navigation are provided as a function of the second software application. 4. The computer-readable storage medium of claim 3, wherein:
the first software application is a web browser, and the second software application is a mapping application. 5. The computer-readable storage medium of claim 4, wherein the instructions that provide the navigation and the display of images provide the navigation and the display of images in an interactive three-dimensional (3D) environment presented by the mapping application. 6. The computer-readable storage medium of claim 1, wherein:
the first software application is a web browser configured to display web content retrieved via the communication network, and the instructions that cause the computing device to receive the selection of the image and send at least the metadata are included in the web content. 7. The computer-readable storage medium of claim 1, including further instructions that, when executed on the one or more processors, provide a dialog box via the user interface offering a user to request the set of images, wherein the at least metadata is sent in response to the user requesting the set of images using the dialog box. 8. The computer-readable storage medium of claim 1, wherein:
the image displayed via the user interface of the first software application is a low-resolution thumbnail image, the received set of images includes one or more high-resolution images. 9. The computer-readable storage medium of claim 1, wherein the instructions, when executed on the one or more processors, further cause the computing device to send the image to the group of servers. 10. The computer-readable storage medium of claim 1, wherein the instructions, when executed on the one or more processors, cause the computing device to send a Universal Resource Locator (URL) that references the image on a web page. 11. A method in a network device for providing images geographically related to a user-selected image, the method comprising:
receiving, from a client device via a communication network, a selection of a photographic image; automatically processing the photographic image to determine (i) a geographic entity depicted in the photographic image, (ii) a geographic location of the depicted geographic entity, and (iii) a camera pose corresponding to positioning of a camera that captured the photographic image relative to the depicted geographic entity; selecting, from an electronic database, a set of images depicting the same geographic entity and having an approximately same pose as the selected photographic image; and sending the set of images to the client device for presentation via a mapping application. 12. The method of claim 11, wherein the set of images is configured to be displayed in an interactive 3D view of the geographic location. 13. The method of claim 11, further comprising:
receiving a plurality of photographic images of the depicted geographic entity from multiple sources; automatically annotating the plurality of photographic images, including analyzing the plurality of images to determine respective camera poses; and storing the determined camera poses with the plurality of images in the electronic database. 14. The method of claim 11, wherein receiving the selection of the photographic image reference includes one of:
receiving a URL link to the photographic image, or receiving a row-resolution thumbnail version of the photographic image. 15. The method of claim 1, wherein the depicted geographic entity is landmark structure. 16. The method of claim 1, wherein the camera pose corresponds to (i) location information including latitude and longitude values (ii) a rotation metric, (iii) a pitch metric, and (iv) a field of view indication. 17. A method in a computing device for providing geographically relevant images to a user, the method comprising:
providing an API for use by a first software application executing on the computing device, wherein the first software application invokes the API to specify a photographic image selected via a user interface of the first software application, and wherein the API sends at least metadata associated with the selected image to a group of one or more servers via a communication network; receiving a plurality of images of a geographic entity depicted in the selected image and generally matching a pose of the selected image, wherein the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity; and displaying the plurality of images via a second software application that operates independently of the first software application, including displaying each of the plurality of images in accordance with a respective pose. 18. The method of claim 17, wherein displaying the plurality of images via a second software application includes:
displaying one of the plurality of images with a pose most closely matching the pose of the selected image, and providing navigation controls for viewing the plurality of images in an interactive 3D environment. 19. The method of claim 17, further comprising retrieving a web page from a web server, wherein the API is invoked by a script included in the web page. 20. The method of claim 17, wherein the API sends a URL to the selected image to the group of servers. | To obtain imagery geographically related to a user-selected image, a selection of an image being displayed via a user interface of a software application is received. The selected image depicts an identifiable geographic entity. At least metadata associated with the image is sent to a group of one or more servers via a communication network. A set of images of the geographic entity depicted in the selected image and generally matching a pose of the selected image are received, where the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity. Navigation and display of the images via a second software application, that operates independently of the first software application, are provided.1. A computer-readable storage medium having stored thereon instructions for obtaining imagery geographically related to a user-selected image, wherein the instructions, when executed by one or more processors of a computing device, cause the computing device to:
receive a selection of an image being displayed via a user interface of a first software application executing on the one or more processors, wherein the selected image depicts an identifiable geographic entity; send at least metadata associated with the image to a group of one or more servers via a communication network; receive, from the group of one or more servers, a set of images of the geographic entity depicted in the selected image and generally matching a pose of the selected image, wherein the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity; and provide navigation and display of the set of images via a second software application that operates independently of the first software application. 2. The computer-readable storage medium of claim 1, wherein the geographic entity depicted in the selected image is an artificial structure or a natural formation automatically identified at the group of one or more servers. 3. The computer-readable storage medium of claim 1, wherein:
the instructions that cause the computing device to receive the selection of the image and send at least the metadata are included in an Application Programming Interface (API) invokable by the first software application, and the instructions that cause the computing device to receive the images and provide navigation are provided as a function of the second software application. 4. The computer-readable storage medium of claim 3, wherein:
the first software application is a web browser, and the second software application is a mapping application. 5. The computer-readable storage medium of claim 4, wherein the instructions that provide the navigation and the display of images provide the navigation and the display of images in an interactive three-dimensional (3D) environment presented by the mapping application. 6. The computer-readable storage medium of claim 1, wherein:
the first software application is a web browser configured to display web content retrieved via the communication network, and the instructions that cause the computing device to receive the selection of the image and send at least the metadata are included in the web content. 7. The computer-readable storage medium of claim 1, including further instructions that, when executed on the one or more processors, provide a dialog box via the user interface offering a user to request the set of images, wherein the at least metadata is sent in response to the user requesting the set of images using the dialog box. 8. The computer-readable storage medium of claim 1, wherein:
the image displayed via the user interface of the first software application is a low-resolution thumbnail image, the received set of images includes one or more high-resolution images. 9. The computer-readable storage medium of claim 1, wherein the instructions, when executed on the one or more processors, further cause the computing device to send the image to the group of servers. 10. The computer-readable storage medium of claim 1, wherein the instructions, when executed on the one or more processors, cause the computing device to send a Universal Resource Locator (URL) that references the image on a web page. 11. A method in a network device for providing images geographically related to a user-selected image, the method comprising:
receiving, from a client device via a communication network, a selection of a photographic image; automatically processing the photographic image to determine (i) a geographic entity depicted in the photographic image, (ii) a geographic location of the depicted geographic entity, and (iii) a camera pose corresponding to positioning of a camera that captured the photographic image relative to the depicted geographic entity; selecting, from an electronic database, a set of images depicting the same geographic entity and having an approximately same pose as the selected photographic image; and sending the set of images to the client device for presentation via a mapping application. 12. The method of claim 11, wherein the set of images is configured to be displayed in an interactive 3D view of the geographic location. 13. The method of claim 11, further comprising:
receiving a plurality of photographic images of the depicted geographic entity from multiple sources; automatically annotating the plurality of photographic images, including analyzing the plurality of images to determine respective camera poses; and storing the determined camera poses with the plurality of images in the electronic database. 14. The method of claim 11, wherein receiving the selection of the photographic image reference includes one of:
receiving a URL link to the photographic image, or receiving a row-resolution thumbnail version of the photographic image. 15. The method of claim 1, wherein the depicted geographic entity is landmark structure. 16. The method of claim 1, wherein the camera pose corresponds to (i) location information including latitude and longitude values (ii) a rotation metric, (iii) a pitch metric, and (iv) a field of view indication. 17. A method in a computing device for providing geographically relevant images to a user, the method comprising:
providing an API for use by a first software application executing on the computing device, wherein the first software application invokes the API to specify a photographic image selected via a user interface of the first software application, and wherein the API sends at least metadata associated with the selected image to a group of one or more servers via a communication network; receiving a plurality of images of a geographic entity depicted in the selected image and generally matching a pose of the selected image, wherein the pose defines at least a camera location and an orientation of the camera with respect to the depicted geographic entity; and displaying the plurality of images via a second software application that operates independently of the first software application, including displaying each of the plurality of images in accordance with a respective pose. 18. The method of claim 17, wherein displaying the plurality of images via a second software application includes:
displaying one of the plurality of images with a pose most closely matching the pose of the selected image, and providing navigation controls for viewing the plurality of images in an interactive 3D environment. 19. The method of claim 17, further comprising retrieving a web page from a web server, wherein the API is invoked by a script included in the web page. 20. The method of claim 17, wherein the API sends a URL to the selected image to the group of servers. | 2,100 |
4,844 | 14,691,624 | 2,142 | A method includes receiving inputs indicative of a user state of a user. The inputs include sensor inputs from one or more sensors and/or user inputs received from a graphical user interface displayed. The method includes determining a collective user state based on the received inputs and determining one or more possible activities for the user and one or more predicted outcomes for each activity based on the collective user state. The method includes executing one or more behaviors that evaluate the one or more possible activities and/or the corresponding one or more predicted outcomes. Each behavior models a human behavior and/or a goal oriented task. The method further includes selecting one or more activities based on the evaluations of the one or more possible activities and/or the corresponding one or more predicted outcomes and sending results including the selected one or more activities to a screen. | 1. A method comprising:
receiving, at a computing device, inputs indicative of a user state of a user, the received inputs comprising:
sensor inputs from one or more sensors in communication with the computing device; and/or
user inputs received from a graphical user interface;
determining, using the computing device, possible activities for the user to perform based on the received inputs; determining, using the computing device, one or more predicted outcomes for each possible activity based on the received inputs; executing, at the computing device, behaviors having corresponding objectives, each behavior configured to evaluate a possible activity based on whether the possible activity and the corresponding one or more predicted outcomes of the possible activity achieves the corresponding objective; selecting, using the computing device, one or more possible activities based on evaluations of one or more behaviors; and outputting results including the selected one or more possible activities. 2. The method of claim 1, wherein each behavior elects to participate or not participate in evaluating the possible activities based on the received inputs. 3. The method of claim 1, further comprising, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible activities, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible activities. 4. The method of claim 3, further comprising, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 5. The method of claim 4, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 6. The method of claim 3, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 7. The method of claim 1, further comprising determining, using the computing device, the possible activities based on one or more preferences of the user. 8. The method of claim 1, wherein at least one behavior evaluates a possible activity based on at least one of a history of selected activities for the user or one or more preferences of the user. 9. The method of claim 1, wherein a first behavior evaluates a possible activity based on an evaluation by a second behavior of the possible activity. 10. The method of claim 1, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. 11. A system comprising:
one or more computing devices; and memory hardware in communication with the one or more computing devices, memory hardware storing instructions that, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising:
receiving inputs indicative of a user state of a user, the inputs comprising:
sensor inputs from one or more sensors in communication with the one or more computing devices; and/or
user inputs received from a graphical user interface;
determining possible activities for the user to perform based on the received inputs;
determining one or more predicted outcomes for each possible activity based on the received inputs;
executing behaviors having corresponding objectives, each behavior configured to evaluate a possible activity based on whether the possible activity and the corresponding one or more predicted outcomes of the possible activity achieves the corresponding objective;
selecting one or more possible activities based on evaluations of one or more behaviors; and
outputting results including the selected one or more possible activities. 12. The system of claim 11, wherein each behavior elects to participate or not participate in evaluating the possible activities based on the received inputs. 13. The system of claim 11, wherein the operations further comprise, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible activities, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible activities. 14. The system of claim 13, wherein the operations further comprise, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 15. The system of claim 14, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 16. The system of claim 13, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 17. The system of claim 11, wherein the operations further comprise determining the possible activities based on one or more preferences of the user. 18. The system of claim 11, wherein at least one behavior evaluates a possible activity based on at least one of a history of selected activities for the user or one or more preferences of the user. 19. The system of claim 11, wherein a first behavior evaluates a possible activity based on an evaluation by a second behavior of the possible activity. 20. The system of claim 11, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. | A method includes receiving inputs indicative of a user state of a user. The inputs include sensor inputs from one or more sensors and/or user inputs received from a graphical user interface displayed. The method includes determining a collective user state based on the received inputs and determining one or more possible activities for the user and one or more predicted outcomes for each activity based on the collective user state. The method includes executing one or more behaviors that evaluate the one or more possible activities and/or the corresponding one or more predicted outcomes. Each behavior models a human behavior and/or a goal oriented task. The method further includes selecting one or more activities based on the evaluations of the one or more possible activities and/or the corresponding one or more predicted outcomes and sending results including the selected one or more activities to a screen.1. A method comprising:
receiving, at a computing device, inputs indicative of a user state of a user, the received inputs comprising:
sensor inputs from one or more sensors in communication with the computing device; and/or
user inputs received from a graphical user interface;
determining, using the computing device, possible activities for the user to perform based on the received inputs; determining, using the computing device, one or more predicted outcomes for each possible activity based on the received inputs; executing, at the computing device, behaviors having corresponding objectives, each behavior configured to evaluate a possible activity based on whether the possible activity and the corresponding one or more predicted outcomes of the possible activity achieves the corresponding objective; selecting, using the computing device, one or more possible activities based on evaluations of one or more behaviors; and outputting results including the selected one or more possible activities. 2. The method of claim 1, wherein each behavior elects to participate or not participate in evaluating the possible activities based on the received inputs. 3. The method of claim 1, further comprising, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible activities, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible activities. 4. The method of claim 3, further comprising, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 5. The method of claim 4, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 6. The method of claim 3, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 7. The method of claim 1, further comprising determining, using the computing device, the possible activities based on one or more preferences of the user. 8. The method of claim 1, wherein at least one behavior evaluates a possible activity based on at least one of a history of selected activities for the user or one or more preferences of the user. 9. The method of claim 1, wherein a first behavior evaluates a possible activity based on an evaluation by a second behavior of the possible activity. 10. The method of claim 1, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. 11. A system comprising:
one or more computing devices; and memory hardware in communication with the one or more computing devices, memory hardware storing instructions that, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising:
receiving inputs indicative of a user state of a user, the inputs comprising:
sensor inputs from one or more sensors in communication with the one or more computing devices; and/or
user inputs received from a graphical user interface;
determining possible activities for the user to perform based on the received inputs;
determining one or more predicted outcomes for each possible activity based on the received inputs;
executing behaviors having corresponding objectives, each behavior configured to evaluate a possible activity based on whether the possible activity and the corresponding one or more predicted outcomes of the possible activity achieves the corresponding objective;
selecting one or more possible activities based on evaluations of one or more behaviors; and
outputting results including the selected one or more possible activities. 12. The system of claim 11, wherein each behavior elects to participate or not participate in evaluating the possible activities based on the received inputs. 13. The system of claim 11, wherein the operations further comprise, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible activities, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible activities. 14. The system of claim 13, wherein the operations further comprise, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 15. The system of claim 14, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 16. The system of claim 13, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 17. The system of claim 11, wherein the operations further comprise determining the possible activities based on one or more preferences of the user. 18. The system of claim 11, wherein at least one behavior evaluates a possible activity based on at least one of a history of selected activities for the user or one or more preferences of the user. 19. The system of claim 11, wherein a first behavior evaluates a possible activity based on an evaluation by a second behavior of the possible activity. 20. The system of claim 11, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. | 2,100 |
4,845 | 11,674,152 | 2,178 | Simplifying understanding of procedure dependencies in a form definition used in user interfaces. In an embodiment, a form definition including a set of procedures (identified by a corresponding identifier) are examined to determine pairs of procedures such that a caller procedure of a pair invokes/refers a called procedure in the pair. For each of pair of procedures determined, a link associated with an identifier identifying the called procedure is included in the caller procedure. The link is designed to display the called procedure in response to a user action associated with the identifier in a display of the caller procedure. | 1. A method of processing a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, said method comprising:
examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 2. The method of claim 1, further comprising modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 3. The method of claim 2, wherein said link is provided according to a markup language such that said second identifier is displayed as a hyperlink, wherein said hyperlink further contains an information to retrieve said second procedure. 4. The method of claim 2, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said method further comprising:
converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said storing also stores said first modified procedure in said non-volatile memory. 5. The method of claim 4, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 6. The method of claim 1, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. 7. The method of claim 6, wherein said second system comprises a database server also storing said form definition. 8. A method of viewing a plurality of procedures contained in a form definition, said method comprising:
displaying a first plurality of instructions corresponding to a first procedure, wherein a first instruction in said first plurality of instructions invokes a second procedure, wherein said first procedure and said second procedure are contained in said plurality of procedures, wherein at least a portion associated with said first instruction is displayed in a style to indicate to the user that said portion can be selected to view said second procedure; receiving an indication indicating that said portion is selected; and displaying a second plurality of instructions corresponding to said second procedure. 9. The method of claim 8, further comprising:
receiving said first plurality of instructions including a link associated with said first instruction, wherein said link identifies a location where said second procedure is located, wherein said portion is displayed in said style in response to receiving said link; and retrieving said second plurality of instructions from said location. 10. A computer readable medium carrying one or more sequences of instructions for causing a system to process a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, wherein execution of said one or more sequences of instructions by one or more processors contained in said system causes said one or more processors to perform the actions of:
examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 11. The computer readable medium of claim 10, further comprising one or more instructions for modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 12. The computer readable medium of claim 11, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said method further comprising one or more instructions for:
converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said storing also stores said first modified procedure in said non-volatile memory. 13. The computer readable medium of claim 12, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 14. The computer readable medium of claim 10, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. 15. An apparatus for processing a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, said apparatus comprising:
means for examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and means for incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 16. The apparatus of claim 15, further comprising means for modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 17. The apparatus of claim 16, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said apparatus further comprising:
means for converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and means for storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said means for storing also stores said first modified procedure in said non-volatile memory. 18. The apparatus of claim 17, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 19. The apparatus of claim 15, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. | Simplifying understanding of procedure dependencies in a form definition used in user interfaces. In an embodiment, a form definition including a set of procedures (identified by a corresponding identifier) are examined to determine pairs of procedures such that a caller procedure of a pair invokes/refers a called procedure in the pair. For each of pair of procedures determined, a link associated with an identifier identifying the called procedure is included in the caller procedure. The link is designed to display the called procedure in response to a user action associated with the identifier in a display of the caller procedure.1. A method of processing a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, said method comprising:
examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 2. The method of claim 1, further comprising modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 3. The method of claim 2, wherein said link is provided according to a markup language such that said second identifier is displayed as a hyperlink, wherein said hyperlink further contains an information to retrieve said second procedure. 4. The method of claim 2, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said method further comprising:
converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said storing also stores said first modified procedure in said non-volatile memory. 5. The method of claim 4, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 6. The method of claim 1, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. 7. The method of claim 6, wherein said second system comprises a database server also storing said form definition. 8. A method of viewing a plurality of procedures contained in a form definition, said method comprising:
displaying a first plurality of instructions corresponding to a first procedure, wherein a first instruction in said first plurality of instructions invokes a second procedure, wherein said first procedure and said second procedure are contained in said plurality of procedures, wherein at least a portion associated with said first instruction is displayed in a style to indicate to the user that said portion can be selected to view said second procedure; receiving an indication indicating that said portion is selected; and displaying a second plurality of instructions corresponding to said second procedure. 9. The method of claim 8, further comprising:
receiving said first plurality of instructions including a link associated with said first instruction, wherein said link identifies a location where said second procedure is located, wherein said portion is displayed in said style in response to receiving said link; and retrieving said second plurality of instructions from said location. 10. A computer readable medium carrying one or more sequences of instructions for causing a system to process a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, wherein execution of said one or more sequences of instructions by one or more processors contained in said system causes said one or more processors to perform the actions of:
examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 11. The computer readable medium of claim 10, further comprising one or more instructions for modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 12. The computer readable medium of claim 11, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said method further comprising one or more instructions for:
converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said storing also stores said first modified procedure in said non-volatile memory. 13. The computer readable medium of claim 12, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 14. The computer readable medium of claim 10, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. 15. An apparatus for processing a form definition, wherein said form definition includes a plurality of procedures, wherein each of said plurality of procedures is identified by a corresponding one of a plurality of identifiers, said apparatus comprising:
means for examining said plurality of procedures to determine a plurality of pairs of procedures, wherein a first procedure in a pair invokes a second procedure of the pair, wherein said first procedure is identified by a first identifier and said second procedure is identified by a second identifier, wherein said first procedure and said second procedure are contained in said plurality of procedures; and means for incorporating a link associated with said second identifier in said first procedure, wherein said link is designed to retrieve said second procedure in response to a user action associated with a display of said second identifier. 16. The apparatus of claim 15, further comprising means for modifying said first procedure to generate a first modified procedure, wherein said first modified procedure is formed by adding said link in said first procedure. 17. The apparatus of claim 16, wherein each of said plurality of procedures is in a non-user readable form in a storage storing said form definition, said apparatus further comprising:
means for converting each of said plurality of procedures into a user readable form, wherein said link is included in said first procedure in said user readable form; and means for storing said plurality of procedures in said user readable form in a non-volatile memory, wherein said means for storing also stores said first modified procedure in said non-volatile memory. 18. The apparatus of claim 17, wherein said non-volatile memory is a relational database containing a first column for said plurality of procedures and a second column for modified procedures, wherein said first procedure is stored in a same row as said first modified procedure. 19. The apparatus of claim 15, wherein said first procedure is defined for execution in a first system on which a user interface corresponding to said form definition is provided, and said second procedure is defined for execution in a second system, wherein said first system and said second system are implemented as different physical units. | 2,100 |
4,846 | 14,921,303 | 2,142 | A system and method for displaying content controlled by a user includes a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server. A projector receives the graphical user interface from the server over a network and projects a projection of the graphical user interface on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input. A controller automatically adjusts the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape. A pointer is operated by the user and provides the user input, the user able to use the pointer to move the projection along the surface with a click when the pointer is at a position on the projection. | 1. A system for displaying content controlled by a user, comprising;
a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server; a projector receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input; a controller automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape; a pointer operated by the user and providing the user input, the user able to use the pointer to move the projection along the surface with a click when the pointer is at a position on the projection. 2. The system of claim 1, wherein the pointer comprises a laser pointer having a button for indicating the click. 3. The system of claim 2, further comprising one or more areas on projection, wherein movement of the projection is controlled by positioning the pointer on the one or more areas. 4. The system of claim 3, wherein the movement includes rotating or resizing the projection. 5. The system of claim 2, further comprising a sensor sensing the position of the pointer on projection. 6. The system of claim 1, wherein the graphical user interface comprises a web browser navigating webpages on the Internet. 7. The system of claim 1, wherein the graphical user interface comprises a computer desktop. 8. The system of claim 1, further comprising an application on a mobile device sending commands to the server to control the graphical user interface. 9. The system of claim 8, wherein the application receives text entry for the graphical user interface. 10. The system of claim 1, further comprising a user profile stored on the server, the user profile accessible by a mobile device operated by the user and managing content for display through the user interface, the content including links to webpages. 11. The system of claim 1, wherein the controller and projector comprise the same physical device. 12. The system of claim 1, wherein the server comprises a plurality of computers. 13. The system of claim 1, wherein the projector wirelessly receives the graphical user interface. 14. The system of claim 1, wherein the predetermined shape is substantially in the shape of a rectangle. 15. The system of claim 1, wherein the surface is a wall or ceiling. 16. A method for displaying content controlled by a user, comprising the steps of;
generating a graphical user interface that receives user input for controlling a server; receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface with a projector on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input; automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape; moving the projection along the surface in response to a click when a pointer is at a position on the projection, the pointer operated by the user to provide the user input. 17. The method of claim 16, wherein the pointer comprises a laser pointer having a button for indicating the click. 18. The method of claim 16, further comprising one or more areas on the projection, wherein rotating or resizing of the projection is controlled by positioning the pointer on the one or more areas. 19. The method of claim 16, further comprising the step of providing an application on a mobile device, wherein the user input comprises text entry received by the application and sent to the server. 20. A system for displaying content controlled by a user, comprising;
a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server; a projector receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface on a wall or ceiling, the projector adapted to move the projection vertically and horizontally on the wall or ceiling based on the user input; a controller automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the wall or ceiling substantially in the shape of a rectangle; an application on a mobile device receiving text entry for the graphical user interface; a laser pointer operated by the user to move the projection along the wall or ceiling with a click of a button on the laser pointer when the laser pointer is at a position on the projection. | A system and method for displaying content controlled by a user includes a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server. A projector receives the graphical user interface from the server over a network and projects a projection of the graphical user interface on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input. A controller automatically adjusts the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape. A pointer is operated by the user and provides the user input, the user able to use the pointer to move the projection along the surface with a click when the pointer is at a position on the projection.1. A system for displaying content controlled by a user, comprising;
a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server; a projector receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input; a controller automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape; a pointer operated by the user and providing the user input, the user able to use the pointer to move the projection along the surface with a click when the pointer is at a position on the projection. 2. The system of claim 1, wherein the pointer comprises a laser pointer having a button for indicating the click. 3. The system of claim 2, further comprising one or more areas on projection, wherein movement of the projection is controlled by positioning the pointer on the one or more areas. 4. The system of claim 3, wherein the movement includes rotating or resizing the projection. 5. The system of claim 2, further comprising a sensor sensing the position of the pointer on projection. 6. The system of claim 1, wherein the graphical user interface comprises a web browser navigating webpages on the Internet. 7. The system of claim 1, wherein the graphical user interface comprises a computer desktop. 8. The system of claim 1, further comprising an application on a mobile device sending commands to the server to control the graphical user interface. 9. The system of claim 8, wherein the application receives text entry for the graphical user interface. 10. The system of claim 1, further comprising a user profile stored on the server, the user profile accessible by a mobile device operated by the user and managing content for display through the user interface, the content including links to webpages. 11. The system of claim 1, wherein the controller and projector comprise the same physical device. 12. The system of claim 1, wherein the server comprises a plurality of computers. 13. The system of claim 1, wherein the projector wirelessly receives the graphical user interface. 14. The system of claim 1, wherein the predetermined shape is substantially in the shape of a rectangle. 15. The system of claim 1, wherein the surface is a wall or ceiling. 16. A method for displaying content controlled by a user, comprising the steps of;
generating a graphical user interface that receives user input for controlling a server; receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface with a projector on a surface, the projector adapted to move the projection vertically and horizontally on the surface based on the user input; automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the surface in a predetermined shape; moving the projection along the surface in response to a click when a pointer is at a position on the projection, the pointer operated by the user to provide the user input. 17. The method of claim 16, wherein the pointer comprises a laser pointer having a button for indicating the click. 18. The method of claim 16, further comprising one or more areas on the projection, wherein rotating or resizing of the projection is controlled by positioning the pointer on the one or more areas. 19. The method of claim 16, further comprising the step of providing an application on a mobile device, wherein the user input comprises text entry received by the application and sent to the server. 20. A system for displaying content controlled by a user, comprising;
a server generating a graphical user interface, the graphical user interface receiving user input for controlling the server; a projector receiving the graphical user interface from the server over a network and projecting a projection of the graphical user interface on a wall or ceiling, the projector adapted to move the projection vertically and horizontally on the wall or ceiling based on the user input; a controller automatically adjusting the projection to compensate for an angle of display of the projection so the projection is shown on the wall or ceiling substantially in the shape of a rectangle; an application on a mobile device receiving text entry for the graphical user interface; a laser pointer operated by the user to move the projection along the wall or ceiling with a click of a button on the laser pointer when the laser pointer is at a position on the projection. | 2,100 |
4,847 | 13,829,844 | 2,199 | Method and systems of visually depicting instrumented and sampled data are provided. A first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine. Then a second stream of sampled data is received, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine. Then an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data are simultaneously displayed in one or more viewing regions. Then user interaction with an object pertaining to the aggregated version of a portion of the instrumented data is received. In response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, the aggregated version of the portion of the sampled data is caused to change to depict a different aggregated version of a portion of the sampled data. | 1. A computerized method of visually depicting instrumented and sampled data, the method comprising:
accessing a first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine; accessing a second stream of sampled data, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine; simultaneously displaying an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions; receiving user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and in response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, causing the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 2. The method of claim 1, further comprising:
receiving user interaction with an object pertaining to the aggregated version of a portion of the sampled data; and in response to the receiving user interaction with the object pertaining to aggregated version of a portion of the sampled data, causing the aggregated version of the portion of the instrumented data to change to depict a different aggregated version of a portion of the instrumented data. 3. The method of claim 1, the aggregated version of a portion of the instrumented data being located in a first viewing region and the aggregated version of a portion of the sampled data being located in a second viewing region. 4. The method of claim 1, the aggregated version of a portion of the sampled data being located in a first viewing region and the aggregated version of a portion of the instrumented data being located in the first viewing region. 5. The method of claim 2, the user interaction with the aggregated version of a portion of the sampled data being a selection of a displayed non-native function or category of non-native functions. 6. The method of claim 5, the different aggregated version of a portion of the instrumented data including a depiction of an aggregation of instrumented data from native functions that executed during execution of the selected non-native function or category of non-native functions. 7. The method of claim 1, the user interaction with the aggregated version of a portion of the instrumented data being a selection of a displayed native function or category of native functions. 8. The method of claim 7, the different aggregated version of a portion of the sampled data including a depiction of an aggregation of sampled data from non-native functions that caused execution, or occurred during the execution, of the selected native function or category of native functions. 9. An apparatus comprising:
a processor, a database storing instrumented data and sampled data, the instrumented data collected via execution of code contained in native function calls, the sampled data collected by monitoring execution of non-native function calls; a user interface configured to simultaneously display an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions, receive user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and, in response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, cause the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 10. The apparatus of claim 9, the database being located in a database layer written in an object-oriented programming language. 11. The apparatus of claim 9, the user interface being located in a user interface layer written in a lightweight multi-paradigm programming language designed as a scripting language having extensible semantics. 12. The apparatus of claim 10, the database storing telemetry data from a user-scriptable engine, the telemetry data being transferred to the database in three layers, one layer being a network layer, one layer being a format to serialize objects, and one layer being a telemetry layer defining a particular set of data formats understandable by the serialization layer that are used to transmit the instrumented and sampled data. 13. The apparatus of claim 12, the telemetry data being stored by the database as sessions. 14. The apparatus of claim 10, the database layer further comprising a query engine configured to receive requests for data generated by the user interface and retrieve information from the database in response to the requests. 15. A non-transitory machine-readable storage medium comprising a set of instructions which, when executed by a processor, causes execution of operations comprising:
accessing a first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine; accessing a second stream of sampled data, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine; simultaneously displaying an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions; receiving user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and in response to receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, causing the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 16. The non-transitory machine-readable storage medium of claim 15, the set of instructions further causing execution of the following operations:
receiving user interaction with an object pertaining to the aggregated version of a portion of the sampled data; and in response to the receiving user interaction with the object pertaining to aggregated version of a portion of the sampled data, causing the aggregated version of the portion of the instrumented data to change to depict a different aggregated version of a portion of the instrumented data. 17. The non-transitory machine-readable storage medium of claim 14, the user interaction with the aggregated version of a portion of the sampled data being a selection of a displayed non-native function or category of non-native functions. 18. The non-transitory machine-readable storage medium of claim 17, the different aggregated version of a portion of the sampled data including a depiction of an aggregation of instrumented data from native functions that executed during execution of the selected non-native function or category of non-native functions. 19. The non-transitory machine-readable storage medium of claim 14, the user interaction with the aggregated version of a portion of the instrumented data being a selection of a displayed native function or category of native functions. 20. The non-transitory machine-readable storage medium of claim 19, the different aggregated version of a portion of the instrumented data including a depiction of an aggregation of sampled data from non-native functions that caused execution of the selected native function or category of native functions. | Method and systems of visually depicting instrumented and sampled data are provided. A first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine. Then a second stream of sampled data is received, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine. Then an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data are simultaneously displayed in one or more viewing regions. Then user interaction with an object pertaining to the aggregated version of a portion of the instrumented data is received. In response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, the aggregated version of the portion of the sampled data is caused to change to depict a different aggregated version of a portion of the sampled data.1. A computerized method of visually depicting instrumented and sampled data, the method comprising:
accessing a first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine; accessing a second stream of sampled data, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine; simultaneously displaying an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions; receiving user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and in response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, causing the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 2. The method of claim 1, further comprising:
receiving user interaction with an object pertaining to the aggregated version of a portion of the sampled data; and in response to the receiving user interaction with the object pertaining to aggregated version of a portion of the sampled data, causing the aggregated version of the portion of the instrumented data to change to depict a different aggregated version of a portion of the instrumented data. 3. The method of claim 1, the aggregated version of a portion of the instrumented data being located in a first viewing region and the aggregated version of a portion of the sampled data being located in a second viewing region. 4. The method of claim 1, the aggregated version of a portion of the sampled data being located in a first viewing region and the aggregated version of a portion of the instrumented data being located in the first viewing region. 5. The method of claim 2, the user interaction with the aggregated version of a portion of the sampled data being a selection of a displayed non-native function or category of non-native functions. 6. The method of claim 5, the different aggregated version of a portion of the instrumented data including a depiction of an aggregation of instrumented data from native functions that executed during execution of the selected non-native function or category of non-native functions. 7. The method of claim 1, the user interaction with the aggregated version of a portion of the instrumented data being a selection of a displayed native function or category of native functions. 8. The method of claim 7, the different aggregated version of a portion of the sampled data including a depiction of an aggregation of sampled data from non-native functions that caused execution, or occurred during the execution, of the selected native function or category of native functions. 9. An apparatus comprising:
a processor, a database storing instrumented data and sampled data, the instrumented data collected via execution of code contained in native function calls, the sampled data collected by monitoring execution of non-native function calls; a user interface configured to simultaneously display an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions, receive user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and, in response to the receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, cause the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 10. The apparatus of claim 9, the database being located in a database layer written in an object-oriented programming language. 11. The apparatus of claim 9, the user interface being located in a user interface layer written in a lightweight multi-paradigm programming language designed as a scripting language having extensible semantics. 12. The apparatus of claim 10, the database storing telemetry data from a user-scriptable engine, the telemetry data being transferred to the database in three layers, one layer being a network layer, one layer being a format to serialize objects, and one layer being a telemetry layer defining a particular set of data formats understandable by the serialization layer that are used to transmit the instrumented and sampled data. 13. The apparatus of claim 12, the telemetry data being stored by the database as sessions. 14. The apparatus of claim 10, the database layer further comprising a query engine configured to receive requests for data generated by the user interface and retrieve information from the database in response to the requests. 15. A non-transitory machine-readable storage medium comprising a set of instructions which, when executed by a processor, causes execution of operations comprising:
accessing a first stream of instrumented data, the instrumented data collected via execution of code contained in a user-scriptable engine; accessing a second stream of sampled data, the sampled data collected by monitoring execution of code contained in scripts executed by the user-scriptable engine; simultaneously displaying an aggregated version of a portion of the instrumented data and an aggregated version of a portion of the sampled data in one or more viewing regions; receiving user interaction with an object pertaining to the aggregated version of a portion of the instrumented data; and in response to receiving user interaction with the object pertaining to the aggregated version of a portion of the instrumented data, causing the aggregated version of the portion of the sampled data to change to depict a different aggregated version of a portion of the sampled data. 16. The non-transitory machine-readable storage medium of claim 15, the set of instructions further causing execution of the following operations:
receiving user interaction with an object pertaining to the aggregated version of a portion of the sampled data; and in response to the receiving user interaction with the object pertaining to aggregated version of a portion of the sampled data, causing the aggregated version of the portion of the instrumented data to change to depict a different aggregated version of a portion of the instrumented data. 17. The non-transitory machine-readable storage medium of claim 14, the user interaction with the aggregated version of a portion of the sampled data being a selection of a displayed non-native function or category of non-native functions. 18. The non-transitory machine-readable storage medium of claim 17, the different aggregated version of a portion of the sampled data including a depiction of an aggregation of instrumented data from native functions that executed during execution of the selected non-native function or category of non-native functions. 19. The non-transitory machine-readable storage medium of claim 14, the user interaction with the aggregated version of a portion of the instrumented data being a selection of a displayed native function or category of native functions. 20. The non-transitory machine-readable storage medium of claim 19, the different aggregated version of a portion of the instrumented data including a depiction of an aggregation of sampled data from non-native functions that caused execution of the selected native function or category of native functions. | 2,100 |
4,848 | 14,918,887 | 2,176 | Data in different, respective ranges of spreadsheet file cells is compared, and a scope of a formula determined with respect to selected cells of the ranges of cells, wherein the formula pulls input data from selected cells of one range of cells and either pulls input data or generates output data to selected cells of the other range of cells. A review flag is automatically generated in association with data in a flagged cell in response to determining: that the flagged cell is omitted from a consecutive plurality of input data rows or columns; that the selected formula input cells are not consecutive within one of the ranges of cells; and that a high percentage of data values in corresponding cell rows or columns match but that and a location of the flagged cell is shifted from a corresponding cell within the other range. | 1. A computer-implemented method for a structured cloud data analyzer, the method comprising executing on a computer processor the steps of:
comparing data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determining a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generating a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 2. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identifying the flagged cell as an outlier as a function of failing to match the curve of expected values. 3. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell; and
the method further comprising: automatically revising the format of the flagged cell data to conform to the format of the corresponding cell data. 4. The method of claim 1, further comprising:
identifying an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; creating a list for the identified subset of the selected cells of the first range of cells; updating each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flagging any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. 5. The method of claim 1, further comprising:
integrating computer-readable program code into a computer system comprising the processor, a computer readable memory in circuit communication with the processor, and a computer readable storage medium in circuit communication with the processor; and wherein the processor executes program code instructions stored on the computer-readable storage medium via the computer readable memory and thereby performs the steps of comparing the data in the first range of spreadsheet file cells to the data in each of the second range of spreadsheet file cells, determining the scope of the first formula with respect to the selected cells of the first range of cells and the selected cells of the second range of cells, and automatically generating the review flag in association with the data in the flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of that the flagged cell is omitted from the consecutive plurality of input data rows or columns of the selected first formula input cells, that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells, and that the high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 6. The method of claim 5, further comprising:
providing the integrated computer-readable program code as a service in a cloud environment. 7. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that the first formula is pulling input data from a first set of row or column locations of the first range of spreadsheet file cells, and from another set of row or column locations of the second range of spreadsheet file cells that are different from the first set of row or column locations, wherein the first set of row or column locations and the second set of row or column locations may be on a same sheet or on different respective sheets of a spreadsheet file or within different respective spreadsheet files; and determining that locations of all of information items in the first set of row or column locations of the first range of cells fail to match locations of corresponding information items in all of the second set of row or column locations of the second range of cells, wherein the information items comprise at least one of formulas, data values, and format values. 8. The method of claim 7, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that another, third look-up formula populates a plurality of spreadsheet file cells at a third, end product set of row or column locations via reference to lookup table data that is defined by the first set of row or column locations of the first range of cells, and wherein the lookup table data is pulled via the first formula from an originating table comprising the second set of row or column locations of the second range of cells; and in response to a user addition of new rows or columns to the originating table that correspondingly increases a number of the rows or columns within the originating table defined by the set of row or column locations of the second range of cells to a revised second number of rows or columns within the second range of cells, determining that the third look-up formula refers to a number of rows or columns that is less than the revised second number of rows or columns within the set of row or column locations of the second range of cells. 9. The method of claim 7, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that a heading of the first set of rows or columns of the first range of cells differs in text content from a heading of the second set of rows or columns of the second range of cells. 10. The method of claim 1, further comprising:
reviewing data in a plurality of neighboring cells that are each located in a neighboring set of row or column locations that is adjacent to and outside of a first set of set of row or column locations of the first range of cells; and wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to determining a similarity of the reviewed data of the plurality of neighboring cells to the data within the set of row or column locations of the first range of cells as a function of data type, number values, text values, or date values. 11. The method of claim 10, further comprising:
automatically extending the scope of the first formula to the neighboring cells in response to determining the similarity of the reviewed data of the plurality of neighboring cells to the data within the first set of row or column locations of the first range of cells. 12. A system, comprising:
a processor; a computer readable memory in circuit communication with the processor; and a computer readable storage medium in circuit communication with the processor; wherein the processor executes program instructions stored on the computer-readable storage medium via the computer readable memory and thereby: compares data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determines a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generates a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 13. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
automatically generates the review flag in association with data in the flagged cell in response to comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identifies the flagged cell as an outlier as a function of failing to match the curve of expected values. 14. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
automatically generates the review flag in association with data in the flagged cell in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell, and automatically revises the format of the flagged cell data to conform to the format of the corresponding cell data. 15. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
identifies an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; creates a list for the identified subset of the selected cells of the first range of cells; updates each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flags any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. 16. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby automatically generates the review flag in association with data in the flagged cell in response to:
determining that the first formula is pulling input data from a first set of row or column locations of the first range of spreadsheet file cells, and from another set of row or column locations of the second range of spreadsheet file cells that are different from the first set of row or column locations, wherein the first set of row or column locations and the second set of row or column locations may be on a same sheet or on different respective sheets of a spreadsheet file or within different respective spreadsheet files; and determining that locations of all of information items in the first set of row or column locations of the first range of cells fail to match locations of corresponding information items in all of the second set of row or column locations of the second range of cells, wherein the information items comprise at least one of formulas, data values, and format values. 17. A computer program product for a structured cloud data analyzer, the computer program product comprising:
a computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the computer readable program code comprising instructions for execution by a processor that cause the processor to: compare data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determine a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generate a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 18. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
automatically generate the review flag in association with data in the flagged cell in response to comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identify the flagged cell as an outlier as a function of failing to match the curve of expected values. 19. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
automatically generate the review flag in association with data in the flagged cell in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell, and automatically revise the format of the flagged cell data to conform to the format of the corresponding cell data. 20. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
identify an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; create a list for the identified subset of the selected cells of the first range of cells; update each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flag any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. | Data in different, respective ranges of spreadsheet file cells is compared, and a scope of a formula determined with respect to selected cells of the ranges of cells, wherein the formula pulls input data from selected cells of one range of cells and either pulls input data or generates output data to selected cells of the other range of cells. A review flag is automatically generated in association with data in a flagged cell in response to determining: that the flagged cell is omitted from a consecutive plurality of input data rows or columns; that the selected formula input cells are not consecutive within one of the ranges of cells; and that a high percentage of data values in corresponding cell rows or columns match but that and a location of the flagged cell is shifted from a corresponding cell within the other range.1. A computer-implemented method for a structured cloud data analyzer, the method comprising executing on a computer processor the steps of:
comparing data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determining a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generating a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 2. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identifying the flagged cell as an outlier as a function of failing to match the curve of expected values. 3. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell; and
the method further comprising: automatically revising the format of the flagged cell data to conform to the format of the corresponding cell data. 4. The method of claim 1, further comprising:
identifying an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; creating a list for the identified subset of the selected cells of the first range of cells; updating each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flagging any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. 5. The method of claim 1, further comprising:
integrating computer-readable program code into a computer system comprising the processor, a computer readable memory in circuit communication with the processor, and a computer readable storage medium in circuit communication with the processor; and wherein the processor executes program code instructions stored on the computer-readable storage medium via the computer readable memory and thereby performs the steps of comparing the data in the first range of spreadsheet file cells to the data in each of the second range of spreadsheet file cells, determining the scope of the first formula with respect to the selected cells of the first range of cells and the selected cells of the second range of cells, and automatically generating the review flag in association with the data in the flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of that the flagged cell is omitted from the consecutive plurality of input data rows or columns of the selected first formula input cells, that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells, and that the high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 6. The method of claim 5, further comprising:
providing the integrated computer-readable program code as a service in a cloud environment. 7. The method of claim 1, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that the first formula is pulling input data from a first set of row or column locations of the first range of spreadsheet file cells, and from another set of row or column locations of the second range of spreadsheet file cells that are different from the first set of row or column locations, wherein the first set of row or column locations and the second set of row or column locations may be on a same sheet or on different respective sheets of a spreadsheet file or within different respective spreadsheet files; and determining that locations of all of information items in the first set of row or column locations of the first range of cells fail to match locations of corresponding information items in all of the second set of row or column locations of the second range of cells, wherein the information items comprise at least one of formulas, data values, and format values. 8. The method of claim 7, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that another, third look-up formula populates a plurality of spreadsheet file cells at a third, end product set of row or column locations via reference to lookup table data that is defined by the first set of row or column locations of the first range of cells, and wherein the lookup table data is pulled via the first formula from an originating table comprising the second set of row or column locations of the second range of cells; and in response to a user addition of new rows or columns to the originating table that correspondingly increases a number of the rows or columns within the originating table defined by the set of row or column locations of the second range of cells to a revised second number of rows or columns within the second range of cells, determining that the third look-up formula refers to a number of rows or columns that is less than the revised second number of rows or columns within the set of row or column locations of the second range of cells. 9. The method of claim 7, wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to:
determining that a heading of the first set of rows or columns of the first range of cells differs in text content from a heading of the second set of rows or columns of the second range of cells. 10. The method of claim 1, further comprising:
reviewing data in a plurality of neighboring cells that are each located in a neighboring set of row or column locations that is adjacent to and outside of a first set of set of row or column locations of the first range of cells; and wherein the step of automatically generating the review flag in association with data in the flagged cell is further in response to determining a similarity of the reviewed data of the plurality of neighboring cells to the data within the set of row or column locations of the first range of cells as a function of data type, number values, text values, or date values. 11. The method of claim 10, further comprising:
automatically extending the scope of the first formula to the neighboring cells in response to determining the similarity of the reviewed data of the plurality of neighboring cells to the data within the first set of row or column locations of the first range of cells. 12. A system, comprising:
a processor; a computer readable memory in circuit communication with the processor; and a computer readable storage medium in circuit communication with the processor; wherein the processor executes program instructions stored on the computer-readable storage medium via the computer readable memory and thereby: compares data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determines a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generates a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 13. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
automatically generates the review flag in association with data in the flagged cell in response to comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identifies the flagged cell as an outlier as a function of failing to match the curve of expected values. 14. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
automatically generates the review flag in association with data in the flagged cell in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell, and automatically revises the format of the flagged cell data to conform to the format of the corresponding cell data. 15. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby:
identifies an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; creates a list for the identified subset of the selected cells of the first range of cells; updates each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flags any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. 16. The system of claim 12, wherein the processor executes the program instructions stored on the computer-readable storage medium via the computer readable memory and thereby automatically generates the review flag in association with data in the flagged cell in response to:
determining that the first formula is pulling input data from a first set of row or column locations of the first range of spreadsheet file cells, and from another set of row or column locations of the second range of spreadsheet file cells that are different from the first set of row or column locations, wherein the first set of row or column locations and the second set of row or column locations may be on a same sheet or on different respective sheets of a spreadsheet file or within different respective spreadsheet files; and determining that locations of all of information items in the first set of row or column locations of the first range of cells fail to match locations of corresponding information items in all of the second set of row or column locations of the second range of cells, wherein the information items comprise at least one of formulas, data values, and format values. 17. A computer program product for a structured cloud data analyzer, the computer program product comprising:
a computer readable storage medium having computer readable program code embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the computer readable program code comprising instructions for execution by a processor that cause the processor to: compare data in each of a plurality of cells of a first range of spreadsheet file cells to a data in each of a plurality of cells of a second range of spreadsheet file cells that is different from the first range of cells; determine a scope of a first formula with respect to selected cells of the first range of cells and selected cells of the second range of cells, wherein the first formula pulls input data from the selected cells of the first range of cells and pulls input data from selected cells of the second range of cells or responsively generates output data to revise the data within each of the selected output cells of the second range of cells; and automatically generate a review flag in association with data in a flagged cell selected from one of the first range of cells and the second range of cells in response to determining at least one of: that the flagged cell is omitted from a consecutive plurality of input data rows or columns of the selected first formula input cells; that the selected first formula input cells are not consecutive within one of the first range of cells and the second range of cells; and that a high percentage of data values in respective corresponding rows or columns of the first range of cells and the second range of cells match, and that a location of the flagged cell within one of the first range of cells and the second range of cells is shifted by at least one row or column from a corresponding cell within another of the first range of cells and the second range of cells. 18. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
automatically generate the review flag in association with data in the flagged cell in response to comparing a trend of changing values over time for the first range of cells against a curve of expected values; and identify the flagged cell as an outlier as a function of failing to match the curve of expected values. 19. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
automatically generate the review flag in association with data in the flagged cell in response to determining that a format of the data of the flagged cell fails to correspond to a format of the data of the corresponding cell, and automatically revise the format of the flagged cell data to conform to the format of the corresponding cell data. 20. The computer program product of claim 17, wherein the computer readable program code instructions for execution by the processor further cause the processor to:
identify an additional formula that pulls input data from same ones of a subset of the selected cells of the first range of cells relative to the first formula; create a list for the identified subset of the selected cells of the first range of cells; update each of the listed cells with tallies of usage counts by respective ones of the first formula and the additional formula; and flag any of the listed cells for review that have tallies of usage counts of zero, or of a higher usage count value than a non-zero usage count value of another of the listed cells. | 2,100 |
4,849 | 12,243,186 | 2,157 | A spatial index for locating geographic data parcels stored on physical storage media is disclosed. A geographic database for advanced driver assistance systems is subdivided based on a grid of fixed size tiles that span the entire globe. Each tile is assigned a tile identification. The geographic database is organized as a collection of parcels, each of which contains the data for one or more tiles. To locate a parcel on the physical storage media, a spatial index uses the tile identification. Because the tiles are not uniformly filled with data, the spatial index is organized as a sparse array. | 1. A system for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
an application that receives a request for geographic data, wherein the request includes information that the application uses to identify a tile that contains the requested geographic data; and a spatial index organized as a sparse array, wherein the application provides the tile identification to the spatial index and the spatial index uses the tile identification to identify a row and a column associated with the tile, and wherein the spatial index uses the row and the column to identify a parcel location on the physical storage media that contains the requested geographic data. 2. The system of claim 1, wherein the information that the application uses to identify the tile includes data associated with a current position of a vehicle. 3. The system of claim 2, wherein the data associated with the current position of the vehicle includes geographic coordinates of the vehicle's position. 4. The system of claim 2, wherein the data associated with the current position of the vehicle includes at least one of a segment identification and a node identification. 5. The system of claim 1, wherein the information that the application uses to identify the tile includes at least one of a segment identification and a node identification. 6. The system of claim 1, wherein the spatial index includes a single row parcel and at least one column parcel. 7. The system of claim 6, wherein the row parcel and the at least one column parcel includes a header, a first array, and a second array, wherein the first array indicates presence of entries in the second array. 8. A method for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
receiving a request for geographic data; identifying a tile that contains the requested geographic data, wherein the tile identification is associated with a row and a column in the world tile grid; and retrieving a media address for a parcel using a spatial index organized as a sparse two dimensional array indexed by the tile's row and column in the world tile grid. 9. The method of claim 8, wherein the request includes data associated with a current position of a vehicle. 10. The method of claim 9, wherein the data associated with the current position of the vehicle includes geographic coordinates of the vehicle's position. 11. The method of claim 10, wherein identifying the tile includes translating the geographic coordinates of the vehicle's position to obtain the tile identification. 12. The method of claim 9, wherein the data associated with the current position of the vehicle includes at least one of a segment identification and a node identification. 13. The method of claim 12, wherein identifying the tile includes extracting the tile identification from a geographic database identification using at least one of the segment identification and the node identification. 14. The method of claim 8, wherein the request includes at least one of a segment identification and a node identification. 15. The method of claim 8, further comprising reading the parcel from the physical storage media. 16. A spatial index used to for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by spatial parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
a row index parcel including a first array of bit flags and a first array of media addresses, wherein the first array of bit flags indicates presence of entries in the first array of media addresses; and a column index parcel including a second array of bit flags and a second array of media addresses, wherein the second array of bit flags indicates presence of entries in the second array of media addresses, wherein an entry in the first array of media addresses identifies a media address of the column index parcel, and wherein the second array of media addresses identifies a media address of a spatial parcel. 17. The spatial index of claim 16, wherein the row index parcel and the column index parcel further include a parcel header. 18. The spatial index of claim 17, wherein the parcel header includes information regarding type of parcel, the array of bit flags, and the array of media addresses. 19. The spatial index of claim 16, wherein the geographic database includes a database header that identifies a media address of the row index parcel. 20. The spatial index of claim 16, wherein one of the row index parcel and the column index parcel is stored in more than one parcels. 21. The spatial index of claim 16, wherein one of the row index parcel and the column index parcel includes more than one indexes. | A spatial index for locating geographic data parcels stored on physical storage media is disclosed. A geographic database for advanced driver assistance systems is subdivided based on a grid of fixed size tiles that span the entire globe. Each tile is assigned a tile identification. The geographic database is organized as a collection of parcels, each of which contains the data for one or more tiles. To locate a parcel on the physical storage media, a spatial index uses the tile identification. Because the tiles are not uniformly filled with data, the spatial index is organized as a sparse array.1. A system for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
an application that receives a request for geographic data, wherein the request includes information that the application uses to identify a tile that contains the requested geographic data; and a spatial index organized as a sparse array, wherein the application provides the tile identification to the spatial index and the spatial index uses the tile identification to identify a row and a column associated with the tile, and wherein the spatial index uses the row and the column to identify a parcel location on the physical storage media that contains the requested geographic data. 2. The system of claim 1, wherein the information that the application uses to identify the tile includes data associated with a current position of a vehicle. 3. The system of claim 2, wherein the data associated with the current position of the vehicle includes geographic coordinates of the vehicle's position. 4. The system of claim 2, wherein the data associated with the current position of the vehicle includes at least one of a segment identification and a node identification. 5. The system of claim 1, wherein the information that the application uses to identify the tile includes at least one of a segment identification and a node identification. 6. The system of claim 1, wherein the spatial index includes a single row parcel and at least one column parcel. 7. The system of claim 6, wherein the row parcel and the at least one column parcel includes a header, a first array, and a second array, wherein the first array indicates presence of entries in the second array. 8. A method for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
receiving a request for geographic data; identifying a tile that contains the requested geographic data, wherein the tile identification is associated with a row and a column in the world tile grid; and retrieving a media address for a parcel using a spatial index organized as a sparse two dimensional array indexed by the tile's row and column in the world tile grid. 9. The method of claim 8, wherein the request includes data associated with a current position of a vehicle. 10. The method of claim 9, wherein the data associated with the current position of the vehicle includes geographic coordinates of the vehicle's position. 11. The method of claim 10, wherein identifying the tile includes translating the geographic coordinates of the vehicle's position to obtain the tile identification. 12. The method of claim 9, wherein the data associated with the current position of the vehicle includes at least one of a segment identification and a node identification. 13. The method of claim 12, wherein identifying the tile includes extracting the tile identification from a geographic database identification using at least one of the segment identification and the node identification. 14. The method of claim 8, wherein the request includes at least one of a segment identification and a node identification. 15. The method of claim 8, further comprising reading the parcel from the physical storage media. 16. A spatial index used to for locating geographic data stored in parcels on physical storage media, wherein the geographic data is located in a geographic database that is organized by spatial parcels of one or more tiles bounded by lines of constant latitude or longitude in a world tile grid, comprising:
a row index parcel including a first array of bit flags and a first array of media addresses, wherein the first array of bit flags indicates presence of entries in the first array of media addresses; and a column index parcel including a second array of bit flags and a second array of media addresses, wherein the second array of bit flags indicates presence of entries in the second array of media addresses, wherein an entry in the first array of media addresses identifies a media address of the column index parcel, and wherein the second array of media addresses identifies a media address of a spatial parcel. 17. The spatial index of claim 16, wherein the row index parcel and the column index parcel further include a parcel header. 18. The spatial index of claim 17, wherein the parcel header includes information regarding type of parcel, the array of bit flags, and the array of media addresses. 19. The spatial index of claim 16, wherein the geographic database includes a database header that identifies a media address of the row index parcel. 20. The spatial index of claim 16, wherein one of the row index parcel and the column index parcel is stored in more than one parcels. 21. The spatial index of claim 16, wherein one of the row index parcel and the column index parcel includes more than one indexes. | 2,100 |
4,850 | 14,199,581 | 2,164 | Managing data conversion for user-defined data types within a DBMS. A custom data type definition and one or more converters are stored within a database management system. Each converter can convert instances of the custom data type between a binary format and a programming language format. The database management system receives a request for a custom data type instance in a specified programming language format. A converter among the one or more converters converts the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format, using a custom data type definition from the database management system. The request is responded to with the converted custom data type instance in the specified programming language format. | 1-7. (canceled) 8. A computer program product for managing data conversion for a custom data type in a database system, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a processor, to:
store a custom data type definition and one or more converters within a database management system, each converter being operable to convert instances of the custom data type between a binary format and a programming language format; receive, by the database management system, a request for a custom data type instance in a specified programming language format; convert, by a converter among the one or more converters, the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format using a custom data type definition from the database management system; and respond to the request with the converted custom data type instance in the specified programming language format. 9. The computer program product of claim 8, wherein the custom data type definition is a user defined data type definition. 10. The computer program product of claim 9, wherein the user defined type is a compound user type made up from built-in database types. 11. The computer program product of claim 8, further comprising:
providing a programming language interface for each of the one or more converters to allow calls to the instances of the custom data type. 12. The computer program product of claim 8, wherein the custom data type definition and the one or more converters are stored in a catalog of the database management system. 13. The computer program product of claim 12, further comprising:
determining whether the database management system contains any custom data type definitions by querying the catalog's metadata. 14. The computer program product of claim 8, further comprising storing a version for the custom data type definition. 15. A system for managing data conversion for a custom data type in a database system, comprising:
a processor; and a memory storing instructions that when executed by the processor causes the processor to: store a custom data type definition and one or more converters within a database management system, each converter being operable to convert instances of the custom data type between a binary format and a programming language format; receive, by the database management system, a request for a custom data type instance in a specified programming language format; convert, by a converter among the one or more converters, the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format using a custom data type definition from the database management system; and respond to the request with the converted custom data type instance in the specified programming language format. 16. The system of claim 15, wherein the custom data type definition is a user defined data type definition. 17. The system of claim 16, wherein the user defined type is a compound user type made up from built-in database types. 18. The system of claim 15, further comprising:
providing a programming language interface for each of the one or more converters to allow calls to the instances of the custom data type. 19. The system of claim 15, wherein the custom data type definition and the one or more converters are stored in a catalog of the database management system. 20. The system of claim 19, further comprising:
determining whether the database management system contains any custom data type definitions by querying the catalog's metadata. | Managing data conversion for user-defined data types within a DBMS. A custom data type definition and one or more converters are stored within a database management system. Each converter can convert instances of the custom data type between a binary format and a programming language format. The database management system receives a request for a custom data type instance in a specified programming language format. A converter among the one or more converters converts the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format, using a custom data type definition from the database management system. The request is responded to with the converted custom data type instance in the specified programming language format.1-7. (canceled) 8. A computer program product for managing data conversion for a custom data type in a database system, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a processor, to:
store a custom data type definition and one or more converters within a database management system, each converter being operable to convert instances of the custom data type between a binary format and a programming language format; receive, by the database management system, a request for a custom data type instance in a specified programming language format; convert, by a converter among the one or more converters, the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format using a custom data type definition from the database management system; and respond to the request with the converted custom data type instance in the specified programming language format. 9. The computer program product of claim 8, wherein the custom data type definition is a user defined data type definition. 10. The computer program product of claim 9, wherein the user defined type is a compound user type made up from built-in database types. 11. The computer program product of claim 8, further comprising:
providing a programming language interface for each of the one or more converters to allow calls to the instances of the custom data type. 12. The computer program product of claim 8, wherein the custom data type definition and the one or more converters are stored in a catalog of the database management system. 13. The computer program product of claim 12, further comprising:
determining whether the database management system contains any custom data type definitions by querying the catalog's metadata. 14. The computer program product of claim 8, further comprising storing a version for the custom data type definition. 15. A system for managing data conversion for a custom data type in a database system, comprising:
a processor; and a memory storing instructions that when executed by the processor causes the processor to: store a custom data type definition and one or more converters within a database management system, each converter being operable to convert instances of the custom data type between a binary format and a programming language format; receive, by the database management system, a request for a custom data type instance in a specified programming language format; convert, by a converter among the one or more converters, the custom data type instance expressed in the binary format into a custom data type instance expressed in the specified programming language format using a custom data type definition from the database management system; and respond to the request with the converted custom data type instance in the specified programming language format. 16. The system of claim 15, wherein the custom data type definition is a user defined data type definition. 17. The system of claim 16, wherein the user defined type is a compound user type made up from built-in database types. 18. The system of claim 15, further comprising:
providing a programming language interface for each of the one or more converters to allow calls to the instances of the custom data type. 19. The system of claim 15, wherein the custom data type definition and the one or more converters are stored in a catalog of the database management system. 20. The system of claim 19, further comprising:
determining whether the database management system contains any custom data type definitions by querying the catalog's metadata. | 2,100 |
4,851 | 14,140,438 | 2,133 | Approaches for performing memory management by a hypervisor. A host operating system and a hypervisor are executed on a device. The host operating system is not configured to access physical memory addressed above four gigabytes. The hypervisor manages memory for a device, including memory addressed above four gigabytes. When the hypervisor instantiates a virtual machine, the hypervisor may allocate memory pages for the newly instantiated virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host (and hence addressed below four gigabytes). | 1. A computer-readable storage medium that tangibly stores one or more sequences of instructions for performing memory management by a hypervisor, which when executed by one or more processors, cause:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 2. The computer-readable storage medium of claim 1, wherein execution of the one or more sequences of instructions further causes:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 3. The computer-readable storage medium of claim 1, wherein the host operating system is a 32 bit operating system. 4. The computer-readable storage medium of claim 1, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 5. The computer-readable storage medium of claim 1, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 6. The computer-readable storage medium of claim 1, wherein execution of the one or more sequences of instructions further causes:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. 7. An apparatus for performing memory management by a hypervisor, comprising:
one or more processors; and a computer-readable medium tangibly storing one or more sequences of instructions, which when executed by the one or more processors, cause:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and
the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 8. The apparatus of claim 7, wherein execution of the one or more sequences of instructions further causes:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 9. The apparatus of claim 7, wherein the host operating system is a 32 bit operating system. 10. The apparatus of claim 7, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 11. The apparatus of claim 7, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 12. The apparatus of claim 7, wherein execution of the one or more sequences of instructions further causes:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. 13. A method for performing memory management by a hypervisor, comprising:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 14. The method of claim 13, further comprising:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 15. The method of claim 13, wherein the host operating system is a 32 bit operating system. 16. The method of claim 13, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 17. The method of claim 13, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 18. The method of claim 13, further comprising:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. | Approaches for performing memory management by a hypervisor. A host operating system and a hypervisor are executed on a device. The host operating system is not configured to access physical memory addressed above four gigabytes. The hypervisor manages memory for a device, including memory addressed above four gigabytes. When the hypervisor instantiates a virtual machine, the hypervisor may allocate memory pages for the newly instantiated virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host (and hence addressed below four gigabytes).1. A computer-readable storage medium that tangibly stores one or more sequences of instructions for performing memory management by a hypervisor, which when executed by one or more processors, cause:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 2. The computer-readable storage medium of claim 1, wherein execution of the one or more sequences of instructions further causes:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 3. The computer-readable storage medium of claim 1, wherein the host operating system is a 32 bit operating system. 4. The computer-readable storage medium of claim 1, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 5. The computer-readable storage medium of claim 1, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 6. The computer-readable storage medium of claim 1, wherein execution of the one or more sequences of instructions further causes:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. 7. An apparatus for performing memory management by a hypervisor, comprising:
one or more processors; and a computer-readable medium tangibly storing one or more sequences of instructions, which when executed by the one or more processors, cause:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and
the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 8. The apparatus of claim 7, wherein execution of the one or more sequences of instructions further causes:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 9. The apparatus of claim 7, wherein the host operating system is a 32 bit operating system. 10. The apparatus of claim 7, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 11. The apparatus of claim 7, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 12. The apparatus of claim 7, wherein execution of the one or more sequences of instructions further causes:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. 13. A method for performing memory management by a hypervisor, comprising:
executing, on a device, a host operating system and the hypervisor, wherein the host operating system is not configured to access physical memory addressed above four gigabytes; and the hypervisor managing a set of memory for a device, wherein the set of memory includes memory addressed above four gigabytes. 14. The method of claim 13, further comprising:
upon the hypervisor being instructed to instantiate a virtual machine, the hypervisor allocating memory pages for the virtual machine by preferentially using any unassigned memory addressed above four gigabytes before using memory allocated from the host, wherein all memory allocated from the host is below four gigabytes. 15. The method of claim 13, wherein the host operating system is a 32 bit operating system. 16. The method of claim 13, wherein a guest operating system executing within the virtual machine is a 32 bit operating system. 17. The method of claim 13, wherein the hypervisor is a standard type 2 hypervisor or a type 2 hypervisor which executes at a greater privilege than the host operating system. 18. The method of claim 13, further comprising:
upon deprivileging the host operating system to execute the hypervisor at a greater privilege than the host operating system, assigning a portion of unassigned memory addressed above four gigabytes to the host operating system. | 2,100 |
4,852 | 14,224,079 | 2,145 | A user interface comprises a controller which is configured to display image data, receive input indicating a selection area comprising content corresponding to at least a portion of said image data, receive input indicating a movement of the selection area, identify a recipient and send the content to the recipient in response thereto. | 1. An apparatus comprising:
a controller, wherein said controller is operable to:
display image data;
receive input indicating a selection area comprising at least a portion of said image data;
receive input indicating a movement of the selection area;
identify a recipient based upon the movement of the selection area; and
send the at least a portion of said image data in the selection area to the recipient. | A user interface comprises a controller which is configured to display image data, receive input indicating a selection area comprising content corresponding to at least a portion of said image data, receive input indicating a movement of the selection area, identify a recipient and send the content to the recipient in response thereto.1. An apparatus comprising:
a controller, wherein said controller is operable to:
display image data;
receive input indicating a selection area comprising at least a portion of said image data;
receive input indicating a movement of the selection area;
identify a recipient based upon the movement of the selection area; and
send the at least a portion of said image data in the selection area to the recipient. | 2,100 |
4,853 | 13,077,614 | 2,174 | An electronic device with a display and a touch-sensitive surface displays a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; detects a first input by a user on the touch-sensitive surface while displaying the first authentication user interface; in response to detecting the first input, displays a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, detects one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and authenticates the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. | 1. An electronic device, comprising:
a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
displaying a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code;
detecting a first input by a user on the touch-sensitive surface while displaying the first authentication user interface;
in response to detecting the first input, displaying a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code;
while displaying the second authentication user interface, detecting one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and
authenticating the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 2. The device of claim 1, wherein displaying the second authentication user interface in response to detecting the first input comprises:
replacing display of the first authentication user interface with display of the second authentication user interface. 3. The device of claim 1, wherein displaying the second authentication user interface in response to detecting the first input comprises:
displaying an animation of the second authentication user interface replacing the first authentication user interface. 4. The device of claim 1, wherein the first input is a swipe gesture. 5. The device of claim 1, wherein the first input is a drag gesture. 6. The device of claim 1, wherein the first input is a tap gesture. 7. The device of claim 1, wherein the first input is initiated at a location on the touch-sensitive surface that corresponds to a location of a graphical object on the display, the graphical object being displayed in both the first authentication user interface and the second authentication user interface. 8. The device of claim 7, wherein the graphical object moves from a first location on the display in the first authentication user interface to a second location on the display in the second authentication user interface, distinct from the first location on the display. 9. The device of claim 8, including instructions for:
while displaying the second authentication user interface, detecting a second input that is initiated at a location on the touch-sensitive surface that corresponds to a location of the graphical object on the display; and, in response to detecting the second input, replacing display of the second authentication user interface with display of the first authentication user interface. 10. The device of claim 9, wherein the first input is a swipe gesture in a first direction and the second input is a swipe gesture in a direction opposite to the first direction. 11. The device of claim 9, wherein the first input is a drag gesture in a first direction and the second input is a drag gesture in a direction opposite to the first direction. 12. The device of claim 1, wherein use of gesture-based authentication at the electronic device requires a prior authentication of the user at the electronic device via text-based authentication. 13. The device of claim 1, wherein use of gesture-based authentication requires a prior authentication of the user at the electronic device via text-based authentication without any intervening authentication at the electronic device by another user. 14. The device of claim 1, wherein use of gesture-based authentication requires a prior authentication of the user at the electronic device via text-based authentication within a predefined time period. 15. The device of claim 1, wherein authenticating the user provides access to one of: a remote computer system, a digital content store, or a digital application store. 16. A method, comprising:
at an electronic device with a display and a touch-sensitive surface:
displaying a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code;
detecting a first input by a user on the touch-sensitive surface while displaying the first authentication user interface;
in response to detecting the first input, displaying a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code;
while displaying the second authentication user interface, detecting one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and
authenticating the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a display and a touch-sensitive surface, cause the device to:
display a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; detect a first input by a user on the touch-sensitive surface while displaying the first authentication user interface; in response to detecting the first input, display a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, detect one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and authenticate the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 18. A graphical user interface on an electronic device with a display, a touch-sensitive surface, a memory, and one or more processors to execute one or more programs stored in the memory, the graphical user interface comprising:
a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; wherein: a first input by a user on the touch-sensitive surface is detected while displaying the first authentication user interface; in response to detecting the first input, a second authentication user interface is displayed on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, one or more gestures by the user are detected at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and the user is authenticated in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. | An electronic device with a display and a touch-sensitive surface displays a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; detects a first input by a user on the touch-sensitive surface while displaying the first authentication user interface; in response to detecting the first input, displays a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, detects one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and authenticates the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user.1. An electronic device, comprising:
a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
displaying a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code;
detecting a first input by a user on the touch-sensitive surface while displaying the first authentication user interface;
in response to detecting the first input, displaying a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code;
while displaying the second authentication user interface, detecting one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and
authenticating the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 2. The device of claim 1, wherein displaying the second authentication user interface in response to detecting the first input comprises:
replacing display of the first authentication user interface with display of the second authentication user interface. 3. The device of claim 1, wherein displaying the second authentication user interface in response to detecting the first input comprises:
displaying an animation of the second authentication user interface replacing the first authentication user interface. 4. The device of claim 1, wherein the first input is a swipe gesture. 5. The device of claim 1, wherein the first input is a drag gesture. 6. The device of claim 1, wherein the first input is a tap gesture. 7. The device of claim 1, wherein the first input is initiated at a location on the touch-sensitive surface that corresponds to a location of a graphical object on the display, the graphical object being displayed in both the first authentication user interface and the second authentication user interface. 8. The device of claim 7, wherein the graphical object moves from a first location on the display in the first authentication user interface to a second location on the display in the second authentication user interface, distinct from the first location on the display. 9. The device of claim 8, including instructions for:
while displaying the second authentication user interface, detecting a second input that is initiated at a location on the touch-sensitive surface that corresponds to a location of the graphical object on the display; and, in response to detecting the second input, replacing display of the second authentication user interface with display of the first authentication user interface. 10. The device of claim 9, wherein the first input is a swipe gesture in a first direction and the second input is a swipe gesture in a direction opposite to the first direction. 11. The device of claim 9, wherein the first input is a drag gesture in a first direction and the second input is a drag gesture in a direction opposite to the first direction. 12. The device of claim 1, wherein use of gesture-based authentication at the electronic device requires a prior authentication of the user at the electronic device via text-based authentication. 13. The device of claim 1, wherein use of gesture-based authentication requires a prior authentication of the user at the electronic device via text-based authentication without any intervening authentication at the electronic device by another user. 14. The device of claim 1, wherein use of gesture-based authentication requires a prior authentication of the user at the electronic device via text-based authentication within a predefined time period. 15. The device of claim 1, wherein authenticating the user provides access to one of: a remote computer system, a digital content store, or a digital application store. 16. A method, comprising:
at an electronic device with a display and a touch-sensitive surface:
displaying a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code;
detecting a first input by a user on the touch-sensitive surface while displaying the first authentication user interface;
in response to detecting the first input, displaying a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code;
while displaying the second authentication user interface, detecting one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and
authenticating the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a display and a touch-sensitive surface, cause the device to:
display a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; detect a first input by a user on the touch-sensitive surface while displaying the first authentication user interface; in response to detecting the first input, display a second authentication user interface on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, detect one or more gestures by the user at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and authenticate the user in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. 18. A graphical user interface on an electronic device with a display, a touch-sensitive surface, a memory, and one or more processors to execute one or more programs stored in the memory, the graphical user interface comprising:
a first authentication user interface on the display, the first authentication user interface including a text entry field for entering a text-based authentication code; wherein: a first input by a user on the touch-sensitive surface is detected while displaying the first authentication user interface; in response to detecting the first input, a second authentication user interface is displayed on the display, distinct from the first authentication user interface, the second authentication user interface configured for entering a gesture-based authentication code; while displaying the second authentication user interface, one or more gestures by the user are detected at locations on the touch-sensitive surface that correspond to locations on the second authentication user interface; and the user is authenticated in accordance with a determination that the detected one or more gestures correspond to a gesture-based authentication code for the user. | 2,100 |
4,854 | 14,739,044 | 2,142 | A method includes receiving inputs indicative of a user state of a user. The inputs include sensor inputs from one or more sensors, application inputs received from one or more software applications, and user inputs received from a graphical user interface. The method includes determining possible information for the user based on the received inputs and executing behaviors having corresponding objectives. Each behavior is configured to evaluate the possible information based on whether the possible information is related to the corresponding objective. The method further includes selecting suggested information from the possible information based on evaluations of one or more behaviors for presentation to the user. | 1. A method comprising:
receiving, at data processing hardware, inputs indicative of a user state of a user, the received inputs comprising at least one of:
sensor inputs from one or more sensors in communication with the data processing hardware;
application inputs received from one or more software applications executing on the data processing hardware or a remote device in communication with the data processing hardware; or
user inputs received from a graphical user interface;
determining, by the data processing hardware, possible information for the user by executing one or more searches of data sources, at least one search based on the received inputs; executing, by the data processing hardware, behaviors having corresponding objectives, each behavior configured to evaluate the possible information and determine an evaluation based on whether the possible information is related to the corresponding objective, at least one behavior electing to participate or not participate in evaluating the possible information based on the received inputs, and at least one of the one or more searches based on the objective of at least one behavior participating in evaluating the possible information; and selecting, by the data processing hardware, suggested information from the possible information based on the evaluations of one or more behaviors for presentation to the user. 2. (canceled) 3. The method of claim 1, further comprising, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible information, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible information. 4. The method of claim 3, further comprising, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 5. The method of claim 4, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 6. The method of claim 3, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 7. The method of claim 1, further comprising displaying in the graphical user interface a representation of the user state based on the received inputs. 8. The method of claim 1, wherein at least one behavior evaluates the possible information based on at least one of a history of previously selected information for the user or one or more preferences of the user. 9. The method of claim 1, wherein a first behavior evaluates the possible information based on an evaluation by a second behavior of the possible information. 10. The method of claim 1, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. 11. A system comprising:
data processing hardware; and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that, when executed by the data processing hardware, cause the data processing hardware to perform operations comprising:
receiving inputs indicative of a user state of a user, the received inputs comprising at least one of:
sensor inputs from one or more sensors in communication with the data processing hardware;
application inputs received from one or more software applications executing on the data processing hardware or a remote device in communication with the data processing hardware; or
user inputs received from a graphical user interface;
determining possible information for the user by executing one or more searches of data sources, at least one search based on the received inputs;
executing behaviors having corresponding objectives, each behavior configured to evaluate the possible information and determine an evaluation based on whether the possible information is related to the corresponding objective, at least one behavior electing to participate or not participate in evaluating the possible information based on the received inputs, and at least one of the one or more searches based on the objective of at least one behavior participating in evaluating the possible information; and
selecting suggested information from the possible information based on the evaluations of one or more behaviors for presentation to the user. 12. (canceled) 13. The system of claim 11, wherein the operations further comprise, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible information, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible information. 14. The system of claim 13, wherein the operations further comprise, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 15. The system of claim 14, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 16. The system of claim 13, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 17. The system of claim 11, wherein the operations further comprise displaying in the graphical user interface a representation of the user state based on the received inputs. 18. The system of claim 11, wherein at least one behavior evaluates the possible information based on at least one of a history of previously selected information for the user or one or more preferences of the user. 19. The system of claim 11, wherein a first behavior evaluates the possible information based on an evaluation by a second behavior of the possible information. 20. The system of claim 11, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. | A method includes receiving inputs indicative of a user state of a user. The inputs include sensor inputs from one or more sensors, application inputs received from one or more software applications, and user inputs received from a graphical user interface. The method includes determining possible information for the user based on the received inputs and executing behaviors having corresponding objectives. Each behavior is configured to evaluate the possible information based on whether the possible information is related to the corresponding objective. The method further includes selecting suggested information from the possible information based on evaluations of one or more behaviors for presentation to the user.1. A method comprising:
receiving, at data processing hardware, inputs indicative of a user state of a user, the received inputs comprising at least one of:
sensor inputs from one or more sensors in communication with the data processing hardware;
application inputs received from one or more software applications executing on the data processing hardware or a remote device in communication with the data processing hardware; or
user inputs received from a graphical user interface;
determining, by the data processing hardware, possible information for the user by executing one or more searches of data sources, at least one search based on the received inputs; executing, by the data processing hardware, behaviors having corresponding objectives, each behavior configured to evaluate the possible information and determine an evaluation based on whether the possible information is related to the corresponding objective, at least one behavior electing to participate or not participate in evaluating the possible information based on the received inputs, and at least one of the one or more searches based on the objective of at least one behavior participating in evaluating the possible information; and selecting, by the data processing hardware, suggested information from the possible information based on the evaluations of one or more behaviors for presentation to the user. 2. (canceled) 3. The method of claim 1, further comprising, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible information, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible information. 4. The method of claim 3, further comprising, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 5. The method of claim 4, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 6. The method of claim 3, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 7. The method of claim 1, further comprising displaying in the graphical user interface a representation of the user state based on the received inputs. 8. The method of claim 1, wherein at least one behavior evaluates the possible information based on at least one of a history of previously selected information for the user or one or more preferences of the user. 9. The method of claim 1, wherein a first behavior evaluates the possible information based on an evaluation by a second behavior of the possible information. 10. The method of claim 1, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. 11. A system comprising:
data processing hardware; and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that, when executed by the data processing hardware, cause the data processing hardware to perform operations comprising:
receiving inputs indicative of a user state of a user, the received inputs comprising at least one of:
sensor inputs from one or more sensors in communication with the data processing hardware;
application inputs received from one or more software applications executing on the data processing hardware or a remote device in communication with the data processing hardware; or
user inputs received from a graphical user interface;
determining possible information for the user by executing one or more searches of data sources, at least one search based on the received inputs;
executing behaviors having corresponding objectives, each behavior configured to evaluate the possible information and determine an evaluation based on whether the possible information is related to the corresponding objective, at least one behavior electing to participate or not participate in evaluating the possible information based on the received inputs, and at least one of the one or more searches based on the objective of at least one behavior participating in evaluating the possible information; and
selecting suggested information from the possible information based on the evaluations of one or more behaviors for presentation to the user. 12. (canceled) 13. The system of claim 11, wherein the operations further comprise, for each behavior:
determining whether any input of the received inputs is of an input type associated with the behavior; and when an input of the received inputs is of an input type associated with the behavior, incrementing an influence value associated with the behavior, wherein when the influence value of the behavior satisfies an influence value criteria, the behavior participates in evaluating the possible information, and when the influence value of the behavior does not satisfy the influence value criteria, the behavior does not participate in evaluating the possible information. 14. The system of claim 13, wherein the operations further comprise, for each behavior:
determining whether a decrement criteria is satisfied for the behavior; and decrementing the influence value of the behavior when the decrement criteria is satisfied. 15. The system of claim 14, wherein the decrement criteria is satisfied when a threshold period of time has passed since last incrementing the influence value. 16. The system of claim 13, wherein the evaluation of at least one behavior is weighted based on the corresponding influence value of the at least one behavior. 17. The system of claim 11, wherein the operations further comprise displaying in the graphical user interface a representation of the user state based on the received inputs. 18. The system of claim 11, wherein at least one behavior evaluates the possible information based on at least one of a history of previously selected information for the user or one or more preferences of the user. 19. The system of claim 11, wherein a first behavior evaluates the possible information based on an evaluation by a second behavior of the possible information. 20. The system of claim 11, wherein the received inputs comprise biometric data of the user and environmental data regarding a surrounding of the user. | 2,100 |
4,855 | 14,023,136 | 2,122 | A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received. | 1. A method comprising:
identifying text content of a page of a social networking system; extracting a topic from the text content; receiving information about an interaction between a user of the social networking system and the page; determining a sentiment of the user toward the text content based on the received information; inferring by a computer system that the user has a sentiment polarity toward the extracted topic corresponding to the user's sentiment toward the text content, the sentiment polarity indicating a positive or negative sentiment of the user toward the topic; receiving a second interaction from the user related to the extracted topic; and associating the inferred sentiment polarity of the user with the second interaction. 2. The method of claim 1, wherein the text content comprises at least one of posts or comments. 3. The method of claim 1, wherein the topic is extracted from the text content using lexicon-based analysis. 4. The method of claim 1, wherein the received information further comprises information about a separate interaction between another user with whom the user has established a connection in the social networking system and the page, and the sentiment polarity of the user is further inferred based on the information about the separate interaction. 5. The method of claim 1, further comprising:
receiving information about a separate interaction between another user in the social networking system and the interaction; and inferring the sentiment polarity of the user based on the information about the separate interaction. 6. The method of claim 1, further comprising:
receiving information about a separate interaction between the user and another interaction between another user in the social networking system and the page; and inferring the sentiment polarity of the user based on the information about the separate interaction. 7. The method of claim 1, further comprising:
adding the sentiment polarity to an insight page, the insight page comprising statistical analytics on the page and providing insight for predicting future trends based on the statistical analytics. 8. The method of claim 7, further comprising:
identifying a consistent trend of the user's sentiment polarity toward the content of the page based on the insight page; determining whether the inferred sentiment polarity follows the consistent trend; and responsive to determining that the inferred sentiment polarity does not follow the consistent trend, identifying the inferred sentiment polarity as an aberrant entry. 9. The method of claim 8, further comprising:
responsive to determining that the inferred sentiment polarity follows the consistent trend, identifying the inferred sentiment polarity as a correct entry. 10. The method of claim 7, further comprising:
identifying a consistent trend of the user's sentiment polarity toward the content of the page based on the insight page; and determining that the user has switched between a person displaying a negative sentiment polarity toward the content of the page and a person displaying a positive sentiment polarity toward the content of the page based on the consistent trend. 11. A method comprising:
identifying content of a page of a social networking system; receiving information about an interaction between a user of the social networking system and the page; inferring by a computer system a sentiment polarity of the user based on the received information, the sentiment polarity indicating a positive or negative sentiment of the user toward the content; receiving a second interaction from the user related to the content; and associating the sentiment polarity of the user with the second interaction. 12. The method of claim 11, wherein the interaction comprises at least one of liking, crossing-out, sharing, hiding, reporting, or commenting. 13. The method of claim 11, further comprising:
disqualifying sponsored stories related to the content of the page when the sentiment polarity of the user falls below a threshold. 14. The method of claim 11 wherein the step of inferring that the user has a sentiment polarity comprises:
identifying users of the social networking system possessing a strong sentiment polarity toward the content as a set of trusted users associated with the content;
determining a data set associated with each trusted user, the data set comprising information about interactions between said each trusted user and the page in conjunction with said each trusted user's sentiment polarity;
training a machine learning model using the determined data sets as a training set; and
inferring the sentiment polarity of the user using the trained machine learning model based on the received information. 15. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving a second interaction between a second user of the social networking system and the page, the second interaction comprising the second user liking the page;
determining that the second user has a positive sentiment polarity toward the content of the page; and
adding the second user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 16. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving an indication that a positive trusted user likes a comment on the page from an outside user, wherein the outside user does not belong to the set of trusted users and the comment has not been analyzed;
analyzing the comment to obtain a sentiment polarity of the comment toward the content of the page;
determining that the sentiment polarity of the comment is above a threshold sentiment polarity;
determining that the outside user has a positive sentiment polarity toward the content of the page; and
adding the outside user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 17. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
identifying an outside user who likes a set of comments on the page, wherein the outside user does not belong to the set of trusted users;
determining that the set of comments has more than a threshold number of comments;
determining that more than a threshold percentage of the set of comments is from the set of positive trusted users;
determining that the outside user has a positive sentiment polarity toward the content of the page; and
adding the outside user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 18. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving a set of comments from an outside user on the page, wherein the outside user does not belong to the set of trusted users;
analyzing each comment from the set of comments to obtain a sentiment polarity of said each comment toward the content of the page;
determining that the set of comments comprises a subset of comments, wherein each comment from the subset of comments has a sentiment polarity below a threshold sentiment polarity;
determining that the number of comments within the subset of comments exceeds a threshold number;
determining that the outside user has a negative sentiment polarity toward the content of the page; and
adding the outside user to a set of negative trusted users associated with the content of the page, the set of negative trusted users forming a subset of the set of trusted users. 19. The method of claim 16, wherein the step of analyzing comprises using lexicon-based analysis. 20. The method of claim 18, wherein the step of analyzing comprises using lexicon-based analysis. 21. The method of claim 14, wherein the training set is independent of language. 22. The method of claim 14, further comprising:
associating each trusted user's comments related to the content of the page with said each trusted user's sentiment polarity; forming a separate training set for training a bag-of-words sentiment analyzer, the separate training set comprising a set of comments from the trusted users in conjunction with each comment's sentiment polarity. 23. A method comprising:
identifying content of a page of a social networking system; receiving information about a first interaction between a non-trusted user of the social networking system and the page; inferring by a computer system a sentiment polarity of the non-trusted user based on the received information, the sentiment polarity indicating a negative sentiment of the non-trusted user toward the content; receiving a second interaction from a trusted user related to the content indicating a positive sentiment toward the first interaction by the non-trusted user; and adjusting the negative sentiment of the non-trusted user toward the content in a positive direction based on the positive sentiment indicated by the trusted user. 24. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:
identifying text content of a page of a social networking system; extracting a topic from the text content; receiving information about an interaction between a user of the social networking system and the page; determining a sentiment of the user toward the text content based on the received information; inferring by a computer system that the user has a sentiment polarity toward the extracted topic corresponding to the user's sentiment toward the text content, the sentiment polarity indicating a positive or negative sentiment of the user toward the topic; receiving a second interaction from the user related to the extracted topic; and associating the inferred sentiment polarity of the user with the second interaction. 25. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:
identifying content of a page of a social networking system; receiving information about an interaction between a user of the social networking system and the page; inferring by a computer system a sentiment polarity of the user based on the received information, the sentiment polarity indicating a positive or negative sentiment of the user toward the content; receiving a second interaction from the user related to the content; and associating the sentiment polarity of the user with the second interaction. | A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.1. A method comprising:
identifying text content of a page of a social networking system; extracting a topic from the text content; receiving information about an interaction between a user of the social networking system and the page; determining a sentiment of the user toward the text content based on the received information; inferring by a computer system that the user has a sentiment polarity toward the extracted topic corresponding to the user's sentiment toward the text content, the sentiment polarity indicating a positive or negative sentiment of the user toward the topic; receiving a second interaction from the user related to the extracted topic; and associating the inferred sentiment polarity of the user with the second interaction. 2. The method of claim 1, wherein the text content comprises at least one of posts or comments. 3. The method of claim 1, wherein the topic is extracted from the text content using lexicon-based analysis. 4. The method of claim 1, wherein the received information further comprises information about a separate interaction between another user with whom the user has established a connection in the social networking system and the page, and the sentiment polarity of the user is further inferred based on the information about the separate interaction. 5. The method of claim 1, further comprising:
receiving information about a separate interaction between another user in the social networking system and the interaction; and inferring the sentiment polarity of the user based on the information about the separate interaction. 6. The method of claim 1, further comprising:
receiving information about a separate interaction between the user and another interaction between another user in the social networking system and the page; and inferring the sentiment polarity of the user based on the information about the separate interaction. 7. The method of claim 1, further comprising:
adding the sentiment polarity to an insight page, the insight page comprising statistical analytics on the page and providing insight for predicting future trends based on the statistical analytics. 8. The method of claim 7, further comprising:
identifying a consistent trend of the user's sentiment polarity toward the content of the page based on the insight page; determining whether the inferred sentiment polarity follows the consistent trend; and responsive to determining that the inferred sentiment polarity does not follow the consistent trend, identifying the inferred sentiment polarity as an aberrant entry. 9. The method of claim 8, further comprising:
responsive to determining that the inferred sentiment polarity follows the consistent trend, identifying the inferred sentiment polarity as a correct entry. 10. The method of claim 7, further comprising:
identifying a consistent trend of the user's sentiment polarity toward the content of the page based on the insight page; and determining that the user has switched between a person displaying a negative sentiment polarity toward the content of the page and a person displaying a positive sentiment polarity toward the content of the page based on the consistent trend. 11. A method comprising:
identifying content of a page of a social networking system; receiving information about an interaction between a user of the social networking system and the page; inferring by a computer system a sentiment polarity of the user based on the received information, the sentiment polarity indicating a positive or negative sentiment of the user toward the content; receiving a second interaction from the user related to the content; and associating the sentiment polarity of the user with the second interaction. 12. The method of claim 11, wherein the interaction comprises at least one of liking, crossing-out, sharing, hiding, reporting, or commenting. 13. The method of claim 11, further comprising:
disqualifying sponsored stories related to the content of the page when the sentiment polarity of the user falls below a threshold. 14. The method of claim 11 wherein the step of inferring that the user has a sentiment polarity comprises:
identifying users of the social networking system possessing a strong sentiment polarity toward the content as a set of trusted users associated with the content;
determining a data set associated with each trusted user, the data set comprising information about interactions between said each trusted user and the page in conjunction with said each trusted user's sentiment polarity;
training a machine learning model using the determined data sets as a training set; and
inferring the sentiment polarity of the user using the trained machine learning model based on the received information. 15. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving a second interaction between a second user of the social networking system and the page, the second interaction comprising the second user liking the page;
determining that the second user has a positive sentiment polarity toward the content of the page; and
adding the second user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 16. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving an indication that a positive trusted user likes a comment on the page from an outside user, wherein the outside user does not belong to the set of trusted users and the comment has not been analyzed;
analyzing the comment to obtain a sentiment polarity of the comment toward the content of the page;
determining that the sentiment polarity of the comment is above a threshold sentiment polarity;
determining that the outside user has a positive sentiment polarity toward the content of the page; and
adding the outside user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 17. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
identifying an outside user who likes a set of comments on the page, wherein the outside user does not belong to the set of trusted users;
determining that the set of comments has more than a threshold number of comments;
determining that more than a threshold percentage of the set of comments is from the set of positive trusted users;
determining that the outside user has a positive sentiment polarity toward the content of the page; and
adding the outside user to a set of positive trusted users associated with the content of the page, the set of positive trusted users forming a subset of the set of trusted users. 18. The method of claim 14 wherein the step of identifying a set of trusted users comprises:
receiving a set of comments from an outside user on the page, wherein the outside user does not belong to the set of trusted users;
analyzing each comment from the set of comments to obtain a sentiment polarity of said each comment toward the content of the page;
determining that the set of comments comprises a subset of comments, wherein each comment from the subset of comments has a sentiment polarity below a threshold sentiment polarity;
determining that the number of comments within the subset of comments exceeds a threshold number;
determining that the outside user has a negative sentiment polarity toward the content of the page; and
adding the outside user to a set of negative trusted users associated with the content of the page, the set of negative trusted users forming a subset of the set of trusted users. 19. The method of claim 16, wherein the step of analyzing comprises using lexicon-based analysis. 20. The method of claim 18, wherein the step of analyzing comprises using lexicon-based analysis. 21. The method of claim 14, wherein the training set is independent of language. 22. The method of claim 14, further comprising:
associating each trusted user's comments related to the content of the page with said each trusted user's sentiment polarity; forming a separate training set for training a bag-of-words sentiment analyzer, the separate training set comprising a set of comments from the trusted users in conjunction with each comment's sentiment polarity. 23. A method comprising:
identifying content of a page of a social networking system; receiving information about a first interaction between a non-trusted user of the social networking system and the page; inferring by a computer system a sentiment polarity of the non-trusted user based on the received information, the sentiment polarity indicating a negative sentiment of the non-trusted user toward the content; receiving a second interaction from a trusted user related to the content indicating a positive sentiment toward the first interaction by the non-trusted user; and adjusting the negative sentiment of the non-trusted user toward the content in a positive direction based on the positive sentiment indicated by the trusted user. 24. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:
identifying text content of a page of a social networking system; extracting a topic from the text content; receiving information about an interaction between a user of the social networking system and the page; determining a sentiment of the user toward the text content based on the received information; inferring by a computer system that the user has a sentiment polarity toward the extracted topic corresponding to the user's sentiment toward the text content, the sentiment polarity indicating a positive or negative sentiment of the user toward the topic; receiving a second interaction from the user related to the extracted topic; and associating the inferred sentiment polarity of the user with the second interaction. 25. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:
identifying content of a page of a social networking system; receiving information about an interaction between a user of the social networking system and the page; inferring by a computer system a sentiment polarity of the user based on the received information, the sentiment polarity indicating a positive or negative sentiment of the user toward the content; receiving a second interaction from the user related to the content; and associating the sentiment polarity of the user with the second interaction. | 2,100 |
4,856 | 14,183,423 | 2,176 | An electronic device in communication with a haptic feedback device that includes a touch-sensitive surface sends instructions to the haptic display to display a document with multiple characters. A respective character is displayed at a respective character size. While the haptic display is displaying the document, the device receives an input that corresponds to a finger contact at a first location on the haptic display. In response to receiving the input, the device associates a first cursor position with the first location, determines a first character in the plurality of characters adjacent to the first cursor position, and sends instructions to the haptic display to output a Braille character, at the first location, that corresponds to the first character. A respective Braille character is output on the haptic display at a respective Braille character size that is larger than the corresponding displayed character size. | 1. An electronic device in communication with a haptic display that includes a touch-sensitive surface, comprising:
one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
sending instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display;
while the haptic display is displaying at least the portion of the document, receiving an input that corresponds to a finger contact at a first location on the haptic display; and,
in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associating a first cursor position with the first location on the haptic display;
determining a first character in the plurality of characters adjacent to the first cursor position; and
sending instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 2. The device of claim 1, including instructions for:
determining that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, sending instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 3. The device of claim 1, including instructions for:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determining that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associating a second cursor position with the second location on the haptic display;
determining a second character in the plurality of characters adjacent to the second cursor position; and
sending instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 4. The device of claim 1, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 5. The device of claim 1, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 6. The device of claim 1, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 7. The device of claim 1, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 8. The device of claim 1, including instructions for:
outputting audio signals that correspond to one or more Braille characters output by the haptic display. 9. A method, comprising:
at an electronic device in communication with a haptic display that includes a touch-sensitive surface:
sending instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display;
while the haptic display is displaying at least the portion of the document, receiving an input that corresponds to a finger contact at a first location on the haptic display; and,
in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associating a first cursor position with the first location on the haptic display;
determining a first character in the plurality of characters adjacent to the first cursor position; and
sending instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 10. The method of claim 9, including:
determining that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, sending instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 11. The method of claim 9, including:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determining that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associating a second cursor position with the second location on the haptic display;
determining a second character in the plurality of characters adjacent to the second cursor position; and
sending instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 12. The method of claim 9, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 13. The method of claim 9, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 14. The method of claim 9, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 15. The method of claim 9, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 16. The method of claim 9, including:
outputting audio signals that correspond to one or more Braille characters output by the haptic display. 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device in communication with a haptic display that includes a touch-sensitive surface, cause the device to:
send instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display; while the haptic display is displaying at least the portion of the document, receive an input that corresponds to a finger contact at a first location on the haptic display; and, in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associate a first cursor position with the first location on the haptic display;
determine a first character in the plurality of characters adjacent to the first cursor position; and
send instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 18. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
determine that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, send instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 19. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determine that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associate a second cursor position with the second location on the haptic display;
determine a second character in the plurality of characters adjacent to the second cursor position; and
send instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 20. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 21. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 22. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 23. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 24. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
output audio signals that correspond to one or more Braille characters output by the haptic display. | An electronic device in communication with a haptic feedback device that includes a touch-sensitive surface sends instructions to the haptic display to display a document with multiple characters. A respective character is displayed at a respective character size. While the haptic display is displaying the document, the device receives an input that corresponds to a finger contact at a first location on the haptic display. In response to receiving the input, the device associates a first cursor position with the first location, determines a first character in the plurality of characters adjacent to the first cursor position, and sends instructions to the haptic display to output a Braille character, at the first location, that corresponds to the first character. A respective Braille character is output on the haptic display at a respective Braille character size that is larger than the corresponding displayed character size.1. An electronic device in communication with a haptic display that includes a touch-sensitive surface, comprising:
one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
sending instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display;
while the haptic display is displaying at least the portion of the document, receiving an input that corresponds to a finger contact at a first location on the haptic display; and,
in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associating a first cursor position with the first location on the haptic display;
determining a first character in the plurality of characters adjacent to the first cursor position; and
sending instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 2. The device of claim 1, including instructions for:
determining that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, sending instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 3. The device of claim 1, including instructions for:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determining that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associating a second cursor position with the second location on the haptic display;
determining a second character in the plurality of characters adjacent to the second cursor position; and
sending instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 4. The device of claim 1, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 5. The device of claim 1, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 6. The device of claim 1, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 7. The device of claim 1, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 8. The device of claim 1, including instructions for:
outputting audio signals that correspond to one or more Braille characters output by the haptic display. 9. A method, comprising:
at an electronic device in communication with a haptic display that includes a touch-sensitive surface:
sending instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display;
while the haptic display is displaying at least the portion of the document, receiving an input that corresponds to a finger contact at a first location on the haptic display; and,
in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associating a first cursor position with the first location on the haptic display;
determining a first character in the plurality of characters adjacent to the first cursor position; and
sending instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 10. The method of claim 9, including:
determining that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, sending instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 11. The method of claim 9, including:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determining that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associating a second cursor position with the second location on the haptic display;
determining a second character in the plurality of characters adjacent to the second cursor position; and
sending instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 12. The method of claim 9, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 13. The method of claim 9, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 14. The method of claim 9, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 15. The method of claim 9, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 16. The method of claim 9, including:
outputting audio signals that correspond to one or more Braille characters output by the haptic display. 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device in communication with a haptic display that includes a touch-sensitive surface, cause the device to:
send instructions to the haptic display to display at least a portion of a document that includes a plurality of characters, wherein a respective character is displayed at a respective displayed character size on the haptic display; while the haptic display is displaying at least the portion of the document, receive an input that corresponds to a finger contact at a first location on the haptic display; and, in response to receiving the input that corresponds to the finger contact at the first location on the haptic display:
associate a first cursor position with the first location on the haptic display;
determine a first character in the plurality of characters adjacent to the first cursor position; and
send instructions to the haptic display to output a Braille character, at the first location on the haptic display, that corresponds to the first character, wherein a respective Braille character is output on the haptic display at a respective Braille character size, the respective Braille character size being larger than the corresponding displayed character size. 18. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
determine that the finger contact remains at the first location on the haptic display; and, in response to determining that the finger contact remains at the first location on the haptic display, send instructions to the haptic display to horizontally scroll multiple Braille characters, at the first location on the haptic display, that correspond to displayed characters following the first character in the plurality of characters. 19. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
after sending instructions to the haptic display to output a Braille character that corresponds to the first character, determine that the finger contact has moved across the haptic display to a second location; and, in accordance with the determination that the finger contact has moved across the haptic display to the second location on the haptic display:
associate a second cursor position with the second location on the haptic display;
determine a second character in the plurality of characters adjacent to the second cursor position; and
send instructions to the haptic display to output a Braille character that corresponds to the second character, at a Braille character size that is larger than the corresponding displayed character size of the second character, at the second location on the haptic display. 20. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a word displayed on the haptic display; and the first cursor position corresponds to an initial character of the word. 21. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a line of text displayed on the haptic display; and the first cursor position corresponds to an initial character of the line of text. 22. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a sentence of the document; and the first cursor position corresponds to an initial character of the sentence. 23. The non-transitory computer readable storage medium of claim 17, wherein:
the first location corresponds to a respective user interface element of the document; and the first cursor position corresponds to an initial character of a text that corresponds to the respective user interface element. 24. The non-transitory computer readable storage medium of claim 17, including instructions which, when executed, cause the device to:
output audio signals that correspond to one or more Braille characters output by the haptic display. | 2,100 |
4,857 | 14,635,007 | 2,182 | Mechanisms are provided for performing a matrix operation. A processor is configured to perform hybrid compressed representation matrix operations on an input matrix that comprises zero value and non-zero value entries. A first compressed representation data structure corresponding to the input matrix, and a second compressed representation data structure are obtained, each utilizing a different format for representing the non-zero value entries of the input matrix. A matrix operation is iteratively executed on the input matrix using the first compressed representation data structure and the second compressed representation data structure. The first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. | 1. A method, in a data processing system comprising a processor and a memory, for performing a matrix operation, the method comprising:
configuring the processor of the data processing system to perform hybrid compressed representation matrix operations on an input matrix; receiving, by the processor, the input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtaining, by the processor, a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtaining, by the processor, a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively executing, by the processor, a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. 2. The method of claim 1, wherein the first compressed representation data structure is a Compact Sparse Column (CSC) compressed representation data structure and the second compressed representation data structure is a Compact Sparse Row (CSR) compressed representation data structure. 3. The method of claim 2, wherein the first subset of iterations in which the CSC compressed representation data structure is utilized comprises the first two iterations of the matrix operation. 4. The method of claim 3, wherein the second subset of iterations in which the CSR compressed representation data structure is utilized comprises all iterations subsequent to the second iteration of the matrix operation. 5. The method of claim 1, wherein iteratively executing the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, further comprises:
determining a sparsity of an input vector for a current iteration; determining if the sparsity of the input vector has a predetermined relationship to a threshold sparsity value; and selecting either the first compressed representation data structure or the second compressed representation data structure based on results of determining if the sparsity of the input vector has the predetermined relationship to the threshold sparsity value. 6. The method of claim 5, wherein the predetermined relationship comprises the sparsity of the input vector indicating the input vector has a sparsity less than a threshold sparsity value, and wherein in response to determining that the predetermined relationship does not exist, selecting the first compressed representation data structure, and in response to determining that the predetermined relationship does exist, selecting the second compressed representation data structure. 7. The method of claim 1, wherein entries in the input matrix comprise indicators of relationships between concepts found in a corpus of information, and wherein the input vector comprises elements for which related concepts are to be identified by the matrix operation. 8. The method of claim 1, wherein iteratively executing the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, further comprises utilizing a plurality of worker threads to execute portions of the second subset of iterations in parallel. 9. The method of claim 8, wherein each worker thread in the plurality of worker threads executes a partial matrix vector multiplication operation of an allocated row of the input matrix based on the input vector, and wherein results of each of the partial matrix vector multiplication operations are combined to generate a final result of the matrix operation. 10. The method of claim 1, wherein the data processing system implements a question and answer (QA) system, and wherein the input vector represents features of a natural language question input to the QA system and the input matrix represents a graph of concepts and relationships between concepts present in one or more electronic documents of a corpus of electronic documents. 11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:
receive an input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtain a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtain a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively execute a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. 12. The computer program product of claim 11, wherein the first compressed representation data structure is a Compact Sparse Column (CSC) compressed representation data structure and the second compressed representation data structure is a Compact Sparse Row (CSR) compressed representation data structure. 13. The computer program product of claim 12, wherein the first subset of iterations in which the CSC compressed representation data structure is utilized comprises the first two iterations of the matrix operation. 14. The computer program product of claim 13, wherein the second subset of iterations in which the CSR compressed representation data structure is utilized comprises all iterations subsequent to the second iteration of the matrix operation. 15. The computer program product of claim 11, wherein the computer readable program causes the computing device to iteratively execute the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure at least by:
determining a sparsity of an input vector for a current iteration; determining if the sparsity of the input vector has a predetermined relationship to a threshold sparsity value; and selecting either the first compressed representation data structure or the second compressed representation data structure based on results of determining if the sparsity of the input vector has the predetermined relationship to the threshold sparsity value. 16. The computer program product of claim 15, wherein the predetermined relationship comprises the sparsity of the input vector indicating the input vector has a sparsity less than a threshold sparsity value, and wherein in response to determining that the predetermined relationship does not exist, the first compressed representation data structure is selected, and in response to determining that the predetermined relationship does exist, the second compressed representation data structure is selected. 17. The computer program product of claim 11, wherein entries in the input matrix comprise indicators of relationships between concepts found in a corpus of information, and wherein the input vector comprises elements for which related concepts are to be identified by the matrix operation. 18. The computer program product of claim 11, wherein the computer readable program causes the computing device to iteratively execute the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, at least by utilizing a plurality of worker threads to execute portions of the second subset of iterations in parallel. 19. The computer program product of claim 11, wherein the computing device implements a question and answer (QA) system, and wherein the input vector represents features of a natural language question input to the QA system and the input matrix represents a graph of concepts and relationships between concepts present in one or more electronic documents of a corpus of electronic documents. 20. An apparatus comprising:
a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, configure the processor to perform cluster-based matrix reordering of an input matrix and to: receive an input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtain a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtain a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively execute a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. | Mechanisms are provided for performing a matrix operation. A processor is configured to perform hybrid compressed representation matrix operations on an input matrix that comprises zero value and non-zero value entries. A first compressed representation data structure corresponding to the input matrix, and a second compressed representation data structure are obtained, each utilizing a different format for representing the non-zero value entries of the input matrix. A matrix operation is iteratively executed on the input matrix using the first compressed representation data structure and the second compressed representation data structure. The first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations.1. A method, in a data processing system comprising a processor and a memory, for performing a matrix operation, the method comprising:
configuring the processor of the data processing system to perform hybrid compressed representation matrix operations on an input matrix; receiving, by the processor, the input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtaining, by the processor, a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtaining, by the processor, a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively executing, by the processor, a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. 2. The method of claim 1, wherein the first compressed representation data structure is a Compact Sparse Column (CSC) compressed representation data structure and the second compressed representation data structure is a Compact Sparse Row (CSR) compressed representation data structure. 3. The method of claim 2, wherein the first subset of iterations in which the CSC compressed representation data structure is utilized comprises the first two iterations of the matrix operation. 4. The method of claim 3, wherein the second subset of iterations in which the CSR compressed representation data structure is utilized comprises all iterations subsequent to the second iteration of the matrix operation. 5. The method of claim 1, wherein iteratively executing the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, further comprises:
determining a sparsity of an input vector for a current iteration; determining if the sparsity of the input vector has a predetermined relationship to a threshold sparsity value; and selecting either the first compressed representation data structure or the second compressed representation data structure based on results of determining if the sparsity of the input vector has the predetermined relationship to the threshold sparsity value. 6. The method of claim 5, wherein the predetermined relationship comprises the sparsity of the input vector indicating the input vector has a sparsity less than a threshold sparsity value, and wherein in response to determining that the predetermined relationship does not exist, selecting the first compressed representation data structure, and in response to determining that the predetermined relationship does exist, selecting the second compressed representation data structure. 7. The method of claim 1, wherein entries in the input matrix comprise indicators of relationships between concepts found in a corpus of information, and wherein the input vector comprises elements for which related concepts are to be identified by the matrix operation. 8. The method of claim 1, wherein iteratively executing the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, further comprises utilizing a plurality of worker threads to execute portions of the second subset of iterations in parallel. 9. The method of claim 8, wherein each worker thread in the plurality of worker threads executes a partial matrix vector multiplication operation of an allocated row of the input matrix based on the input vector, and wherein results of each of the partial matrix vector multiplication operations are combined to generate a final result of the matrix operation. 10. The method of claim 1, wherein the data processing system implements a question and answer (QA) system, and wherein the input vector represents features of a natural language question input to the QA system and the input matrix represents a graph of concepts and relationships between concepts present in one or more electronic documents of a corpus of electronic documents. 11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:
receive an input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtain a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtain a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively execute a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. 12. The computer program product of claim 11, wherein the first compressed representation data structure is a Compact Sparse Column (CSC) compressed representation data structure and the second compressed representation data structure is a Compact Sparse Row (CSR) compressed representation data structure. 13. The computer program product of claim 12, wherein the first subset of iterations in which the CSC compressed representation data structure is utilized comprises the first two iterations of the matrix operation. 14. The computer program product of claim 13, wherein the second subset of iterations in which the CSR compressed representation data structure is utilized comprises all iterations subsequent to the second iteration of the matrix operation. 15. The computer program product of claim 11, wherein the computer readable program causes the computing device to iteratively execute the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure at least by:
determining a sparsity of an input vector for a current iteration; determining if the sparsity of the input vector has a predetermined relationship to a threshold sparsity value; and selecting either the first compressed representation data structure or the second compressed representation data structure based on results of determining if the sparsity of the input vector has the predetermined relationship to the threshold sparsity value. 16. The computer program product of claim 15, wherein the predetermined relationship comprises the sparsity of the input vector indicating the input vector has a sparsity less than a threshold sparsity value, and wherein in response to determining that the predetermined relationship does not exist, the first compressed representation data structure is selected, and in response to determining that the predetermined relationship does exist, the second compressed representation data structure is selected. 17. The computer program product of claim 11, wherein entries in the input matrix comprise indicators of relationships between concepts found in a corpus of information, and wherein the input vector comprises elements for which related concepts are to be identified by the matrix operation. 18. The computer program product of claim 11, wherein the computer readable program causes the computing device to iteratively execute the matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, at least by utilizing a plurality of worker threads to execute portions of the second subset of iterations in parallel. 19. The computer program product of claim 11, wherein the computing device implements a question and answer (QA) system, and wherein the input vector represents features of a natural language question input to the QA system and the input matrix represents a graph of concepts and relationships between concepts present in one or more electronic documents of a corpus of electronic documents. 20. An apparatus comprising:
a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, configure the processor to perform cluster-based matrix reordering of an input matrix and to: receive an input matrix, wherein the input matrix comprises zero value and non-zero value entries; obtain a first compressed representation data structure corresponding to the input matrix, wherein the first compressed representation data structure represents the non-zero value entries of the input matrix in a first compressed format; obtain a second compressed representation data structure corresponding to the input matrix, wherein the second compressed representation data structure represents the non-zero value entries of the input matrix in a second compressed format different from the first compressed format; and iteratively execute a matrix operation on the input matrix using the first compressed representation data structure and the second compressed representation data structure, wherein the first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations. | 2,100 |
4,858 | 14,055,345 | 2,181 | A system for managing virtual memory. The system includes a first processing unit configured to execute a first operation that references a first virtual memory address. The system also includes a first memory management unit (MMU) associated with the first processing unit and configured to generate a first page fault upon determining that a first page table that is stored in a first memory unit associated with the first processing unit does not include a mapping corresponding to the first virtual memory address. The system further includes a first copy engine associated with the first processing unit. The first copy engine is configured to read a first command queue to determine a first mapping that corresponds to the first virtual memory address and is included in a first page state directory. The first copy engine is also configured to update the first page table to include the first mapping. | 1. A system for tracking page faults, the system comprising:
a first processing entity configured to:
execute a first instruction that is associated with a first virtual memory address,
determine that a first page table associated with the first processing entity does not include a first mapping associated with the first virtual memory address, and
transmit a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping,
wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 2. The system of claim 1, wherein the first processing entity includes a memory management unit that is configured to determine that the first page table does not include the first mapping and, in response, to transmit the first fault buffer entry to the fault buffer. 3. The system of claim 2, wherein:
the first processing entity further includes a first streaming multiprocessor and a second streaming multiprocessor; the first streaming multiprocessor is configured to execute the first instruction; the second streaming multiprocessor is configured to execute a second instruction that is associated with a second virtual memory address; and the memory management unit is configured to determine that the first page table does not include a second mapping associated with the second virtual memory address, and, in response, to transmit a second page fault to the fault buffer. 4. The system of claim 3, wherein:
the first streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the first mapping; and the second streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the second mapping. 5. The system of claim 4, wherein the first streaming multiprocessor is further configured to resume execution and attempt to execute the first instruction again, and the second streaming multiprocessor is further configured to resume execution and attempt to execute the second instruction again. 6. The system of claim 1, further comprising a second processing entity configured to execute a first page fault sequence to resolve a page fault associated with the first fault buffer entry. 7. The system of claim 6, further comprising a command queue, wherein executing the first page fault sequence includes transmitting one or more commands to the command queue, the one or more commands being configured to cause the first processing entity to execute a first set of operations associated with the first page fault sequence. 8. The system of claim 7, wherein the first processing entity further includes a copy engine configured to execute the first set of operations. 9. The system of claim 8, wherein the copy engine is configured to execute a first operation included in the first set of operations to modify the first page table to include the first mapping. 10. A computing device for tracking page faults, the parallel processing unit comprising:
a first processing entity configured to:
execute a first instruction that is associated with a first virtual memory address,
determine that a first page table associated with the first processing entity does not include a first mapping associated with the first virtual memory address, and
transmit a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping,
wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 11. The computing device of claim 10, wherein the first processing entity includes a memory management unit that is configured to determine that the first page table does not include the first mapping and, in response, to transmit the first fault buffer entry to the fault buffer. 12. The computing device of claim 11, wherein:
the first processing entity further includes a first streaming multiprocessor and a second streaming multiprocessor; the first streaming multiprocessor is configured to execute the first instruction; the second streaming multiprocessor is configured to execute a second instruction that is associated with a second virtual memory address; and the memory management unit is configured to determine that the first page table does not include a second mapping associated with the second virtual memory address, and, in response, to transmit a second page fault to the fault buffer. 13. The computing device of claim 12, wherein:
the first streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the first mapping; and the second streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the second mapping. 14. The computing device of claim 13, wherein the first streaming multiprocessor is further configured to resume execution and attempt to execute the first instruction again, and the second streaming multiprocessor is further configured to resume execution and attempt to execute the second instruction again. 15. The computing device of claim 10, further comprising a command queue configured to store one or more commands associated with a page fault sequence. 16. The computing device of claim 15, wherein the first processing entity further includes a copy engine configured to execute the one or more commands. 17. A method for tracking page faults, the method comprising:
executing a first instruction that is associated with a first virtual memory address; determining that a first page table associated with a first processing entity does not include a first mapping associated with the first virtual memory address; and transmitting a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping, wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 18. The method of claim 17, further comprising executing a page fault sequence to resolve a page fault associated with the first fault buffer entry. 19. The method of claim 18, wherein executing the first page fault sequence includes transmitting one or more commands to a command queue, the one or more commands being configured to cause the first processing entity to execute a first set of operations associated with the first page fault sequence. 20. The method of claim 19, further comprising executing a first operation included in the first set of operations to modify the first page table to include the first mapping. | A system for managing virtual memory. The system includes a first processing unit configured to execute a first operation that references a first virtual memory address. The system also includes a first memory management unit (MMU) associated with the first processing unit and configured to generate a first page fault upon determining that a first page table that is stored in a first memory unit associated with the first processing unit does not include a mapping corresponding to the first virtual memory address. The system further includes a first copy engine associated with the first processing unit. The first copy engine is configured to read a first command queue to determine a first mapping that corresponds to the first virtual memory address and is included in a first page state directory. The first copy engine is also configured to update the first page table to include the first mapping.1. A system for tracking page faults, the system comprising:
a first processing entity configured to:
execute a first instruction that is associated with a first virtual memory address,
determine that a first page table associated with the first processing entity does not include a first mapping associated with the first virtual memory address, and
transmit a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping,
wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 2. The system of claim 1, wherein the first processing entity includes a memory management unit that is configured to determine that the first page table does not include the first mapping and, in response, to transmit the first fault buffer entry to the fault buffer. 3. The system of claim 2, wherein:
the first processing entity further includes a first streaming multiprocessor and a second streaming multiprocessor; the first streaming multiprocessor is configured to execute the first instruction; the second streaming multiprocessor is configured to execute a second instruction that is associated with a second virtual memory address; and the memory management unit is configured to determine that the first page table does not include a second mapping associated with the second virtual memory address, and, in response, to transmit a second page fault to the fault buffer. 4. The system of claim 3, wherein:
the first streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the first mapping; and the second streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the second mapping. 5. The system of claim 4, wherein the first streaming multiprocessor is further configured to resume execution and attempt to execute the first instruction again, and the second streaming multiprocessor is further configured to resume execution and attempt to execute the second instruction again. 6. The system of claim 1, further comprising a second processing entity configured to execute a first page fault sequence to resolve a page fault associated with the first fault buffer entry. 7. The system of claim 6, further comprising a command queue, wherein executing the first page fault sequence includes transmitting one or more commands to the command queue, the one or more commands being configured to cause the first processing entity to execute a first set of operations associated with the first page fault sequence. 8. The system of claim 7, wherein the first processing entity further includes a copy engine configured to execute the first set of operations. 9. The system of claim 8, wherein the copy engine is configured to execute a first operation included in the first set of operations to modify the first page table to include the first mapping. 10. A computing device for tracking page faults, the parallel processing unit comprising:
a first processing entity configured to:
execute a first instruction that is associated with a first virtual memory address,
determine that a first page table associated with the first processing entity does not include a first mapping associated with the first virtual memory address, and
transmit a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping,
wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 11. The computing device of claim 10, wherein the first processing entity includes a memory management unit that is configured to determine that the first page table does not include the first mapping and, in response, to transmit the first fault buffer entry to the fault buffer. 12. The computing device of claim 11, wherein:
the first processing entity further includes a first streaming multiprocessor and a second streaming multiprocessor; the first streaming multiprocessor is configured to execute the first instruction; the second streaming multiprocessor is configured to execute a second instruction that is associated with a second virtual memory address; and the memory management unit is configured to determine that the first page table does not include a second mapping associated with the second virtual memory address, and, in response, to transmit a second page fault to the fault buffer. 13. The computing device of claim 12, wherein:
the first streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the first mapping; and the second streaming multiprocessor is configured to stall in response to the memory management unit determining that the first page table does not include the second mapping. 14. The computing device of claim 13, wherein the first streaming multiprocessor is further configured to resume execution and attempt to execute the first instruction again, and the second streaming multiprocessor is further configured to resume execution and attempt to execute the second instruction again. 15. The computing device of claim 10, further comprising a command queue configured to store one or more commands associated with a page fault sequence. 16. The computing device of claim 15, wherein the first processing entity further includes a copy engine configured to execute the one or more commands. 17. A method for tracking page faults, the method comprising:
executing a first instruction that is associated with a first virtual memory address; determining that a first page table associated with a first processing entity does not include a first mapping associated with the first virtual memory address; and transmitting a first fault buffer entry to a fault buffer in response to determining that that first page table does not include the first mapping, wherein the fault buffer is configured to store a plurality of fault buffer entries received from at least the first processing entity. 18. The method of claim 17, further comprising executing a page fault sequence to resolve a page fault associated with the first fault buffer entry. 19. The method of claim 18, wherein executing the first page fault sequence includes transmitting one or more commands to a command queue, the one or more commands being configured to cause the first processing entity to execute a first set of operations associated with the first page fault sequence. 20. The method of claim 19, further comprising executing a first operation included in the first set of operations to modify the first page table to include the first mapping. | 2,100 |
4,859 | 14,610,285 | 2,162 | A system using pulsed leader consensus management that can manage storage by electing a leader node from a group of nodes and fulfilling read requests for the group of nodes if a sync state is not expired. The sync state can correspond to two conditions: first, that the nodes in the group direct the write requests for the group to the leader node; second, that a health pulse is detected, wherein the health pulse is generated if the leader node is alive (e.g. has not failed, terminated, or become non-responsive). If either of the two conditions fail, the sync state can be considered expired and the group of nodes may fall back to consensus-based read mechanisms, such as Paxos, until a new leader node is elected. | 1. A method for managing storage, the method comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 2. The method of claim 1, further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 3. The method of claim 1, wherein consensus scheme-reads are Paxos-based read operations. 4. The method of claim 1, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 5. The method of claim 4, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 6. The method of claim 4, wherein the health pulse corresponds to the leader node such that if the leader node fails the health pulse will not be detected. 7. The method of claim 4, wherein the health pulse is generated on a first time interval. 8. The method of claim 7, wherein the sync state is expired when the health pulse is not detected within a second time interval. 9. The method of claim 1, wherein the group of two or more nodes are informed of the leader node and agree to send all write requests to the leader node. 10. The method of claim 2, further comprising electing a new leader node when the sync state is expired. 11. The method of claim 10, wherein electing a new leader node comprises:
electing a node of the group of two or more nodes as the new leader node based on at least one or more parameters; entering a transitional state at the new leader node; scanning the group of two or more nodes to identify data being written to nodes of the group of nodes; aggregating the data being written at the nodes of the group of two or more nodes at the leader node; and notifying the nodes of the group of two or more nodes of a status and identity of the new leader node to exit the transitional state. 12. A computer program product embodied on a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process for implementing a method for storage management, the process comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 13. The computer program product of claim 12, the process further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 14. The computer program product of claim 12, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 15. The computer program product of claim 14, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 16. A system for managing storage with a processor, the processor performing actions when executing a instructions of a set of instructions stored in a memory, the actions comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 17. The system of claim 16, the actions further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 18. The system of claim 16, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 19. The system of claim 18, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 20. The system of claim 18, wherein the health pulse corresponds to the leader node such that if the leader node fails the health pulse will not be detected. | A system using pulsed leader consensus management that can manage storage by electing a leader node from a group of nodes and fulfilling read requests for the group of nodes if a sync state is not expired. The sync state can correspond to two conditions: first, that the nodes in the group direct the write requests for the group to the leader node; second, that a health pulse is detected, wherein the health pulse is generated if the leader node is alive (e.g. has not failed, terminated, or become non-responsive). If either of the two conditions fail, the sync state can be considered expired and the group of nodes may fall back to consensus-based read mechanisms, such as Paxos, until a new leader node is elected.1. A method for managing storage, the method comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 2. The method of claim 1, further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 3. The method of claim 1, wherein consensus scheme-reads are Paxos-based read operations. 4. The method of claim 1, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 5. The method of claim 4, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 6. The method of claim 4, wherein the health pulse corresponds to the leader node such that if the leader node fails the health pulse will not be detected. 7. The method of claim 4, wherein the health pulse is generated on a first time interval. 8. The method of claim 7, wherein the sync state is expired when the health pulse is not detected within a second time interval. 9. The method of claim 1, wherein the group of two or more nodes are informed of the leader node and agree to send all write requests to the leader node. 10. The method of claim 2, further comprising electing a new leader node when the sync state is expired. 11. The method of claim 10, wherein electing a new leader node comprises:
electing a node of the group of two or more nodes as the new leader node based on at least one or more parameters; entering a transitional state at the new leader node; scanning the group of two or more nodes to identify data being written to nodes of the group of nodes; aggregating the data being written at the nodes of the group of two or more nodes at the leader node; and notifying the nodes of the group of two or more nodes of a status and identity of the new leader node to exit the transitional state. 12. A computer program product embodied on a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process for implementing a method for storage management, the process comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 13. The computer program product of claim 12, the process further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 14. The computer program product of claim 12, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 15. The computer program product of claim 14, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 16. A system for managing storage with a processor, the processor performing actions when executing a instructions of a set of instructions stored in a memory, the actions comprising:
receiving a read request for data managed by a group of two or more nodes at a node of the group of two or more nodes, wherein a leader node is elected from the group of two or more nodes; determining that a sync state of the leader node is expire, the sync state corresponding to the read request and to the group of two or more nodes, wherein the sync state is expired at least because the leader node has failed or is unresponsive; and reading from two or more storage devices using a plurality of nodes in response to the read request while the leader node has failed or is unresponsive, the node implementing a consensus scheme before a new leader node is elected to identify data to transmit to one or more users associated with the read request. 17. The system of claim 16, the actions further comprising:
receiving a second read request at a second node of the group of two or more nodes for data managed by the group of two or more nodes; determining that a second sync state of the new leader node is not expired, the second sync state corresponding to the second read request and to the group of two of more nodes; and reading from one or more storage devices using only the new leader node in response to the second read request while the second sync state is not expired. 18. The system of claim 16, wherein the sync state is expired if a health pulse that corresponds to the group of two or more nodes is not detected. 19. The system of claim 18, wherein the sync state is expired if write requests managed by the group of two or more nodes are not routed to the leader node. 20. The system of claim 18, wherein the health pulse corresponds to the leader node such that if the leader node fails the health pulse will not be detected. | 2,100 |
4,860 | 13,230,737 | 2,141 | Systems and methods for use with a pointer invocable navigational user interface are provided. The system may include a navigational module configured to provide a navigational user interface having a hidden invocation region positioned along a logical left edge of a display. Application program graphical user interfaces (GUIs) may be ordered in an application order. The navigational module may be configured to detect an invocation pointer input in the hidden invocation region. Upon detecting the invocation pointer input, the navigational module may be to configured display a visible GUI selector element of the navigational user interface including a preview of a most recently used application program GUI not currently in focus. While the preview is displayed, a focus switching input from the pointer device may be received. In response to the focus switching input, focus may be switched to the application program GUI for which the preview is displayed. | 1. A computerized system for displaying a pointer invocable navigational user interface, the system comprising a computing device including a processor, memory, and a display, the processor being configured to execute a navigational module, the navigational module being configured to:
provide a navigational user interface having a hidden invocation region positioned along an edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detect an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, display a visible GUI selector element of the navigational user interface including a focus switch selector, configured to, upon selection, switch focus according to the application order to a next application program graphical user interface not currently displayed, the focus switch selector including a graphical indication of the next application program graphical user interface in the application order; receive a scroll input to scroll through the application order and, in response, update the visible GUI selector element to include a graphical indication of the next application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order; while the visible GUI selector element is displayed, receive a focus switching input via the focus switch selector from the pointer device; in response to the focus switching input, switch focus of the multi-window desktop environment to the next application program graphical user interface and display the next application program graphical user interface. 2. The computerized system of claim 1, where the navigational user interface has no visible graphical user interface element displayed in the hidden invocation region when the navigational user interface is in a hidden state. 3. The computerized system of claim 2, where the navigational user interface includes a dismissal region, and the navigational module is further configured to, upon detection of a dismissal pointer input received from the pointer device in the dismissal region, place the navigational user interface in the hidden state. 4. The computerized system of claim 3, where the dismissal region includes space on the display outside of the invocation region prior to receiving the focus switching input, and includes all space on the display outside of the visible GUI selector element after receiving the focus switching input, and where the invocation region is a column of single pixels, not including pixels proximate corner regions of the display. 5. The computerized system of claim 1, where the visible GUI selector element is displayed upon passage of a threshold period of time after detecting the invocation pointer input in the invocation region. 6. The computerized system of claim 1, where the graphical indication includes one of an icon, a preview of the next application program graphical user interface, or a text label, and the focus switch selector includes one of a button, a selectable preview, or a selectable icon. 7. The computerized system of claim 1, where, upon detection of a change in the vertical position of the invocation pointer input, the navigational module is further configured to reposition the visible GUI selector element to be aligned with a new position of the invocation pointer input. 8. The computerized system of claim 1, where the navigational module is further configured to, in response to receiving a drag and drop input of the visible GUI selector element, switch focus of the multi-window desktop environment to the next application program graphical user interface at a position indicated by the drag and drop input. 9. The computerized system of claim 1, where the navigational module is further configured to, in response to receiving a context menu pointer input in the invocation region, provide a context menu including options, the options including an option to display the next application program graphical user interface in a an alternate option-specific position, and switch focus to the next application program graphical user interface. 10. The computerized system of claim 1, where the navigational module is further configured to, upon detection of the invocation pointer input in a system portion of the hidden invocation region, display a system menu providing system command options, the system menu being separate from the visible GUI selector element. 11. A method executable by a computing device for displaying a pointer invocable navigational user interface, the method comprising, at a navigational module:
providing a navigational user interface having a hidden invocation region positioned along an edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detecting an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, displaying a visible GUI selector element of the navigational user interface including a focus switch selector, configured to, upon selection, switch focus according to the application order to a next application program graphical user interface not currently displayed, the focus switch selector including a graphical indication of the next application program graphical user interface in the application order; receiving a scroll input to scroll through the application order and, in response, updating the visible GUI selector element to include a graphical indication of the next application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order; receiving, while the visible GUI selector element is displayed, a focus switching input via the focus switch selector from the pointer device; in response to the focus switching input, switching focus of the multi-window desktop environment to the next application program graphical user interface and displaying the next application program graphical user interface. 12. The method of claim 11, where the navigational user interface has no visible graphical user interface element displayed in the hidden invocation region when the navigational user interface is in a hidden state. 13. The method of claim 12, where the navigational user interface includes a dismissal region, and further comprising, upon detection of a dismissal pointer input received from the pointer device in the dismissal region, placing the navigational user interface in the hidden state. 14. The method of claim 13, where the dismissal region includes space on the display outside of the invocation region prior to receiving the focus switching input, and includes space on the display outside of the visible GUI selector element after receiving the focus switching input, and where the invocation region is a column of single pixels, not including pixels proximate corner regions of the display. 15. The method of claim 11, where the visible GUI selector element is displayed upon passage of a threshold period of time after detecting the invocation pointer input in the invocation region. 16. The method of claim 11, where the graphical indication includes one of an icon, a preview of the next application program graphical user interface, or a text label, and the focus switch selector includes one of a button, a selectable preview, or a selectable icon. 17. The method of claim 11, further comprising, in response to receiving a drag and drop input of the visible GUI selector element, switching focus of the multi-window desktop environment to the next application program graphical user interface at a position indicated by the drag and drop input. 18. The method of claim 11, further comprising, in response to receiving an context menu pointer input in the invocation region, providing a context menu including options, the options including an option to display the next application program graphical user interface in an alternate option-specific position, and switch focus to the next application program graphical user interface. 19. The method of claim 11, where the navigational module is further configured to, upon detection of the invocation pointer input in a system portion of the hidden invocation region, display a system menu providing system command options, the system menu being separate from the visible GUI selector element. 20. A method executable by a computing device for displaying a pointer invocable navigational user interface, the method comprising, at a navigational module:
providing a navigational user interface having a hidden invocation region positioned along a logical left edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detecting an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, displaying a visible GUI selector element of the navigational user interface including a preview of a most recently used application program graphical user interface not currently in focus or displayed; receiving a scroll input to scroll through the application order and in response, updating the visible GUI selector element to include a preview of an application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order, until a preview of a selected one of the application program graphical user interfaces is displayed; while the preview is displayed, receiving a focus switching input from the pointer device; and in response to the focus switching input, switching focus of the multi-window desktop environment to the application program graphical user interface for which the preview is displayed. | Systems and methods for use with a pointer invocable navigational user interface are provided. The system may include a navigational module configured to provide a navigational user interface having a hidden invocation region positioned along a logical left edge of a display. Application program graphical user interfaces (GUIs) may be ordered in an application order. The navigational module may be configured to detect an invocation pointer input in the hidden invocation region. Upon detecting the invocation pointer input, the navigational module may be to configured display a visible GUI selector element of the navigational user interface including a preview of a most recently used application program GUI not currently in focus. While the preview is displayed, a focus switching input from the pointer device may be received. In response to the focus switching input, focus may be switched to the application program GUI for which the preview is displayed.1. A computerized system for displaying a pointer invocable navigational user interface, the system comprising a computing device including a processor, memory, and a display, the processor being configured to execute a navigational module, the navigational module being configured to:
provide a navigational user interface having a hidden invocation region positioned along an edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detect an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, display a visible GUI selector element of the navigational user interface including a focus switch selector, configured to, upon selection, switch focus according to the application order to a next application program graphical user interface not currently displayed, the focus switch selector including a graphical indication of the next application program graphical user interface in the application order; receive a scroll input to scroll through the application order and, in response, update the visible GUI selector element to include a graphical indication of the next application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order; while the visible GUI selector element is displayed, receive a focus switching input via the focus switch selector from the pointer device; in response to the focus switching input, switch focus of the multi-window desktop environment to the next application program graphical user interface and display the next application program graphical user interface. 2. The computerized system of claim 1, where the navigational user interface has no visible graphical user interface element displayed in the hidden invocation region when the navigational user interface is in a hidden state. 3. The computerized system of claim 2, where the navigational user interface includes a dismissal region, and the navigational module is further configured to, upon detection of a dismissal pointer input received from the pointer device in the dismissal region, place the navigational user interface in the hidden state. 4. The computerized system of claim 3, where the dismissal region includes space on the display outside of the invocation region prior to receiving the focus switching input, and includes all space on the display outside of the visible GUI selector element after receiving the focus switching input, and where the invocation region is a column of single pixels, not including pixels proximate corner regions of the display. 5. The computerized system of claim 1, where the visible GUI selector element is displayed upon passage of a threshold period of time after detecting the invocation pointer input in the invocation region. 6. The computerized system of claim 1, where the graphical indication includes one of an icon, a preview of the next application program graphical user interface, or a text label, and the focus switch selector includes one of a button, a selectable preview, or a selectable icon. 7. The computerized system of claim 1, where, upon detection of a change in the vertical position of the invocation pointer input, the navigational module is further configured to reposition the visible GUI selector element to be aligned with a new position of the invocation pointer input. 8. The computerized system of claim 1, where the navigational module is further configured to, in response to receiving a drag and drop input of the visible GUI selector element, switch focus of the multi-window desktop environment to the next application program graphical user interface at a position indicated by the drag and drop input. 9. The computerized system of claim 1, where the navigational module is further configured to, in response to receiving a context menu pointer input in the invocation region, provide a context menu including options, the options including an option to display the next application program graphical user interface in a an alternate option-specific position, and switch focus to the next application program graphical user interface. 10. The computerized system of claim 1, where the navigational module is further configured to, upon detection of the invocation pointer input in a system portion of the hidden invocation region, display a system menu providing system command options, the system menu being separate from the visible GUI selector element. 11. A method executable by a computing device for displaying a pointer invocable navigational user interface, the method comprising, at a navigational module:
providing a navigational user interface having a hidden invocation region positioned along an edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detecting an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, displaying a visible GUI selector element of the navigational user interface including a focus switch selector, configured to, upon selection, switch focus according to the application order to a next application program graphical user interface not currently displayed, the focus switch selector including a graphical indication of the next application program graphical user interface in the application order; receiving a scroll input to scroll through the application order and, in response, updating the visible GUI selector element to include a graphical indication of the next application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order; receiving, while the visible GUI selector element is displayed, a focus switching input via the focus switch selector from the pointer device; in response to the focus switching input, switching focus of the multi-window desktop environment to the next application program graphical user interface and displaying the next application program graphical user interface. 12. The method of claim 11, where the navigational user interface has no visible graphical user interface element displayed in the hidden invocation region when the navigational user interface is in a hidden state. 13. The method of claim 12, where the navigational user interface includes a dismissal region, and further comprising, upon detection of a dismissal pointer input received from the pointer device in the dismissal region, placing the navigational user interface in the hidden state. 14. The method of claim 13, where the dismissal region includes space on the display outside of the invocation region prior to receiving the focus switching input, and includes space on the display outside of the visible GUI selector element after receiving the focus switching input, and where the invocation region is a column of single pixels, not including pixels proximate corner regions of the display. 15. The method of claim 11, where the visible GUI selector element is displayed upon passage of a threshold period of time after detecting the invocation pointer input in the invocation region. 16. The method of claim 11, where the graphical indication includes one of an icon, a preview of the next application program graphical user interface, or a text label, and the focus switch selector includes one of a button, a selectable preview, or a selectable icon. 17. The method of claim 11, further comprising, in response to receiving a drag and drop input of the visible GUI selector element, switching focus of the multi-window desktop environment to the next application program graphical user interface at a position indicated by the drag and drop input. 18. The method of claim 11, further comprising, in response to receiving an context menu pointer input in the invocation region, providing a context menu including options, the options including an option to display the next application program graphical user interface in an alternate option-specific position, and switch focus to the next application program graphical user interface. 19. The method of claim 11, where the navigational module is further configured to, upon detection of the invocation pointer input in a system portion of the hidden invocation region, display a system menu providing system command options, the system menu being separate from the visible GUI selector element. 20. A method executable by a computing device for displaying a pointer invocable navigational user interface, the method comprising, at a navigational module:
providing a navigational user interface having a hidden invocation region positioned along a logical left edge of the display in a multi-window desktop environment having a desktop and a plurality of application program graphical user interfaces, the application program graphical user interfaces having an application order; detecting an invocation pointer input in the hidden invocation region, the invocation pointer input being received from a pointer device; upon detecting the invocation pointer input in the hidden invocation region, displaying a visible GUI selector element of the navigational user interface including a preview of a most recently used application program graphical user interface not currently in focus or displayed; receiving a scroll input to scroll through the application order and in response, updating the visible GUI selector element to include a preview of an application program graphical user interface for each of a plurality of successive application program graphical user interfaces in the application order, until a preview of a selected one of the application program graphical user interfaces is displayed; while the preview is displayed, receiving a focus switching input from the pointer device; and in response to the focus switching input, switching focus of the multi-window desktop environment to the application program graphical user interface for which the preview is displayed. | 2,100 |
4,861 | 15,282,375 | 2,159 | A server receives a request to play a selected playlist from a first electronic device associated with a host listener. The playlist includes audio items having a common attribute. The server also receives an identity of a guest listener having a second electronic device and retrieves an indication of taste of the guest listener based on the received identity. The server selects an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist, and incorporates the additional audio item into the selected playlist. | 1. A method for playlist adaption, the method being performed by a server having one or more processors and memory storing instructions for execution by the one or more processors, the method comprising:
receiving a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute; automatically receiving an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device; retrieving an indication of taste of the guest listener based on the received identity; selecting an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and while streaming a first media item of the selected playlist in response to the request, incorporating the additional audio item into the selected playlist. 2. The method according to claim 1, wherein the server receives the identity of the guest listener from the first electronic device. 3. The method according to claim 1, wherein the server receives the identity of the guest listener from the second electronic device. 4. The method according to claim 1, wherein the additional audio item is selected from audio items of a gross playlist associated with the selected playlist, wherein the gross playlist includes more audio items than the selected playlist and the audio items of the gross playlist have the common attribute. 5. The method according to claim 1, wherein the indication of taste of the guest listener includes a taste profile parameter of the guest listener. 6. The method according to claim 5, wherein the additional audio item is selected from audio items that match the taste profile parameter of the guest listener and have the common attribute. 7. The method according to claim 1, wherein the indication of taste of the guest listener includes listening counts for respective audio items. 8. The method according to claim 1, wherein the common attribute of the selected playlist is related to the genre of the audio items. 9. The method according to claim 1, further comprising:
receiving geographic information about the first electronic device; receiving geographic information about the second electronic device; and determining that the first and second electronic devices are within a same geographic area; wherein the additional audio item is selected in response to determining that the first and second electronic devices are within the same geographic area. 10. A server comprising:
one or more processors; and memory storing instructions executable by the one or more processors to cause the server to:
receive a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute;
automatically receive an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device;
retrieve an indication of taste of the guest listener based on the received identity;
select an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and
while streaming a first media item of the selected playlist in response to the request, incorporate the additional audio item into the selected playlist. 11. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
receive the identity of the guest listener from the first electronic device. 12. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to receive the identity of the guest listener from the second electronic device. 13. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
select the additional audio item from audio items of a gross playlist associated with the selected playlist, wherein the gross playlist includes more audio items than the selected playlist and the audio items of the gross playlist have the common attribute. 14. (canceled) 15. The server according to claim 10, wherein the common attribute is related to the genre of the audio items. 16. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
receive geographic information about the first electronic device; receive geographic information about the second electronic device; and determine that the first and second electronic devices are within a same geographic area; wherein the additional audio item is selected in response to determining that the first and second electronic devices are within the same geographic area. 17. The server according to claim 10, wherein the indication of taste of the guest listener includes a taste profile parameter of the guest listener. 18. The server according to claim 17, wherein the instructions are further executable by the one or more processors to cause the server to select the additional audio item from audio items that match the taste profile parameter of the guest listener and also have the common attribute. 19. A non-transitory computer-readable storage medium storing one or more programs for execution by a server having one or more processors and memory, the one or more programs comprising instructions for:
receiving a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute; automatically receiving an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device; retrieving an indication of taste of the guest listener based on the received identity; selecting an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and while streaming a first media item of the selected playlist in response to the request, incorporating the additional audio item into the selected playlist. 20. The method according to claim 1, wherein receiving the identity of the guest listener is performed after a function is enabled that makes the second electronic device discoverable by the first electronic device. | A server receives a request to play a selected playlist from a first electronic device associated with a host listener. The playlist includes audio items having a common attribute. The server also receives an identity of a guest listener having a second electronic device and retrieves an indication of taste of the guest listener based on the received identity. The server selects an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist, and incorporates the additional audio item into the selected playlist.1. A method for playlist adaption, the method being performed by a server having one or more processors and memory storing instructions for execution by the one or more processors, the method comprising:
receiving a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute; automatically receiving an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device; retrieving an indication of taste of the guest listener based on the received identity; selecting an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and while streaming a first media item of the selected playlist in response to the request, incorporating the additional audio item into the selected playlist. 2. The method according to claim 1, wherein the server receives the identity of the guest listener from the first electronic device. 3. The method according to claim 1, wherein the server receives the identity of the guest listener from the second electronic device. 4. The method according to claim 1, wherein the additional audio item is selected from audio items of a gross playlist associated with the selected playlist, wherein the gross playlist includes more audio items than the selected playlist and the audio items of the gross playlist have the common attribute. 5. The method according to claim 1, wherein the indication of taste of the guest listener includes a taste profile parameter of the guest listener. 6. The method according to claim 5, wherein the additional audio item is selected from audio items that match the taste profile parameter of the guest listener and have the common attribute. 7. The method according to claim 1, wherein the indication of taste of the guest listener includes listening counts for respective audio items. 8. The method according to claim 1, wherein the common attribute of the selected playlist is related to the genre of the audio items. 9. The method according to claim 1, further comprising:
receiving geographic information about the first electronic device; receiving geographic information about the second electronic device; and determining that the first and second electronic devices are within a same geographic area; wherein the additional audio item is selected in response to determining that the first and second electronic devices are within the same geographic area. 10. A server comprising:
one or more processors; and memory storing instructions executable by the one or more processors to cause the server to:
receive a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute;
automatically receive an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device;
retrieve an indication of taste of the guest listener based on the received identity;
select an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and
while streaming a first media item of the selected playlist in response to the request, incorporate the additional audio item into the selected playlist. 11. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
receive the identity of the guest listener from the first electronic device. 12. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to receive the identity of the guest listener from the second electronic device. 13. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
select the additional audio item from audio items of a gross playlist associated with the selected playlist, wherein the gross playlist includes more audio items than the selected playlist and the audio items of the gross playlist have the common attribute. 14. (canceled) 15. The server according to claim 10, wherein the common attribute is related to the genre of the audio items. 16. The server according to claim 10, wherein the instructions are further executable by the one or more processors to cause the server to:
receive geographic information about the first electronic device; receive geographic information about the second electronic device; and determine that the first and second electronic devices are within a same geographic area; wherein the additional audio item is selected in response to determining that the first and second electronic devices are within the same geographic area. 17. The server according to claim 10, wherein the indication of taste of the guest listener includes a taste profile parameter of the guest listener. 18. The server according to claim 17, wherein the instructions are further executable by the one or more processors to cause the server to select the additional audio item from audio items that match the taste profile parameter of the guest listener and also have the common attribute. 19. A non-transitory computer-readable storage medium storing one or more programs for execution by a server having one or more processors and memory, the one or more programs comprising instructions for:
receiving a request, from a host listener associated with a selected playlist, to play the selected playlist from a first electronic device associated with the host listener, the playlist including audio items having a common attribute; automatically receiving an identity of a guest listener having a second electronic device, without explicit input from the guest listener after the second electronic device comes within range of the first electronic device; retrieving an indication of taste of the guest listener based on the received identity; selecting an additional audio item based at least in part on the indication of taste of the guest listener and the common attribute of the audio items of the selected playlist; and while streaming a first media item of the selected playlist in response to the request, incorporating the additional audio item into the selected playlist. 20. The method according to claim 1, wherein receiving the identity of the guest listener is performed after a function is enabled that makes the second electronic device discoverable by the first electronic device. | 2,100 |
4,862 | 13,834,768 | 2,128 | This invention relates to a new methodology to analyze the effects of the acoustic waves generated during accident or operational transients occurring in boiling water reactors (BWRs). These transients include the main steam line break (MSLB) event and the turbine stop valve (TSV) operational transient. Accordingly, the invention is utilized for calculating the dynamic loads on steam dryers of a boiling water reactor resulting from the main steam line break event or the turbine stop valve event. | 1. A computational method containing a mathematical model for determining a dynamic load, acoustic in nature, on the steam dryer of a boiling water reactor resulting from a fluid transient selected from a main steam line break event or a turbine stop valve event in a main steam line, wherein the boiling water reactor has four main steam lines, a pressure equalizer, a reactor pressure vessel and a steam dome; the method comprising
developing a network model of the main steam lines including the pressure equalizer, reactor pressure vessel and pipe segments for the main steam lines between junction points, calculating an acoustic load generated by the fluid transient propagating in the main steam lines, comprising:
utilizing a frequency-based acoustic circuit model to determine pressure and velocity of the acoustic waves;
solving a mass conservation equation for steam volume in the pressure equalizer and the reactor pressure vessel;
introducing time-dependent behavior in the velocity and pressure of the acoustic waves;
determining acoustic velocity for the main steam lines; and
utilizing the acoustic velocity as a boundary condition on a Helmholz solution of the steam dryer and surrounding fluid inside the steam dome. 2. The method of claim 1, wherein the pressure of the acoustic wave is determined by Equation 1 as follows:
{circumflex over (p)}(x,ω)=ρa 2 [A n(ω)e ik 1n x +B n(ω)e ik 2n x ]e iωt (1)
wherein, {circumflex over (p)} represents spatially and frequency-dependent acoustic pressure, An(ω) and Bn(ω) are integration, ρ represents density, a represents speed of sound in steam, x is a position along the main steam lines, ω is angular frequency, index n distinguishes integration constants on each pipe segment for each main steam line and, k1n and k2n are roots of a dispersion Equation (3) as follows:
k
2
+
i
fU
D
ω
+
Uk
a
2
-
(
ω
+
Uk
?
)
2
=
0
?
indicates text missing or illegible when filed
(
3
)
wherein, f is friction factor, D is inner diameter of the steam line, U is mean steam flow velocity, and
wherein the roots of the dispersion equation are calculated for each main steam line. 3. The method of claim 1, wherein the velocity of the acoustic wave is determined by Equation 2 as follows:
u
^
(
x
,
ω
)
=
[
-
(
ω
+
Uk
1
n
k
1
n
)
A
n
k
1
n
x
-
(
ω
+
Uk
2
n
k
2
n
)
B
n
k
2
n
x
]
ω
t
(
2
)
wherein, û represents spatially and frequency-dependent acoustic pressure, An(ω) and Rn(ω) are integration, ρ represents density, a represents speed of sound in steam, x is a position along the main steam lines, ω is angular frequency, index n distinguishes integration constants on each pipe segment for each main steam line and, k1n and k2n are roots of a dispersion Equation (3) as follows:
k
2
i
fU
ω
+
Uk
D
a
2
(
ω
+
Uk
a
)
2
=
0
(
3
)
wherein, f is friction factor, D is inner diameter of the steam line, U is mean steam flow velocity, and
wherein the roots of the dispersion equation are calculated for each main steam line. 4. The method of claim 1, wherein steam volume in the pressure equalizer is calculated in accordance with a mass conservation equation as follows:
V
P
t
=
∑
ρ
a
2
Au
in
-
∑
ρ
a
2
All
out
(
4
)
wherein, ρ represents density, a represents speed of sound in steam, ω is angular frequency, and A is an identifier for the main steam line wherein the fluid transient event occurs. | This invention relates to a new methodology to analyze the effects of the acoustic waves generated during accident or operational transients occurring in boiling water reactors (BWRs). These transients include the main steam line break (MSLB) event and the turbine stop valve (TSV) operational transient. Accordingly, the invention is utilized for calculating the dynamic loads on steam dryers of a boiling water reactor resulting from the main steam line break event or the turbine stop valve event.1. A computational method containing a mathematical model for determining a dynamic load, acoustic in nature, on the steam dryer of a boiling water reactor resulting from a fluid transient selected from a main steam line break event or a turbine stop valve event in a main steam line, wherein the boiling water reactor has four main steam lines, a pressure equalizer, a reactor pressure vessel and a steam dome; the method comprising
developing a network model of the main steam lines including the pressure equalizer, reactor pressure vessel and pipe segments for the main steam lines between junction points, calculating an acoustic load generated by the fluid transient propagating in the main steam lines, comprising:
utilizing a frequency-based acoustic circuit model to determine pressure and velocity of the acoustic waves;
solving a mass conservation equation for steam volume in the pressure equalizer and the reactor pressure vessel;
introducing time-dependent behavior in the velocity and pressure of the acoustic waves;
determining acoustic velocity for the main steam lines; and
utilizing the acoustic velocity as a boundary condition on a Helmholz solution of the steam dryer and surrounding fluid inside the steam dome. 2. The method of claim 1, wherein the pressure of the acoustic wave is determined by Equation 1 as follows:
{circumflex over (p)}(x,ω)=ρa 2 [A n(ω)e ik 1n x +B n(ω)e ik 2n x ]e iωt (1)
wherein, {circumflex over (p)} represents spatially and frequency-dependent acoustic pressure, An(ω) and Bn(ω) are integration, ρ represents density, a represents speed of sound in steam, x is a position along the main steam lines, ω is angular frequency, index n distinguishes integration constants on each pipe segment for each main steam line and, k1n and k2n are roots of a dispersion Equation (3) as follows:
k
2
+
i
fU
D
ω
+
Uk
a
2
-
(
ω
+
Uk
?
)
2
=
0
?
indicates text missing or illegible when filed
(
3
)
wherein, f is friction factor, D is inner diameter of the steam line, U is mean steam flow velocity, and
wherein the roots of the dispersion equation are calculated for each main steam line. 3. The method of claim 1, wherein the velocity of the acoustic wave is determined by Equation 2 as follows:
u
^
(
x
,
ω
)
=
[
-
(
ω
+
Uk
1
n
k
1
n
)
A
n
k
1
n
x
-
(
ω
+
Uk
2
n
k
2
n
)
B
n
k
2
n
x
]
ω
t
(
2
)
wherein, û represents spatially and frequency-dependent acoustic pressure, An(ω) and Rn(ω) are integration, ρ represents density, a represents speed of sound in steam, x is a position along the main steam lines, ω is angular frequency, index n distinguishes integration constants on each pipe segment for each main steam line and, k1n and k2n are roots of a dispersion Equation (3) as follows:
k
2
i
fU
ω
+
Uk
D
a
2
(
ω
+
Uk
a
)
2
=
0
(
3
)
wherein, f is friction factor, D is inner diameter of the steam line, U is mean steam flow velocity, and
wherein the roots of the dispersion equation are calculated for each main steam line. 4. The method of claim 1, wherein steam volume in the pressure equalizer is calculated in accordance with a mass conservation equation as follows:
V
P
t
=
∑
ρ
a
2
Au
in
-
∑
ρ
a
2
All
out
(
4
)
wherein, ρ represents density, a represents speed of sound in steam, ω is angular frequency, and A is an identifier for the main steam line wherein the fluid transient event occurs. | 2,100 |
4,863 | 13,332,763 | 2,167 | An approach is provided for providing input suggestions. An input generating platform causes, at least in part, presentation of a user interface element including at least one input field. The input generating platform also determines at least one field type associated with the at least one input field. The input generating platform further identifies at least one information store, context store, or a combination thereof based, at least in part, on the at least one field type. The input generating platform also determines to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof. | 1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:
a presentation of a user interface element including at least one input field; at least one field type associated with the at least one input field; at least one information store, context store, or a combination thereof based, at least in part, on the at least one field type; and a local and/or remote determination to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof. 2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
the one or more computations from the at least one information store, context store, or a combination thereof; and a rendering of the user interface element based, at least in part, on the one or more computations. 3. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
one or more local computations for generating the one or more suggestions; and a rendering of the user interface element based, at least in part, on the one or more local computations, the one or more computations, or a combination thereof. 4. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
a local and/or remote determination of the at least one field type based, at least in part, on metadata, semantic information, crowd-sourced data, web-sourced data, or a combination thereof associated with the user interface element, the at least one input field, or a combination thereof. 5. A method of claim 1, wherein the crowd-sourced data is based, at least in part, on one or more inputs specified for the at least one input field by one or more users. 6. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
an input for specifying the at least one field type. 7. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
context information, semantic information, or a combination thereof associated with the user interface element, a device at which the user interface element is presented, a user of the device, the at least one input field, or a combination thereof, wherein the identification of the at least one information store, context store, or a combination thereof, is based, at least in part, on the context information, the semantic information, or a combination thereof. 8. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
a local and/or remote determination to store the at least one field type, the one or more computations, the one or more suggestions, or a combination thereof, wherein the stored at least one field type, the stored one or more computations, the stored one or more suggestions, or a combination thereof are used to generate at least one subsequent presentation of the user interface element, the at least one input field, or a combination thereof. 9. A method of claim 1, wherein the at least one input field includes a text field, a multimedia field, or a combination thereof, and wherein the one or more suggestions are provided as text, multimedia objects, or a combination thereof. 10. A method of claim 1, wherein the information store, context store, or a combination thereof, is a local store, a remote store, or a combination thereof. 11. An apparatus comprising:
at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
cause, at least in part, presentation of a user interface element including at least one input field;
determine at least one field type associated with the at least one input field;
determine at least one information store, context store, or a combination thereof, based, at least in part, on the at least one field type; and
determine to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof. 12. An apparatus of claim 11, wherein the apparatus is further caused to:
receive the one or more computations from the at least one information store, context store, or a combination thereof; and cause, at least in part, rendering of the user interface element based, at least in part, on the one or more computations. 13. An apparatus of claim 11, wherein the apparatus is further caused to:
determine one or more local computations for generating the one or more suggestions; and cause, at least in part, rendering of the user interface element based, at least in part, on the one or more local computations, the one or more computations, or a combination thereof. 14. An apparatus of claim 11, wherein the apparatus is further caused to:
determine the at least one field type based, at least in part, on metadata, semantic information, crowd-sourced data, web-sourced data, or a combination thereof associated with the user interface element, the at least one input field, or a combination thereof. 15. An apparatus of claim 11, wherein the crowd-sourced data is based, at least in part, on one or more inputs specified for the at least one input field by one or more users. 16. An apparatus of claim 11, wherein the apparatus is further caused to:
receive an input for specifying the at least one field type. 17. An apparatus of claim 11, wherein the apparatus is further caused to:
determine context information, semantic information, or a combination thereof associated with the user interface element, a device at which the user interface element is presented, a user of the device, the at least one input field, or a combination thereof, wherein the determination of the at least one information store, context store, or a combination thereof, is based, at least in part, on the context information, the semantic information, or a combination thereof. 18. An apparatus of claim 11, wherein the apparatus is further caused to:
determine to store the at least one field type, the one or more computations, the one or more suggestions, or a combination thereof, wherein the stored at least one field type, the stored one or more computations, the stored one or more suggestions, or a combination thereof are used to generate at least one subsequent presentation of the user interface element, the at least one input field, or a combination thereof. 19. An apparatus of claim 11, wherein the at least one input field includes a text field, a multimedia field, or a combination thereof, and wherein the one or more suggestions are provided as text, multimedia objects, or a combination thereof. 20. An apparatus of claim 11, wherein the information store, context store, or a combination thereof, is a local store, a remote store, or a combination thereof. | An approach is provided for providing input suggestions. An input generating platform causes, at least in part, presentation of a user interface element including at least one input field. The input generating platform also determines at least one field type associated with the at least one input field. The input generating platform further identifies at least one information store, context store, or a combination thereof based, at least in part, on the at least one field type. The input generating platform also determines to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof.1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:
a presentation of a user interface element including at least one input field; at least one field type associated with the at least one input field; at least one information store, context store, or a combination thereof based, at least in part, on the at least one field type; and a local and/or remote determination to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof. 2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
the one or more computations from the at least one information store, context store, or a combination thereof; and a rendering of the user interface element based, at least in part, on the one or more computations. 3. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
one or more local computations for generating the one or more suggestions; and a rendering of the user interface element based, at least in part, on the one or more local computations, the one or more computations, or a combination thereof. 4. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
a local and/or remote determination of the at least one field type based, at least in part, on metadata, semantic information, crowd-sourced data, web-sourced data, or a combination thereof associated with the user interface element, the at least one input field, or a combination thereof. 5. A method of claim 1, wherein the crowd-sourced data is based, at least in part, on one or more inputs specified for the at least one input field by one or more users. 6. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
an input for specifying the at least one field type. 7. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
context information, semantic information, or a combination thereof associated with the user interface element, a device at which the user interface element is presented, a user of the device, the at least one input field, or a combination thereof, wherein the identification of the at least one information store, context store, or a combination thereof, is based, at least in part, on the context information, the semantic information, or a combination thereof. 8. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:
a local and/or remote determination to store the at least one field type, the one or more computations, the one or more suggestions, or a combination thereof, wherein the stored at least one field type, the stored one or more computations, the stored one or more suggestions, or a combination thereof are used to generate at least one subsequent presentation of the user interface element, the at least one input field, or a combination thereof. 9. A method of claim 1, wherein the at least one input field includes a text field, a multimedia field, or a combination thereof, and wherein the one or more suggestions are provided as text, multimedia objects, or a combination thereof. 10. A method of claim 1, wherein the information store, context store, or a combination thereof, is a local store, a remote store, or a combination thereof. 11. An apparatus comprising:
at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
cause, at least in part, presentation of a user interface element including at least one input field;
determine at least one field type associated with the at least one input field;
determine at least one information store, context store, or a combination thereof, based, at least in part, on the at least one field type; and
determine to migrate one or more computations for generating one or more suggestions, one or more default values, or a combination thereof for populating the at least one input field, generating the user interface element, or a combination thereof to the at least one information store, context store, or a combination thereof. 12. An apparatus of claim 11, wherein the apparatus is further caused to:
receive the one or more computations from the at least one information store, context store, or a combination thereof; and cause, at least in part, rendering of the user interface element based, at least in part, on the one or more computations. 13. An apparatus of claim 11, wherein the apparatus is further caused to:
determine one or more local computations for generating the one or more suggestions; and cause, at least in part, rendering of the user interface element based, at least in part, on the one or more local computations, the one or more computations, or a combination thereof. 14. An apparatus of claim 11, wherein the apparatus is further caused to:
determine the at least one field type based, at least in part, on metadata, semantic information, crowd-sourced data, web-sourced data, or a combination thereof associated with the user interface element, the at least one input field, or a combination thereof. 15. An apparatus of claim 11, wherein the crowd-sourced data is based, at least in part, on one or more inputs specified for the at least one input field by one or more users. 16. An apparatus of claim 11, wherein the apparatus is further caused to:
receive an input for specifying the at least one field type. 17. An apparatus of claim 11, wherein the apparatus is further caused to:
determine context information, semantic information, or a combination thereof associated with the user interface element, a device at which the user interface element is presented, a user of the device, the at least one input field, or a combination thereof, wherein the determination of the at least one information store, context store, or a combination thereof, is based, at least in part, on the context information, the semantic information, or a combination thereof. 18. An apparatus of claim 11, wherein the apparatus is further caused to:
determine to store the at least one field type, the one or more computations, the one or more suggestions, or a combination thereof, wherein the stored at least one field type, the stored one or more computations, the stored one or more suggestions, or a combination thereof are used to generate at least one subsequent presentation of the user interface element, the at least one input field, or a combination thereof. 19. An apparatus of claim 11, wherein the at least one input field includes a text field, a multimedia field, or a combination thereof, and wherein the one or more suggestions are provided as text, multimedia objects, or a combination thereof. 20. An apparatus of claim 11, wherein the information store, context store, or a combination thereof, is a local store, a remote store, or a combination thereof. | 2,100 |
4,864 | 14,171,674 | 2,167 | Apparatuses, methods and storage medium associated with summarization and recommendation of content are disclosed herewith. In embodiments, an apparatus may include a content processing engine to process content. The content processing engine may include a summarization engine to score constituent parts of the content, and to generate a plurality of summaries from a plurality of points of view for the content, based at least in part on the scores of constituent parts. The summaries may be formed with constituent parts extracted from the contents. In embodiments, the apparatus may further include a recommendation engine and/or a user preference learning module. Other embodiments may be described and/or claimed. | 1. An apparatus comprising:
a content processing engine to process content, including a summarization engine to score constituent parts of the content, and to generate a plurality of summaries from a plurality of points of view for the content, based at least in part on the scores of constituent parts, wherein at least one of the summaries is formed with constituent parts extracted from the contents. 2. The apparatus of claim 1, wherein the content comprises online or offline webpages, textual articles, audio or video; wherein at least one of the summaries of a textual article comprises extracted sentences of the textual articles; and wherein at least one of the summaries of an audio/video content comprises extracted segments of the audio/video content. 3. The apparatus of claim 1, wherein the summarization engine to provide a rank to each sentence of a content having constituent parts that are sentences, based on coherence of roots of words between sentences of the content, and determine a relation how each sentence of the content is connected with another sentence of the content. 4. The apparatus of claim 1, wherein the summarization engine to determine title words and key phrases using term frequency-inverse domain frequency for each word of a sentence of a content having constituent parts that are sentences. 5. The apparatus of claim 1, wherein the summarization engine to tag all nouns of the content, link all tagged nouns with verbs, adjectives and adverbs of the content, and index relationships between the nouns based at least in part on the links. 6. The apparatus of claim 1, wherein the summarization engine to score sentences of a content heuristically, for contents with constituent parts that are sentences, including scoring sentences based at least in part on location, cardinal and indicational heuristics. 7. The apparatus of claim 1, wherein the summarization engine is to further selectively output the summaries for a user, based at least in part on a point of view of interest to the user. 8. The apparatus of claim 1, further comprising a recommendation engine coupled with the summarization engine to rank summaries output by the summarization engine, based at least in part on information in a user profile of a user to receive recommendation from the recommendation engine, and recommend content to the user based at least in part on the ranked summaries. 9. The apparatus of claim 8, wherein the recommendation engine to associate sex, location, age group, content or current keyword based weights to summaries, based at least in part on respective sex, location, age group, content or current keyword information in the user profile of the user to receive recommendation from the recommendation engine, wherein the content information includes content reading behavior information of the user. 10. The apparatus of claim 8 further comprising a user preference learning module to input information used by the recommendation engine into the user profile. 11. The apparatus of claim 10, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 12. The apparatus of claim 10, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 13. The apparatus of claim 1, wherein the content processing engine to further selective output the plurality of summaries of the plurality of points of view to a user, including highlighting constituent parts of an output, based at least in part on a point of view of the output. 14. The apparatus of claim 1, wherein the content processing engine to further store the plurality of summaries of the plurality of points of view in servers of a content processing cloud environment. 15. The apparatus of claim 14, wherein the content processing cloud environment to suggest a first user to a second user of a social network based at least in part on common interest inferred from user profiles of the first and second users, wherein the user profiles include content reading behavior information of the first and second users. 16. The apparatus of claim 14, the content processing cloud environment to suggest social media information to a first user of a social network, engaged in a search for information about an interest, based at least in part on information of a plurality of user profiles, wherein the user profiles include content reading behavior information of users. 17. The apparatus of claim 1, wherein the apparatus is selected one of a smartphone, a phablet, a computing tablet, a laptop computer, a desktop computer or a game console. 18. An apparatus comprising:
a recommendation engine to rank summaries output by a summarization engine, based at least in part on information in a user profile of a user to receive recommendation from the recommendation engine, and recommend content to the user based at least in part on the ranked summaries; wherein the recommendation engine to associate sex, location, age group, content or current keyword based weights to summaries, based at least in part on respective sex, location, age group, content or current keyword information in the user profile of the user to receive recommendation from the recommendation engine, and wherein the content information includes content reading behavior information of the user. 19. The apparatus of claim 18 further comprising a user preference learning module to input information used by the recommendation engine into the user profile. 20. The apparatus of claim 19, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 21. The apparatus of claim 20, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 22. An apparatus, comprising:
a user preference learning module to input information into a user profile of a user to receive recommendations from a recommendation engine, wherein the recommendation engine provides recommendation based at least in part on keyword information in the user profile, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 23. The apparatus of claim 22, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 24. An apparatus, comprising:
one or more servers to form a content processing cloud environment to receive a plurality of summaries of the plurality of points of view, from a plurality of content processing engines, and store the plurality of summaries of the plurality of points of view for use by recommendation engines to make content recommendations to users based at least in part on information in user profiles of users to receive recommendation; wherein the content processing cloud environment to further suggest a first user to a second user of a social network based at least in part on common interest inferred from user profiles of the first and second users, wherein the user profiles include content reading behavior information of the first and second users. 25. The apparatus of claim 24, the content processing cloud environment to suggest social media information to a first user of a social network, engaged in a search for information about an interest, based at least in part on information of a plurality of user profiles, wherein the user profiles include content reading behavior information of users. | Apparatuses, methods and storage medium associated with summarization and recommendation of content are disclosed herewith. In embodiments, an apparatus may include a content processing engine to process content. The content processing engine may include a summarization engine to score constituent parts of the content, and to generate a plurality of summaries from a plurality of points of view for the content, based at least in part on the scores of constituent parts. The summaries may be formed with constituent parts extracted from the contents. In embodiments, the apparatus may further include a recommendation engine and/or a user preference learning module. Other embodiments may be described and/or claimed.1. An apparatus comprising:
a content processing engine to process content, including a summarization engine to score constituent parts of the content, and to generate a plurality of summaries from a plurality of points of view for the content, based at least in part on the scores of constituent parts, wherein at least one of the summaries is formed with constituent parts extracted from the contents. 2. The apparatus of claim 1, wherein the content comprises online or offline webpages, textual articles, audio or video; wherein at least one of the summaries of a textual article comprises extracted sentences of the textual articles; and wherein at least one of the summaries of an audio/video content comprises extracted segments of the audio/video content. 3. The apparatus of claim 1, wherein the summarization engine to provide a rank to each sentence of a content having constituent parts that are sentences, based on coherence of roots of words between sentences of the content, and determine a relation how each sentence of the content is connected with another sentence of the content. 4. The apparatus of claim 1, wherein the summarization engine to determine title words and key phrases using term frequency-inverse domain frequency for each word of a sentence of a content having constituent parts that are sentences. 5. The apparatus of claim 1, wherein the summarization engine to tag all nouns of the content, link all tagged nouns with verbs, adjectives and adverbs of the content, and index relationships between the nouns based at least in part on the links. 6. The apparatus of claim 1, wherein the summarization engine to score sentences of a content heuristically, for contents with constituent parts that are sentences, including scoring sentences based at least in part on location, cardinal and indicational heuristics. 7. The apparatus of claim 1, wherein the summarization engine is to further selectively output the summaries for a user, based at least in part on a point of view of interest to the user. 8. The apparatus of claim 1, further comprising a recommendation engine coupled with the summarization engine to rank summaries output by the summarization engine, based at least in part on information in a user profile of a user to receive recommendation from the recommendation engine, and recommend content to the user based at least in part on the ranked summaries. 9. The apparatus of claim 8, wherein the recommendation engine to associate sex, location, age group, content or current keyword based weights to summaries, based at least in part on respective sex, location, age group, content or current keyword information in the user profile of the user to receive recommendation from the recommendation engine, wherein the content information includes content reading behavior information of the user. 10. The apparatus of claim 8 further comprising a user preference learning module to input information used by the recommendation engine into the user profile. 11. The apparatus of claim 10, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 12. The apparatus of claim 10, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 13. The apparatus of claim 1, wherein the content processing engine to further selective output the plurality of summaries of the plurality of points of view to a user, including highlighting constituent parts of an output, based at least in part on a point of view of the output. 14. The apparatus of claim 1, wherein the content processing engine to further store the plurality of summaries of the plurality of points of view in servers of a content processing cloud environment. 15. The apparatus of claim 14, wherein the content processing cloud environment to suggest a first user to a second user of a social network based at least in part on common interest inferred from user profiles of the first and second users, wherein the user profiles include content reading behavior information of the first and second users. 16. The apparatus of claim 14, the content processing cloud environment to suggest social media information to a first user of a social network, engaged in a search for information about an interest, based at least in part on information of a plurality of user profiles, wherein the user profiles include content reading behavior information of users. 17. The apparatus of claim 1, wherein the apparatus is selected one of a smartphone, a phablet, a computing tablet, a laptop computer, a desktop computer or a game console. 18. An apparatus comprising:
a recommendation engine to rank summaries output by a summarization engine, based at least in part on information in a user profile of a user to receive recommendation from the recommendation engine, and recommend content to the user based at least in part on the ranked summaries; wherein the recommendation engine to associate sex, location, age group, content or current keyword based weights to summaries, based at least in part on respective sex, location, age group, content or current keyword information in the user profile of the user to receive recommendation from the recommendation engine, and wherein the content information includes content reading behavior information of the user. 19. The apparatus of claim 18 further comprising a user preference learning module to input information used by the recommendation engine into the user profile. 20. The apparatus of claim 19, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 21. The apparatus of claim 20, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 22. An apparatus, comprising:
a user preference learning module to input information into a user profile of a user to receive recommendations from a recommendation engine, wherein the recommendation engine provides recommendation based at least in part on keyword information in the user profile, wherein the user preference learning module to receive keywords, associate weight to the keywords, based at least in part on user-driven summary, frequency domain, time line domain, or user feedback, and rank the keywords. 23. The apparatus of claim 22, wherein the user preference learning module to also provide a summary of user preferences and behavior in the user profile for inclusion with a link to be shared over a social network, via email or text message. 24. An apparatus, comprising:
one or more servers to form a content processing cloud environment to receive a plurality of summaries of the plurality of points of view, from a plurality of content processing engines, and store the plurality of summaries of the plurality of points of view for use by recommendation engines to make content recommendations to users based at least in part on information in user profiles of users to receive recommendation; wherein the content processing cloud environment to further suggest a first user to a second user of a social network based at least in part on common interest inferred from user profiles of the first and second users, wherein the user profiles include content reading behavior information of the first and second users. 25. The apparatus of claim 24, the content processing cloud environment to suggest social media information to a first user of a social network, engaged in a search for information about an interest, based at least in part on information of a plurality of user profiles, wherein the user profiles include content reading behavior information of users. | 2,100 |
4,865 | 13,827,321 | 2,169 | A method and system for interfacing SPARQL front ends of SPARQL systems to a non-SPARQL system is provided. A translated SPARQL (“tSPARQL”) system inputs a translated SPARQL query, generates commands for a non-SPARQL system based on the tSPARQL query, and provides those commands to the non-SPARQL system for executing the SPARQL query corresponding to the tSPARQL query. The tSPARQL system translates the tSPARQL query into commands that are provided to a non-SPARQL query engine for executing the SPARQL query represented by the tSPARQL query. When the tSPARQL system receives results of the commands, it provides the results to the SPARQL front end. | 1. A computing system for executing SPARQL queries generated by SPARQL systems, the SPARQL systems having a SPARQL front end and a SPARQL query engine, the computing system comprising:
an RDF data store; a non-SPARQL query engine that
receives commands in a format specific to the non-SPARQL query engine, the commands for accessing the RDF data store;
performs instructions for accessing the RDF data store in accordance with the commands; and
provides results of accessing the RDF data store; and
a translated SPARQL processor that
receives from the SPARQL query engine a translated SPARQL query representation of a SPARQL query;
process the translated SPARQL representation query to generate commands in a format specific to the non-SPARQL query engine, the commands for directing the non-SPARQL query engine to access the RDF data store for execution of the SPARQL query;
sends the generated commands to the non-SPARQL query engine;
receives results of the generated commands; and
provides the results to the SPARQL front end. 2. The computing system of claim 1 wherein each SPARQL query engine provides a command to output a translated SPARQL representation of a SPARQL query. 3. The computing system of claim 1 wherein each SPARQL query engine is designed to interface with a specific data store using commands specific to that data store. 4. The computing system of claim 3 wherein the commands of one data store are incompatible with the commands of another data store. 5. The computing system of claim 1 wherein the parsed SPARQL processor includes a parser for parsing the translated SPARQL query representation. 6. The computing of claim 1 wherein the parsed SPARQL processor is adapted to interface with different SPARQL query engines that generate translated SPARQL queries. 7. A computer-readable storage medium containing computer-executable instructions for controlling execution of a SPARQL query, the instructions comprising:
a component that receives from a SPARQL query engine of a SPARQL system a translated SPARQL query representation a SPARQL query; a component that parses the translated SPARQL query representation and generates commands for a non-SPARQL query engine, the commands for directing the non-SPARQL query engine to access the RDF data store to perform processing for execution of the SPARQL query; a component that sends the generated commands to the non-SPARQL query engine for execution of the SPARQL query; a component that receives the results of accessing the RDF data store; and a component that provides the results to a SPARQL front end of the SPARQL system. 8. The computer-readable storage medium of claim 7 wherein the SPARQL query engine provides a command for outputting a translated SPARQL query representation of a SPARQL query. 9. The computer-readable storage medium of claim 7 wherein the SPARQL query engine is designed to interface with a specific data store using commands specific to that data store. 10. The computer-readable storage medium of claim 9 wherein the commands of one data store are incompatible with the commands of another data store. 11. The computer-readable storage medium of claim 7 wherein the component that generates the commands includes a parser for parsing the translated SPARQL query representation. 12. The computer-readable storage medium of claim 7 wherein the parsed SPARQL processor is adapted to interface with different SPARQL query engines that generate translated SPARQL queries. 13. A method performed by a computing device to support execution of a SPARQL query, comprising:
receiving from a SPARQL query engine a translated SPARQL query, the translated SPARQL query representing a SPARQL query generating from the translated SPARQL query commands to execute the SPARQL query, the commands for directing a non-SPARQL query engine to access an RDF data store for execution of the SPARQL query, the non-SPARQL query engine not adapted to input a SPARQL query; and providing the commands to the non-SPARQL query engine to perform processing of the SPARQL query. 14. The method of claim 13 including receiving results of the commands from the non-SPARQL query engine and providing the results to a SPARQL front end that submitted the SPARQL query to the SPARQL query engine. 15. The method of claim 14 including receiving from a second SPARQL query engine a second translated SPARQL query, generating second commands to execute the second translated SPARQL query, and providing the second commands to the non-SPARQL query engine. 16. The method of claim 14 wherein the SPARQL query engine includes an option to generate a translated SPARQL query representation of a SPARQL query. | A method and system for interfacing SPARQL front ends of SPARQL systems to a non-SPARQL system is provided. A translated SPARQL (“tSPARQL”) system inputs a translated SPARQL query, generates commands for a non-SPARQL system based on the tSPARQL query, and provides those commands to the non-SPARQL system for executing the SPARQL query corresponding to the tSPARQL query. The tSPARQL system translates the tSPARQL query into commands that are provided to a non-SPARQL query engine for executing the SPARQL query represented by the tSPARQL query. When the tSPARQL system receives results of the commands, it provides the results to the SPARQL front end.1. A computing system for executing SPARQL queries generated by SPARQL systems, the SPARQL systems having a SPARQL front end and a SPARQL query engine, the computing system comprising:
an RDF data store; a non-SPARQL query engine that
receives commands in a format specific to the non-SPARQL query engine, the commands for accessing the RDF data store;
performs instructions for accessing the RDF data store in accordance with the commands; and
provides results of accessing the RDF data store; and
a translated SPARQL processor that
receives from the SPARQL query engine a translated SPARQL query representation of a SPARQL query;
process the translated SPARQL representation query to generate commands in a format specific to the non-SPARQL query engine, the commands for directing the non-SPARQL query engine to access the RDF data store for execution of the SPARQL query;
sends the generated commands to the non-SPARQL query engine;
receives results of the generated commands; and
provides the results to the SPARQL front end. 2. The computing system of claim 1 wherein each SPARQL query engine provides a command to output a translated SPARQL representation of a SPARQL query. 3. The computing system of claim 1 wherein each SPARQL query engine is designed to interface with a specific data store using commands specific to that data store. 4. The computing system of claim 3 wherein the commands of one data store are incompatible with the commands of another data store. 5. The computing system of claim 1 wherein the parsed SPARQL processor includes a parser for parsing the translated SPARQL query representation. 6. The computing of claim 1 wherein the parsed SPARQL processor is adapted to interface with different SPARQL query engines that generate translated SPARQL queries. 7. A computer-readable storage medium containing computer-executable instructions for controlling execution of a SPARQL query, the instructions comprising:
a component that receives from a SPARQL query engine of a SPARQL system a translated SPARQL query representation a SPARQL query; a component that parses the translated SPARQL query representation and generates commands for a non-SPARQL query engine, the commands for directing the non-SPARQL query engine to access the RDF data store to perform processing for execution of the SPARQL query; a component that sends the generated commands to the non-SPARQL query engine for execution of the SPARQL query; a component that receives the results of accessing the RDF data store; and a component that provides the results to a SPARQL front end of the SPARQL system. 8. The computer-readable storage medium of claim 7 wherein the SPARQL query engine provides a command for outputting a translated SPARQL query representation of a SPARQL query. 9. The computer-readable storage medium of claim 7 wherein the SPARQL query engine is designed to interface with a specific data store using commands specific to that data store. 10. The computer-readable storage medium of claim 9 wherein the commands of one data store are incompatible with the commands of another data store. 11. The computer-readable storage medium of claim 7 wherein the component that generates the commands includes a parser for parsing the translated SPARQL query representation. 12. The computer-readable storage medium of claim 7 wherein the parsed SPARQL processor is adapted to interface with different SPARQL query engines that generate translated SPARQL queries. 13. A method performed by a computing device to support execution of a SPARQL query, comprising:
receiving from a SPARQL query engine a translated SPARQL query, the translated SPARQL query representing a SPARQL query generating from the translated SPARQL query commands to execute the SPARQL query, the commands for directing a non-SPARQL query engine to access an RDF data store for execution of the SPARQL query, the non-SPARQL query engine not adapted to input a SPARQL query; and providing the commands to the non-SPARQL query engine to perform processing of the SPARQL query. 14. The method of claim 13 including receiving results of the commands from the non-SPARQL query engine and providing the results to a SPARQL front end that submitted the SPARQL query to the SPARQL query engine. 15. The method of claim 14 including receiving from a second SPARQL query engine a second translated SPARQL query, generating second commands to execute the second translated SPARQL query, and providing the second commands to the non-SPARQL query engine. 16. The method of claim 14 wherein the SPARQL query engine includes an option to generate a translated SPARQL query representation of a SPARQL query. | 2,100 |
4,866 | 14,505,179 | 2,121 | A method for operating an automation system provided with a first subsystem and a second subsystem which each process a control program in order to control a technical process, one of these subsystems operating as a master and the other subsystem operating as a slave, wherein measures are provided which make it possible to provide diagnostic and/or test data for diagnostic and/or test measures during control operation, in which case it is not necessary to dispense with a breakpoint function. | 1. A method for operating an automation system provided with a first subsystem and a second subsystem which each process a control program to control a technical process, one of said first and second subsystems operating as a master and another of said first and second subsystems operating as a slave, the method comprising:
providing a slave control program with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction; utilizing the master to transmit releases to the slave, the releases indicating to the slave which processing sections of the slave control program can be processed by the slave, these processing sections corresponding to the processing sections of the master control program which have already been processed; utilizing the slave to process processing sections of the slave control program, which have been released based on the releases, with temporal trailing; utilizing the slave to transmit diagnostic data to an engineering system if one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program; and processing the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to a predefined value. 2. The method as claimed in claim 1, wherein the automation system is implemented as a redundant automation system having a master CPU and a slave CPU, the slave assuming functionality of the master if the master fails. 3. The method as claimed in claim 1, wherein the master is implemented in one core of a multicore CPU and the slave is implemented in a further core of the multicore CPU. 4. An automation system provided with a first subsystem and a second subsystem which each process a control program to control a technical process, one of the first and second subsystems operating as a master and another of the first and second subsystems operating as a slave;
wherein the slave control program is provided with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction; wherein the master is configured to transmit releases to the slave, the releases indicating to the slave which processing sections of the slave control program can be processed by the slave, these processing sections corresponding to the processing sections of the master control program which have already been processed; wherein the slave is configured to process processing sections of the slave control program, which have been released based on the releases, with temporal trailing, the slave being further configured to transmit diagnostic data to an engineering system if one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program, and configured to process the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to a predefined value. 5. The automation system as claimed in claim 4, wherein the automation system is a redundant automation system having a master CPU and a slave CPU, the slave assuming functionality of the master if the master fails. 6. The automation system as claimed in claim 4, wherein the master and the slave form parts of a multicore CPU, a first core of the multicore CPU comprising the master and a second core of the multicore CPU comprising the slave. 7. A slave for the automation system as claimed in claims 4 to 6 which is provided with the first subsystem and the second subsystem which each process the control program to control the technical process, one of the first and second subsystems operating as the master and another of the first and second subsystems operating as the slave;
wherein the slave control program is provided with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction;
wherein the slave is configured to process processing sections of the slave control program, which have been released based on master releases which have been transmitted to the slave and indicate to the slave which processing sections of the slave control program can be processed by the slave, with temporal trailing, the slave being further configured to transmit diagnostic data to the engineering system if the one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program, and configured to process the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to the predefined value. | A method for operating an automation system provided with a first subsystem and a second subsystem which each process a control program in order to control a technical process, one of these subsystems operating as a master and the other subsystem operating as a slave, wherein measures are provided which make it possible to provide diagnostic and/or test data for diagnostic and/or test measures during control operation, in which case it is not necessary to dispense with a breakpoint function.1. A method for operating an automation system provided with a first subsystem and a second subsystem which each process a control program to control a technical process, one of said first and second subsystems operating as a master and another of said first and second subsystems operating as a slave, the method comprising:
providing a slave control program with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction; utilizing the master to transmit releases to the slave, the releases indicating to the slave which processing sections of the slave control program can be processed by the slave, these processing sections corresponding to the processing sections of the master control program which have already been processed; utilizing the slave to process processing sections of the slave control program, which have been released based on the releases, with temporal trailing; utilizing the slave to transmit diagnostic data to an engineering system if one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program; and processing the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to a predefined value. 2. The method as claimed in claim 1, wherein the automation system is implemented as a redundant automation system having a master CPU and a slave CPU, the slave assuming functionality of the master if the master fails. 3. The method as claimed in claim 1, wherein the master is implemented in one core of a multicore CPU and the slave is implemented in a further core of the multicore CPU. 4. An automation system provided with a first subsystem and a second subsystem which each process a control program to control a technical process, one of the first and second subsystems operating as a master and another of the first and second subsystems operating as a slave;
wherein the slave control program is provided with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction; wherein the master is configured to transmit releases to the slave, the releases indicating to the slave which processing sections of the slave control program can be processed by the slave, these processing sections corresponding to the processing sections of the master control program which have already been processed; wherein the slave is configured to process processing sections of the slave control program, which have been released based on the releases, with temporal trailing, the slave being further configured to transmit diagnostic data to an engineering system if one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program, and configured to process the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to a predefined value. 5. The automation system as claimed in claim 4, wherein the automation system is a redundant automation system having a master CPU and a slave CPU, the slave assuming functionality of the master if the master fails. 6. The automation system as claimed in claim 4, wherein the master and the slave form parts of a multicore CPU, a first core of the multicore CPU comprising the master and a second core of the multicore CPU comprising the slave. 7. A slave for the automation system as claimed in claims 4 to 6 which is provided with the first subsystem and the second subsystem which each process the control program to control the technical process, one of the first and second subsystems operating as the master and another of the first and second subsystems operating as the slave;
wherein the slave control program is provided with at least one of (i) at least one diagnostic instruction and (ii) at least one test instruction;
wherein the slave is configured to process processing sections of the slave control program, which have been released based on master releases which have been transmitted to the slave and indicate to the slave which processing sections of the slave control program can be processed by the slave, with temporal trailing, the slave being further configured to transmit diagnostic data to the engineering system if the one of (i) the at least one diagnostic instruction and (ii) the at least one test instruction is processed in the slave control program, and configured to process the processing sections of the slave control program more quickly relative to the processing of the processing sections of the master control program to reduce the temporal trailing of the processing to the predefined value. | 2,100 |
4,867 | 14,940,875 | 2,113 | A method includes determining whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage. The method also includes, in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern and determining a strength of the causal relationship between the first pattern and the second pattern. The method also includes, based on the strength of the causal relationship, predicting whether the second pattern will occur, and, in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur. | 1. A method for predicting a significant pattern in real-time, comprising:
identifying a first pattern in a plurality of real-time data; determining, using a processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage; in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library; in response to determining that the first pattern has a causal relationship with the second pattern, determining a strength of the causal relationship between the first pattern and the second pattern; based on the strength of the causal relationship, predicting whether the second pattern will occur; and in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur. 2. The method of claim 1, wherein in response to determining that the first pattern has been marked as a known significant pattern, the method further comprises storing the first pattern as an occurrence of the known significant pattern in the storage. 3. The method of claim 1, further comprising:
determining statistics for the prediction that the second pattern will occur based on the strength of the causal relationship between the first pattern and the second pattern; and providing the statistics to the system administrator in real-time. 4. The method of claim 1, further comprising:
reading, from the library in the storage, a significance of the second pattern; and based on the significance of the second pattern, heightening the alert to the system administrator in real-time. 5. The method of claim 1, wherein alerting the system administrator in real-time that the second pattern will occur further comprises providing the system administrator with metadata relating to the relationship between the first pattern and the second pattern selected from the group consisting of:
a time at which the second pattern will occur; a probability that the second pattern will occur; and a confidence that the second pattern will occur. 6. The method of claim 1, wherein a plurality of processors monitor the plurality of real-time data from a plurality of system components to identify the first pattern. 7. The method of claim 1, further comprising progressively reporting data to the system administrator as the first pattern is observed in real time. 8. The method of claim 1, further comprising:
retrieving any other occurrences of the first pattern from the library in the storage; and reporting the retrieved occurrences to the system administrator. 9. The method of claim 1, wherein the second pattern indicates a failure of a system component. 10. A computer configured to access a storage device, the computer comprising:
a processor; and a non-transitory, computer-readable storage medium storing computer-readable instructions that when executed by the processor cause the computer to perform:
identifying a first pattern in a plurality of real-time data;
determining, using the processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage;
in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library;
in response to determining that the first pattern has a causal relationship with the second pattern, determining a strength of the causal relationship between the first pattern and the second pattern;
based on the strength of the causal relationship, predicting whether the second pattern will occur; and
in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur. 11. The computer of claim 10, wherein in response to determining that the first pattern has been marked as a known significant pattern, the computer-readable instructions further cause the computer to perform storing the first pattern as an occurrence of the known significant pattern in the storage. 12. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
determining statistics for the prediction that the second pattern will occur based on the strength of the causal relationship between the first pattern and the second pattern; and providing the statistics to the system administrator in real-time. 13. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
reading, from the library in the storage, a significance of the second pattern; and based on the significance of the second pattern, heightening the alert to the system administrator in real-time. 14. The computer of claim 10, wherein alerting the system administrator in real-time that the second pattern will occur further comprises providing the system administrator with metadata relating to the relationship between the first pattern and the second pattern selected from the group consisting of:
a time at which the second pattern will occur; a probability that the second pattern will occur; and a confidence that the second pattern will occur. 15. The computer of claim 10, wherein a plurality of processors monitor the plurality of real-time data from a plurality of system components to identify the first pattern. 16. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform progressively reporting data to the system administrator as the first pattern is observed in real time. 17. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
retrieving any other occurrences of the first pattern from the library in the storage; and reporting the retrieved occurrences to the system administrator. 18. The computer of claim 10, wherein the second pattern indicates a failure of a system component. 19. A computer program product comprising:
a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising:
computer-readable program code configured to identify a first pattern in a plurality of real-time data;
computer-readable program code configured to determine, using a processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage;
computer-readable program code configured to, in response to determining that the first pattern has been marked as a known significant pattern, determine whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library;
computer-readable program code configured to, in response to determining that the first pattern has a causal relationship with the second pattern, determine a strength of the causal relationship between the first pattern and the second pattern;
computer-readable program code configured to predict whether the second pattern will occur based on the strength of the causal relationship; and
computer-readable program code configured to, in response to predicting that the second pattern will occur, alert a system administrator in real-time that the second pattern will occur. 20. The computer program product of claim 19, wherein in response to determining that the first pattern has been marked as a known significant pattern, the computer-readable program code further comprises computer-readable program code configured to store the first pattern as an occurrence of the known significant pattern in the storage. | A method includes determining whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage. The method also includes, in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern and determining a strength of the causal relationship between the first pattern and the second pattern. The method also includes, based on the strength of the causal relationship, predicting whether the second pattern will occur, and, in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur.1. A method for predicting a significant pattern in real-time, comprising:
identifying a first pattern in a plurality of real-time data; determining, using a processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage; in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library; in response to determining that the first pattern has a causal relationship with the second pattern, determining a strength of the causal relationship between the first pattern and the second pattern; based on the strength of the causal relationship, predicting whether the second pattern will occur; and in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur. 2. The method of claim 1, wherein in response to determining that the first pattern has been marked as a known significant pattern, the method further comprises storing the first pattern as an occurrence of the known significant pattern in the storage. 3. The method of claim 1, further comprising:
determining statistics for the prediction that the second pattern will occur based on the strength of the causal relationship between the first pattern and the second pattern; and providing the statistics to the system administrator in real-time. 4. The method of claim 1, further comprising:
reading, from the library in the storage, a significance of the second pattern; and based on the significance of the second pattern, heightening the alert to the system administrator in real-time. 5. The method of claim 1, wherein alerting the system administrator in real-time that the second pattern will occur further comprises providing the system administrator with metadata relating to the relationship between the first pattern and the second pattern selected from the group consisting of:
a time at which the second pattern will occur; a probability that the second pattern will occur; and a confidence that the second pattern will occur. 6. The method of claim 1, wherein a plurality of processors monitor the plurality of real-time data from a plurality of system components to identify the first pattern. 7. The method of claim 1, further comprising progressively reporting data to the system administrator as the first pattern is observed in real time. 8. The method of claim 1, further comprising:
retrieving any other occurrences of the first pattern from the library in the storage; and reporting the retrieved occurrences to the system administrator. 9. The method of claim 1, wherein the second pattern indicates a failure of a system component. 10. A computer configured to access a storage device, the computer comprising:
a processor; and a non-transitory, computer-readable storage medium storing computer-readable instructions that when executed by the processor cause the computer to perform:
identifying a first pattern in a plurality of real-time data;
determining, using the processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage;
in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library;
in response to determining that the first pattern has a causal relationship with the second pattern, determining a strength of the causal relationship between the first pattern and the second pattern;
based on the strength of the causal relationship, predicting whether the second pattern will occur; and
in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur. 11. The computer of claim 10, wherein in response to determining that the first pattern has been marked as a known significant pattern, the computer-readable instructions further cause the computer to perform storing the first pattern as an occurrence of the known significant pattern in the storage. 12. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
determining statistics for the prediction that the second pattern will occur based on the strength of the causal relationship between the first pattern and the second pattern; and providing the statistics to the system administrator in real-time. 13. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
reading, from the library in the storage, a significance of the second pattern; and based on the significance of the second pattern, heightening the alert to the system administrator in real-time. 14. The computer of claim 10, wherein alerting the system administrator in real-time that the second pattern will occur further comprises providing the system administrator with metadata relating to the relationship between the first pattern and the second pattern selected from the group consisting of:
a time at which the second pattern will occur; a probability that the second pattern will occur; and a confidence that the second pattern will occur. 15. The computer of claim 10, wherein a plurality of processors monitor the plurality of real-time data from a plurality of system components to identify the first pattern. 16. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform progressively reporting data to the system administrator as the first pattern is observed in real time. 17. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:
retrieving any other occurrences of the first pattern from the library in the storage; and reporting the retrieved occurrences to the system administrator. 18. The computer of claim 10, wherein the second pattern indicates a failure of a system component. 19. A computer program product comprising:
a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising:
computer-readable program code configured to identify a first pattern in a plurality of real-time data;
computer-readable program code configured to determine, using a processor, whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage;
computer-readable program code configured to, in response to determining that the first pattern has been marked as a known significant pattern, determine whether the first pattern has a causal relationship with a second pattern, the second pattern also marked as a known significant pattern in the library;
computer-readable program code configured to, in response to determining that the first pattern has a causal relationship with the second pattern, determine a strength of the causal relationship between the first pattern and the second pattern;
computer-readable program code configured to predict whether the second pattern will occur based on the strength of the causal relationship; and
computer-readable program code configured to, in response to predicting that the second pattern will occur, alert a system administrator in real-time that the second pattern will occur. 20. The computer program product of claim 19, wherein in response to determining that the first pattern has been marked as a known significant pattern, the computer-readable program code further comprises computer-readable program code configured to store the first pattern as an occurrence of the known significant pattern in the storage. | 2,100 |
4,868 | 13,803,852 | 2,159 | A computer implemented system and method uses real time interaction among associations of digital data relating to digital media. The system comprises a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item. A user device accesses digital media. The user device, in operative collaboration with the database system, identifies one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media. This includes comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items. The database system retrieves the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items and transmits the associated digital media items and/or the related buttons and features to the user device. | 1. A computer implemented method using real time interaction among associations of digital data relating to digital media, the method comprising:
providing a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item; a user device accessing digital media; the user device, in operative collaboration with the database, identifying one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media; comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items; the database system retrieving the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items; and transmitting the associated digital media items and/or the related buttons and features to the user device. 2. The method of claim 1, wherein digital media comprises of at least one digital image, digital albums or digital video. 3. The method of claim 1, wherein digital data is comprised of one or more of an advertising module, a database, digital media, a recognition/region association component, and a feature/information display component. 4. The method of claim 3, wherein the recognition/region association component comprises automatic recognition of a person, place, landmark, building, business, restaurant, object, figure, or advertisement. 5. The method of claim 3, wherein the feature/information display component Is derived from one or more of user input data, social network, database, user device storage, Hashtags, or search data. 6. The method of claim 1, further comprising storing and/or indexing any interaction or operation resulting from operations from a user device. 7. The method of claim 1, wherein the associated digital data is identified manually through a user and/or automatically through a server system; and wherein each association is received, processed, sent, and/or stored on the database system; and wherein a user is presented a generated interface related to at least one association. 8. The method of claim 1, wherein digital media items and/or association are interconnected with identifying tags and/or identifying keywords and digital media items contain processed and derived digital data of categories, traits and/or information. 9. A computer implemented method on a user device where one or more digital media items are presented to users, the method comprising:
providing a database system storing a plurality of digital media items each having associated digital data relating to one or more of user basic information, user favorites, user profile, user relationship, user interest, user preferences, or user social connection; a user device accessing one or more digital media items from the database system; and user selecting associated digital data from the accessed digital media items. 10. The method of claim 9, wherein the digital media items comprise digital images, digital albums or digital video. 11. The method of claim 9, wherein the associated digital data comprises one or more person, place, landmark, building, business, restaurant, object, figure, or advertisement. 12. The method of claim 9, wherein digital data includes one or more common elements producing combined data, score, weight and value. 13. The method of claim 9, wherein digital data comprises one or more advertising module, database, digital media, recognition/region association component, feature/information display component, or information associated with digital media. 14. A system comprising:
a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item; a user device accessing digital media; the user device, in operative collaboration with the database system, identifying one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media; including comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items; the database system retrieving the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items; and transmitting the associated digital media items and/or the related buttons and features to the user device. 15. The system of claim 14, wherein digital media comprises of at least one digital image, digital albums or digital video. 16. The system of claim 14, wherein digital data is comprised of one or more of an advertising module, a database, digital media, a recognition/region association component, and a feature/information display component. 17. The system of claim 16, wherein the recognition/region association component comprises automatic recognition of a person, place, landmark, building, business, restaurant, object, figure, or advertisement. 18. The system of claim 16, wherein the feature/information display component Is derived from one or more of user input data, social network, database, user device storage, Hashtags, or search data. 19. The system of claim 14, wherein the associated digital data is identified manually through a user and/or automatically through a server system; and wherein each association is received, processed, sent, and/or stored on the database system; and wherein a user is presented a generated interface related to at least one association. 20. The system of claim 14, wherein digital media items and/or association are interconnected with identifying tags and/or identifying keywords and digital media items contain processed and derived digital data of categories, traits and/or information. 21. A computer system comprising:
a database system storing a plurality of digital media items each having associated digital data relating to one or more of user basic information, user favorites, user profile, user relationship, user interest, user preferences, or user social connection; and a user device accessing one or more digital media items from the database system; and wherein the user selects associated digital data from the accessed digital media items. 22. The computer system of claim 21, wherein the digital media items comprise digital images, digital albums or digital video. 23. The computer system of claim 21, wherein the associated digital data comprises one or more person, place, landmark, building, business, restaurant, object, figure, or advertisement. 24. The computer system of claim 21, wherein digital data includes one or more common elements producing combined data, score, weight and value. 25. The computer system of claim 21, wherein digital data comprises one or more advertising module, database, digital media, recognition/region association component, feature/information display component, or information associated with digital media. 26. The computer system of claim 21, wherein the database system further comprises a software development kit for building applications, buttons and/or features including an application programming interface relating to digital data and/or digital media items. | A computer implemented system and method uses real time interaction among associations of digital data relating to digital media. The system comprises a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item. A user device accesses digital media. The user device, in operative collaboration with the database system, identifies one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media. This includes comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items. The database system retrieves the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items and transmits the associated digital media items and/or the related buttons and features to the user device.1. A computer implemented method using real time interaction among associations of digital data relating to digital media, the method comprising:
providing a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item; a user device accessing digital media; the user device, in operative collaboration with the database, identifying one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media; comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items; the database system retrieving the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items; and transmitting the associated digital media items and/or the related buttons and features to the user device. 2. The method of claim 1, wherein digital media comprises of at least one digital image, digital albums or digital video. 3. The method of claim 1, wherein digital data is comprised of one or more of an advertising module, a database, digital media, a recognition/region association component, and a feature/information display component. 4. The method of claim 3, wherein the recognition/region association component comprises automatic recognition of a person, place, landmark, building, business, restaurant, object, figure, or advertisement. 5. The method of claim 3, wherein the feature/information display component Is derived from one or more of user input data, social network, database, user device storage, Hashtags, or search data. 6. The method of claim 1, further comprising storing and/or indexing any interaction or operation resulting from operations from a user device. 7. The method of claim 1, wherein the associated digital data is identified manually through a user and/or automatically through a server system; and wherein each association is received, processed, sent, and/or stored on the database system; and wherein a user is presented a generated interface related to at least one association. 8. The method of claim 1, wherein digital media items and/or association are interconnected with identifying tags and/or identifying keywords and digital media items contain processed and derived digital data of categories, traits and/or information. 9. A computer implemented method on a user device where one or more digital media items are presented to users, the method comprising:
providing a database system storing a plurality of digital media items each having associated digital data relating to one or more of user basic information, user favorites, user profile, user relationship, user interest, user preferences, or user social connection; a user device accessing one or more digital media items from the database system; and user selecting associated digital data from the accessed digital media items. 10. The method of claim 9, wherein the digital media items comprise digital images, digital albums or digital video. 11. The method of claim 9, wherein the associated digital data comprises one or more person, place, landmark, building, business, restaurant, object, figure, or advertisement. 12. The method of claim 9, wherein digital data includes one or more common elements producing combined data, score, weight and value. 13. The method of claim 9, wherein digital data comprises one or more advertising module, database, digital media, recognition/region association component, feature/information display component, or information associated with digital media. 14. A system comprising:
a database system storing a plurality of digital media items each having associated digital data relating to features of the digital media item; a user device accessing digital media; the user device, in operative collaboration with the database system, identifying one or more features of the accessed digital media to determine associated digital data relating to the features of the accessed digital media; including comparing digital data of the accessed digital media with digital data of the stored digital media items to identify associations between the accessed digital media with digital data of the stored digital media items, defining associated digital media items; the database system retrieving the associated digital media items and generating buttons and/or features relating to digital data for the associated digital media items; and transmitting the associated digital media items and/or the related buttons and features to the user device. 15. The system of claim 14, wherein digital media comprises of at least one digital image, digital albums or digital video. 16. The system of claim 14, wherein digital data is comprised of one or more of an advertising module, a database, digital media, a recognition/region association component, and a feature/information display component. 17. The system of claim 16, wherein the recognition/region association component comprises automatic recognition of a person, place, landmark, building, business, restaurant, object, figure, or advertisement. 18. The system of claim 16, wherein the feature/information display component Is derived from one or more of user input data, social network, database, user device storage, Hashtags, or search data. 19. The system of claim 14, wherein the associated digital data is identified manually through a user and/or automatically through a server system; and wherein each association is received, processed, sent, and/or stored on the database system; and wherein a user is presented a generated interface related to at least one association. 20. The system of claim 14, wherein digital media items and/or association are interconnected with identifying tags and/or identifying keywords and digital media items contain processed and derived digital data of categories, traits and/or information. 21. A computer system comprising:
a database system storing a plurality of digital media items each having associated digital data relating to one or more of user basic information, user favorites, user profile, user relationship, user interest, user preferences, or user social connection; and a user device accessing one or more digital media items from the database system; and wherein the user selects associated digital data from the accessed digital media items. 22. The computer system of claim 21, wherein the digital media items comprise digital images, digital albums or digital video. 23. The computer system of claim 21, wherein the associated digital data comprises one or more person, place, landmark, building, business, restaurant, object, figure, or advertisement. 24. The computer system of claim 21, wherein digital data includes one or more common elements producing combined data, score, weight and value. 25. The computer system of claim 21, wherein digital data comprises one or more advertising module, database, digital media, recognition/region association component, feature/information display component, or information associated with digital media. 26. The computer system of claim 21, wherein the database system further comprises a software development kit for building applications, buttons and/or features including an application programming interface relating to digital data and/or digital media items. | 2,100 |
4,869 | 14,076,494 | 2,176 | An embodiment provides a method, including: receiving handwriting input at a user input interface; rendering the handwriting input on a display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. Other aspects are described and claimed. | 1. A method, comprising:
receiving handwriting input at a user input interface; rendering the handwriting input on a display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. 2. The method of claim 1, wherein the format is selected from a group of formats consisting of a drawing format and a text format. 3. The method of claim 2, further comprising presenting sub-areas in the user input interface for selecting the drawing format and the text format. 4. The method of claim 2, further comprising presenting a text-input preview sub-area in the user input interface. 5. The method of claim 4, wherein the text-input preview sub-area in the user input interface displays the top n text inputs determined for the handwriting inputs, wherein n is an integer. 6. The method of claim 1, wherein the application is selected from the group of applications consisting of a word processing application, an email application, a slide presentation application, and a note taking application. 7. The method of claim 2, further comprising saving the text format of the handwriting input as metadata when the drawing format is selected. 8. The method of claim 2, further comprising saving biometric metadata of the drawing input when the drawing format is selected. 9. The method of claim 8, wherein the biometric metadata is selected from the group of data consisting of timestamp data, pressure data, position data, speed data, and curvature data. 10. The method of claim 1, wherein the user input interface and the display device are co-located in a touch screen. 11. An information handling device, comprising:
an user input interface; a display device; a processor; and a memory device storing instructions executable by the processor to: receiving handwriting input at the user input interface; rendering the handwriting input on the display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. 12. The information handling device of claim 11, wherein the format is selected from a group of formats consisting of a drawing format and a text format. 13. The information handling device of claim 12, wherein the instructions are further executable by the processor to present sub-areas in the user input interface for selecting the drawing format and the text format. 14. The information handling device of claim 12, wherein the instructions are further executable by the processor to present a text-input preview sub-area in the user input interface. 15. The information handling device of claim 14, wherein the text-input preview sub-area in the user input interface displays the top n text inputs determined for the handwriting inputs, wherein n is an integer. 16. The information handling device of claim 11, wherein the application is selected from the group of applications consisting of a word processing application, an email application, a slide presentation application, and a note taking application. 17. The information handling device of claim 12, wherein the instructions are further executable by the processor to save the text format of the handwriting input as metadata when the drawing format is selected. 18. The information handling device of claim 12, wherein the instructions are further executable by the processor to save biometric metadata of the drawing input when the drawing format is selected. 19. The information handling device of claim 18, wherein the biometric metadata is selected from the group of data consisting of timestamp data, pressure data, position data, speed data, and curvature data. 20. A program product, comprising:
a storage medium comprising computer readable program code, the computer readable program code comprising: computer readable program code configured to receive handwriting input at a user input interface; computer readable program code configured to render the handwriting input on a display device; computer readable program code configured to, after rendering the handwriting input, determine a user selection of a format for entering the handwriting input into an application; and computer readable program code configured to enter the handwriting input into the application in the format selected. | An embodiment provides a method, including: receiving handwriting input at a user input interface; rendering the handwriting input on a display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. Other aspects are described and claimed.1. A method, comprising:
receiving handwriting input at a user input interface; rendering the handwriting input on a display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. 2. The method of claim 1, wherein the format is selected from a group of formats consisting of a drawing format and a text format. 3. The method of claim 2, further comprising presenting sub-areas in the user input interface for selecting the drawing format and the text format. 4. The method of claim 2, further comprising presenting a text-input preview sub-area in the user input interface. 5. The method of claim 4, wherein the text-input preview sub-area in the user input interface displays the top n text inputs determined for the handwriting inputs, wherein n is an integer. 6. The method of claim 1, wherein the application is selected from the group of applications consisting of a word processing application, an email application, a slide presentation application, and a note taking application. 7. The method of claim 2, further comprising saving the text format of the handwriting input as metadata when the drawing format is selected. 8. The method of claim 2, further comprising saving biometric metadata of the drawing input when the drawing format is selected. 9. The method of claim 8, wherein the biometric metadata is selected from the group of data consisting of timestamp data, pressure data, position data, speed data, and curvature data. 10. The method of claim 1, wherein the user input interface and the display device are co-located in a touch screen. 11. An information handling device, comprising:
an user input interface; a display device; a processor; and a memory device storing instructions executable by the processor to: receiving handwriting input at the user input interface; rendering the handwriting input on the display device; after rendering the handwriting input, determining a user selection of a format for entering the handwriting input into an application; and entering the handwriting input into the application in the format selected. 12. The information handling device of claim 11, wherein the format is selected from a group of formats consisting of a drawing format and a text format. 13. The information handling device of claim 12, wherein the instructions are further executable by the processor to present sub-areas in the user input interface for selecting the drawing format and the text format. 14. The information handling device of claim 12, wherein the instructions are further executable by the processor to present a text-input preview sub-area in the user input interface. 15. The information handling device of claim 14, wherein the text-input preview sub-area in the user input interface displays the top n text inputs determined for the handwriting inputs, wherein n is an integer. 16. The information handling device of claim 11, wherein the application is selected from the group of applications consisting of a word processing application, an email application, a slide presentation application, and a note taking application. 17. The information handling device of claim 12, wherein the instructions are further executable by the processor to save the text format of the handwriting input as metadata when the drawing format is selected. 18. The information handling device of claim 12, wherein the instructions are further executable by the processor to save biometric metadata of the drawing input when the drawing format is selected. 19. The information handling device of claim 18, wherein the biometric metadata is selected from the group of data consisting of timestamp data, pressure data, position data, speed data, and curvature data. 20. A program product, comprising:
a storage medium comprising computer readable program code, the computer readable program code comprising: computer readable program code configured to receive handwriting input at a user input interface; computer readable program code configured to render the handwriting input on a display device; computer readable program code configured to, after rendering the handwriting input, determine a user selection of a format for entering the handwriting input into an application; and computer readable program code configured to enter the handwriting input into the application in the format selected. | 2,100 |
4,870 | 14,170,490 | 2,199 | A method for defining new resource types in an operating software system, comprising electronically modifying a secured entity table to add a new resource. Electronically modifying a secured entity action table to add the new resource. Electronically modifying a resource type table to add the new resource. Electronically modifying a resource relation table to add the new resource relationships. Electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system. Electronically detect and handle compatible and incompatible schema upgrades. | 1. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table to add a new resource; electronically modifying a secured entity action table to add the new resource; electronically modifying a resource type table to add the new resource; electronically modifying a resource relation table to add the new resource; and electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system. 2. The method of claim 1 further comprising associating the new resource and an existing resource in the resource relation table. 3. The method of claim 1 wherein electronically modifying the secured entity table comprises electronically modifying the secured entity table in a persistence layer. 4. The method of claim 1 further comprising electronically modifying a role based access control table as a function of the modified secured entity action table. 5. The method of claim 1 further comprising electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table. 6. The method of claim 3 further comprising electronically modifying a resource data access object as a function of electronically modifying the resource relation table. 7. The method of claim 6 wherein electronically modifying the resource data access object comprises electronically modifying the resource data access object in a data access layer. 8. The method of claim 6 further comprising electronically modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. 9. The method of claim 8 further comprising electronically modifying a resource manager as a function of electronically modifying the resource type catalog. 10. The method of claim 9 further comprising electronically modifying a resource business entity in a business layer as a function of electronically modifying the resource manager. 11. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table in a persistence layer to add a new resource; electronically modifying a secured entity action table in the persistence layer to add the new resource; electronically modifying a resource type table in the persistence layer to add the new resource; electronically modifying a resource relation table in the persistence layer to add the new resource; electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system; associating the new resource and an existing resource in the resource relation table; electronically modifying a role based access control table as a function of the modified secured entity action table; electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table; electronically modifying a resource data access object in a data access layer as a function of electronically modifying the resource relation table; modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. electronically modifying a resource manager as a function of electronically modifying the resource type catalog; and electronically modifying a resource business entity in a business layer as a function of electronically modifying the resource manager. 12. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table to modify an existing resource; electronically modifying a secured entity action table to modify the existing resource; electronically modifying a resource type table to modify the existing resource; electronically modifying a resource relation table to modify the existing resource; and electronically flushing one or more runtime caches to deploy the modified existing resource without recompiling the software system. 13. The method of claim 12 further comprising associating the modified existing resource and an unmodified existing resource in the resource relation table. 14. The method of claim 12 wherein electronically modifying the secured entity table comprises electronically modifying the secured entity table in a persistence layer. 15. The method of claim 12 further comprising electronically modifying a role based access control table as a function of the modified secured entity action table. 16. The method of claim 12 further comprising electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table. 17. The method of claim 14 further comprising electronically modifying a resource data access object as a function of electronically modifying the resource relation table. 18. The method of claim 17 wherein electronically modifying the resource data access object comprises electronically modifying the resource data access object in a data access layer. 19. The method of claim 17 further comprising electronically modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. 20. The method of claim 19 further comprising electronically modifying a resource manager as a function of electronically modifying the resource type catalog. | A method for defining new resource types in an operating software system, comprising electronically modifying a secured entity table to add a new resource. Electronically modifying a secured entity action table to add the new resource. Electronically modifying a resource type table to add the new resource. Electronically modifying a resource relation table to add the new resource relationships. Electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system. Electronically detect and handle compatible and incompatible schema upgrades.1. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table to add a new resource; electronically modifying a secured entity action table to add the new resource; electronically modifying a resource type table to add the new resource; electronically modifying a resource relation table to add the new resource; and electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system. 2. The method of claim 1 further comprising associating the new resource and an existing resource in the resource relation table. 3. The method of claim 1 wherein electronically modifying the secured entity table comprises electronically modifying the secured entity table in a persistence layer. 4. The method of claim 1 further comprising electronically modifying a role based access control table as a function of the modified secured entity action table. 5. The method of claim 1 further comprising electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table. 6. The method of claim 3 further comprising electronically modifying a resource data access object as a function of electronically modifying the resource relation table. 7. The method of claim 6 wherein electronically modifying the resource data access object comprises electronically modifying the resource data access object in a data access layer. 8. The method of claim 6 further comprising electronically modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. 9. The method of claim 8 further comprising electronically modifying a resource manager as a function of electronically modifying the resource type catalog. 10. The method of claim 9 further comprising electronically modifying a resource business entity in a business layer as a function of electronically modifying the resource manager. 11. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table in a persistence layer to add a new resource; electronically modifying a secured entity action table in the persistence layer to add the new resource; electronically modifying a resource type table in the persistence layer to add the new resource; electronically modifying a resource relation table in the persistence layer to add the new resource; electronically flushing one or more runtime caches to deploy the new resource without recompiling the software system; associating the new resource and an existing resource in the resource relation table; electronically modifying a role based access control table as a function of the modified secured entity action table; electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table; electronically modifying a resource data access object in a data access layer as a function of electronically modifying the resource relation table; modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. electronically modifying a resource manager as a function of electronically modifying the resource type catalog; and electronically modifying a resource business entity in a business layer as a function of electronically modifying the resource manager. 12. A method for defining new resource types in an operating software system, comprising:
electronically modifying a secured entity table to modify an existing resource; electronically modifying a secured entity action table to modify the existing resource; electronically modifying a resource type table to modify the existing resource; electronically modifying a resource relation table to modify the existing resource; and electronically flushing one or more runtime caches to deploy the modified existing resource without recompiling the software system. 13. The method of claim 12 further comprising associating the modified existing resource and an unmodified existing resource in the resource relation table. 14. The method of claim 12 wherein electronically modifying the secured entity table comprises electronically modifying the secured entity table in a persistence layer. 15. The method of claim 12 further comprising electronically modifying a role based access control table as a function of the modified secured entity action table. 16. The method of claim 12 further comprising electronically modifying a resource configuration data access object as a function of electronically modifying one or more of the secured entity table, the secured entity action table and the resource type table. 17. The method of claim 14 further comprising electronically modifying a resource data access object as a function of electronically modifying the resource relation table. 18. The method of claim 17 wherein electronically modifying the resource data access object comprises electronically modifying the resource data access object in a data access layer. 19. The method of claim 17 further comprising electronically modifying a resource type catalog in a resource management layer as a function of electronically modifying the resource data access object in the data access layer. 20. The method of claim 19 further comprising electronically modifying a resource manager as a function of electronically modifying the resource type catalog. | 2,100 |
4,871 | 14,528,374 | 2,165 | Systems, devices, features, and methods for updating a geographic database, such as a navigation-related database, and/or reporting discrepancies associated with geographic data of the geographic database are disclosed. For example, one method comprises capturing a photograph of an observed geographic feature in a geographic region. Comment information corresponding to the observed geographic feature may be stored. The comment information is indicative of a discrepancy between the observed geographic feature and the geographic data corresponding to the geographic region. The comment information may be associated with the photograph to generate a report, and the report is transmitted. | 1. A method comprising:
providing, by a navigation device, a navigation related service including geographic data from a geographic database; receiving, at the navigation device, an indication of a perceived discrepancy between a geographic feature and the geographic data from the geographic database; capturing image data collected at a position in the vicinity of the perceived discrepancy; generating, by the navigation device, location data associated with the position of the image data; receiving comment data textually describing the perceived discrepancy; generating, at the navigation device, a report including the image data, the location data, and the comment data; and sending the report including the image data, the location data, and the comment data to a map developer for the geographic database. | Systems, devices, features, and methods for updating a geographic database, such as a navigation-related database, and/or reporting discrepancies associated with geographic data of the geographic database are disclosed. For example, one method comprises capturing a photograph of an observed geographic feature in a geographic region. Comment information corresponding to the observed geographic feature may be stored. The comment information is indicative of a discrepancy between the observed geographic feature and the geographic data corresponding to the geographic region. The comment information may be associated with the photograph to generate a report, and the report is transmitted.1. A method comprising:
providing, by a navigation device, a navigation related service including geographic data from a geographic database; receiving, at the navigation device, an indication of a perceived discrepancy between a geographic feature and the geographic data from the geographic database; capturing image data collected at a position in the vicinity of the perceived discrepancy; generating, by the navigation device, location data associated with the position of the image data; receiving comment data textually describing the perceived discrepancy; generating, at the navigation device, a report including the image data, the location data, and the comment data; and sending the report including the image data, the location data, and the comment data to a map developer for the geographic database. | 2,100 |
4,872 | 12,941,720 | 2,167 | A resume database system allows for resume records on the resume database system to be viewed by others via a Uniform Resource Locator, URL. In addition, in response to instructions from an authorized user of the resume database system, input from an unauthorized, but otherwise verified, source can be added to the database by the resume database system. The verified user accesses the resume database and completes any necessary forms via a web browser and submits the information. The authorized user defines the actions that the verified user is allowed to take. These actions include, for example, only being able to review resume information, or being able to add information to the resume database without needing training on the operation of the database. A resume database server system coordinates the activity of the authorized and verified users. Communications between all three users is accomplished via a computer network. | 1. A computer-implemented method of providing resume information stored in a resume database to a recipient, the method comprising:
(a) identifying the resume information in the resume database; and (b) directing a system management function to send to the recipient a Uniforn Resource Locator, URL, pointing to the identified resume information. 2. The computer implemented method of claim 1, further comprising:
storing information regarding the recipient's accessing of the identified resume information. 3. The computer-implemented method of claim 1, further comprising:
sending a notification after the recipient has accessed the identified resume information. 4. The computer-implemented method of claim 3, wherein:
the notification is sent to an entity other than the recipient. 5. The computer-implemented method of claim 1, wherein the URL comprises at least one of:
(i) a first identifier associated with the identified resume information; and (ii) a second identifier associated with an instance of the URL 6. The computer-implemented method of claim 5, wherein the URL becomes invalid at a predetermined point in time. 7. The computer-implemented method of claim 2, wherein at least one of items (i)-(ii) is used to create a security key specifically identifying the URL. 8. The computer-implemented method of claim 1, wherein the URL comprises:
an indicator for the system management function to accept input from the recipient, wherein the database management function stores the accepted input in association with the identified resume information in the resume database. 9. The computer-implemented method of claim 8, further comprising:
the system management function sends a copy of the accepted input to an entity that directed the system management function to send the URL to the recipient. 10. The computer-implemented method of claim 1, wherein a date and time indicator is associated with the URL, said date and time indicator specifying a date and time at which the URL expires. 11. A method of providing access to a resume database, the method comprising:
under control of a first client system:
sending an access instruction message;
under control of a server system:
receiving the access instruction message from the first client system;
identifying a resume record within the access instruction message;
identifying a destination address within the access instruction message;
creating a Uniform Resource Locator, URL, pointing to the resume record in the resume database; and
transmitting the URL to the destination address. 12. The method of claim 11, wherein the URL comprises at least one of:
(i) a first identifier associated with the resume record; and (ii) a second identifier associated with the creation of the URL. 13. The method of claim 11, wherein the access instruction message comprises at least one of:
(a) an indication of a form to be completed by a user associated with the destination address; (b) a time duration representing a time period during which the URL is valid; and (c) a request for a confirmation message to be sent to the first client system when the URL is transmitted to the destination address. 14. The method of claim 11, wherein the destination address is located at a second client system and the URL is transmitted from the server system to the second client system via a computer network. 15. The method of claim 11, further comprising:
under control of the first client system:
accessing the resume database;
searching the resume database to determine the resume record; and
identifying the determined resume record in the access instruction message. 16. The method of claim 15, further comprising:
under control of the first client system: determining the destination address to which the determined resume record will be directed; and identifying the determined destination address in the access instruction message. 17. The method of claim 11, wherein the destination address is located at a second client system, the method further comprising:
under control of the second client system:
receiving the URL from the server system; and accessing the server system via the URL. 18. The method of claim 17, further comprising:
under control of the server system:
detecting an access to the server system by the second client system via the URL;
determining whether or not the URL is authorized; and
after the URL is determined to be authorized:
identifying a resume record from the URL;
retrieving the resume record from the resume database; and
causing the resume record to be displayed on the second client system. 19. The method of claim 18, wherein the step of determining whether or not the URL is authorized comprises:
under control of the server system: identifying the resume record and a URL identifier in the URL; and comparing a first set comprising the identified resume record and the URL identifier to stored authorized sets; and when the first set matches one of the stored authorized sets, determining that the URL is authorized. 20-24. (canceled) 25. A system for sharing and updating resume information stored in a resume database, comprising:
first means for storing the resume database and controlling access thereto; second means, coupled to the first means, for searching the resume database, identifying a resume record stored in the resume database, and instructing the first means to allow access to the identified resume record; and third means, coupled to the first means, for accessing the identified resume record in the resume database via a communications channel. 26-80. (canceled) | A resume database system allows for resume records on the resume database system to be viewed by others via a Uniform Resource Locator, URL. In addition, in response to instructions from an authorized user of the resume database system, input from an unauthorized, but otherwise verified, source can be added to the database by the resume database system. The verified user accesses the resume database and completes any necessary forms via a web browser and submits the information. The authorized user defines the actions that the verified user is allowed to take. These actions include, for example, only being able to review resume information, or being able to add information to the resume database without needing training on the operation of the database. A resume database server system coordinates the activity of the authorized and verified users. Communications between all three users is accomplished via a computer network.1. A computer-implemented method of providing resume information stored in a resume database to a recipient, the method comprising:
(a) identifying the resume information in the resume database; and (b) directing a system management function to send to the recipient a Uniforn Resource Locator, URL, pointing to the identified resume information. 2. The computer implemented method of claim 1, further comprising:
storing information regarding the recipient's accessing of the identified resume information. 3. The computer-implemented method of claim 1, further comprising:
sending a notification after the recipient has accessed the identified resume information. 4. The computer-implemented method of claim 3, wherein:
the notification is sent to an entity other than the recipient. 5. The computer-implemented method of claim 1, wherein the URL comprises at least one of:
(i) a first identifier associated with the identified resume information; and (ii) a second identifier associated with an instance of the URL 6. The computer-implemented method of claim 5, wherein the URL becomes invalid at a predetermined point in time. 7. The computer-implemented method of claim 2, wherein at least one of items (i)-(ii) is used to create a security key specifically identifying the URL. 8. The computer-implemented method of claim 1, wherein the URL comprises:
an indicator for the system management function to accept input from the recipient, wherein the database management function stores the accepted input in association with the identified resume information in the resume database. 9. The computer-implemented method of claim 8, further comprising:
the system management function sends a copy of the accepted input to an entity that directed the system management function to send the URL to the recipient. 10. The computer-implemented method of claim 1, wherein a date and time indicator is associated with the URL, said date and time indicator specifying a date and time at which the URL expires. 11. A method of providing access to a resume database, the method comprising:
under control of a first client system:
sending an access instruction message;
under control of a server system:
receiving the access instruction message from the first client system;
identifying a resume record within the access instruction message;
identifying a destination address within the access instruction message;
creating a Uniform Resource Locator, URL, pointing to the resume record in the resume database; and
transmitting the URL to the destination address. 12. The method of claim 11, wherein the URL comprises at least one of:
(i) a first identifier associated with the resume record; and (ii) a second identifier associated with the creation of the URL. 13. The method of claim 11, wherein the access instruction message comprises at least one of:
(a) an indication of a form to be completed by a user associated with the destination address; (b) a time duration representing a time period during which the URL is valid; and (c) a request for a confirmation message to be sent to the first client system when the URL is transmitted to the destination address. 14. The method of claim 11, wherein the destination address is located at a second client system and the URL is transmitted from the server system to the second client system via a computer network. 15. The method of claim 11, further comprising:
under control of the first client system:
accessing the resume database;
searching the resume database to determine the resume record; and
identifying the determined resume record in the access instruction message. 16. The method of claim 15, further comprising:
under control of the first client system: determining the destination address to which the determined resume record will be directed; and identifying the determined destination address in the access instruction message. 17. The method of claim 11, wherein the destination address is located at a second client system, the method further comprising:
under control of the second client system:
receiving the URL from the server system; and accessing the server system via the URL. 18. The method of claim 17, further comprising:
under control of the server system:
detecting an access to the server system by the second client system via the URL;
determining whether or not the URL is authorized; and
after the URL is determined to be authorized:
identifying a resume record from the URL;
retrieving the resume record from the resume database; and
causing the resume record to be displayed on the second client system. 19. The method of claim 18, wherein the step of determining whether or not the URL is authorized comprises:
under control of the server system: identifying the resume record and a URL identifier in the URL; and comparing a first set comprising the identified resume record and the URL identifier to stored authorized sets; and when the first set matches one of the stored authorized sets, determining that the URL is authorized. 20-24. (canceled) 25. A system for sharing and updating resume information stored in a resume database, comprising:
first means for storing the resume database and controlling access thereto; second means, coupled to the first means, for searching the resume database, identifying a resume record stored in the resume database, and instructing the first means to allow access to the identified resume record; and third means, coupled to the first means, for accessing the identified resume record in the resume database via a communications channel. 26-80. (canceled) | 2,100 |
4,873 | 14,296,170 | 2,138 | A method for migrating data from a first storage array to a second storage array is provided. The method includes configuring the second storage array to forward requests to the first storage array and configuring a network so that second storage array assumes an identity of the first storage array. The method includes receiving a read request at the second storage array for a first data stored within the first storage array and transferring the first data through the second storage array to a client associated with the read request. The method is performed without reconfiguring the client. A system for migrating data is also provided. | 1. A method for migrating data from a first storage array to a second storage array, comprising:
configuring the first storage array to respond to requests from the second storage array; configuring a network so that the second storage array assumes an identity of the first storage array; receiving a read request at the second storage array for a first data stored within the first storage array; and transferring the first data through the second storage array to a client associated with the read request, wherein the method is performed without reconfiguring the client and wherein at least one method operation is executed by a processor. 2. The method of claim 1, further comprising:
copying metadata from the first storage array to the second storage array; initializing the metadata, in the second storage array, as to a copy data on read request from one of clients or a policy; and canceling the copy on read policy for the first data, in the metadata in the second storage array, responsive to one of storing or overwriting the first data in the second storage array. 3. The method of claim 1, further comprising:
storing the first data in the second storage array after receiving the read request. 4. The method of claim 1, wherein a storage capacity of the second storage array is greater than a storage capacity of the first storage array. 5. The method of claim 1, wherein configuring the network, comprises:
assigning the identity of the first storage array to the second storage array; and assigning a new identity to the first storage array. 6. The method of claim 1, wherein transferring the first data through the second storage array comprises:
writing the first data into the second storage array. 7. A method for migrating data, comprising:
coupling a first storage array to a second storage array; configuring the first storage array to forward requests to the second storage array; configuring a network so that the first storage array assumes an identity of the second storage array; receiving a read request at the first storage array for a first data stored within the second storage array; and transferring the first data from the second storage array through the first storage array to a client associated with the read request during a data migration time span, wherein the method is performed without reconfiguring the client and wherein at least one method operation is executed by a processor. 8. The method of claim 7, further comprising:
moving data from the second storage array into the first storage array, during the data migration time span. 9. The method of claim 7, further comprising:
writing the first data into the first storage array; reading the first data from the first storage array, responsive to a second client request for reading the first data; and sending the first data to the second client from the first storage array. 10. The method of claim 7, further comprising:
reading a second data from the first storage array, responsive to a third client request for reading the second data and the second data having been moved from the second storage array into the first storage array; and sending the second data to the third client from the first storage array. 11. The method of claim 7, further comprising:
reading metadata from the second storage array; writing the metadata from the second storage array into the first storage array prior to moving the data from the second storage array; and marking at least a portion of the metadata, in the first storage array, as copy on read, wherein writing the first data into the first storage array is in accordance with the copy on read. 12. The method of claim 7, wherein configuring the network so that the first storage array assumes the identity of the second storage array comprises at least one of a network redirect, reassigning an IP (Internet Protocol) address from the second storage array to the first storage array, reassigning a MAC (media access control) address, reassigning a host name, reassigning a domain name, or re-assigning a NetBIOS name from the second storage array to the first storage array. 13. The method of claim 7, wherein a storage media of the second storage array is different than a first media of the migration storage array. 14. The method of claim 11, further comprising:
updating metadata in the first storage array, responsive to a request to delete data. 15. The method of claim 7, further comprising:
reproducing one of a filesystem, a file share or a directory hierarchy of the second storage array on the first storage array. 16. A system for transparent array migration, comprising:
a first storage memory, having sufficient capacity to store data migrated from a second storage memory; and at least one processor, coupled to the first storage memory, and configured to perform actions including: configuring the first storage memory to forward requests to the second storage memory; configuring a network so that first storage memory assumes an identity of the second storage memory; receiving a read request at the first storage memory for a first data stored within the second storage memory; and transferring the first data through the first storage memory to a client associated with the read request, wherein the actions are performed without reconfiguring the client. 17. The system of claim 16, wherein the first storage memory includes flash memory as at least a majority of a storage capacity of the first storage memory. 18. The system of claim 16, wherein the actions further comprise:
storing a reproduction of one of a filesystem, a file share, or a directory hierarchy of the second storage memory in the first storage memory. 19. The system of claim 16, further comprising:
the first storage memory configured to store metadata, wherein the actions further include: storing a copy of metadata of the second storage memory as the metadata in the first storage memory; and updating the metadata in the first storage memory, responsive to data access in the first storage memory by the client, and responsive to the moving further data. 20. The system of claim 16, further comprising:
a checksum generator, configured to generate a checksum relative to the further data, wherein the checksum is applicable to verification of a data migration from the second storage memory to the first storage memory. | A method for migrating data from a first storage array to a second storage array is provided. The method includes configuring the second storage array to forward requests to the first storage array and configuring a network so that second storage array assumes an identity of the first storage array. The method includes receiving a read request at the second storage array for a first data stored within the first storage array and transferring the first data through the second storage array to a client associated with the read request. The method is performed without reconfiguring the client. A system for migrating data is also provided.1. A method for migrating data from a first storage array to a second storage array, comprising:
configuring the first storage array to respond to requests from the second storage array; configuring a network so that the second storage array assumes an identity of the first storage array; receiving a read request at the second storage array for a first data stored within the first storage array; and transferring the first data through the second storage array to a client associated with the read request, wherein the method is performed without reconfiguring the client and wherein at least one method operation is executed by a processor. 2. The method of claim 1, further comprising:
copying metadata from the first storage array to the second storage array; initializing the metadata, in the second storage array, as to a copy data on read request from one of clients or a policy; and canceling the copy on read policy for the first data, in the metadata in the second storage array, responsive to one of storing or overwriting the first data in the second storage array. 3. The method of claim 1, further comprising:
storing the first data in the second storage array after receiving the read request. 4. The method of claim 1, wherein a storage capacity of the second storage array is greater than a storage capacity of the first storage array. 5. The method of claim 1, wherein configuring the network, comprises:
assigning the identity of the first storage array to the second storage array; and assigning a new identity to the first storage array. 6. The method of claim 1, wherein transferring the first data through the second storage array comprises:
writing the first data into the second storage array. 7. A method for migrating data, comprising:
coupling a first storage array to a second storage array; configuring the first storage array to forward requests to the second storage array; configuring a network so that the first storage array assumes an identity of the second storage array; receiving a read request at the first storage array for a first data stored within the second storage array; and transferring the first data from the second storage array through the first storage array to a client associated with the read request during a data migration time span, wherein the method is performed without reconfiguring the client and wherein at least one method operation is executed by a processor. 8. The method of claim 7, further comprising:
moving data from the second storage array into the first storage array, during the data migration time span. 9. The method of claim 7, further comprising:
writing the first data into the first storage array; reading the first data from the first storage array, responsive to a second client request for reading the first data; and sending the first data to the second client from the first storage array. 10. The method of claim 7, further comprising:
reading a second data from the first storage array, responsive to a third client request for reading the second data and the second data having been moved from the second storage array into the first storage array; and sending the second data to the third client from the first storage array. 11. The method of claim 7, further comprising:
reading metadata from the second storage array; writing the metadata from the second storage array into the first storage array prior to moving the data from the second storage array; and marking at least a portion of the metadata, in the first storage array, as copy on read, wherein writing the first data into the first storage array is in accordance with the copy on read. 12. The method of claim 7, wherein configuring the network so that the first storage array assumes the identity of the second storage array comprises at least one of a network redirect, reassigning an IP (Internet Protocol) address from the second storage array to the first storage array, reassigning a MAC (media access control) address, reassigning a host name, reassigning a domain name, or re-assigning a NetBIOS name from the second storage array to the first storage array. 13. The method of claim 7, wherein a storage media of the second storage array is different than a first media of the migration storage array. 14. The method of claim 11, further comprising:
updating metadata in the first storage array, responsive to a request to delete data. 15. The method of claim 7, further comprising:
reproducing one of a filesystem, a file share or a directory hierarchy of the second storage array on the first storage array. 16. A system for transparent array migration, comprising:
a first storage memory, having sufficient capacity to store data migrated from a second storage memory; and at least one processor, coupled to the first storage memory, and configured to perform actions including: configuring the first storage memory to forward requests to the second storage memory; configuring a network so that first storage memory assumes an identity of the second storage memory; receiving a read request at the first storage memory for a first data stored within the second storage memory; and transferring the first data through the first storage memory to a client associated with the read request, wherein the actions are performed without reconfiguring the client. 17. The system of claim 16, wherein the first storage memory includes flash memory as at least a majority of a storage capacity of the first storage memory. 18. The system of claim 16, wherein the actions further comprise:
storing a reproduction of one of a filesystem, a file share, or a directory hierarchy of the second storage memory in the first storage memory. 19. The system of claim 16, further comprising:
the first storage memory configured to store metadata, wherein the actions further include: storing a copy of metadata of the second storage memory as the metadata in the first storage memory; and updating the metadata in the first storage memory, responsive to data access in the first storage memory by the client, and responsive to the moving further data. 20. The system of claim 16, further comprising:
a checksum generator, configured to generate a checksum relative to the further data, wherein the checksum is applicable to verification of a data migration from the second storage memory to the first storage memory. | 2,100 |
4,874 | 14,498,704 | 2,143 | Generally discussed herein are systems and apparatuses for gesture-based augmented reality. Also discussed herein are methods of using the systems and apparatuses. According to an example a method may include detecting, in image data, an object and a gesture, in response to detecting the object in the image data, providing data indicative of the detected object, in response to detecting the gesture in the image data, providing data indicative of the detected gesture, and modifying the image data using the data indicative of the detected object and the data indicative of the detected gesture. | 1. A device comprising:
a camera module to capture image data; an object recognition module to analyze the image data to recognize an object, and in response to recognizing the object, to provide data indicative of the recognized object; a gesture recognition module to analyze the image data to recognize a gesture, and in response to recognizing the gesture, to provide data indicative of the recognized gesture; and an output device to perform an operation using the data indicative of the recognized object and the data indicative of the recognized gesture. 2. The device of claim 1, wherein:
the object recognition module is further to extract data indicative of one or more fingers from other image data captured by the camera and provide the data indicative of the one or more fingers; and
the device comprises an image rendering module to modify the image data using the data indicative of the recognized object and the data indicative of the recognized gesture, and wherein the image rendering module is further to cause the output device to display a still image including the recognized object with the extracted one or more fingers overlaid on the still image using the data indicative of the one or more fingers. 3. The device of claim 2, wherein the image rendering module is to modify the image data with a list of one or more user-selectable operations, which when selected, cause the image rendering module to modify the image data using a selected operation. 4. The device of claim 2, wherein the image rendering module is to modify the image data by performing a first operation in response to the object recognition module determining the recognized object is a first object, and wherein the image rendering module is to modify the image data by performing a second operation, different from the first operation, in response to the object recognition module determining the recognized object is a second object, different from the first object. 5. The device of claim 2, comprising a context module to determine a social circumstance of the user based on at least one of a location, speed, or direction of the user, one or more people in the image data, one or more objects in the image data, and an application state of an application running on the device; and
wherein the image rendering module is to modify the image by performing a first operation on the image data based on the social circumstance being a first social circumstance and performing a second, different operation on the image data based on the social circumstance being a second social circumstance, different from the first social circumstance. 6. The device of claim 1, wherein the device further comprises an authentication module to receive the data indicative of the recognized gesture to determine whether the recognized gesture satisfies a policy including one or more gestures that must be performed before a user is allowed access to the functionality of the device, and in response to determining the policy has been satisfied, provide data indicating a valid authentication procedure has been performed. 7. The device of claim 1, comprising a microphone and a speech recognition module, wherein the speech recognition module is to translate a sound captured by the microphone and provide data indicative of the translated sound that causes the output device to perform the operation using the translated sound. 8. A method comprising operations performed using a hardware processor, the operations comprising:
detecting, in image data, an object and a gesture; in response to detecting the object in the image data, providing data indicative of the detected object; in response to detecting the gesture in the image data, providing data indicative of the detected gesture; and modifying the image data using the data indicative of the detected object and the data indicative of the detected gesture. 9. The method of claim 8, wherein further comprising:
extracting one or more fingers from other image data and providing data indicative of the extracted one or more fingers; and displaying a still image including the detected object with the extracted one or more fingers overlaid on the still image. 10. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes augmenting the image data with a list of one or more user-selectable operations, which when selected by a user, cause the selected operation to be performed on the image data. 11. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data to include a plurality of targets and the operations further comprise determining whether the detected object virtually touches one or more targets of the plurality of targets in a specified order, and in response to determining the detected object has virtually touched the one or more targets in the specified order, providing data indicative of a valid authentication procedure being performed. 12. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data by performing a first operation in response to detecting a first object and modifying the image data by performing a second, different operation in response to detecting a second, different object. 13. The method of claim 8, further comprising associating a sound captured by a microphone with the recognized object by augmenting the image data with text representing the sound proximate to the detected object. 14. The method of claim 8, further comprising determining a social circumstance of the user based on at least one of a location, speed, or direction of the user, and one or more objects in the image data, and wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data by performing a first operation on the image data in response to determining the social circumstance is a first social circumstance and performing a second, different operation on the image data in response to determining the social circumstance is a second, different social circumstance. 15. At least one machine-readable medium comprising instructions, when performed by a machine, cause the machine to:
detect, in image data, an object and a gesture; in response to detecting the object in the image data, provide data indicative of the detected object; in response to detecting the gesture in the image data, provide data indicative of the detected gesture; and modify the image data using the data indicative of the detected object and the data indicative of the detected gesture. 16. The machine-readable medium of claim 15, further comprising instructions, when performed by the machine, cause the machine to:
extract one or more fingers from other image data and providing data indicative of the extracted one or more fingers; and display a still image including the detected object with the extracted one or more fingers overlaid on the still image. 17. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to augment the image data with a list of one or more user-selectable operations, which when selected by a user, cause a selected operation to be performed on the image data. 18. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to modify the image data to include a plurality of targets and the operations further comprise determining whether the detected object virtually touches one or more targets of the plurality of targets in a specified order, and in response to determining the detected object has virtually touched the one or more targets in the specified order, provide data indicative of a valid authentication procedure being performed. 19. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to modify the image data by performing a first operation in response to detecting a first object and modifying the image data by performing a second operation different from the first operation in response to detecting a second object different from the first object. 20. The machine-readable medium of claim 15, further comprising instructions, when performed by the machine, cause the machine to determine a social circumstance of the user based on at least one of a location, speed, or direction of the user, and one or more objects in the image data, and wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machined, cause the machine to modify the image data by performing a first operation on the image data in response to determining the social circumstance is a first social circumstance and performing a second, different operation on the image data in response to determining the social circumstance is a second, different social circumstance. | Generally discussed herein are systems and apparatuses for gesture-based augmented reality. Also discussed herein are methods of using the systems and apparatuses. According to an example a method may include detecting, in image data, an object and a gesture, in response to detecting the object in the image data, providing data indicative of the detected object, in response to detecting the gesture in the image data, providing data indicative of the detected gesture, and modifying the image data using the data indicative of the detected object and the data indicative of the detected gesture.1. A device comprising:
a camera module to capture image data; an object recognition module to analyze the image data to recognize an object, and in response to recognizing the object, to provide data indicative of the recognized object; a gesture recognition module to analyze the image data to recognize a gesture, and in response to recognizing the gesture, to provide data indicative of the recognized gesture; and an output device to perform an operation using the data indicative of the recognized object and the data indicative of the recognized gesture. 2. The device of claim 1, wherein:
the object recognition module is further to extract data indicative of one or more fingers from other image data captured by the camera and provide the data indicative of the one or more fingers; and
the device comprises an image rendering module to modify the image data using the data indicative of the recognized object and the data indicative of the recognized gesture, and wherein the image rendering module is further to cause the output device to display a still image including the recognized object with the extracted one or more fingers overlaid on the still image using the data indicative of the one or more fingers. 3. The device of claim 2, wherein the image rendering module is to modify the image data with a list of one or more user-selectable operations, which when selected, cause the image rendering module to modify the image data using a selected operation. 4. The device of claim 2, wherein the image rendering module is to modify the image data by performing a first operation in response to the object recognition module determining the recognized object is a first object, and wherein the image rendering module is to modify the image data by performing a second operation, different from the first operation, in response to the object recognition module determining the recognized object is a second object, different from the first object. 5. The device of claim 2, comprising a context module to determine a social circumstance of the user based on at least one of a location, speed, or direction of the user, one or more people in the image data, one or more objects in the image data, and an application state of an application running on the device; and
wherein the image rendering module is to modify the image by performing a first operation on the image data based on the social circumstance being a first social circumstance and performing a second, different operation on the image data based on the social circumstance being a second social circumstance, different from the first social circumstance. 6. The device of claim 1, wherein the device further comprises an authentication module to receive the data indicative of the recognized gesture to determine whether the recognized gesture satisfies a policy including one or more gestures that must be performed before a user is allowed access to the functionality of the device, and in response to determining the policy has been satisfied, provide data indicating a valid authentication procedure has been performed. 7. The device of claim 1, comprising a microphone and a speech recognition module, wherein the speech recognition module is to translate a sound captured by the microphone and provide data indicative of the translated sound that causes the output device to perform the operation using the translated sound. 8. A method comprising operations performed using a hardware processor, the operations comprising:
detecting, in image data, an object and a gesture; in response to detecting the object in the image data, providing data indicative of the detected object; in response to detecting the gesture in the image data, providing data indicative of the detected gesture; and modifying the image data using the data indicative of the detected object and the data indicative of the detected gesture. 9. The method of claim 8, wherein further comprising:
extracting one or more fingers from other image data and providing data indicative of the extracted one or more fingers; and displaying a still image including the detected object with the extracted one or more fingers overlaid on the still image. 10. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes augmenting the image data with a list of one or more user-selectable operations, which when selected by a user, cause the selected operation to be performed on the image data. 11. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data to include a plurality of targets and the operations further comprise determining whether the detected object virtually touches one or more targets of the plurality of targets in a specified order, and in response to determining the detected object has virtually touched the one or more targets in the specified order, providing data indicative of a valid authentication procedure being performed. 12. The method of claim 8, wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data by performing a first operation in response to detecting a first object and modifying the image data by performing a second, different operation in response to detecting a second, different object. 13. The method of claim 8, further comprising associating a sound captured by a microphone with the recognized object by augmenting the image data with text representing the sound proximate to the detected object. 14. The method of claim 8, further comprising determining a social circumstance of the user based on at least one of a location, speed, or direction of the user, and one or more objects in the image data, and wherein modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture includes modifying the image data by performing a first operation on the image data in response to determining the social circumstance is a first social circumstance and performing a second, different operation on the image data in response to determining the social circumstance is a second, different social circumstance. 15. At least one machine-readable medium comprising instructions, when performed by a machine, cause the machine to:
detect, in image data, an object and a gesture; in response to detecting the object in the image data, provide data indicative of the detected object; in response to detecting the gesture in the image data, provide data indicative of the detected gesture; and modify the image data using the data indicative of the detected object and the data indicative of the detected gesture. 16. The machine-readable medium of claim 15, further comprising instructions, when performed by the machine, cause the machine to:
extract one or more fingers from other image data and providing data indicative of the extracted one or more fingers; and display a still image including the detected object with the extracted one or more fingers overlaid on the still image. 17. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to augment the image data with a list of one or more user-selectable operations, which when selected by a user, cause a selected operation to be performed on the image data. 18. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to modify the image data to include a plurality of targets and the operations further comprise determining whether the detected object virtually touches one or more targets of the plurality of targets in a specified order, and in response to determining the detected object has virtually touched the one or more targets in the specified order, provide data indicative of a valid authentication procedure being performed. 19. The machine-readable medium of claim 15, wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machine, cause the machine to modify the image data by performing a first operation in response to detecting a first object and modifying the image data by performing a second operation different from the first operation in response to detecting a second object different from the first object. 20. The machine-readable medium of claim 15, further comprising instructions, when performed by the machine, cause the machine to determine a social circumstance of the user based on at least one of a location, speed, or direction of the user, and one or more objects in the image data, and wherein the instructions for modifying the image data based on the data indicative of the detected object and the data indicative of the detected gesture include instructions, when performed by the machined, cause the machine to modify the image data by performing a first operation on the image data in response to determining the social circumstance is a first social circumstance and performing a second, different operation on the image data in response to determining the social circumstance is a second, different social circumstance. | 2,100 |
4,875 | 15,477,345 | 2,163 | Disclosed are various embodiments for identifying relevant topics for an item from search queries. Search queries are obtained from users to search a collection of user reviews for a specific item. Relevant topics for the specific item are identified by analyzing the queries. A user interface is generated based at least in part on at least some of the relevant topics. | 1. A system, comprising:
at least one computing device; a data store comprising a plurality of search queries related to a collection of user reviews; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least:
identify a plurality of relevant topics from the plurality of search queries associated with a specific item; and
generate a user interface comprising at least one of the plurality of relevant topics. 2. The system of claim 1, wherein, when executed, the at least one application further causes the at least one computing device to at least:
receive the plurality of search queries from a plurality of client devices requesting a search of the collection of user reviews; and store the plurality of search queries in the data store. 3. The system of claim 2, wherein the data store further comprises the collection of user reviews. 4. The system of claim 1, wherein the plurality of relevant topics are identified based at least in part on a frequency of occurrence in the plurality of search queries. 5. The system of claim 1, wherein identifying the plurality of relevant topics comprises decomposing the plurality of search queries into a set of terms. 6. The system of claim 5, wherein the set of terms comprise a set of unigrams. 7. The system of claim 5, wherein the set of terms comprise a set of bigrams. 8. The system of claim 5, wherein identifying the plurality of relevant topics further comprises:
determining a respective frequency of occurrence of individual terms in the set of terms; and ranking the individual terms according to the respective frequency. 9. A method, comprising:
storing, via at least one computing device, a plurality of search queries of a collection of user reviews in a data store; identifying, via the at least one computing device, at least one relevant topic for a specific item based at least in part on the plurality of search queries; and generating, via the at least one computing device, a user interface based at least in part on the at least one relevant topic. 10. The method of claim 9, further comprising receiving the plurality of search queries from a plurality of client devices requesting a search of the collection of user reviews. 11. The method of claim 9, wherein the at least one relevant topic is identified according to a frequency of occurrence of a subset of terms within the plurality of search queries. 12. The method of claim 11, further comprising identifying, via the at least one computing device, one or more synonymous terms of the subset of terms within the plurality of search queries based at least in part on synonym identification data, wherein the frequency of occurrence includes the one or more synonymous terms. 13. The method of claim 11, further comprising ranking, via the at least one computing device, the subset of terms based at least in part on the frequency of occurrence. 14. The method of claim 9, wherein the user interface comprises a corresponding selectable component for individual ones of the at least one relevant topic, and wherein the user interface is configured to present a subset of the collection of user reviews associated with a respective relevant topic in response to selection of the corresponding selectable component. 15. The method of claim 9, wherein the user interface comprises a subset of collection reviews grouped according to the at least one relevant topic. 16. A system, comprising:
at least one computing device; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least:
identify a relevant topic for an item from a plurality of search queries received from a plurality of clients requesting a search of a collection of user reviews; and
generate a user interface comprising a selectable component associated with the relevant topic. 17. The system of claim 16, wherein the user interface is configured to present a subset of the collection of user reviews associated with the relevant topic in response to a selection of the selectable component. 18. The system of claim 16, wherein the user interface comprises one or more groupings of items that are grouped according to the relevant topic. 19. The system of claim 16, further comprising a data store, and wherein, when executed, the at least one application causes the at least one computing device to at least store the plurality of search queries in the data store. 20. The system of claim 16, wherein the relevant topic is one of a plurality of relevant topics identified from the plurality of search queries, the user interface comprises a listing of the plurality of relevant topics for the item, and the listing comprises at least one of: a number of user reviews associated with the respective relevant topic, a rating summary for the respective relevant topic, a description of the respective relevant topic, or a component for viewing the collection of user reviews associated with the respective relevant topic. | Disclosed are various embodiments for identifying relevant topics for an item from search queries. Search queries are obtained from users to search a collection of user reviews for a specific item. Relevant topics for the specific item are identified by analyzing the queries. A user interface is generated based at least in part on at least some of the relevant topics.1. A system, comprising:
at least one computing device; a data store comprising a plurality of search queries related to a collection of user reviews; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least:
identify a plurality of relevant topics from the plurality of search queries associated with a specific item; and
generate a user interface comprising at least one of the plurality of relevant topics. 2. The system of claim 1, wherein, when executed, the at least one application further causes the at least one computing device to at least:
receive the plurality of search queries from a plurality of client devices requesting a search of the collection of user reviews; and store the plurality of search queries in the data store. 3. The system of claim 2, wherein the data store further comprises the collection of user reviews. 4. The system of claim 1, wherein the plurality of relevant topics are identified based at least in part on a frequency of occurrence in the plurality of search queries. 5. The system of claim 1, wherein identifying the plurality of relevant topics comprises decomposing the plurality of search queries into a set of terms. 6. The system of claim 5, wherein the set of terms comprise a set of unigrams. 7. The system of claim 5, wherein the set of terms comprise a set of bigrams. 8. The system of claim 5, wherein identifying the plurality of relevant topics further comprises:
determining a respective frequency of occurrence of individual terms in the set of terms; and ranking the individual terms according to the respective frequency. 9. A method, comprising:
storing, via at least one computing device, a plurality of search queries of a collection of user reviews in a data store; identifying, via the at least one computing device, at least one relevant topic for a specific item based at least in part on the plurality of search queries; and generating, via the at least one computing device, a user interface based at least in part on the at least one relevant topic. 10. The method of claim 9, further comprising receiving the plurality of search queries from a plurality of client devices requesting a search of the collection of user reviews. 11. The method of claim 9, wherein the at least one relevant topic is identified according to a frequency of occurrence of a subset of terms within the plurality of search queries. 12. The method of claim 11, further comprising identifying, via the at least one computing device, one or more synonymous terms of the subset of terms within the plurality of search queries based at least in part on synonym identification data, wherein the frequency of occurrence includes the one or more synonymous terms. 13. The method of claim 11, further comprising ranking, via the at least one computing device, the subset of terms based at least in part on the frequency of occurrence. 14. The method of claim 9, wherein the user interface comprises a corresponding selectable component for individual ones of the at least one relevant topic, and wherein the user interface is configured to present a subset of the collection of user reviews associated with a respective relevant topic in response to selection of the corresponding selectable component. 15. The method of claim 9, wherein the user interface comprises a subset of collection reviews grouped according to the at least one relevant topic. 16. A system, comprising:
at least one computing device; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least:
identify a relevant topic for an item from a plurality of search queries received from a plurality of clients requesting a search of a collection of user reviews; and
generate a user interface comprising a selectable component associated with the relevant topic. 17. The system of claim 16, wherein the user interface is configured to present a subset of the collection of user reviews associated with the relevant topic in response to a selection of the selectable component. 18. The system of claim 16, wherein the user interface comprises one or more groupings of items that are grouped according to the relevant topic. 19. The system of claim 16, further comprising a data store, and wherein, when executed, the at least one application causes the at least one computing device to at least store the plurality of search queries in the data store. 20. The system of claim 16, wherein the relevant topic is one of a plurality of relevant topics identified from the plurality of search queries, the user interface comprises a listing of the plurality of relevant topics for the item, and the listing comprises at least one of: a number of user reviews associated with the respective relevant topic, a rating summary for the respective relevant topic, a description of the respective relevant topic, or a component for viewing the collection of user reviews associated with the respective relevant topic. | 2,100 |
4,876 | 14,064,079 | 2,141 | In one embodiment, a method includes receiving a cover feed interaction history from a device associated with a user of a social-networking system. An order for a plurality of content boards may be determined based on the cover feed interaction history (e.g., viewing history, download status, the current order of content boards in the cover feed, user interaction history, whether the user bookmarked or pinned a particular content board), user information related to the user, and device information about device-based events and device status. Finally, the order for the content boards may be sent to the device. The determination of the order for the content boards may be based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events. | 1. A method comprising:
by the computing device, receiving a cover feed interaction history from a device associated with a user of a social-networking system; by the computing device, determining an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and by the computing device, sending the order for the content boards to the device. 2. The method of claim 1, wherein the cover feed interaction history comprises information regarding: which content boards the user has viewed, which content boards still have content that is waiting for completion of download, what the current order is for the content boards, how long the user viewed a particular content board, whether the user interacted with the content board, whether the user skipped back to bring up a previously-viewed content board, whether the user bookmarked or pinned a particular content board. 3. The method of claim 1, wherein the device information comprises information about device-based events and device status, the information comprising: network connectivity status, power status, or a history log of recent device transactions involving social connections of the user. 4. The method of claim 1, wherein the determining the order for the content boards is based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events. 5. The method of claim 1, wherein the order for the content boards includes one or more new content boards, further comprising:
retrieving content associated with the user; composing new content boards using the retrieved content; and sending the new content boards to the device. 6. The method of claim 5, wherein the retrieving the content associated with the user is based on the cover feed interaction history, the device information or the user information. 7. The method of claim 1, wherein the order for the content boards includes one or more updates to previously-provided content boards, further comprising:
retrieving updates to content associated with the user; composing updates to the previously-provided content boards using the retrieved updates; and sending the updates to the previously-provided content boards to the device. 8. The method of claim 7, wherein the retrieving the updates to the content associated with the user is based on the cover feed interaction history, the device information or the user information. 9. The method of claim 1, further comprising:
receiving an update to the order for the content boards from the device. 10. The method of claim 9, wherein the received update to the content board order is based on one or more factors: which content boards have been completely downloaded and cached on the mobile device; which content boards have background images whose orientation corresponds to the current orientation of the mobile device, which content boards include content associated with a social connection of the user, wherein the mobile device has recently received or sent a communication associated with the social connection, or whether the device's current status is conducive to presentation of a particular content board. 11. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
receive a cover feed interaction history from a device associated with a user of a social-networking system; determine an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and send the order for the content boards to the device. 12. The media of claim 11, wherein the cover feed interaction history comprises information regarding: which content boards the user has viewed, which content boards still have content that is waiting for completion of download, what the current order is for the content boards, how long the user viewed a particular content board, whether the user interacted with the content board, whether the user skipped back to bring up a previously-viewed content board, whether the user bookmarked or pinned a particular content board. 13. The media of claim 11, wherein the device information comprises information about device-based events and device status, the information comprising: network connectivity status, power status, or a history log of recent device transactions involving social connections of the user. 14. The media of claim 11, wherein the determination of the order for the content boards is based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events. 15. The media of claim 11, wherein the order for the content boards includes one or more new content boards, and wherein the software is further operable when executed to:
retrieving content associated with the user; composing new content boards using the retrieved content; and sending the new content boards to the device. 16. The media of claim 15, wherein the retrieval of the content associated with the user is based on the cover feed interaction history, the device information or the user information. 17. A system comprising:
one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
receive a cover feed interaction history from a device associated with a user of a social-networking system;
determine an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and
send the order for the content boards to the device. 18. The system of claim 17, wherein the order for the content boards includes one or more updates to previously-provided content boards, and wherein the processors are further operable when executing the instructions to:
retrieve updates to content associated with the user; compose updates to the previously-provided content boards using the retrieved updates; and send the updates to the previously-provided content boards to the device. 19. The system of claim 17, wherein the retrieving the updates to the content associated with the user is based on the cover feed interaction history, the device information or the user information. 20. The system of claim 17, further comprising:
receiving an update to the order for the content boards from the device, wherein the received update to the content board order is based on one or more factors: which content boards have been completely downloaded and cached on the mobile device; which content boards have background images whose orientation corresponds to the current orientation of the mobile device, which content boards include content associated with a social connection of the user, wherein the mobile device has recently received or sent a communication associated with the social connection, or whether the device's current status is conducive to presentation of a particular content board. | In one embodiment, a method includes receiving a cover feed interaction history from a device associated with a user of a social-networking system. An order for a plurality of content boards may be determined based on the cover feed interaction history (e.g., viewing history, download status, the current order of content boards in the cover feed, user interaction history, whether the user bookmarked or pinned a particular content board), user information related to the user, and device information about device-based events and device status. Finally, the order for the content boards may be sent to the device. The determination of the order for the content boards may be based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events.1. A method comprising:
by the computing device, receiving a cover feed interaction history from a device associated with a user of a social-networking system; by the computing device, determining an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and by the computing device, sending the order for the content boards to the device. 2. The method of claim 1, wherein the cover feed interaction history comprises information regarding: which content boards the user has viewed, which content boards still have content that is waiting for completion of download, what the current order is for the content boards, how long the user viewed a particular content board, whether the user interacted with the content board, whether the user skipped back to bring up a previously-viewed content board, whether the user bookmarked or pinned a particular content board. 3. The method of claim 1, wherein the device information comprises information about device-based events and device status, the information comprising: network connectivity status, power status, or a history log of recent device transactions involving social connections of the user. 4. The method of claim 1, wherein the determining the order for the content boards is based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events. 5. The method of claim 1, wherein the order for the content boards includes one or more new content boards, further comprising:
retrieving content associated with the user; composing new content boards using the retrieved content; and sending the new content boards to the device. 6. The method of claim 5, wherein the retrieving the content associated with the user is based on the cover feed interaction history, the device information or the user information. 7. The method of claim 1, wherein the order for the content boards includes one or more updates to previously-provided content boards, further comprising:
retrieving updates to content associated with the user; composing updates to the previously-provided content boards using the retrieved updates; and sending the updates to the previously-provided content boards to the device. 8. The method of claim 7, wherein the retrieving the updates to the content associated with the user is based on the cover feed interaction history, the device information or the user information. 9. The method of claim 1, further comprising:
receiving an update to the order for the content boards from the device. 10. The method of claim 9, wherein the received update to the content board order is based on one or more factors: which content boards have been completely downloaded and cached on the mobile device; which content boards have background images whose orientation corresponds to the current orientation of the mobile device, which content boards include content associated with a social connection of the user, wherein the mobile device has recently received or sent a communication associated with the social connection, or whether the device's current status is conducive to presentation of a particular content board. 11. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
receive a cover feed interaction history from a device associated with a user of a social-networking system; determine an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and send the order for the content boards to the device. 12. The media of claim 11, wherein the cover feed interaction history comprises information regarding: which content boards the user has viewed, which content boards still have content that is waiting for completion of download, what the current order is for the content boards, how long the user viewed a particular content board, whether the user interacted with the content board, whether the user skipped back to bring up a previously-viewed content board, whether the user bookmarked or pinned a particular content board. 13. The media of claim 11, wherein the device information comprises information about device-based events and device status, the information comprising: network connectivity status, power status, or a history log of recent device transactions involving social connections of the user. 14. The media of claim 11, wherein the determination of the order for the content boards is based on the cover feed interaction history, recency of content included in the content boards, popularity of the content, relevance of content to the user, or device-based events. 15. The media of claim 11, wherein the order for the content boards includes one or more new content boards, and wherein the software is further operable when executed to:
retrieving content associated with the user; composing new content boards using the retrieved content; and sending the new content boards to the device. 16. The media of claim 15, wherein the retrieval of the content associated with the user is based on the cover feed interaction history, the device information or the user information. 17. A system comprising:
one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
receive a cover feed interaction history from a device associated with a user of a social-networking system;
determine an order for a plurality of content boards based on the cover feed interaction history, user information related to the user, and device information related to the device; and
send the order for the content boards to the device. 18. The system of claim 17, wherein the order for the content boards includes one or more updates to previously-provided content boards, and wherein the processors are further operable when executing the instructions to:
retrieve updates to content associated with the user; compose updates to the previously-provided content boards using the retrieved updates; and send the updates to the previously-provided content boards to the device. 19. The system of claim 17, wherein the retrieving the updates to the content associated with the user is based on the cover feed interaction history, the device information or the user information. 20. The system of claim 17, further comprising:
receiving an update to the order for the content boards from the device, wherein the received update to the content board order is based on one or more factors: which content boards have been completely downloaded and cached on the mobile device; which content boards have background images whose orientation corresponds to the current orientation of the mobile device, which content boards include content associated with a social connection of the user, wherein the mobile device has recently received or sent a communication associated with the social connection, or whether the device's current status is conducive to presentation of a particular content board. | 2,100 |
4,877 | 15,391,470 | 2,182 | A processing device is provided that includes a first, second and third precision operation circuit. The processing device further includes a shared, bit-shifting circuit that is communicatively coupled to the first, second and third precision operation circuits. A method is also provided for multiplying a first and second binary number including adding a first exponent value associated with the first binary number to a second exponent value associated with the second binary number and multiplying a first mantissa value associated with the first binary number to a second mantissa value associated with the second binary number. The method includes performing the exponent adding and mantissa multiplying substantially in parallel. The method further includes performing at least one of adding or subtracting a third binary number to the product. Also provided is a computer readable storage device encoded with data for adapting a manufacturing facility to create an apparatus. | 1. (canceled) 2. (canceled) 3. (canceled) 4. (canceled) 5. (canceled) 6. (canceled) 7. (canceled) 8. A method comprising:
multiplying, at a processing device, a first binary number and a second binary number to obtain a product, wherein multiplying comprises adding a first exponent value associated with the first binary number to a second exponent value associated with the second binary number to obtain an exponent sum and multiplying a first mantissa value associated with the first binary number to a second mantissa value associated with the second binary number, and wherein the exponent adding and the mantissa multiplying are performed substantially in parallel; and performing, at the processing device, at least one of adding a third binary number to the product or subtracting the third binary number from the product. 9. The method of claim 8, further comprising:
comparing the exponent sum to a third exponent value associated with the third binary number; and shifting a third mantissa associated with the third binary number based at least in part on the comparison of the third exponent value to the exponent sum. 10. The method of claim 9, further comprising biasing at least one of the first exponent value, second exponent value, third exponent value or the exponent sum, such that shifting is performed by shifting to the right. 11. The method of claim 8, wherein the first, second and third binary numbers conform to at least one of an extended-precision standard, a double-precision standard or a single-precision standard. 12. The method of claim 11, wherein the multiplying and the at least one of adding or subtracting are performed by embedding at least one lower precision operation in at least one higher precision operational datapath. 13. The method of claim 11, wherein performing the exponent adding and the mantissa multiplying substantially in parallel comprises performing the exponent adding and the mantissa multiplying using two parallel, single-precision operations; and
wherein a higher precision datapath and at least one lower precision datapath comprise a shared datapath portion. 14. (canceled) 15. (canceled) 16. (canceled) 17. (canceled) 18. (canceled) 19. (canceled) 20. (canceled) | A processing device is provided that includes a first, second and third precision operation circuit. The processing device further includes a shared, bit-shifting circuit that is communicatively coupled to the first, second and third precision operation circuits. A method is also provided for multiplying a first and second binary number including adding a first exponent value associated with the first binary number to a second exponent value associated with the second binary number and multiplying a first mantissa value associated with the first binary number to a second mantissa value associated with the second binary number. The method includes performing the exponent adding and mantissa multiplying substantially in parallel. The method further includes performing at least one of adding or subtracting a third binary number to the product. Also provided is a computer readable storage device encoded with data for adapting a manufacturing facility to create an apparatus.1. (canceled) 2. (canceled) 3. (canceled) 4. (canceled) 5. (canceled) 6. (canceled) 7. (canceled) 8. A method comprising:
multiplying, at a processing device, a first binary number and a second binary number to obtain a product, wherein multiplying comprises adding a first exponent value associated with the first binary number to a second exponent value associated with the second binary number to obtain an exponent sum and multiplying a first mantissa value associated with the first binary number to a second mantissa value associated with the second binary number, and wherein the exponent adding and the mantissa multiplying are performed substantially in parallel; and performing, at the processing device, at least one of adding a third binary number to the product or subtracting the third binary number from the product. 9. The method of claim 8, further comprising:
comparing the exponent sum to a third exponent value associated with the third binary number; and shifting a third mantissa associated with the third binary number based at least in part on the comparison of the third exponent value to the exponent sum. 10. The method of claim 9, further comprising biasing at least one of the first exponent value, second exponent value, third exponent value or the exponent sum, such that shifting is performed by shifting to the right. 11. The method of claim 8, wherein the first, second and third binary numbers conform to at least one of an extended-precision standard, a double-precision standard or a single-precision standard. 12. The method of claim 11, wherein the multiplying and the at least one of adding or subtracting are performed by embedding at least one lower precision operation in at least one higher precision operational datapath. 13. The method of claim 11, wherein performing the exponent adding and the mantissa multiplying substantially in parallel comprises performing the exponent adding and the mantissa multiplying using two parallel, single-precision operations; and
wherein a higher precision datapath and at least one lower precision datapath comprise a shared datapath portion. 14. (canceled) 15. (canceled) 16. (canceled) 17. (canceled) 18. (canceled) 19. (canceled) 20. (canceled) | 2,100 |
4,878 | 14,292,627 | 2,175 | A system and method for interleaving primary and private messages includes establishing, with a processor, a primary conversation among a primary group of users, receiving a command from at least one of the users to establish a private group including some but not all of the users of the primary group, establishing, with the processor, the private conversation among the private group, and causing a user interface to display the private conversation only to the private group, the private conversation being interleaved on the user interface with the primary conversation. | 1. A method, comprising:
establishing, with a processor, a primary conversation among a primary group of users; receiving a command from at least one of the users to establish a private group including some but not all of the users of the primary group; establishing, with the processor, the private conversation among the private group; and causing a user interface to display the private conversation only to the private group, the private conversation being interleaved on the user interface with the primary conversation. 2. The method of claim 1, wherein the private group further includes at least one user who is not a user of the primary conversation. 3. The method of claim 2, wherein the primary conversation is not viewable by the at least one user of the private group who is not a user of the primary group. 4. The method of claim 1, further comprising ending the private conversation based on receiving a termination command from a user of the private group. 5. The method of claim 1, wherein each of the primary and the private conversations include a plurality of messages, and wherein the primary and private conversations are interleaved by positioning messages from the private conversation between messages of the primary conversation. 6. The method of claim 5, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 7. The method of claim 6, wherein the child message is from the private conversation. 8. The method of claim 1, wherein each of the primary and the private conversations include a plurality of messages, wherein the messages of the private conversation include an indicia of being part of the private conversation. 9. The method of claim 8, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 10. The method of claim 1, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. 11. A system comprising:
a network interface, configured to be coupled to a network, for establishing a primary conversation among a primary group of users; a processor, communicatively coupled to the network interface, configured to:
receive a command from at least one of the users to establish a private group including some but not all of the users of the primary group; and;
establish the private conversation among the private group; and
cause a user interface to display the primary and the private conversations, the private conversation only being visible to the private group and being interleaved with the primary conversation. 12. The system of claim 11, wherein the private group further includes at least one user who is not a user of the primary group. 13. The system of claim 12, wherein processor causes the user interface to not display the primary conversation on the user interface to the at least one user of the private group who is not a user of the primary group. 14. The system of claim 11, wherein the processor is further configured to end the private conversation based on receiving a termination command from a user of the private group. 15. The system of claim 11, wherein each of the primary and the private conversations include a plurality of messages, and wherein the processor is configured cause the user interface to interleave the primary and private conversations by causing the user interface to position messages from the private conversation between messages of the primary conversation. 16. The system of claim 15, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 17. The system of claim 16, wherein the child message is from the private conversation. 18. The system of claim 11, wherein each of the primary and the private conversations include a plurality of messages, wherein the messages of the private conversation include an indicia of being part of the private conversation. 19. The system of claim 18, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 20. The system of claim 11, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. 21. A user device comprising:
a network interface configured to be communicatively coupled to a network; and a user interface configured to:
display a primary conversation among users of a primary group;
receive a command from at least one of the users to establish a private group including some but not all of the users of the primary group; and;
display the private conversation, the private conversation being visible only to the private group and being interleaved with the primary conversation. 22. The user device of claim 21, wherein the private group further includes at least one user who is not a user of the primary group. 23. The user device of claim 22, wherein the user interface does not display the primary conversation on the user interface to the at least one user of the private group who is not a user of the primary group. 24. The user device of claim 21, wherein the user interface is further configured to receive at termination command from a user of the private group to end the private conversation. 25. The user device of claim 21, wherein each of the primary and the private conversations include a plurality of messages, and wherein the user interface interleaves the primary and private conversations by positioning messages from the private conversation between messages of the primary conversation. 26. The user device of claim 25, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 27. The user device of claim 26, wherein the child message is from the private conversation. 28. The user device of claim 21, wherein each of the primary and the private conversations include a plurality of messages, wherein the user interface displays messages of the private conversation including an indicia of being part of the private conversation. 29. The user device of claim 28, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 30. The user device of claim 21, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. | A system and method for interleaving primary and private messages includes establishing, with a processor, a primary conversation among a primary group of users, receiving a command from at least one of the users to establish a private group including some but not all of the users of the primary group, establishing, with the processor, the private conversation among the private group, and causing a user interface to display the private conversation only to the private group, the private conversation being interleaved on the user interface with the primary conversation.1. A method, comprising:
establishing, with a processor, a primary conversation among a primary group of users; receiving a command from at least one of the users to establish a private group including some but not all of the users of the primary group; establishing, with the processor, the private conversation among the private group; and causing a user interface to display the private conversation only to the private group, the private conversation being interleaved on the user interface with the primary conversation. 2. The method of claim 1, wherein the private group further includes at least one user who is not a user of the primary conversation. 3. The method of claim 2, wherein the primary conversation is not viewable by the at least one user of the private group who is not a user of the primary group. 4. The method of claim 1, further comprising ending the private conversation based on receiving a termination command from a user of the private group. 5. The method of claim 1, wherein each of the primary and the private conversations include a plurality of messages, and wherein the primary and private conversations are interleaved by positioning messages from the private conversation between messages of the primary conversation. 6. The method of claim 5, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 7. The method of claim 6, wherein the child message is from the private conversation. 8. The method of claim 1, wherein each of the primary and the private conversations include a plurality of messages, wherein the messages of the private conversation include an indicia of being part of the private conversation. 9. The method of claim 8, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 10. The method of claim 1, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. 11. A system comprising:
a network interface, configured to be coupled to a network, for establishing a primary conversation among a primary group of users; a processor, communicatively coupled to the network interface, configured to:
receive a command from at least one of the users to establish a private group including some but not all of the users of the primary group; and;
establish the private conversation among the private group; and
cause a user interface to display the primary and the private conversations, the private conversation only being visible to the private group and being interleaved with the primary conversation. 12. The system of claim 11, wherein the private group further includes at least one user who is not a user of the primary group. 13. The system of claim 12, wherein processor causes the user interface to not display the primary conversation on the user interface to the at least one user of the private group who is not a user of the primary group. 14. The system of claim 11, wherein the processor is further configured to end the private conversation based on receiving a termination command from a user of the private group. 15. The system of claim 11, wherein each of the primary and the private conversations include a plurality of messages, and wherein the processor is configured cause the user interface to interleave the primary and private conversations by causing the user interface to position messages from the private conversation between messages of the primary conversation. 16. The system of claim 15, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 17. The system of claim 16, wherein the child message is from the private conversation. 18. The system of claim 11, wherein each of the primary and the private conversations include a plurality of messages, wherein the messages of the private conversation include an indicia of being part of the private conversation. 19. The system of claim 18, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 20. The system of claim 11, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. 21. A user device comprising:
a network interface configured to be communicatively coupled to a network; and a user interface configured to:
display a primary conversation among users of a primary group;
receive a command from at least one of the users to establish a private group including some but not all of the users of the primary group; and;
display the private conversation, the private conversation being visible only to the private group and being interleaved with the primary conversation. 22. The user device of claim 21, wherein the private group further includes at least one user who is not a user of the primary group. 23. The user device of claim 22, wherein the user interface does not display the primary conversation on the user interface to the at least one user of the private group who is not a user of the primary group. 24. The user device of claim 21, wherein the user interface is further configured to receive at termination command from a user of the private group to end the private conversation. 25. The user device of claim 21, wherein each of the primary and the private conversations include a plurality of messages, and wherein the user interface interleaves the primary and private conversations by positioning messages from the private conversation between messages of the primary conversation. 26. The user device of claim 25, wherein a parent message of the primary conversation includes at least one child message from at least one of the primary conversation and the private conversation, the child message being positioned with respect to the parent message. 27. The user device of claim 26, wherein the child message is from the private conversation. 28. The user device of claim 21, wherein each of the primary and the private conversations include a plurality of messages, wherein the user interface displays messages of the private conversation including an indicia of being part of the private conversation. 29. The user device of claim 28, wherein the indicia includes at least one of a text, an icon, an indentation relative to the messages of the primary conversation, a font, and a color. 30. The user device of claim 21, wherein the command includes a selection of individual users of the primary group for inclusion in the private group. | 2,100 |
4,879 | 14,286,651 | 2,174 | Embodiments presented herein provide techniques for generating a collage of multimedia (e.g., visual and auditory media) based on data associated with a user. The collage may be used as an audio/visual messaging sharing vehicle. A platform engine receives user profile information and a selection of a performance mode from a client device. The platform engine generates a set of calls for user action prompts (e.g., questions or other requests for input) based on the selected performance mode and user information. The platform engine sends the set of prompts to the client device, and upon receiving responses to the prompts from the client device, the platform engine correlates the responses and the user profile information with media items in the media library. Based on the correlation, the platform engine generates the multimedia collage and sends the collage to the client device. | 1. A method for generating media based on input received from a client device, comprising:
receiving user profile information and a selection of a performance mode from a client device; generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store; sending the one or more prompts to the client device; receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store; correlating the responses and the profile information with statistical data obtained from a second data store and the plurality of media items; and generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 2. The method of claim 1, further comprising, sending the collage of multimedia to the client device. 3. The method of claim 1, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 4. The method of claim 1, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 5. The method of claim 1, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 6. The method of claim 1, wherein the user profile information includes account settings, user-provided media items, and usage history. 7. The method of claim 1, further comprising, storing the generated multimedia collage in a third data store. 8. A non-transitory computer-readable storage medium storing instructions, which, when executed on a processor, performs an operation for generating media based on input received from a client device, the operation comprising:
receiving user profile information and a selection of a performance mode from a client device; generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store; sending the one or more prompts to the client device; receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store; correlating the responses and the profile information with statistical data stored in a second data store and the plurality of media items; and generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 9. The computer-readable storage medium of claim 8, wherein the operation further comprises, sending the collage of multimedia to the client device. 10. The computer-readable storage medium of claim 8, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 11. The computer-readable storage medium of claim 8, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 12. The computer-readable storage medium of claim 8, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 13. The computer-readable storage medium of claim 8, wherein the user profile information includes account settings, user-provided media items, and usage history. 14. The computer-readable storage medium of claim 8, wherein the operation further comprises, storing the generated multimedia collage in a third data store. 15. A system, comprising:
a processor and a memory hosting an application, which, when executed on the processor, performs an operation for generating media based on input received from a client device, the operation comprising:
receiving user profile information and a selection of a performance mode from a client device;
generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store;
sending the one or more prompts to the client device;
receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store;
correlating the responses and the profile information with statistical data stored in a second data store and the plurality of media items; and
generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 16. The system of claim 15, wherein the operation further comprises, sending the collage of multimedia to the client device. 17. The system of claim 15, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 18. The system of claim 15, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 19. The system of claim 15, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 20. The system of claim 15, wherein the user profile information includes account settings, user-provided media items, and usage history. | Embodiments presented herein provide techniques for generating a collage of multimedia (e.g., visual and auditory media) based on data associated with a user. The collage may be used as an audio/visual messaging sharing vehicle. A platform engine receives user profile information and a selection of a performance mode from a client device. The platform engine generates a set of calls for user action prompts (e.g., questions or other requests for input) based on the selected performance mode and user information. The platform engine sends the set of prompts to the client device, and upon receiving responses to the prompts from the client device, the platform engine correlates the responses and the user profile information with media items in the media library. Based on the correlation, the platform engine generates the multimedia collage and sends the collage to the client device.1. A method for generating media based on input received from a client device, comprising:
receiving user profile information and a selection of a performance mode from a client device; generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store; sending the one or more prompts to the client device; receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store; correlating the responses and the profile information with statistical data obtained from a second data store and the plurality of media items; and generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 2. The method of claim 1, further comprising, sending the collage of multimedia to the client device. 3. The method of claim 1, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 4. The method of claim 1, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 5. The method of claim 1, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 6. The method of claim 1, wherein the user profile information includes account settings, user-provided media items, and usage history. 7. The method of claim 1, further comprising, storing the generated multimedia collage in a third data store. 8. A non-transitory computer-readable storage medium storing instructions, which, when executed on a processor, performs an operation for generating media based on input received from a client device, the operation comprising:
receiving user profile information and a selection of a performance mode from a client device; generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store; sending the one or more prompts to the client device; receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store; correlating the responses and the profile information with statistical data stored in a second data store and the plurality of media items; and generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 9. The computer-readable storage medium of claim 8, wherein the operation further comprises, sending the collage of multimedia to the client device. 10. The computer-readable storage medium of claim 8, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 11. The computer-readable storage medium of claim 8, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 12. The computer-readable storage medium of claim 8, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 13. The computer-readable storage medium of claim 8, wherein the user profile information includes account settings, user-provided media items, and usage history. 14. The computer-readable storage medium of claim 8, wherein the operation further comprises, storing the generated multimedia collage in a third data store. 15. A system, comprising:
a processor and a memory hosting an application, which, when executed on the processor, performs an operation for generating media based on input received from a client device, the operation comprising:
receiving user profile information and a selection of a performance mode from a client device;
generating one or more prompts based on the selected performance mode and on the user profile information, wherein each of the one or more prompts corresponds to one of a plurality of media items stored in a data store, and wherein the media item is one of an image, a sound, a video, or text stored in a first data store;
sending the one or more prompts to the client device;
receiving responses to each of the one or more prompts from the client device, wherein each of the responses correspond to one or more of the media items stored in the first data store;
correlating the responses and the profile information with statistical data stored in a second data store and the plurality of media items; and
generating a collage of multimedia based on the correlated responses, profile information, and media items, wherein the collage of multimedia includes at least one of the media items. 16. The system of claim 15, wherein the operation further comprises, sending the collage of multimedia to the client device. 17. The system of claim 15, wherein the generated one or more prompts is further based on prompts provided by at least one third-party advertiser. 18. The system of claim 15, wherein the performance mode is one of a game mode, a private mode, a companion mode, a global mode, a replay mode, a message mode, a friend mode, a live mode, a celebrity mode, and a predictive mode. 19. The system of claim 15, wherein each of the media items include metadata associating the media items with individual properties, descriptions, and moods. 20. The system of claim 15, wherein the user profile information includes account settings, user-provided media items, and usage history. | 2,100 |
4,880 | 13,444,702 | 2,144 | An observation program including: receiving content which includes at least one term; observing the content to detect the at least one term; removing the detected at least one term from the content; replacing the removed at least one term by inserting a hyperlink relating to each term of the at least one term, and by applying replacement rules to the content; and providing the observed content including the hyperlink to a client device for presentation to a recipient of the content. | 1. A non-transitory computer-readable medium storing an observation program comprising executable instructions that cause a processor to:
receive content which includes at least one term; observe the content to detect the at least one term; remove the detected at least one term from the content; replace the removed at least one term by inserting a hyperlink relating to each term of the at least one term, and by applying replacement rules to the content; and provide the observed content including the hyperlink to a client device for presentation to a recipient of the content. 2. The non-transitory computer-readable medium of claim 1, wherein the processor replaces the at least one term using an automatically generated designator string which includes a user identification associated with the recipient of the content. 3. The non-transitory computer-readable medium of claim 1, wherein the automatically generated designator string also includes information unique to content of the hyperlink that is to replace the at least one term. 4. The non-transitory computer-readable medium of claim 1, wherein the processor is configured to activate the replacement rules based on content preferences associated with the recipient. 5. The non-transitory computer-readable medium of claim 1, wherein the processor resides within a set top device. 6. The non-transitory computer-readable medium of claim 1, wherein the content is a document. 7. The non-transitory computer-readable medium of claim 1, wherein the content is a web page. 8. A method of replacing content, the method comprising:
receiving the content which includes at least one term; observing the content to detect the at least one term; generating a designator string in response to the detected at least one term; removing the detected at least one term from the content; replacing the removed at least one term by inserting the generated designator string, wherein observing, generating, removing, and replacing include applying replacement rules to the content; providing the observed content including the inserted designator string; and using the designator string to provide a hyperlink for presentation. 9. The method of claim 8, wherein removing and replacing the detected at least one term by inserting the generated designator string includes determining an identification associated with a recipient of the content. 10. The method of claim 8, wherein replacing the at least one term with the generated designator string includes using an automatically generated designator string unique to the content of the hyperlink. 11. The method of claim 8, wherein replacing the at least one term with the generated designator string includes using automatically generated designator strings unique to content of the at least one term. 12. The method of claim 8, wherein the content includes a document. 13. The method of claim 8, wherein the content includes a web site. 14. A non-transitory tangible storage medium storing an observation program comprising executable instructions that cause a processor to:
receive content which includes at least one term; generate a replacement rule based on a user preference, the replacement rule comprising a term to be replaced and a hyperlink relating to said term to be replaced; identify each instance of said term to be replaced in the at least one term of the received content; and replace said each instance of said term to be replaced with the hyperlink according to the replacement rule. 15. The non-transitory tangible storage medium of claim 14, wherein the content is a document. 16. The non-transitory tangible storage medium of claim 14, wherein the content is a web page. | An observation program including: receiving content which includes at least one term; observing the content to detect the at least one term; removing the detected at least one term from the content; replacing the removed at least one term by inserting a hyperlink relating to each term of the at least one term, and by applying replacement rules to the content; and providing the observed content including the hyperlink to a client device for presentation to a recipient of the content.1. A non-transitory computer-readable medium storing an observation program comprising executable instructions that cause a processor to:
receive content which includes at least one term; observe the content to detect the at least one term; remove the detected at least one term from the content; replace the removed at least one term by inserting a hyperlink relating to each term of the at least one term, and by applying replacement rules to the content; and provide the observed content including the hyperlink to a client device for presentation to a recipient of the content. 2. The non-transitory computer-readable medium of claim 1, wherein the processor replaces the at least one term using an automatically generated designator string which includes a user identification associated with the recipient of the content. 3. The non-transitory computer-readable medium of claim 1, wherein the automatically generated designator string also includes information unique to content of the hyperlink that is to replace the at least one term. 4. The non-transitory computer-readable medium of claim 1, wherein the processor is configured to activate the replacement rules based on content preferences associated with the recipient. 5. The non-transitory computer-readable medium of claim 1, wherein the processor resides within a set top device. 6. The non-transitory computer-readable medium of claim 1, wherein the content is a document. 7. The non-transitory computer-readable medium of claim 1, wherein the content is a web page. 8. A method of replacing content, the method comprising:
receiving the content which includes at least one term; observing the content to detect the at least one term; generating a designator string in response to the detected at least one term; removing the detected at least one term from the content; replacing the removed at least one term by inserting the generated designator string, wherein observing, generating, removing, and replacing include applying replacement rules to the content; providing the observed content including the inserted designator string; and using the designator string to provide a hyperlink for presentation. 9. The method of claim 8, wherein removing and replacing the detected at least one term by inserting the generated designator string includes determining an identification associated with a recipient of the content. 10. The method of claim 8, wherein replacing the at least one term with the generated designator string includes using an automatically generated designator string unique to the content of the hyperlink. 11. The method of claim 8, wherein replacing the at least one term with the generated designator string includes using automatically generated designator strings unique to content of the at least one term. 12. The method of claim 8, wherein the content includes a document. 13. The method of claim 8, wherein the content includes a web site. 14. A non-transitory tangible storage medium storing an observation program comprising executable instructions that cause a processor to:
receive content which includes at least one term; generate a replacement rule based on a user preference, the replacement rule comprising a term to be replaced and a hyperlink relating to said term to be replaced; identify each instance of said term to be replaced in the at least one term of the received content; and replace said each instance of said term to be replaced with the hyperlink according to the replacement rule. 15. The non-transitory tangible storage medium of claim 14, wherein the content is a document. 16. The non-transitory tangible storage medium of claim 14, wherein the content is a web page. | 2,100 |
4,881 | 12,340,427 | 2,117 | A control system for controlling at least one irrigation station in an irrigation system in accordance with an embodiment of the present application includes a moisture probe operable to gather moisture information regarding moisture present in soil at the irrigation station and to periodically transmit the moisture information wirelessly and a controller operable to receive the moisture information and operable to provide control signals to control the irrigation station based on the moisture information to maintain a desired moisture level at the water station. | 1. A control system for controlling at least one irrigation station in an irrigation system comprising:
a moisture probe operable to gather moisture information regarding moisture present in soil at the irrigation station and to periodically transmit the moisture information wirelessly; and a controller operable to receive the moisture information and operable to provide control signals to control the irrigation station based on the moisture information to maintain a desired moisture level at the water station. 2. The control system of claim 1, wherein the moisture probe further comprises:
at least one electrode structured for insertion into the soil to a predetermined depth; measurement circuitry connected to the electrode and operable to provide a measurement signal indicative of a moisture level in the soil; a transceiver operable to periodically transmit the measurement signal as the moisture information. 3. The control system of claim 2, wherein the measurement signal is based on a capacitive impedance of the at least one electrode. 4. The control system of claim 3, wherein the controller utilizes the moisture information to determine a precipitation rate provided at the irrigation station. 5. The control system of claim 4, wherein the controller utilizes the moisture information to determine an evaporation and transpiration loss rate for the irrigation station. 6. The control system of claim 5, wherein the precipitation rate and evaporation and transpiration loss rate are utilized by the controller to modify a run time for a sprinkler of the irrigation station required to maintain the desired moisture level at the irrigation station. 7. The control system of claim 6, wherein the desired moisture level is based on moisture information provided by the moisture probe after a predetermined period of time has passed after the sprinkler of the irrigation zone has been activated for watering. 8. The control system of claim 7, wherein the predetermined period of time is set such that water soaks into the soil after watering. 9. The control system of claim 8, wherein the controller further comprises a mode switch operable to select a mode of operation for the controller. 10. The control system of claim 9, wherein a bypass mode is selectable using the mode switch to bypass the moisture information provided by the moisture probe. 11. The control system of claim 10, wherein a weather mode is selectable using the mode switch to utilize weather information to modify run times of a sprinkler in the irrigation zone. 12. The control system of claim 11, wherein the controller further comprises a display device operable to display information to the user. 13. The control system of claim 12, wherein the display shows the moisture information provided by the moisture probe to the user. 14. The control system of claim 13, further comprising an input device operable to enter selection information used to control the irrigation zone. 15. A method of controlling an irrigation zone of an irrigation system comprising:
providing a moisture probe; gathering moisture information regarding a moisture level of the soil around the moisture probe periodically transmitting the moisture information wirelessly; receiving the moisture information at a controller; and providing control signals from the controller to the irrigation zone to control a sprinkler thereof based on the moisture information. 16. The method of claim 15, wherein the control signals set an on time for the sprinkler based on the moisture information to maintain a desired moisture percentage in the soil at the moisture probe. 17. The method of claim 16, wherein the step of providing control signals further comprises:
receiving first moisture information prior to watering; controlling the sprinkler to water in the irrigation zone; receiving second moisture information after watering; determining a precipitation rate of the sprinkler based on the difference between the first moisture information and the second moisture information. 18. The method of claim 17, wherein the step of providing control signals further comprises:
receiving first loss moisture information after watering; waiting a predetermined period of time; receiving second loss moisture information after the predetermined period of time; determining an evaporation and transpiration loss rate at the irrigation zone based on the first loss moisture information, predetermined time and the second loss moisture information. 19. The method of claim 18, wherein an on time of the sprinkler indicated by the control signals is set based on the precipitation rate and the evaporation and transpiration loss rate. 20. The method of claim 19, further comprising displaying the moisture information on a display device of the controller. | A control system for controlling at least one irrigation station in an irrigation system in accordance with an embodiment of the present application includes a moisture probe operable to gather moisture information regarding moisture present in soil at the irrigation station and to periodically transmit the moisture information wirelessly and a controller operable to receive the moisture information and operable to provide control signals to control the irrigation station based on the moisture information to maintain a desired moisture level at the water station.1. A control system for controlling at least one irrigation station in an irrigation system comprising:
a moisture probe operable to gather moisture information regarding moisture present in soil at the irrigation station and to periodically transmit the moisture information wirelessly; and a controller operable to receive the moisture information and operable to provide control signals to control the irrigation station based on the moisture information to maintain a desired moisture level at the water station. 2. The control system of claim 1, wherein the moisture probe further comprises:
at least one electrode structured for insertion into the soil to a predetermined depth; measurement circuitry connected to the electrode and operable to provide a measurement signal indicative of a moisture level in the soil; a transceiver operable to periodically transmit the measurement signal as the moisture information. 3. The control system of claim 2, wherein the measurement signal is based on a capacitive impedance of the at least one electrode. 4. The control system of claim 3, wherein the controller utilizes the moisture information to determine a precipitation rate provided at the irrigation station. 5. The control system of claim 4, wherein the controller utilizes the moisture information to determine an evaporation and transpiration loss rate for the irrigation station. 6. The control system of claim 5, wherein the precipitation rate and evaporation and transpiration loss rate are utilized by the controller to modify a run time for a sprinkler of the irrigation station required to maintain the desired moisture level at the irrigation station. 7. The control system of claim 6, wherein the desired moisture level is based on moisture information provided by the moisture probe after a predetermined period of time has passed after the sprinkler of the irrigation zone has been activated for watering. 8. The control system of claim 7, wherein the predetermined period of time is set such that water soaks into the soil after watering. 9. The control system of claim 8, wherein the controller further comprises a mode switch operable to select a mode of operation for the controller. 10. The control system of claim 9, wherein a bypass mode is selectable using the mode switch to bypass the moisture information provided by the moisture probe. 11. The control system of claim 10, wherein a weather mode is selectable using the mode switch to utilize weather information to modify run times of a sprinkler in the irrigation zone. 12. The control system of claim 11, wherein the controller further comprises a display device operable to display information to the user. 13. The control system of claim 12, wherein the display shows the moisture information provided by the moisture probe to the user. 14. The control system of claim 13, further comprising an input device operable to enter selection information used to control the irrigation zone. 15. A method of controlling an irrigation zone of an irrigation system comprising:
providing a moisture probe; gathering moisture information regarding a moisture level of the soil around the moisture probe periodically transmitting the moisture information wirelessly; receiving the moisture information at a controller; and providing control signals from the controller to the irrigation zone to control a sprinkler thereof based on the moisture information. 16. The method of claim 15, wherein the control signals set an on time for the sprinkler based on the moisture information to maintain a desired moisture percentage in the soil at the moisture probe. 17. The method of claim 16, wherein the step of providing control signals further comprises:
receiving first moisture information prior to watering; controlling the sprinkler to water in the irrigation zone; receiving second moisture information after watering; determining a precipitation rate of the sprinkler based on the difference between the first moisture information and the second moisture information. 18. The method of claim 17, wherein the step of providing control signals further comprises:
receiving first loss moisture information after watering; waiting a predetermined period of time; receiving second loss moisture information after the predetermined period of time; determining an evaporation and transpiration loss rate at the irrigation zone based on the first loss moisture information, predetermined time and the second loss moisture information. 19. The method of claim 18, wherein an on time of the sprinkler indicated by the control signals is set based on the precipitation rate and the evaporation and transpiration loss rate. 20. The method of claim 19, further comprising displaying the moisture information on a display device of the controller. | 2,100 |
4,882 | 12,566,673 | 2,174 | A method is performed by an electronic device with a display and a touch-sensitive surface. The method includes: displaying a progress icon that indicates a current position within a first piece of content; displaying a multi-purpose content navigation icon; while providing the first piece of content: detecting a first contact at a first location that corresponds to the multi-purpose content navigation icon; while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate; and, in response to detecting movement of the contact that includes a first component of movement in a direction that corresponds to movement on the display parallel to the first predefined direction, moving the current position within the first piece of content at a variable scrubbing rate that varies monotonically as the first component of movement increases. | 1. A method, comprising:
at an electronic device with a display and a touch-sensitive surface:
displaying a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display;
providing a first piece of content with the electronic device;
indicating a current position within the first piece of content with the progress icon;
displaying a multi-purpose content navigation icon; and,
while providing the first piece of content with the electronic device:
detecting a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate;
detecting movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and,
in response to detecting the movement of the contact, moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 2. The method of claim 1, wherein the progress icon is a thumb icon in a scroll bar. 3. The method of claim 1, wherein the progress icon is an end of a bar. 4. The method of claim 1, wherein the first predefined direction is a horizontal direction on the display. 5. The method of claim 1, wherein the first predefined direction is a vertical direction on the display. 6. The method of claim 1, further comprising, while providing the first piece of content:
detecting a second contact on the touch-sensitive surface at the first location; detecting a release of the second contact before the predetermined time period has elapsed; and in response to detecting the release of the second contact, moving the current position in the first piece of content by a predetermined amount. 7. The method of claim 1, further comprising:
while providing the first piece of content:
detecting a third contact on the touch-sensitive surface at the first location; and
detecting a release of the third contact before the predetermined time period has elapsed; and
in response to detecting the release of the third contact, providing a second piece of content. 8. The method of claim 1, wherein the first piece of content has a beginning and an end, and the variable scrubbing rate moves the current position towards the beginning of the first piece of content. 9. The method of claim 1, wherein the first piece of content has a beginning and an end, and the variable scrubbing rate moves the current position towards the end of the first piece of content. 10. The method of claim 1, further including, while moving the current position within the first piece of content at a variable scrubbing rate, displaying a visual indicator of the variable scrubbing rate. 11. The method of claim 1, wherein:
when the first component of movement is in a direction that corresponds to a direction towards a first side of the device, the variable scrubbing rate is greater than the predefined scrubbing rate; and when the first component of movement is in a direction that corresponds to a direction towards a second side of the device that is opposite the first side of the device, the variable scrubbing rate is less than the predefined scrubbing rate. 12. The method of claim 1, wherein:
when the first component of movement is in a direction that corresponds to a direction towards a first side of the device, the variable scrubbing rate is greater than the predefined scrubbing rate, wherein the predefined scrubbing rate moves the current position in the content towards a first end of the content; and when the first component of movement is in a direction that corresponds to a direction towards a second side of the device that is opposite the first side of the device, the variable scrubbing rate moves the current position towards a second end of the content that is opposite the first end of the content. 13. The method of claim 1, wherein the first piece of content is a chapter in a book, a song in a play list, a scene in a movie, or a book-marked section in a podcast. 14. A graphical user interface on an electronic device with a display and a touch-sensitive surface, comprising:
a progress icon configured to move in a first predefined direction in a first predefined area on the display; a multi-purpose content navigation icon; wherein:
a first piece of content is provided with the electronic device;
a current position within the first piece of content is indicated with the progress icon; and,
while providing the first piece of content with the electronic device:
a first contact with the touch-sensitive surface is detected at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, the current position within the first piece of content is moved at a predefined scrubbing rate;
movement of the contact is detected, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and,
in response to detection of the movement of the contact the current position within the first piece of content is moved at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 15. An electronic device, comprising:
a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display; providing a first piece of content with the electronic device; indicating a current position within the first piece of content with the progress icon; displaying a multi-purpose content navigation icon; and, while providing the first piece of content with the electronic device:
detecting a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate;
detecting movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and
responding to detecting the movement of the contact by moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 16. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a display and a touch-sensitive surface, cause the device to:
display a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display; provide a first piece of content with the electronic device; indicate a current position within the first piece of content with the progress icon; display a multi-purpose content navigation icon; and, while providing the first piece of content with the electronic device:
detect a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, move the current position within the first piece of content at a predefined scrubbing rate;
detect movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and
respond to detecting the movement of the contact by moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. | A method is performed by an electronic device with a display and a touch-sensitive surface. The method includes: displaying a progress icon that indicates a current position within a first piece of content; displaying a multi-purpose content navigation icon; while providing the first piece of content: detecting a first contact at a first location that corresponds to the multi-purpose content navigation icon; while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate; and, in response to detecting movement of the contact that includes a first component of movement in a direction that corresponds to movement on the display parallel to the first predefined direction, moving the current position within the first piece of content at a variable scrubbing rate that varies monotonically as the first component of movement increases.1. A method, comprising:
at an electronic device with a display and a touch-sensitive surface:
displaying a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display;
providing a first piece of content with the electronic device;
indicating a current position within the first piece of content with the progress icon;
displaying a multi-purpose content navigation icon; and,
while providing the first piece of content with the electronic device:
detecting a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate;
detecting movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and,
in response to detecting the movement of the contact, moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 2. The method of claim 1, wherein the progress icon is a thumb icon in a scroll bar. 3. The method of claim 1, wherein the progress icon is an end of a bar. 4. The method of claim 1, wherein the first predefined direction is a horizontal direction on the display. 5. The method of claim 1, wherein the first predefined direction is a vertical direction on the display. 6. The method of claim 1, further comprising, while providing the first piece of content:
detecting a second contact on the touch-sensitive surface at the first location; detecting a release of the second contact before the predetermined time period has elapsed; and in response to detecting the release of the second contact, moving the current position in the first piece of content by a predetermined amount. 7. The method of claim 1, further comprising:
while providing the first piece of content:
detecting a third contact on the touch-sensitive surface at the first location; and
detecting a release of the third contact before the predetermined time period has elapsed; and
in response to detecting the release of the third contact, providing a second piece of content. 8. The method of claim 1, wherein the first piece of content has a beginning and an end, and the variable scrubbing rate moves the current position towards the beginning of the first piece of content. 9. The method of claim 1, wherein the first piece of content has a beginning and an end, and the variable scrubbing rate moves the current position towards the end of the first piece of content. 10. The method of claim 1, further including, while moving the current position within the first piece of content at a variable scrubbing rate, displaying a visual indicator of the variable scrubbing rate. 11. The method of claim 1, wherein:
when the first component of movement is in a direction that corresponds to a direction towards a first side of the device, the variable scrubbing rate is greater than the predefined scrubbing rate; and when the first component of movement is in a direction that corresponds to a direction towards a second side of the device that is opposite the first side of the device, the variable scrubbing rate is less than the predefined scrubbing rate. 12. The method of claim 1, wherein:
when the first component of movement is in a direction that corresponds to a direction towards a first side of the device, the variable scrubbing rate is greater than the predefined scrubbing rate, wherein the predefined scrubbing rate moves the current position in the content towards a first end of the content; and when the first component of movement is in a direction that corresponds to a direction towards a second side of the device that is opposite the first side of the device, the variable scrubbing rate moves the current position towards a second end of the content that is opposite the first end of the content. 13. The method of claim 1, wherein the first piece of content is a chapter in a book, a song in a play list, a scene in a movie, or a book-marked section in a podcast. 14. A graphical user interface on an electronic device with a display and a touch-sensitive surface, comprising:
a progress icon configured to move in a first predefined direction in a first predefined area on the display; a multi-purpose content navigation icon; wherein:
a first piece of content is provided with the electronic device;
a current position within the first piece of content is indicated with the progress icon; and,
while providing the first piece of content with the electronic device:
a first contact with the touch-sensitive surface is detected at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, the current position within the first piece of content is moved at a predefined scrubbing rate;
movement of the contact is detected, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and,
in response to detection of the movement of the contact the current position within the first piece of content is moved at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 15. An electronic device, comprising:
a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display; providing a first piece of content with the electronic device; indicating a current position within the first piece of content with the progress icon; displaying a multi-purpose content navigation icon; and, while providing the first piece of content with the electronic device:
detecting a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, moving the current position within the first piece of content at a predefined scrubbing rate;
detecting movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and
responding to detecting the movement of the contact by moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. 16. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a display and a touch-sensitive surface, cause the device to:
display a progress icon in a predefined area on the display, wherein the progress icon is configured to move in a first predefined direction on the display; provide a first piece of content with the electronic device; indicate a current position within the first piece of content with the progress icon; display a multi-purpose content navigation icon; and, while providing the first piece of content with the electronic device:
detect a first contact with the touch-sensitive surface at a first location that corresponds to the multi-purpose content navigation icon for at least a predetermined time period;
while continuing to detect the contact at the first location, move the current position within the first piece of content at a predefined scrubbing rate;
detect movement of the contact, wherein movement of the contact comprises a first component of movement on the touch-sensitive surface in a direction that corresponds to movement on the display parallel to the first predefined direction; and
respond to detecting the movement of the contact by moving the current position within the first piece of content at a variable scrubbing rate, wherein the variable scrubbing rate varies monotonically as the first component of movement on the touch-sensitive surface increases. | 2,100 |
4,883 | 14,337,456 | 2,176 | Techniques for appending new content to open content are described. In one or more embodiments, content having one or more hyperlinks associated with additional content is displayed. In implementations, a user selection of one of the hyperlinks is received. In response to receiving the user selection, the additional content associated with the hyperlink is added to the displayed content. In one or more embodiments, the content and the additional content are displayed together as a single content chain. | 1. A computer-implemented method, comprising:
displaying content having one or more hyperlinks associated with additional content; receiving a user selection of one said hyperlink; responsive to receiving the user selection, adding the additional content associated with the selected hyperlink to the displayed content; and displaying the content and the additional content together as a single content chain. 2. A computer-implemented method as recited in claim 1, wherein:
the content comprises a first document; and the additional content comprises a second document that is different than the first document. 3. A computer-implemented method as recited in claim 1, wherein the content and the additional content are displayed within a same tab of a displayed browser interface. 4. A computer-implemented method as recited in claim 1, wherein the single content chain is configured to enable continuous scrolling from the content to the new content without interruption. 5. A computer-implemented method as recited in claim 1, wherein the user selection is initiated via a right click on a respective said hyperlink and a selection of a menu option to open the additional content together with the content. 6. A computer-implemented method as recited in claim 1, further comprising:
receiving a user input that selects an additional said hyperlink; responsive to receiving the user input, appending at least a portion of new content to the additional content; and displaying the content, the additional content, and the at least a portion of the new content as the single content chain. 7. A system, comprising:
a memory configured to store computer program instructions as a document manager module; one or more processors to implement the document manager module that is configured to:
open a new document by appending the new document to an open document in response to a user selection of a hyperlink associated with the open document; and
initiate a display of the open document and the new document to be displayed as a single document chain. 8. A system as recited in claim 7, wherein the document manager module is configured to open the new document in a same browser window that displays the open document. 9. A system as recited in claim 7, wherein the document manager module is configured to open the new document in a same tab of a displayed browser interface that is used to display the open document. 10. A system as recited in claim 7, wherein the document manager module is configured to generate a list of documents that are included in the single document chain. 11. A system as recited in claim 10, wherein the documents in the list are individually closeable to cause removal of a closed document from the single document chain. 12. A system as recited in claim 10, wherein the document manager module is configured to change a display order of the documents in the single document chain responsive to a user input to change the display order of the documents in the list. 13. A system as recited in claim 7, wherein:
the open document includes multiple documents appended together, at least one of the multiple documents being associated with a hyperlink embedded in another one of the multiple documents; and the document manager module is configured to append the new document to the multiple documents. 14. Computer-readable storage memory comprising instructions that are executable and, responsive to execution by one or more processors, cause the one or more processors to perform operations comprising:
receiving a user input of a hyperlink embedded within a first document, the hyperlink being associated with a second document; and responsive to the user input, appending the second document to the first document to enable continuous scrolling from the first document to the second document. 15. Computer-readable storage memory as recited in claim 14, wherein the operations further comprise:
receiving an additional user input of an additional hyperlink embedded within one of the first document or the second document, the additional hyperlink being associated with a third document; and responsive to the additional user input, appending the third document to the second document to enable continuous scrolling through a single document chain that includes the first document, the second document, and the third document. 16. Computer-readable storage memory as recited in claim 15, wherein the operations further comprise:
closing the second document responsive to a user input received to close the second document; and updating the single document chain by appending the third document to the first document to enable continuous scrolling through the single document chain from the first document to the third document. 17. Computer-readable storage memory as recited in claim 14, wherein the user input comprises:
a right click on the hyperlink to initiate a display of a menu; and a selection of an item in the menu to open the second document by appending the second document to the first document in a single document chain. 18. Computer-readable storage memory as recited in claim 14, wherein the operations further comprise:
generating a list of documents in a single document chain that includes the first document and the second document; and modifying a display order of the documents in the single document chain based on a user input to change a listed order of the documents in the list. 19. Computer-readable storage memory as recited in claim 14, wherein:
the first document includes multiple documents appended together in a document chain; and the second document is appended to an end of the document chain. 20. Computer-readable storage memory as recited in claim 14, wherein the second document comprises a file format that is different than a file format of the first document. | Techniques for appending new content to open content are described. In one or more embodiments, content having one or more hyperlinks associated with additional content is displayed. In implementations, a user selection of one of the hyperlinks is received. In response to receiving the user selection, the additional content associated with the hyperlink is added to the displayed content. In one or more embodiments, the content and the additional content are displayed together as a single content chain.1. A computer-implemented method, comprising:
displaying content having one or more hyperlinks associated with additional content; receiving a user selection of one said hyperlink; responsive to receiving the user selection, adding the additional content associated with the selected hyperlink to the displayed content; and displaying the content and the additional content together as a single content chain. 2. A computer-implemented method as recited in claim 1, wherein:
the content comprises a first document; and the additional content comprises a second document that is different than the first document. 3. A computer-implemented method as recited in claim 1, wherein the content and the additional content are displayed within a same tab of a displayed browser interface. 4. A computer-implemented method as recited in claim 1, wherein the single content chain is configured to enable continuous scrolling from the content to the new content without interruption. 5. A computer-implemented method as recited in claim 1, wherein the user selection is initiated via a right click on a respective said hyperlink and a selection of a menu option to open the additional content together with the content. 6. A computer-implemented method as recited in claim 1, further comprising:
receiving a user input that selects an additional said hyperlink; responsive to receiving the user input, appending at least a portion of new content to the additional content; and displaying the content, the additional content, and the at least a portion of the new content as the single content chain. 7. A system, comprising:
a memory configured to store computer program instructions as a document manager module; one or more processors to implement the document manager module that is configured to:
open a new document by appending the new document to an open document in response to a user selection of a hyperlink associated with the open document; and
initiate a display of the open document and the new document to be displayed as a single document chain. 8. A system as recited in claim 7, wherein the document manager module is configured to open the new document in a same browser window that displays the open document. 9. A system as recited in claim 7, wherein the document manager module is configured to open the new document in a same tab of a displayed browser interface that is used to display the open document. 10. A system as recited in claim 7, wherein the document manager module is configured to generate a list of documents that are included in the single document chain. 11. A system as recited in claim 10, wherein the documents in the list are individually closeable to cause removal of a closed document from the single document chain. 12. A system as recited in claim 10, wherein the document manager module is configured to change a display order of the documents in the single document chain responsive to a user input to change the display order of the documents in the list. 13. A system as recited in claim 7, wherein:
the open document includes multiple documents appended together, at least one of the multiple documents being associated with a hyperlink embedded in another one of the multiple documents; and the document manager module is configured to append the new document to the multiple documents. 14. Computer-readable storage memory comprising instructions that are executable and, responsive to execution by one or more processors, cause the one or more processors to perform operations comprising:
receiving a user input of a hyperlink embedded within a first document, the hyperlink being associated with a second document; and responsive to the user input, appending the second document to the first document to enable continuous scrolling from the first document to the second document. 15. Computer-readable storage memory as recited in claim 14, wherein the operations further comprise:
receiving an additional user input of an additional hyperlink embedded within one of the first document or the second document, the additional hyperlink being associated with a third document; and responsive to the additional user input, appending the third document to the second document to enable continuous scrolling through a single document chain that includes the first document, the second document, and the third document. 16. Computer-readable storage memory as recited in claim 15, wherein the operations further comprise:
closing the second document responsive to a user input received to close the second document; and updating the single document chain by appending the third document to the first document to enable continuous scrolling through the single document chain from the first document to the third document. 17. Computer-readable storage memory as recited in claim 14, wherein the user input comprises:
a right click on the hyperlink to initiate a display of a menu; and a selection of an item in the menu to open the second document by appending the second document to the first document in a single document chain. 18. Computer-readable storage memory as recited in claim 14, wherein the operations further comprise:
generating a list of documents in a single document chain that includes the first document and the second document; and modifying a display order of the documents in the single document chain based on a user input to change a listed order of the documents in the list. 19. Computer-readable storage memory as recited in claim 14, wherein:
the first document includes multiple documents appended together in a document chain; and the second document is appended to an end of the document chain. 20. Computer-readable storage memory as recited in claim 14, wherein the second document comprises a file format that is different than a file format of the first document. | 2,100 |
4,884 | 15,040,124 | 2,142 | A slave relay station is adapted to serve and/or host pages comprising a simplified graphic user interface (GUI) encoded in a widely recognized format such as, for example, HTML or WML. The GUI embodies activatable links corresponding to control functions for configured appliances. A wireless phone or other device with network access and the capability to process and present such pages, for example via a Web browser, may then be utilized to effect control of such appliances by simply navigating to the network address of the slave relay station, obtaining an appropriate GUI page, and interacting with the links. | 1. A media access controlling device having a processing device and a non-transitory computer readable media on which is stored instructions which, when executed by the processing device, cause the media access controlling device to perform steps, comprising:
receiving from a personal communication device data that at least identifies by name a one of a plurality of media content sources; causing the data that at least identifies by name a one of a plurality of media content sources to be used to locate a sequence of commands to be used to cause a display device to present a media content stream that originates from the named one of the plurality of media content sources; and causing the located sequence of commands to be executed whereupon the media content stream that originates from the named one of the plurality of media content sources will be presented on the display device. 2. The media access controlling device as recited in claim 1, wherein the name comprises the name of a television network broadcaster and wherein the sequence of commands comprises a sequence of tuning commands that are transmitted by the media access controlling device to the display device for execution by the display device. 3. The media access controlling device as recited in claim 2, wherein display device comprises a television. 4. The media access controlling device as recited in claim 1, wherein the name comprises the name of a television network broadcaster and wherein the sequence of commands comprises a sequence of tuning commands that are transmitted by the media access controlling device to a set-top box associated with the display device for execution by the set-top box. 5. The media access controlling device as recited in claim 1, wherein the data that identifies by name a one of the plurality of media content sources is received from the personal communication device in a network protocol request message. 6. The media access controlling device as recited in claim 1, wherein the instruction cause a graphical user interface page to be presented on the personal communication device and wherein a user interaction with the graphical user interface page causes a receipt of the data that identifies by name a one of the plurality of media content sources. 7. The media access controlling device as recited in claim 6, wherein the instructions cause the graphical user interface page to be retrieved from a server device prior to causing the graphical user interface page to be presented on the personal communication device. 8. The media access controlling device as recited in claim 6, wherein the instructions cause the graphical user interface page to be placed into a form determined to be appropriate for display capabilities of the personal communication device. 9. The media access controlling device as recited in claim 8, wherein the data indicative of the capabilities of the personal communication device comprises data indicative of a make and model of the personal communication device. 10. The media access controlling device as recited in claim 9, wherein the data indicative of the capabilities of the personal communication device comprises data indicative of an identity and revision of software used in connection with a display of the personal communication device. 11. The media access controlling device as recited in claim 6, wherein the graphical user interface page caused to be presented on the personal communications device is selected from a plurality of preformatted graphical user interface pages as a function of capabilities of the personal communication device. | A slave relay station is adapted to serve and/or host pages comprising a simplified graphic user interface (GUI) encoded in a widely recognized format such as, for example, HTML or WML. The GUI embodies activatable links corresponding to control functions for configured appliances. A wireless phone or other device with network access and the capability to process and present such pages, for example via a Web browser, may then be utilized to effect control of such appliances by simply navigating to the network address of the slave relay station, obtaining an appropriate GUI page, and interacting with the links.1. A media access controlling device having a processing device and a non-transitory computer readable media on which is stored instructions which, when executed by the processing device, cause the media access controlling device to perform steps, comprising:
receiving from a personal communication device data that at least identifies by name a one of a plurality of media content sources; causing the data that at least identifies by name a one of a plurality of media content sources to be used to locate a sequence of commands to be used to cause a display device to present a media content stream that originates from the named one of the plurality of media content sources; and causing the located sequence of commands to be executed whereupon the media content stream that originates from the named one of the plurality of media content sources will be presented on the display device. 2. The media access controlling device as recited in claim 1, wherein the name comprises the name of a television network broadcaster and wherein the sequence of commands comprises a sequence of tuning commands that are transmitted by the media access controlling device to the display device for execution by the display device. 3. The media access controlling device as recited in claim 2, wherein display device comprises a television. 4. The media access controlling device as recited in claim 1, wherein the name comprises the name of a television network broadcaster and wherein the sequence of commands comprises a sequence of tuning commands that are transmitted by the media access controlling device to a set-top box associated with the display device for execution by the set-top box. 5. The media access controlling device as recited in claim 1, wherein the data that identifies by name a one of the plurality of media content sources is received from the personal communication device in a network protocol request message. 6. The media access controlling device as recited in claim 1, wherein the instruction cause a graphical user interface page to be presented on the personal communication device and wherein a user interaction with the graphical user interface page causes a receipt of the data that identifies by name a one of the plurality of media content sources. 7. The media access controlling device as recited in claim 6, wherein the instructions cause the graphical user interface page to be retrieved from a server device prior to causing the graphical user interface page to be presented on the personal communication device. 8. The media access controlling device as recited in claim 6, wherein the instructions cause the graphical user interface page to be placed into a form determined to be appropriate for display capabilities of the personal communication device. 9. The media access controlling device as recited in claim 8, wherein the data indicative of the capabilities of the personal communication device comprises data indicative of a make and model of the personal communication device. 10. The media access controlling device as recited in claim 9, wherein the data indicative of the capabilities of the personal communication device comprises data indicative of an identity and revision of software used in connection with a display of the personal communication device. 11. The media access controlling device as recited in claim 6, wherein the graphical user interface page caused to be presented on the personal communications device is selected from a plurality of preformatted graphical user interface pages as a function of capabilities of the personal communication device. | 2,100 |
4,885 | 14,826,006 | 2,169 | In an example embodiment, a system comprises one or more modules to specially-configure a capability of the system to manage prior art cross-citation. A patent case database is maintained which includes data about each patent case in the patent case database. Sample system operations include receiving a reference document into the database and associating the reference document with a first patent case in the patent case database. | 1. A method comprising:
maintaining a patent case database, wherein the database includes data about each patent case in the patent case database, receiving a reference document into the database; associating the reference document with a first patent case in the patent case database; identifying a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document; displaying in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document; associating the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. 2. The method of claim 1, wherein associating the reference document with one or more of the set of target patent cases is based further based on a ground of rejection on which the reference document was cited by a patenting authority. 3. The method of claim 1, wherein the at least one propagation option relates to at least one of the cross-citation characteristics of the reference document. 4. The method of claim 1, wherein selection of the at least one propagation option specifies whether the reference document is to be cited to a patenting authority. 5. The method of claim 3, wherein selection of the at least one propagation option specifies whether the reference document is to be associated with any other related patent cases in the set. 6. The method of claim 1, wherein the identification of a set of patent cases related to the first case is based on a common priority claim present in the first case and the set. 7. A system comprising:
one or more modules to specially-configure a capability of the system to manage prior art cross-citation, each module implemented by one or more processors; a memory; and software operable on the one or more processors to:
maintain a patent case database, wherein the database includes data about each patent case in the patent case database,
receive a reference document into the database;
associate the reference document with a first patent case in the patent case database;
identify a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document;
display in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document;
associate the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. 8. A non-transitory machine readable medium, including instructions, which when performed by a machine, causes the machine to perform operations comprising:
maintaining a patent case database, wherein the database includes data about each patent case in the patent case database, receiving a reference document into the database; associating the reference document with a first patent case in the patent case database; identifying a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document; displaying in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document; associating the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. | In an example embodiment, a system comprises one or more modules to specially-configure a capability of the system to manage prior art cross-citation. A patent case database is maintained which includes data about each patent case in the patent case database. Sample system operations include receiving a reference document into the database and associating the reference document with a first patent case in the patent case database.1. A method comprising:
maintaining a patent case database, wherein the database includes data about each patent case in the patent case database, receiving a reference document into the database; associating the reference document with a first patent case in the patent case database; identifying a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document; displaying in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document; associating the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. 2. The method of claim 1, wherein associating the reference document with one or more of the set of target patent cases is based further based on a ground of rejection on which the reference document was cited by a patenting authority. 3. The method of claim 1, wherein the at least one propagation option relates to at least one of the cross-citation characteristics of the reference document. 4. The method of claim 1, wherein selection of the at least one propagation option specifies whether the reference document is to be cited to a patenting authority. 5. The method of claim 3, wherein selection of the at least one propagation option specifies whether the reference document is to be associated with any other related patent cases in the set. 6. The method of claim 1, wherein the identification of a set of patent cases related to the first case is based on a common priority claim present in the first case and the set. 7. A system comprising:
one or more modules to specially-configure a capability of the system to manage prior art cross-citation, each module implemented by one or more processors; a memory; and software operable on the one or more processors to:
maintain a patent case database, wherein the database includes data about each patent case in the patent case database,
receive a reference document into the database;
associate the reference document with a first patent case in the patent case database;
identify a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document;
display in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document;
associate the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. 8. A non-transitory machine readable medium, including instructions, which when performed by a machine, causes the machine to perform operations comprising:
maintaining a patent case database, wherein the database includes data about each patent case in the patent case database, receiving a reference document into the database; associating the reference document with a first patent case in the patent case database; identifying a set of target patent cases including at least one patent case related to the first patent case as potential propagation target cases for cross-citation of the reference document; displaying in a user interface the identity of the set of target patent cases, the user interface including at least one propagation selection option for the reference document; associating the reference document with one or more of the set of target patent cases based on a selected propagation option and a comparison of a publication or priority date of the reference document and a priority date of a target patent case of the set of target patent cases. | 2,100 |
4,886 | 14,476,912 | 2,125 | A mechanism is provided in a data processing system for categorizing a user providing a text input. The mechanism receives an input text written by a user and determines a set of features associated with the input text. The mechanism processes the input text and the set of features by a detection model. The detection model comprises a plurality of detectors corresponding to a plurality of categories. Each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features. The mechanism categorizes the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. | 1. A method, in a data processing system, for categorizing a user providing a text input, the method comprising:
receiving, by the data processing system, an input text written by a user; determining, by the data processing system, a set of features associated with the input text; processing, by the data processing system, the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorizing, by the data processing system, the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. 2. The method of claim 1, wherein each detector determines a presence probability that the user fits the respective category based on the input and the set of features, determines an absence probability that the user fits a default category based on the input and the set of features, and compares a difference between the presence probability and the absence probability to a threshold. 3. The method of claim 2, wherein determining the presence probability for an ith category comprises calculating a first discriminant function as follows:
p(X|θ0 (i)),
where X represents the set of features associated with the input text and θ0 (i) represents features that fit the ith category. 4. The method of claim 3, wherein determining the absence probability for the ith category comprises calculating a second discriminant function as follows:
p(X|θ1 (i)),
where θ0 (i) represents features that do not fit the ith category. 5. The method of claim 1, wherein the detection model is a parallel detection model, wherein the plurality of detectors determine whether the user fits their respective categories in parallel. 6. The method of claim 1, wherein the detection model is a series detection model, wherein the plurality of detectors determine whether the user fits their respective categories in series. 7. The method of claim 6, wherein the detection model ends processing responsive to a detector determining the user fits a respective category. 8. The method of claim 7, wherein the detection model determines the user fits a default category responsive to no detectors determining the user fits a respective category. 9. The method of claim 1, wherein the plurality of categories comprise a plurality of distinct categories. 10. The method of claim 1, wherein the plurality of categories comprise a plurality of levels of a user characteristic. 11. The method of claim 10, wherein the plurality of levels of the user characteristic comprise one of the following:
a plurality of expertise levels; a plurality of levels of language fluency; a plurality of degrees of urgency; or a plurality of degrees of user frustration. 12. The method of claim 1, wherein determining the set of features associated with the input text comprises:
extracting a plurality of features from the input text using an annotation engine pipeline. 13. The method of claim 12, wherein determining the set of features associated with the input text further comprises:
obtaining features from the user's posting history within a collection of question and answer postings. 14. The method of claim 13, wherein determining the set of features associated with the input text further comprises:
obtaining features from responses by other users within the collection of question and answer postings. 15. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:
receive an input text written by a user; determine a set of features associated with the input text; process the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorize the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. 16. The computer program product of claim 15, wherein each detector determines a presence probability that the user fits the respective category based on the input and the set of features, determines an absence probability that the user fits a default category based on the input and the set of features, and compares a difference between the presence probability and the absence probability to a threshold. 17. The computer program product of claim 15, wherein the detection model is a parallel detection model, wherein the plurality of detectors determine whether the user fits their respective categories in parallel. 18. The computer program product of claim 15, wherein the detection model is a series detection model, wherein the plurality of detectors determine whether the user fits their respective categories in series. 19. The computer program product of claim 18, wherein the detection model ends processing responsive to a detector determining the user fits a respective category. 20. An apparatus comprising:
a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive an input text written by a user; determine a set of features associated with the input text; process the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorize the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. | A mechanism is provided in a data processing system for categorizing a user providing a text input. The mechanism receives an input text written by a user and determines a set of features associated with the input text. The mechanism processes the input text and the set of features by a detection model. The detection model comprises a plurality of detectors corresponding to a plurality of categories. Each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features. The mechanism categorizes the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model.1. A method, in a data processing system, for categorizing a user providing a text input, the method comprising:
receiving, by the data processing system, an input text written by a user; determining, by the data processing system, a set of features associated with the input text; processing, by the data processing system, the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorizing, by the data processing system, the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. 2. The method of claim 1, wherein each detector determines a presence probability that the user fits the respective category based on the input and the set of features, determines an absence probability that the user fits a default category based on the input and the set of features, and compares a difference between the presence probability and the absence probability to a threshold. 3. The method of claim 2, wherein determining the presence probability for an ith category comprises calculating a first discriminant function as follows:
p(X|θ0 (i)),
where X represents the set of features associated with the input text and θ0 (i) represents features that fit the ith category. 4. The method of claim 3, wherein determining the absence probability for the ith category comprises calculating a second discriminant function as follows:
p(X|θ1 (i)),
where θ0 (i) represents features that do not fit the ith category. 5. The method of claim 1, wherein the detection model is a parallel detection model, wherein the plurality of detectors determine whether the user fits their respective categories in parallel. 6. The method of claim 1, wherein the detection model is a series detection model, wherein the plurality of detectors determine whether the user fits their respective categories in series. 7. The method of claim 6, wherein the detection model ends processing responsive to a detector determining the user fits a respective category. 8. The method of claim 7, wherein the detection model determines the user fits a default category responsive to no detectors determining the user fits a respective category. 9. The method of claim 1, wherein the plurality of categories comprise a plurality of distinct categories. 10. The method of claim 1, wherein the plurality of categories comprise a plurality of levels of a user characteristic. 11. The method of claim 10, wherein the plurality of levels of the user characteristic comprise one of the following:
a plurality of expertise levels; a plurality of levels of language fluency; a plurality of degrees of urgency; or a plurality of degrees of user frustration. 12. The method of claim 1, wherein determining the set of features associated with the input text comprises:
extracting a plurality of features from the input text using an annotation engine pipeline. 13. The method of claim 12, wherein determining the set of features associated with the input text further comprises:
obtaining features from the user's posting history within a collection of question and answer postings. 14. The method of claim 13, wherein determining the set of features associated with the input text further comprises:
obtaining features from responses by other users within the collection of question and answer postings. 15. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:
receive an input text written by a user; determine a set of features associated with the input text; process the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorize the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. 16. The computer program product of claim 15, wherein each detector determines a presence probability that the user fits the respective category based on the input and the set of features, determines an absence probability that the user fits a default category based on the input and the set of features, and compares a difference between the presence probability and the absence probability to a threshold. 17. The computer program product of claim 15, wherein the detection model is a parallel detection model, wherein the plurality of detectors determine whether the user fits their respective categories in parallel. 18. The computer program product of claim 15, wherein the detection model is a series detection model, wherein the plurality of detectors determine whether the user fits their respective categories in series. 19. The computer program product of claim 18, wherein the detection model ends processing responsive to a detector determining the user fits a respective category. 20. An apparatus comprising:
a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive an input text written by a user; determine a set of features associated with the input text; process the input text and the set of features by a detection model, wherein the detection model comprises a plurality of detectors corresponding to a plurality of categories, wherein each of the plurality of detectors determines whether the user fits a respective category based on the input text and the set of features; and categorize the user into one or more of the plurality of categories based on a result of processing the input text and the set of features by the detection model. | 2,100 |
4,887 | 13,769,176 | 2,158 | Managing assets in a movie during production, including: storing new material in a file in a first folder in a data storage system; sending the new material to an editorial system; storing the new material in a file in a second folder in the data storage system; and creating an empty file in a third folder, wherein the empty file has the same name as the file for the new material in the first folder. Keywords include storyboard and editorial. | 1. A method of managing assets in a movie during production, comprising:
storing new material in a file in a first folder of a data storage system; sending the new material to an editorial system; storing the new material in a file in a second folder of the data storage system; and creating an empty file in a third folder of the data storage system, wherein the empty file has the same name as the file for the new material in the first folder. 2. The method of claim 1, further comprising
receiving the new material from a storyboard of the movie. 3. The method of claim 2, wherein the new material comprises an updated sequence of shots of the storyboard. 4. The method of claim 3, wherein sending the new material to the editorial system comprises
publishing the updated sequence of shots to the editorial system. 5. The method of claim 1, further comprising
creating a source folder in an editing application to indicate the new material. 6. The method of claim 5, wherein the source folder comprises
metadata that was sent along with the new material, wherein the metadata describes various attributes of the new material. 7. The method of claim 6, further comprising
using the metadata to identify and delete the empty file in the third folder and republish the sequence of shots when re-generation is required. 8. The method of claim 1, further comprising
updating an edit from the editorial system. 9. The method of claim 8, further comprising
using first and second files generated by the editorial system to update the edit, wherein the first file is a movie file of the edit and the second file is a cutlist that includes a breakdown of each shot contained in the movie. 10. The method of claim 9, further comprising
parsing the cutlist and identifying any shots that already exist in the edit by searching for unique identifiers of the shots. 11. An asset management system, comprising:
a data storage system configured into at least first, second, and third folders, the first folder configured to store new material in a file; a processor configured to: move the new material to a file in the second folder after the new material is sent to an editorial system; and create an empty file in the third folder, wherein the empty file has the same name as the file for the new material in the first folder. 12. The asset management system of claim 11, wherein the new material comprises an updated sequence of shots of a storyboard. 13. A non-transitory storage medium storing a computer program to manage assets during production of a movie, the computer program comprising executable instructions that cause a computer to:
store new material in a file in a first folder in a data storage system; send the new material to an editorial system; store the new material in a file in a second folder in the data storage system; and create an empty file in a third folder, wherein the empty file has the same name as the file for the new material in the first folder. 14. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
receive the new material from a storyboard, wherein the new material comprises an updated sequence of shots of the storyboard. 15. The non-transitory storage medium of claim 14, wherein executable instructions that cause a computer to send the new material to the editorial system comprises executable instructions that cause a computer to
publish the updated sequence of shots to the editorial system. 16. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
create a source folder in an editing application to indicate the new material, wherein the source folder includes metadata that was sent along with the new material, and wherein the metadata describes various attributes of the new material. 17. The non-transitory storage medium of claim 16, further comprising executable instructions that cause a computer to
use the metadata to identify and delete the empty file in the third folder and republish the sequence of shots when re-generation is required. 18. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
update an edit from the editorial system. 19. The non-transitory storage medium of claim 18, further comprising executable instructions that cause a computer to
use first and second files generated by the editorial system to update the edit, wherein the first file is a movie file of the edit and the second file is a cutlist that includes a breakdown of each shot contained in the movie. 20. The non-transitory storage medium of claim 19, further comprising executable instructions that cause a computer to
parse the cutlist and identify any shots that already exist in the edit by searching for unique identifiers of the shots. | Managing assets in a movie during production, including: storing new material in a file in a first folder in a data storage system; sending the new material to an editorial system; storing the new material in a file in a second folder in the data storage system; and creating an empty file in a third folder, wherein the empty file has the same name as the file for the new material in the first folder. Keywords include storyboard and editorial.1. A method of managing assets in a movie during production, comprising:
storing new material in a file in a first folder of a data storage system; sending the new material to an editorial system; storing the new material in a file in a second folder of the data storage system; and creating an empty file in a third folder of the data storage system, wherein the empty file has the same name as the file for the new material in the first folder. 2. The method of claim 1, further comprising
receiving the new material from a storyboard of the movie. 3. The method of claim 2, wherein the new material comprises an updated sequence of shots of the storyboard. 4. The method of claim 3, wherein sending the new material to the editorial system comprises
publishing the updated sequence of shots to the editorial system. 5. The method of claim 1, further comprising
creating a source folder in an editing application to indicate the new material. 6. The method of claim 5, wherein the source folder comprises
metadata that was sent along with the new material, wherein the metadata describes various attributes of the new material. 7. The method of claim 6, further comprising
using the metadata to identify and delete the empty file in the third folder and republish the sequence of shots when re-generation is required. 8. The method of claim 1, further comprising
updating an edit from the editorial system. 9. The method of claim 8, further comprising
using first and second files generated by the editorial system to update the edit, wherein the first file is a movie file of the edit and the second file is a cutlist that includes a breakdown of each shot contained in the movie. 10. The method of claim 9, further comprising
parsing the cutlist and identifying any shots that already exist in the edit by searching for unique identifiers of the shots. 11. An asset management system, comprising:
a data storage system configured into at least first, second, and third folders, the first folder configured to store new material in a file; a processor configured to: move the new material to a file in the second folder after the new material is sent to an editorial system; and create an empty file in the third folder, wherein the empty file has the same name as the file for the new material in the first folder. 12. The asset management system of claim 11, wherein the new material comprises an updated sequence of shots of a storyboard. 13. A non-transitory storage medium storing a computer program to manage assets during production of a movie, the computer program comprising executable instructions that cause a computer to:
store new material in a file in a first folder in a data storage system; send the new material to an editorial system; store the new material in a file in a second folder in the data storage system; and create an empty file in a third folder, wherein the empty file has the same name as the file for the new material in the first folder. 14. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
receive the new material from a storyboard, wherein the new material comprises an updated sequence of shots of the storyboard. 15. The non-transitory storage medium of claim 14, wherein executable instructions that cause a computer to send the new material to the editorial system comprises executable instructions that cause a computer to
publish the updated sequence of shots to the editorial system. 16. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
create a source folder in an editing application to indicate the new material, wherein the source folder includes metadata that was sent along with the new material, and wherein the metadata describes various attributes of the new material. 17. The non-transitory storage medium of claim 16, further comprising executable instructions that cause a computer to
use the metadata to identify and delete the empty file in the third folder and republish the sequence of shots when re-generation is required. 18. The non-transitory storage medium of claim 13, further comprising executable instructions that cause a computer to
update an edit from the editorial system. 19. The non-transitory storage medium of claim 18, further comprising executable instructions that cause a computer to
use first and second files generated by the editorial system to update the edit, wherein the first file is a movie file of the edit and the second file is a cutlist that includes a breakdown of each shot contained in the movie. 20. The non-transitory storage medium of claim 19, further comprising executable instructions that cause a computer to
parse the cutlist and identify any shots that already exist in the edit by searching for unique identifiers of the shots. | 2,100 |
4,888 | 14,580,798 | 2,178 | One embodiment provides a method, including: accepting, in an input overlay application, handwriting ink strokes; determining handwriting units for the handwriting ink strokes; accepting editing input of the handwriting ink strokes; and reflowing handwriting ink strokes based on the editing input. Other embodiments are described and claimed. | 1. A method, comprising:
accepting, in an input overlay application, handwriting ink strokes; determining handwriting units for the handwriting ink strokes; accepting editing input of the handwriting ink strokes; and reflowing handwriting ink strokes based on the editing input. 2. The method of claim 1, wherein:
the editing input comprises an insertion gesture; and the reflowing comprises inserting new handwriting ink strokes as a new handwriting unit between two existing handwriting units. 3. The method of claim 2, further comprising dynamically growing an insertion handwriting unit to accommodate the new handwriting ink strokes. 4. The method of claim 3, wherein the reflowing comprises dynamically reflowing the handwriting units based on the insertion handwriting unit size. 5. The method of claim 1, wherein:
the editing input comprises a deletion gesture; and the reflowing comprises deleting one of the handwriting units and repositioning any remaining handwriting ink strokes. 6. The method of claim 1, wherein the reflowing comprises shifting one or more handwriting units laterally. 7. The method of claim 1, wherein the reflowing comprises shifting one or more handwriting units vertically. 8. The method of claim 1, further comprising:
determining a block unit for the handwriting ink strokes, wherein the reflowing comprises reflowing the block unit in a coordinated fashion. 9. The method of claim 8, wherein:
the editing input comprises a drag movement of a handwriting unit; and the reflowing comprises reflowing the block unit in a coordinated fashion. 10. The method claim 1, further comprising:
determining a block unit for the handwriting ink strokes; and providing margin controls in the input overlay application based on a size of the block unit; wherein the editing input comprises a margin change; and wherein the reflowing comprises reflowing the block unit in a coordinated fashion based on the margin change. 11. An electronic device, comprising:
an input and display device; a processor operatively coupled to the input and display device; and a memory that stores instructions executable by the processor to:
accept, in an input overlay application, handwriting ink strokes;
determine handwriting units for the handwriting ink strokes;
accept editing input of the handwriting ink strokes; and
reflow handwriting ink strokes based on the editing input. 12. The electronic device of claim 11, wherein:
the editing input comprises an insertion gesture; and to reflow comprises inserting new handwriting ink strokes as a new handwriting unit between two existing handwriting units. 13. The electronic device of claim 12, wherein the instructions are executable by the processor to dynamically grow an insertion handwriting unit to accommodate the new handwriting ink strokes. 14. The electronic device of claim 13, wherein to reflow comprises dynamically reflowing the handwriting units based on the insertion handwriting unit size. 15. The electronic device of claim 11, wherein:
the editing input comprises a deletion gesture; and to reflow comprises deleting one of the handwriting units and repositioning any remaining handwriting ink strokes. 16. The electronic device of claim 11, wherein to reflow comprises shifting one or more handwriting units laterally. 17. The electronic device of claim 11, wherein to reflow comprises shifting one or more handwriting units vertically. 18. The electronic device of claim 11, wherein the instructions are executable by the processor to:
determine a block unit for the handwriting ink strokes, wherein to reflow comprises reflowing the block unit in a coordinated fashion. 19. The electronic device of claim 18, wherein:
the editing input comprises a drag movement of a handwriting unit; and to reflow comprises reflowing the block unit in a coordinated fashion. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor of an electronic device and comprising: code that accepts, in an input overlay application, handwriting ink strokes; code that determine handwriting units for the handwriting ink strokes; code that accept editing input of the handwriting ink strokes; and code that reflows handwriting ink strokes based on the editing input. | One embodiment provides a method, including: accepting, in an input overlay application, handwriting ink strokes; determining handwriting units for the handwriting ink strokes; accepting editing input of the handwriting ink strokes; and reflowing handwriting ink strokes based on the editing input. Other embodiments are described and claimed.1. A method, comprising:
accepting, in an input overlay application, handwriting ink strokes; determining handwriting units for the handwriting ink strokes; accepting editing input of the handwriting ink strokes; and reflowing handwriting ink strokes based on the editing input. 2. The method of claim 1, wherein:
the editing input comprises an insertion gesture; and the reflowing comprises inserting new handwriting ink strokes as a new handwriting unit between two existing handwriting units. 3. The method of claim 2, further comprising dynamically growing an insertion handwriting unit to accommodate the new handwriting ink strokes. 4. The method of claim 3, wherein the reflowing comprises dynamically reflowing the handwriting units based on the insertion handwriting unit size. 5. The method of claim 1, wherein:
the editing input comprises a deletion gesture; and the reflowing comprises deleting one of the handwriting units and repositioning any remaining handwriting ink strokes. 6. The method of claim 1, wherein the reflowing comprises shifting one or more handwriting units laterally. 7. The method of claim 1, wherein the reflowing comprises shifting one or more handwriting units vertically. 8. The method of claim 1, further comprising:
determining a block unit for the handwriting ink strokes, wherein the reflowing comprises reflowing the block unit in a coordinated fashion. 9. The method of claim 8, wherein:
the editing input comprises a drag movement of a handwriting unit; and the reflowing comprises reflowing the block unit in a coordinated fashion. 10. The method claim 1, further comprising:
determining a block unit for the handwriting ink strokes; and providing margin controls in the input overlay application based on a size of the block unit; wherein the editing input comprises a margin change; and wherein the reflowing comprises reflowing the block unit in a coordinated fashion based on the margin change. 11. An electronic device, comprising:
an input and display device; a processor operatively coupled to the input and display device; and a memory that stores instructions executable by the processor to:
accept, in an input overlay application, handwriting ink strokes;
determine handwriting units for the handwriting ink strokes;
accept editing input of the handwriting ink strokes; and
reflow handwriting ink strokes based on the editing input. 12. The electronic device of claim 11, wherein:
the editing input comprises an insertion gesture; and to reflow comprises inserting new handwriting ink strokes as a new handwriting unit between two existing handwriting units. 13. The electronic device of claim 12, wherein the instructions are executable by the processor to dynamically grow an insertion handwriting unit to accommodate the new handwriting ink strokes. 14. The electronic device of claim 13, wherein to reflow comprises dynamically reflowing the handwriting units based on the insertion handwriting unit size. 15. The electronic device of claim 11, wherein:
the editing input comprises a deletion gesture; and to reflow comprises deleting one of the handwriting units and repositioning any remaining handwriting ink strokes. 16. The electronic device of claim 11, wherein to reflow comprises shifting one or more handwriting units laterally. 17. The electronic device of claim 11, wherein to reflow comprises shifting one or more handwriting units vertically. 18. The electronic device of claim 11, wherein the instructions are executable by the processor to:
determine a block unit for the handwriting ink strokes, wherein to reflow comprises reflowing the block unit in a coordinated fashion. 19. The electronic device of claim 18, wherein:
the editing input comprises a drag movement of a handwriting unit; and to reflow comprises reflowing the block unit in a coordinated fashion. 20. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor of an electronic device and comprising: code that accepts, in an input overlay application, handwriting ink strokes; code that determine handwriting units for the handwriting ink strokes; code that accept editing input of the handwriting ink strokes; and code that reflows handwriting ink strokes based on the editing input. | 2,100 |
4,889 | 13,944,148 | 2,139 | A prefetcher maintains the state of stored prefetch information, such as a prefetch confidence level, when a prefetch would cross a memory page boundary. The maintained prefetch information can be used both to identify whether the stride pattern for a particular sequence of demand requests persists after the memory page boundary has been crossed, and to continue to issue prefetch requests according to the identified pattern. The prefetcher therefore does not have re-identify a stride pattern each time a page boundary is crossed by a sequence of demand requests, thereby improving the efficiency and accuracy of the prefetcher. | 1. A method comprising:
identifying, at a processor, a first stride value based on a first memory access request to a first memory page; in response to a sum of the first stride value and a memory address of the first memory access exceeding a page boundary of the first memory page, maintaining a first prefetch confidence associated with the first memory access; and in response to a second memory access to a second memory page subsequent to the first memory access, prefetching data from the memory based on the maintained first prefetch confidence. 2. The method of claim 1, wherein the second memory page is not contiguous to the first memory page in a physical address space of the processor. 3. The method of claim 1, further comprising increasing the first prefetch confidence in response to the first stride value matching a second stride value associated with a third memory access request. 4. The method of claim 1, further comprising:
suppressing a prefetch based on the sum of the first stride value and the memory address of the first memory access in response to the sum of the first stride value and the memory address of the first memory access exceeding the page boundary of the first memory page. 5. The method of claim 1, wherein prefetching data in response to the second memory access comprises:
identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to the sum value matching an offset portion of the memory address of the second memory access. 6. The method of claim 5, wherein prefetching data in response to the second memory access further comprises:
increasing the first prefetch confidence to generate a second prefetch confidence in response to a second stride value associated with the second memory access matching the first stride value; and prefetching the data in response to the second prefetch confidence exceeding a threshold. 7. The method of claim 1, wherein prefetching data in response to the second memory access comprises:
identifying a first page number for the first memory page and a second page number for the second memory page; identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to:
the first page number matching the second page number, and
the sum value matching an offset portion of the memory address of the second memory access. 8. The method of claim 1, further comprising:
storing prefetch information in response to the first memory access, the prefetch information identifying the first prefetch confidence; and maintaining a least-recently-used status of the stored prefetch information in response to the sum of the first stride value and a memory address of the first memory access exceeding the page boundary of the first memory page. 9. A method, comprising:
in response to a first memory access to a first memory page:
identifying a first stride for a first prefetch stream associated with the first memory access; and
in response to a sum of the stride and a first memory address for the first memory access exceeding a page boundary of the first memory page, maintaining a stored prefetch confidence for the first prefetch stream, the stored prefetch confidence indicative of a threshold to identify whether data is to be prefetched from a memory. 10. The method of claim 9, wherein identifying the first prefetch stream comprises identifying the first prefetch stream based on an instruction pointer for the first memory access. 11. The method of claim 10, further comprising:
in response to a second memory access to a second memory page:
in response to identifying the second memory access corresponds to the first prefetch stream based on an instruction pointer for the second memory access and in response to identifying that the second memory page is different from the second memory page:
identifying a sum value based on a sum of the first stride and an offset portion of the first memory address; and
in response to the sum value matching an offset portion of a second memory address for the second memory access, prefetching data from the memory based on the maintained stored prefetch confidence. 12. The method of claim 9, further comprising:
identifying the first prefetch stream based a first page number identifier for the first memory page. 13. The method of claim 12, further comprising:
in response to a second memory access to a second memory page:
identifying a first sum value based on a sum of the first stride and an offset portion of the first memory address;
identifying a second sum value based on a sum of a second stride and an offset portion of a third memory address associated with a second prefetch stream;
matching the second memory access to the first prefetch stream in response to the second memory page being different from the first memory page and the first sum value matching an offset portion of a second memory address for the second memory access;
matching the second memory access to the second prefetch stream in response to the second memory page matching the first memory page and the second sum value matching an offset portion of the second memory address;
selecting the second prefetch stream in response to the second memory access matching the second prefetch stream; and
prefetching data from a memory based on a prefetch confidence for the selected second prefetch stream. 14. The method of claim 12, further comprising:
in response to a second memory access to a second memory page:
identifying a first sum value based on a sum of the first stride and an offset portion of the first memory address;
identifying a second sum value based on a sum of a second stride and an offset portion of a third memory address associated with a second prefetch stream;
matching the second memory access to the first prefetch stream in response to the second memory page being different from the first memory page and the first sum value matching an offset portion of a second memory address for the second memory access;
matching the second memory access to the second prefetch stream in response to the second memory page not matching the first memory page and the second sum value matching an offset portion of the second memory address;
in response to matching the second memory access to the first prefetch stream and to the second prefetch stream selecting one of the first prefetch stream and the second prefetch stream based on which of the first prefetch stream and the second prefetch stream is associated with a more recent memory access; and
prefetching data from a memory based on a prefetch confidence for the selected prefetch stream. 15. A device, comprising:
a processor core to generate a plurality of memory access requests comprising a first memory access request and a second memory access request subsequent to the first memory access request; a prefetch table to store prefetch state information for the plurality of memory access requests including a first prefetch confidence; and a prefetcher to:
identify a first stride value based on the first memory access request accessing a first memory page;
in response to a sum of the first stride value and a memory address of the first memory access exceeding a page boundary of the first memory page, maintaining the first prefetch confidence at the prefetch table; and
in response to the second memory access request accessing a second memory page, prefetching data from the memory based on the maintained first prefetch confidence. 16. The device of claim 15, wherein the second memory page is non-sequential to the first memory page in a memory page order organized by an operating system executing at the processor core. 17. The device of claim 15, wherein the prefetcher is to:
increase the first prefetch confidence in response to the first stride value matching a second stride value associated with a third memory access request. 18. The device of claim 15, wherein the prefetcher is to:
suppress a prefetch based on the sum of the first stride value and the memory address of the first memory access in response to the sum of the first stride value and the memory address of the first memory access exceeding the page boundary of the first memory page. 19. The device of claim 15, wherein the prefetcher is to prefetch data in response to the second memory access by:
identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to the sum value matching an offset portion of the memory address of the second memory access. 20. The device of claim 19, wherein the prefetcher is to prefetch data in response to the second memory access by:
increasing the first prefetch confidence in response to a second stride value associated with the second memory access matching the first stride value to identify a second prefetch confidence; and prefetching the data in response to the second prefetch confidence exceeding a threshold. | A prefetcher maintains the state of stored prefetch information, such as a prefetch confidence level, when a prefetch would cross a memory page boundary. The maintained prefetch information can be used both to identify whether the stride pattern for a particular sequence of demand requests persists after the memory page boundary has been crossed, and to continue to issue prefetch requests according to the identified pattern. The prefetcher therefore does not have re-identify a stride pattern each time a page boundary is crossed by a sequence of demand requests, thereby improving the efficiency and accuracy of the prefetcher.1. A method comprising:
identifying, at a processor, a first stride value based on a first memory access request to a first memory page; in response to a sum of the first stride value and a memory address of the first memory access exceeding a page boundary of the first memory page, maintaining a first prefetch confidence associated with the first memory access; and in response to a second memory access to a second memory page subsequent to the first memory access, prefetching data from the memory based on the maintained first prefetch confidence. 2. The method of claim 1, wherein the second memory page is not contiguous to the first memory page in a physical address space of the processor. 3. The method of claim 1, further comprising increasing the first prefetch confidence in response to the first stride value matching a second stride value associated with a third memory access request. 4. The method of claim 1, further comprising:
suppressing a prefetch based on the sum of the first stride value and the memory address of the first memory access in response to the sum of the first stride value and the memory address of the first memory access exceeding the page boundary of the first memory page. 5. The method of claim 1, wherein prefetching data in response to the second memory access comprises:
identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to the sum value matching an offset portion of the memory address of the second memory access. 6. The method of claim 5, wherein prefetching data in response to the second memory access further comprises:
increasing the first prefetch confidence to generate a second prefetch confidence in response to a second stride value associated with the second memory access matching the first stride value; and prefetching the data in response to the second prefetch confidence exceeding a threshold. 7. The method of claim 1, wherein prefetching data in response to the second memory access comprises:
identifying a first page number for the first memory page and a second page number for the second memory page; identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to:
the first page number matching the second page number, and
the sum value matching an offset portion of the memory address of the second memory access. 8. The method of claim 1, further comprising:
storing prefetch information in response to the first memory access, the prefetch information identifying the first prefetch confidence; and maintaining a least-recently-used status of the stored prefetch information in response to the sum of the first stride value and a memory address of the first memory access exceeding the page boundary of the first memory page. 9. A method, comprising:
in response to a first memory access to a first memory page:
identifying a first stride for a first prefetch stream associated with the first memory access; and
in response to a sum of the stride and a first memory address for the first memory access exceeding a page boundary of the first memory page, maintaining a stored prefetch confidence for the first prefetch stream, the stored prefetch confidence indicative of a threshold to identify whether data is to be prefetched from a memory. 10. The method of claim 9, wherein identifying the first prefetch stream comprises identifying the first prefetch stream based on an instruction pointer for the first memory access. 11. The method of claim 10, further comprising:
in response to a second memory access to a second memory page:
in response to identifying the second memory access corresponds to the first prefetch stream based on an instruction pointer for the second memory access and in response to identifying that the second memory page is different from the second memory page:
identifying a sum value based on a sum of the first stride and an offset portion of the first memory address; and
in response to the sum value matching an offset portion of a second memory address for the second memory access, prefetching data from the memory based on the maintained stored prefetch confidence. 12. The method of claim 9, further comprising:
identifying the first prefetch stream based a first page number identifier for the first memory page. 13. The method of claim 12, further comprising:
in response to a second memory access to a second memory page:
identifying a first sum value based on a sum of the first stride and an offset portion of the first memory address;
identifying a second sum value based on a sum of a second stride and an offset portion of a third memory address associated with a second prefetch stream;
matching the second memory access to the first prefetch stream in response to the second memory page being different from the first memory page and the first sum value matching an offset portion of a second memory address for the second memory access;
matching the second memory access to the second prefetch stream in response to the second memory page matching the first memory page and the second sum value matching an offset portion of the second memory address;
selecting the second prefetch stream in response to the second memory access matching the second prefetch stream; and
prefetching data from a memory based on a prefetch confidence for the selected second prefetch stream. 14. The method of claim 12, further comprising:
in response to a second memory access to a second memory page:
identifying a first sum value based on a sum of the first stride and an offset portion of the first memory address;
identifying a second sum value based on a sum of a second stride and an offset portion of a third memory address associated with a second prefetch stream;
matching the second memory access to the first prefetch stream in response to the second memory page being different from the first memory page and the first sum value matching an offset portion of a second memory address for the second memory access;
matching the second memory access to the second prefetch stream in response to the second memory page not matching the first memory page and the second sum value matching an offset portion of the second memory address;
in response to matching the second memory access to the first prefetch stream and to the second prefetch stream selecting one of the first prefetch stream and the second prefetch stream based on which of the first prefetch stream and the second prefetch stream is associated with a more recent memory access; and
prefetching data from a memory based on a prefetch confidence for the selected prefetch stream. 15. A device, comprising:
a processor core to generate a plurality of memory access requests comprising a first memory access request and a second memory access request subsequent to the first memory access request; a prefetch table to store prefetch state information for the plurality of memory access requests including a first prefetch confidence; and a prefetcher to:
identify a first stride value based on the first memory access request accessing a first memory page;
in response to a sum of the first stride value and a memory address of the first memory access exceeding a page boundary of the first memory page, maintaining the first prefetch confidence at the prefetch table; and
in response to the second memory access request accessing a second memory page, prefetching data from the memory based on the maintained first prefetch confidence. 16. The device of claim 15, wherein the second memory page is non-sequential to the first memory page in a memory page order organized by an operating system executing at the processor core. 17. The device of claim 15, wherein the prefetcher is to:
increase the first prefetch confidence in response to the first stride value matching a second stride value associated with a third memory access request. 18. The device of claim 15, wherein the prefetcher is to:
suppress a prefetch based on the sum of the first stride value and the memory address of the first memory access in response to the sum of the first stride value and the memory address of the first memory access exceeding the page boundary of the first memory page. 19. The device of claim 15, wherein the prefetcher is to prefetch data in response to the second memory access by:
identifying a sum value based on sum of an offset portion of the memory address of the first memory access and the first stride value; and prefetching the data in response to the sum value matching an offset portion of the memory address of the second memory access. 20. The device of claim 19, wherein the prefetcher is to prefetch data in response to the second memory access by:
increasing the first prefetch confidence in response to a second stride value associated with the second memory access matching the first stride value to identify a second prefetch confidence; and prefetching the data in response to the second prefetch confidence exceeding a threshold. | 2,100 |
4,890 | 14,178,405 | 2,179 | An aspect provides a method, including: detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; the multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. Other aspects are described and claimed. | 1. A method, comprising:
detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 2. The method of claim 1, wherein said rendering an alternative input mapped to the multi-touch input comprises rendering a character not associated with a single touch input. 3. The method of claim 1, wherein said detecting comprises detecting that the multi-touch input is provided to a single soft key. 4. The method of claim 1, wherein said detecting comprises detecting that the multi-touch input is provided to two soft keys. 5. The method of claim 4, where said detecting comprises detecting that the multi-touch input is provided to two adjacent soft keys. 6. The method of claim 1, wherein said alternate input is displayed in a soft key involved in said multi-touch input. 7. An information handling device, comprising:
a touch sensitive surface; a display; a processor operatively coupled to the touch sensitive surface and the display; a memory device that stores instructions accessible to the processor, the instructions being executable by the processor to: detect, at the touch sensitive surface, a multi-touch input to a soft keyboard; and render on the display an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 8. The information handling device of claim 7, wherein to render an alternative input mapped to the multi-touch input comprises rendering a character not associated with a single touch input. 9. The information handling device of claim 7, wherein to detect comprises detecting that the multi-touch input is provided to a single soft key. 10. The information handling device of claim 7, wherein to detect comprises detecting that the multi-touch input is provided to two soft keys. 11. The information handling device of claim 10, where said detecting comprises detecting that the multi-touch input is provided to two adjacent soft keys. 12. The information handling device of claim 10, wherein said alternate input is displayed in a soft key involved in said multi-touch input. 13. The information handling device of claim 10, wherein the touch sensitive surface and the display are combined in a touch screen display device. 14. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor and comprising: code that detects, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and code that renders an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 15. A method, comprising:
detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; said multi-touch input being a sequential multi-touch input comprising a first touch input provided to a control soft key and a second touch input to a character soft key during a continuation of said first touch input; wherein said rendering an alternative input mapped to the multi-touch input comprises rending alternative inputs for a duration of time during which the first touch input is detected at the control soft key. 16. The method of claim 15, wherein said rendering an alternative input for a duration of time during which the first touch input is provided to the control soft key comprises rendering alternative inputs for character soft keys for the duration of time during which the touch input is detected at the control soft key. 17. The method of claim 16, wherein said rendering an alternative input comprises rendering repeated alternative inputs for sequential inputs detected for character soft keys. 18. The method of claim 16, wherein the control soft key comprises a shift key. 19. The method of claim 16, wherein the control soft key comprises an alternate key set display key. | An aspect provides a method, including: detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; the multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. Other aspects are described and claimed.1. A method, comprising:
detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 2. The method of claim 1, wherein said rendering an alternative input mapped to the multi-touch input comprises rendering a character not associated with a single touch input. 3. The method of claim 1, wherein said detecting comprises detecting that the multi-touch input is provided to a single soft key. 4. The method of claim 1, wherein said detecting comprises detecting that the multi-touch input is provided to two soft keys. 5. The method of claim 4, where said detecting comprises detecting that the multi-touch input is provided to two adjacent soft keys. 6. The method of claim 1, wherein said alternate input is displayed in a soft key involved in said multi-touch input. 7. An information handling device, comprising:
a touch sensitive surface; a display; a processor operatively coupled to the touch sensitive surface and the display; a memory device that stores instructions accessible to the processor, the instructions being executable by the processor to: detect, at the touch sensitive surface, a multi-touch input to a soft keyboard; and render on the display an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 8. The information handling device of claim 7, wherein to render an alternative input mapped to the multi-touch input comprises rendering a character not associated with a single touch input. 9. The information handling device of claim 7, wherein to detect comprises detecting that the multi-touch input is provided to a single soft key. 10. The information handling device of claim 7, wherein to detect comprises detecting that the multi-touch input is provided to two soft keys. 11. The information handling device of claim 10, where said detecting comprises detecting that the multi-touch input is provided to two adjacent soft keys. 12. The information handling device of claim 10, wherein said alternate input is displayed in a soft key involved in said multi-touch input. 13. The information handling device of claim 10, wherein the touch sensitive surface and the display are combined in a touch screen display device. 14. A product, comprising:
a storage device having code stored therewith, the code being executable by a processor and comprising: code that detects, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and code that renders an alternative input mapped to the multi-touch input; said multi-touch input being a substantially simultaneous multi-touch input to one or more character soft keys. 15. A method, comprising:
detecting, at a touch sensitive surface of an information handling device, a multi-touch input to a soft keyboard; and rendering an alternative input mapped to the multi-touch input; said multi-touch input being a sequential multi-touch input comprising a first touch input provided to a control soft key and a second touch input to a character soft key during a continuation of said first touch input; wherein said rendering an alternative input mapped to the multi-touch input comprises rending alternative inputs for a duration of time during which the first touch input is detected at the control soft key. 16. The method of claim 15, wherein said rendering an alternative input for a duration of time during which the first touch input is provided to the control soft key comprises rendering alternative inputs for character soft keys for the duration of time during which the touch input is detected at the control soft key. 17. The method of claim 16, wherein said rendering an alternative input comprises rendering repeated alternative inputs for sequential inputs detected for character soft keys. 18. The method of claim 16, wherein the control soft key comprises a shift key. 19. The method of claim 16, wherein the control soft key comprises an alternate key set display key. | 2,100 |
4,891 | 13,651,117 | 2,119 | According to one exemplary embodiment, the application relates to a method for controlling an operating table with a portable device by receiving an operating table activation command by way of the portable device's touch screen and transmitting an adjustment command consistent with the activation command wirelessly to an operating table for controlling the same in accordance with the adjustment command. | 1. A method for controlling an operating table with a portable device, the portable device having a touch screen and an action button for moving an operating table or a segment thereof in any direction, comprising:
receiving an operating table activation command by way of the portable device's touch screen; and transmitting wirelessly to an operating table an adjustment command, which is consistent with the activation command and received from the action button, for controlling the operating table in accordance with the adjustment command. 2. The method of claim 1, further comprising:
directing the activation command at a property of an operating table segment; and presenting on the touch screen, in response to the directing step, an adjustment icon in an activated state for a property of an operating table segment and/or an adjustment instruction for a property of an operating table segment, said operating table segment being at least one of the following: an operating table top, at least one lamp for an operating table, and at least one camera for an operating table. 3. The method of claim 1, further comprising presenting on the touch screen from at least one perspective an operating table top intended to be controlled graphically, as well as at least one adjustment icon and/or an action icon for a property of the operating table top. 4. The method of claim 1 further comprising presenting at least one current setting for a property of an activated operating table segment and/or an additional focus icon for the property. 5. The method of claim 2 further comprising receiving by way of the portable device's action buttons an adjustment command for a property of an operating table segment activated with an activation command, wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 6. The method of claim 1 further comprising presenting on a touch screen graphically the effect of an adjustment command on an operating table. 7. The method of claim 1, wherein the operating table is included in an operating room unit, further comprising at least one of the following:
providing at least one lamp unit for an operating table; providing at least one camera unit for an operating table; and providing at least one monitor for an operating table. 8. A system for controlling an operating table, comprising:
an operating table; and a portable device having a touch screen, wherein the touch screen has an action button for moving an operating table or a segment thereof in any direction; the touch screen further having an operating table activation command icon; and wherein the operating table is controllable by the portable device via a wirelessly transmitted adjustment command wherein the adjustment command is consistent with the activation command inputted on the touch screen and received from the action button. 9. The system of claim 8, wherein the touch screen has an operating table segment icon further comprises at least one of the group consisting of an operating table top, at least one lamp for an operating table, and at least one camera for an operating table wherein the activation command is directed at a property of an operating table segment; and the touch screen further has an adjustment icon appearing in response to the activation command, wherein the adjustment icon is in an activated state for a property of an operating table segment and/or an adjustment instruction for a property of an operating table segment. 10. The system of claim 8, wherein the touch screen further comprises at least one of the group consisting of:
an image of least one perspective of an operating table top to be controlled graphically; at least one adjustment icon; and an action icon for a property of the operating table top. 11. The system of claim 8 wherein the touch screen further comprises at least one of the group consisting of:
at least one current setting message or icon for a property of an activated operating table segment;
and an additional focus icon for the property. 12. The system of claim 9 wherein the portable device's action buttons receive an adjustment command for a property of an operating table segment activated with an activation command, and wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 13. The system of claim 8 wherein the touch screen comprises a graphical icon, wherein the graphical icon presents the effect of an adjustment command on an operating table. 14. The system of claim 8, further comprising an operating room unit having the operating table, and further comprises at least one of the group consisting of at least one lamp unit for an operating table, at least one camera unit for an operating table, and at least one monitor for an operating table. 15. A device for controlling an operating table, comprising:
a portable device having a touch screen and an action button for moving an operating table or a segment thereof in any direction; the touch screen having an operating table activation command icon; and an operating table controlled by an adjustment command transmitted wirelessly, the adjustment command consistent with the activation command and received from the action button. 16. The device of claim 15, wherein the touch screen further comprises:
an operating table segment icon, said operating table segment icon being at least one of the following: an operating table top icon, at least one lamp icon for an operating table, and at least one camera icon for an operating table wherein the activation command is directed at a property of an operating table segment; and an adjustment icon on the touch screen in response to the activation command, in an activated state for a property of an operating table segment and/or an adjustment instruction. 17. The device of claim 15, wherein the touch screen presents at least one of the group of:
at least one view of an operating table top figure to be controlled graphically; at least one adjustment icon and/or an action icon for a property of the operating table top; a graphical representation of the effect of an adjustment command on an operating table; at least one current setting message or icon presented for a property of an activated operating table segment and/or an additional focus icon for the property. 18. The device of claim 16 wherein the portable device's touch screen's action buttons receive an adjustment command for a property of an operating table segment activated with an activation command, wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 19. The device of claim 15, further comprising an operating room unit having the operating table, and further comprises at least one of the group consisting of at least one lamp unit for an operating table, at least one camera unit for an operating table, and at least one monitor for an operating table. | According to one exemplary embodiment, the application relates to a method for controlling an operating table with a portable device by receiving an operating table activation command by way of the portable device's touch screen and transmitting an adjustment command consistent with the activation command wirelessly to an operating table for controlling the same in accordance with the adjustment command.1. A method for controlling an operating table with a portable device, the portable device having a touch screen and an action button for moving an operating table or a segment thereof in any direction, comprising:
receiving an operating table activation command by way of the portable device's touch screen; and transmitting wirelessly to an operating table an adjustment command, which is consistent with the activation command and received from the action button, for controlling the operating table in accordance with the adjustment command. 2. The method of claim 1, further comprising:
directing the activation command at a property of an operating table segment; and presenting on the touch screen, in response to the directing step, an adjustment icon in an activated state for a property of an operating table segment and/or an adjustment instruction for a property of an operating table segment, said operating table segment being at least one of the following: an operating table top, at least one lamp for an operating table, and at least one camera for an operating table. 3. The method of claim 1, further comprising presenting on the touch screen from at least one perspective an operating table top intended to be controlled graphically, as well as at least one adjustment icon and/or an action icon for a property of the operating table top. 4. The method of claim 1 further comprising presenting at least one current setting for a property of an activated operating table segment and/or an additional focus icon for the property. 5. The method of claim 2 further comprising receiving by way of the portable device's action buttons an adjustment command for a property of an operating table segment activated with an activation command, wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 6. The method of claim 1 further comprising presenting on a touch screen graphically the effect of an adjustment command on an operating table. 7. The method of claim 1, wherein the operating table is included in an operating room unit, further comprising at least one of the following:
providing at least one lamp unit for an operating table; providing at least one camera unit for an operating table; and providing at least one monitor for an operating table. 8. A system for controlling an operating table, comprising:
an operating table; and a portable device having a touch screen, wherein the touch screen has an action button for moving an operating table or a segment thereof in any direction; the touch screen further having an operating table activation command icon; and wherein the operating table is controllable by the portable device via a wirelessly transmitted adjustment command wherein the adjustment command is consistent with the activation command inputted on the touch screen and received from the action button. 9. The system of claim 8, wherein the touch screen has an operating table segment icon further comprises at least one of the group consisting of an operating table top, at least one lamp for an operating table, and at least one camera for an operating table wherein the activation command is directed at a property of an operating table segment; and the touch screen further has an adjustment icon appearing in response to the activation command, wherein the adjustment icon is in an activated state for a property of an operating table segment and/or an adjustment instruction for a property of an operating table segment. 10. The system of claim 8, wherein the touch screen further comprises at least one of the group consisting of:
an image of least one perspective of an operating table top to be controlled graphically; at least one adjustment icon; and an action icon for a property of the operating table top. 11. The system of claim 8 wherein the touch screen further comprises at least one of the group consisting of:
at least one current setting message or icon for a property of an activated operating table segment;
and an additional focus icon for the property. 12. The system of claim 9 wherein the portable device's action buttons receive an adjustment command for a property of an operating table segment activated with an activation command, and wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 13. The system of claim 8 wherein the touch screen comprises a graphical icon, wherein the graphical icon presents the effect of an adjustment command on an operating table. 14. The system of claim 8, further comprising an operating room unit having the operating table, and further comprises at least one of the group consisting of at least one lamp unit for an operating table, at least one camera unit for an operating table, and at least one monitor for an operating table. 15. A device for controlling an operating table, comprising:
a portable device having a touch screen and an action button for moving an operating table or a segment thereof in any direction; the touch screen having an operating table activation command icon; and an operating table controlled by an adjustment command transmitted wirelessly, the adjustment command consistent with the activation command and received from the action button. 16. The device of claim 15, wherein the touch screen further comprises:
an operating table segment icon, said operating table segment icon being at least one of the following: an operating table top icon, at least one lamp icon for an operating table, and at least one camera icon for an operating table wherein the activation command is directed at a property of an operating table segment; and an adjustment icon on the touch screen in response to the activation command, in an activated state for a property of an operating table segment and/or an adjustment instruction. 17. The device of claim 15, wherein the touch screen presents at least one of the group of:
at least one view of an operating table top figure to be controlled graphically; at least one adjustment icon and/or an action icon for a property of the operating table top; a graphical representation of the effect of an adjustment command on an operating table; at least one current setting message or icon presented for a property of an activated operating table segment and/or an additional focus icon for the property. 18. The device of claim 16 wherein the portable device's touch screen's action buttons receive an adjustment command for a property of an operating table segment activated with an activation command, wherein the activated adjustment icon for a property of an operating table segment presents an instruction for the adjustment effected with the action buttons. 19. The device of claim 15, further comprising an operating room unit having the operating table, and further comprises at least one of the group consisting of at least one lamp unit for an operating table, at least one camera unit for an operating table, and at least one monitor for an operating table. | 2,100 |
4,892 | 12,761,666 | 2,141 | Technologies pertaining to the creation of personalized data for an individual, including personalized data based on a social networking participant's social networking data, entity extraction, and automatic collage generation are described herein.
In one implementation, the personalized data is used to provide a personalized, social-based replacement for a default UI element.
In one implementation, a disambiguated named entity is extracted from user generated content in a social networking application, a socially interesting photomontage is automatically generated based on photographs from a social networking application, and the photomontage is rendered with hotspots containing socially relevant annotations. | 1. Computer readable media with device-executable instructions which, when executed by a computing device, cause the computing device to perform acts without user supervision, the acts comprising:
receiving social networking data from a social networking application based on a social networking identity of a social networking participant, the social networking data comprising a first multimedia file, a second multimedia file, a first plurality of user generated content, and a second plurality of user generated content, the first multimedia file being user generated content of a first social networking identity in a first social network of the social networking participant, the second multimedia file being user generated content of a second networking identity in a second social network of the social networking participant, the first plurality of user generated content uploaded by the first social networking identity's social networks, responsive to the first multimedia file, the second plurality of user generated content uploaded by the second social networking identity's social networks, responsive to the second multimedia file; extracting a first disambiguated named entity based on the first plurality of user generated content; extracting a second disambiguated named entity based on the second plurality of user generated content, the second disambiguated named entity different from the first disambiguated named entity; extracting a first annotation phrase based on the first plurality of user generated content, the first disambiguated named entity, and a first annotation phrase parameter; extracting a second annotation phrase based on the second plurality of user generated content, the second disambiguated named entity, and a second annotation phrase parameter; selecting the first multimedia file from the social networking data based on a first social interestingness metric; selecting the second multimedia file from the social networking data based on a second social interestingness metric; generating a first hotspot based on the first annotation phrase and the first disambiguated named entity; generating a second hotspot based on the second annotation phrase and the second disambiguated named entity; and generating a collage definition based on the first multimedia file, and the second multimedia file, the first hotspot configured to be activated when a user interacts with a first area of the rendered collage, the activation of the first hotspot configured to present the first annotation phrase to the user, the second hotspot configured to be activated when the user interacts with a second area of the rendered collage, the activation of the second hotspot configured to present the second annotation phrase to the user, both the first hotspot and the second hotspot configured to be responsive to user interaction at a same time. 2. The computer-readable storage media of claim 1, wherein the extracting the first entity is based on a first type of metadata, the first type of metadata selected from the group consisting of a result of video analysis of video data portions of the first multimedia file, a result of image analysis of image data portions of the first multimedia file, textual data extracted from audio data portions of the first plurality of user generated content, a comment in the first plurality of user generated content, a capitalization hint, and a caption in the first plurality of user generated content. 3. The computer-readable media of claim 1, further comprising:
determining, responsive to a request from the social networking identity for a user interface, an image data locator for the collage, the collage definition being a photomontage; personalizing the user interface to displace a default image image data locator with the image data locator for the photomontage; providing, responsive to the request, the personalized user interface. 4. The computer-readable storage media of claim 3, wherein:
the acts of determining an image data locator for the photomontage, personalizing the user interface, and providing the personalized user interface each occur prior to the act of generating the photomontage, the act of generating the photomontage comprising:
storing the photomontage such that the photomontage is accessible based on the image data locator,
the act of personalizing the home page comprising:
configuring the user interface to detect when the photomontage becomes available based on the image data locator; and
configuring the user interface to display the photomontage when it detects it is available based on the image data locator. 5. The computer-readable storage media of claim 1, wherein:
the first annotation includes the first annotation phrase, the first annotation includes a uniform resource identifier configured to direct the social networking identity to additional information pertaining to the first disambiguated named entity. 6. The computer-readable storage media of claim 1, wherein the automatically generating the first hotspot is based on a predetermined location of the first disambiguated named entity in the rendered collage. 7. A method comprising computing device acts, the computing device acts comprising:
extracting an entity from social networking data in response to a social network participant's request for information,
the social networking participant correlated to the social networking data, the social networking data comprising a plurality of user generated content and an indicium of a social network of the social networking participant,
the entity extraction algorithm extracting an entity based on the plurality of user generated content and the social network, the plurality of user generated content uploaded by a plurality of members of the social network; and
generating personalized data for the social network participant, based on the plurality of user generated content and the extracted entity. 8. The method of claim 7, the computing device acts further comprising:
identifying a plurality of possible annotation phrases based on the extracted entity; scoring the plurality of possible annotation phrases based on an annotation phrase parameter; selecting a first annotation phrase of the plurality of possible annotation phrases based on the scoring,
the generating personalized data based on the first annotation phrase. 9. The method of claim 8, wherein the personalized data includes the first annotation phrase. 10. The method of claim 7, the computing device acts further comprising:
scoring a plurality of multimedia files based on a social interestingness metric; and selecting a first multimedia file of the plurality of multimedia files based on the scoring;
the generating personalized data based on the first multimedia file. 11. The method of claim 7, the computing device acts further comprising:
identifying a first annotation phrase within the social networking data, the first annotation phrase associated with a first multimedia file of the social data and the extracted entity, generating a hotspot definition, the hotspot definition comprising a social-based annotation, the social-based annotation configured to display the first annotation phrase,
the generating personalized data based on the hotspot definition. 12. The method of claim 11, the identifying a first annotation phrase comprising:
ranking possible annotation phrases from the plurality of user generated content in the social data based on at least one of the following annotation phrase parameters: an amount of time that has passed since the user generated content was uploaded; a difference between the first user generated content and one or more of the remaining user generated content in the social networking data; whether the social network participant has previously read the user generated content; an amount of time since the social network participant has read the user generated content; explicit feedback provided on the first user generated content by the social network participant; relevancy of the user generated content to the extracted entity; and a social networking identity of the uploader of the user generated content. 13. The method of claim 7, the computing device acts further comprising:
selecting a portion of a multimedia file of the social networking data, the portion of the multimedia file associated with the extracted entity; generating a collage definition based on the portion of the multimedia file associated with the extracted entity, the collage definition configured to render the portion of the multimedia file. 14. The method of claim 7, the computing device acts further comprising:
identifying a first annotation phrase, the first annotation phrase associated with a first portion of a multimedia file and the extracted entity; identifying a second annotation phrase from an external data source, the second annotation phrase associated with the extracted entity; and generating a hotspot, the hotspot comprising a first annotation and a second annotation, the first annotation comprising the first annotation phrase, the second annotation comprising the second annotation phrase. 15. The method of claim 14, wherein the second annotation comprises a hyperlink pointing to a manufacturer of a product, the product associated with the entity. 16. The method of claim 7, wherein the entity is based on a status message update made by a first member of the plurality of members of the social network. 17. The method of claim 7, wherein:
the user generated content comprises a plurality of multimedia files uploaded by the plurality of members of the social network, the personalized data comprises a collage definition, and the collage definition is based on the plurality of multimedia files. 18. The method of claim 7, wherein:
the personalized data comprises a collage definition, the collage definition is configured to render at least a portion of an image to act as a hyperlink, the image is generated by a member of the social network, the entity extraction algorithm extracts the entity based on the image, the request for information includes a request for the image, and the hyperlink is configured to direct the social network participant to a site pertaining to the entity. 19. A system comprising the following device-executable components:
an extractor component that extracts a named entity from a plurality user generated content, the plurality of user generated content generated by a plurality of social network members in a first social networking identity's social network; an annotation phrase identifier component that identifies an annotation phrase based on an annotation phrase parameter, the annotation phrase parameter based on at least one of the social network, the plurality of user generated content, the named entity, or the relationship between at least two of the plurality of user generated content; and a hotspot generator component that generates a hotspot definition based on the extracted entity and the annotation phrase, the hotspot definition configured to render the annotation phrase. 20. The system of claim 19, further comprising:
an image selector component that selects a multimedia file based on a corresponding social interestingness metric; and a collage generator component that generates a collage definition for rendering a collage, the collage definition based on the selected multimedia file,
wherein the hotspot definition is configured to render a hotspot in a location associated with the rendering of the selected multimedia file in the rendered collage. | Technologies pertaining to the creation of personalized data for an individual, including personalized data based on a social networking participant's social networking data, entity extraction, and automatic collage generation are described herein.
In one implementation, the personalized data is used to provide a personalized, social-based replacement for a default UI element.
In one implementation, a disambiguated named entity is extracted from user generated content in a social networking application, a socially interesting photomontage is automatically generated based on photographs from a social networking application, and the photomontage is rendered with hotspots containing socially relevant annotations.1. Computer readable media with device-executable instructions which, when executed by a computing device, cause the computing device to perform acts without user supervision, the acts comprising:
receiving social networking data from a social networking application based on a social networking identity of a social networking participant, the social networking data comprising a first multimedia file, a second multimedia file, a first plurality of user generated content, and a second plurality of user generated content, the first multimedia file being user generated content of a first social networking identity in a first social network of the social networking participant, the second multimedia file being user generated content of a second networking identity in a second social network of the social networking participant, the first plurality of user generated content uploaded by the first social networking identity's social networks, responsive to the first multimedia file, the second plurality of user generated content uploaded by the second social networking identity's social networks, responsive to the second multimedia file; extracting a first disambiguated named entity based on the first plurality of user generated content; extracting a second disambiguated named entity based on the second plurality of user generated content, the second disambiguated named entity different from the first disambiguated named entity; extracting a first annotation phrase based on the first plurality of user generated content, the first disambiguated named entity, and a first annotation phrase parameter; extracting a second annotation phrase based on the second plurality of user generated content, the second disambiguated named entity, and a second annotation phrase parameter; selecting the first multimedia file from the social networking data based on a first social interestingness metric; selecting the second multimedia file from the social networking data based on a second social interestingness metric; generating a first hotspot based on the first annotation phrase and the first disambiguated named entity; generating a second hotspot based on the second annotation phrase and the second disambiguated named entity; and generating a collage definition based on the first multimedia file, and the second multimedia file, the first hotspot configured to be activated when a user interacts with a first area of the rendered collage, the activation of the first hotspot configured to present the first annotation phrase to the user, the second hotspot configured to be activated when the user interacts with a second area of the rendered collage, the activation of the second hotspot configured to present the second annotation phrase to the user, both the first hotspot and the second hotspot configured to be responsive to user interaction at a same time. 2. The computer-readable storage media of claim 1, wherein the extracting the first entity is based on a first type of metadata, the first type of metadata selected from the group consisting of a result of video analysis of video data portions of the first multimedia file, a result of image analysis of image data portions of the first multimedia file, textual data extracted from audio data portions of the first plurality of user generated content, a comment in the first plurality of user generated content, a capitalization hint, and a caption in the first plurality of user generated content. 3. The computer-readable media of claim 1, further comprising:
determining, responsive to a request from the social networking identity for a user interface, an image data locator for the collage, the collage definition being a photomontage; personalizing the user interface to displace a default image image data locator with the image data locator for the photomontage; providing, responsive to the request, the personalized user interface. 4. The computer-readable storage media of claim 3, wherein:
the acts of determining an image data locator for the photomontage, personalizing the user interface, and providing the personalized user interface each occur prior to the act of generating the photomontage, the act of generating the photomontage comprising:
storing the photomontage such that the photomontage is accessible based on the image data locator,
the act of personalizing the home page comprising:
configuring the user interface to detect when the photomontage becomes available based on the image data locator; and
configuring the user interface to display the photomontage when it detects it is available based on the image data locator. 5. The computer-readable storage media of claim 1, wherein:
the first annotation includes the first annotation phrase, the first annotation includes a uniform resource identifier configured to direct the social networking identity to additional information pertaining to the first disambiguated named entity. 6. The computer-readable storage media of claim 1, wherein the automatically generating the first hotspot is based on a predetermined location of the first disambiguated named entity in the rendered collage. 7. A method comprising computing device acts, the computing device acts comprising:
extracting an entity from social networking data in response to a social network participant's request for information,
the social networking participant correlated to the social networking data, the social networking data comprising a plurality of user generated content and an indicium of a social network of the social networking participant,
the entity extraction algorithm extracting an entity based on the plurality of user generated content and the social network, the plurality of user generated content uploaded by a plurality of members of the social network; and
generating personalized data for the social network participant, based on the plurality of user generated content and the extracted entity. 8. The method of claim 7, the computing device acts further comprising:
identifying a plurality of possible annotation phrases based on the extracted entity; scoring the plurality of possible annotation phrases based on an annotation phrase parameter; selecting a first annotation phrase of the plurality of possible annotation phrases based on the scoring,
the generating personalized data based on the first annotation phrase. 9. The method of claim 8, wherein the personalized data includes the first annotation phrase. 10. The method of claim 7, the computing device acts further comprising:
scoring a plurality of multimedia files based on a social interestingness metric; and selecting a first multimedia file of the plurality of multimedia files based on the scoring;
the generating personalized data based on the first multimedia file. 11. The method of claim 7, the computing device acts further comprising:
identifying a first annotation phrase within the social networking data, the first annotation phrase associated with a first multimedia file of the social data and the extracted entity, generating a hotspot definition, the hotspot definition comprising a social-based annotation, the social-based annotation configured to display the first annotation phrase,
the generating personalized data based on the hotspot definition. 12. The method of claim 11, the identifying a first annotation phrase comprising:
ranking possible annotation phrases from the plurality of user generated content in the social data based on at least one of the following annotation phrase parameters: an amount of time that has passed since the user generated content was uploaded; a difference between the first user generated content and one or more of the remaining user generated content in the social networking data; whether the social network participant has previously read the user generated content; an amount of time since the social network participant has read the user generated content; explicit feedback provided on the first user generated content by the social network participant; relevancy of the user generated content to the extracted entity; and a social networking identity of the uploader of the user generated content. 13. The method of claim 7, the computing device acts further comprising:
selecting a portion of a multimedia file of the social networking data, the portion of the multimedia file associated with the extracted entity; generating a collage definition based on the portion of the multimedia file associated with the extracted entity, the collage definition configured to render the portion of the multimedia file. 14. The method of claim 7, the computing device acts further comprising:
identifying a first annotation phrase, the first annotation phrase associated with a first portion of a multimedia file and the extracted entity; identifying a second annotation phrase from an external data source, the second annotation phrase associated with the extracted entity; and generating a hotspot, the hotspot comprising a first annotation and a second annotation, the first annotation comprising the first annotation phrase, the second annotation comprising the second annotation phrase. 15. The method of claim 14, wherein the second annotation comprises a hyperlink pointing to a manufacturer of a product, the product associated with the entity. 16. The method of claim 7, wherein the entity is based on a status message update made by a first member of the plurality of members of the social network. 17. The method of claim 7, wherein:
the user generated content comprises a plurality of multimedia files uploaded by the plurality of members of the social network, the personalized data comprises a collage definition, and the collage definition is based on the plurality of multimedia files. 18. The method of claim 7, wherein:
the personalized data comprises a collage definition, the collage definition is configured to render at least a portion of an image to act as a hyperlink, the image is generated by a member of the social network, the entity extraction algorithm extracts the entity based on the image, the request for information includes a request for the image, and the hyperlink is configured to direct the social network participant to a site pertaining to the entity. 19. A system comprising the following device-executable components:
an extractor component that extracts a named entity from a plurality user generated content, the plurality of user generated content generated by a plurality of social network members in a first social networking identity's social network; an annotation phrase identifier component that identifies an annotation phrase based on an annotation phrase parameter, the annotation phrase parameter based on at least one of the social network, the plurality of user generated content, the named entity, or the relationship between at least two of the plurality of user generated content; and a hotspot generator component that generates a hotspot definition based on the extracted entity and the annotation phrase, the hotspot definition configured to render the annotation phrase. 20. The system of claim 19, further comprising:
an image selector component that selects a multimedia file based on a corresponding social interestingness metric; and a collage generator component that generates a collage definition for rendering a collage, the collage definition based on the selected multimedia file,
wherein the hotspot definition is configured to render a hotspot in a location associated with the rendering of the selected multimedia file in the rendered collage. | 2,100 |
4,893 | 13,176,236 | 2,129 | A system and methods for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system is disclosed. A plurality of system entities of a federated service system are identified, and each of the system entities is classified to provide a plurality of entity classifications. A plurality of inter-entity relationships of the system entities are identified, and each of the inter-entity relationships is classified as a primitive model to provide a plurality of inter-entity relationship classifications. A composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications is generated. | 1. A method for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system, the method comprising:
identifying a plurality of system entities of a federated service system; classifying each of the system entities to provide a plurality of entity classifications; identifying a plurality of inter-entity relationships of the system entities; classifying each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and generating a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 2. The method according to claim 1, wherein the entity classifications comprise one of: a service, a host and a network segment. 3. The method according to claim 1, wherein the inter-entity relationship classifications comprise at least one member selected from the group consisting of: a service usage functional relationship, a service usage temporal relationship, a hosting relationship, and a connection relationship. 4. The method according to claim 1, further comprising recursively applying one or more primitive models to the federated service system to provide the composite model. 5. The method according to claim 4, further comprising recursively decomposing the composite model into a composite model graph comprising the one or more primitive models and representing the federated service system. 6. The method according to claim 5, further comprising:
defining a workload model for at least one federated service of the federated service system, wherein a root of the composite model graph represents a starting point of a workload imposed on the at least one federated service by at least one end user; and decomposing the workload recursively from a parent node to at least one child node. 7. The method according to claim 1, further comprising calculating QoS characteristics by applying an evaluation and derivation method to the composite model. 8. The method according to claim 7, further comprising reporting the QoS characteristics of the composite model. 9. The method according to claim 1, further comprising representing the composite model in XML based on a primitive model XML schema specification to provide an XML composite model. 10. A Quality of Service (QoS) characteristics modeling and analysis system for federated cloud services, the system comprising:
a system entity identification module operable to identify a plurality of system entities of a federated service system; an inter-entity relationship identification module operable to identify a plurality of inter-entity relationships of the system entities; a classification module operable to:
classify each of the system entities to provide a plurality of entity classifications; and
classify each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and
a compositing module operable to generate a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 11. The system according to claim 10, wherein the entity classifications comprise one of: a service, a host and a network segment. 12. The system according to claim 10, wherein the inter-entity relationships comprise at least one member selected from the group consisting of: a service usage functional relationship, a service usage temporal relationship, a hosting relationship, and a connection relationship. 13. The system according to claim 10, further comprising an evaluation and derivation module operable to evaluate and derive QoS characteristics of the composite model. 14. The system according to claim 10, wherein the compositing module is further operable to represent the composite model in XML based on a primitive model XML schema specification to provide an XML composite model. 15. The system according to claim 10, wherein the compositing module is further operable to recursively apply one or more primitive models to generate the composite model. 16. The system according to claim 15, wherein the compositing module is further operable to recursively decompose the composite model into a composite model graph comprising the primitive models and representing the federated service system. 17. The system according to claim 16, wherein the compositing module is further operable to:
define a workload model for the federated service system, wherein a root of the composite model graph represents a starting point of a workload imposed on the federated service system by an end user; and decompose the workload recursively from a parent node to a child node. 18. A computer readable storage medium comprising computer-executable instructions for performing a method for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system, the method executed by computer-executable instructions comprising:
identifying a plurality of system entities of a federated service system; classifying each of the system entities to provide a plurality of entity classifications; identifying a plurality of inter-entity relationships of the system entities; classifying each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and generating a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 19. The computer readable storage medium according to claim 18, further comprising computer-executable instructions comprising recursively applying one or more primitive models to provide the composite model. 20. The computer readable storage medium according to claim 18, further comprising computer-executable instructions comprising calculating QoS characteristics by applying an evaluation and derivation method to the composite model. | A system and methods for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system is disclosed. A plurality of system entities of a federated service system are identified, and each of the system entities is classified to provide a plurality of entity classifications. A plurality of inter-entity relationships of the system entities are identified, and each of the inter-entity relationships is classified as a primitive model to provide a plurality of inter-entity relationship classifications. A composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications is generated.1. A method for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system, the method comprising:
identifying a plurality of system entities of a federated service system; classifying each of the system entities to provide a plurality of entity classifications; identifying a plurality of inter-entity relationships of the system entities; classifying each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and generating a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 2. The method according to claim 1, wherein the entity classifications comprise one of: a service, a host and a network segment. 3. The method according to claim 1, wherein the inter-entity relationship classifications comprise at least one member selected from the group consisting of: a service usage functional relationship, a service usage temporal relationship, a hosting relationship, and a connection relationship. 4. The method according to claim 1, further comprising recursively applying one or more primitive models to the federated service system to provide the composite model. 5. The method according to claim 4, further comprising recursively decomposing the composite model into a composite model graph comprising the one or more primitive models and representing the federated service system. 6. The method according to claim 5, further comprising:
defining a workload model for at least one federated service of the federated service system, wherein a root of the composite model graph represents a starting point of a workload imposed on the at least one federated service by at least one end user; and decomposing the workload recursively from a parent node to at least one child node. 7. The method according to claim 1, further comprising calculating QoS characteristics by applying an evaluation and derivation method to the composite model. 8. The method according to claim 7, further comprising reporting the QoS characteristics of the composite model. 9. The method according to claim 1, further comprising representing the composite model in XML based on a primitive model XML schema specification to provide an XML composite model. 10. A Quality of Service (QoS) characteristics modeling and analysis system for federated cloud services, the system comprising:
a system entity identification module operable to identify a plurality of system entities of a federated service system; an inter-entity relationship identification module operable to identify a plurality of inter-entity relationships of the system entities; a classification module operable to:
classify each of the system entities to provide a plurality of entity classifications; and
classify each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and
a compositing module operable to generate a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 11. The system according to claim 10, wherein the entity classifications comprise one of: a service, a host and a network segment. 12. The system according to claim 10, wherein the inter-entity relationships comprise at least one member selected from the group consisting of: a service usage functional relationship, a service usage temporal relationship, a hosting relationship, and a connection relationship. 13. The system according to claim 10, further comprising an evaluation and derivation module operable to evaluate and derive QoS characteristics of the composite model. 14. The system according to claim 10, wherein the compositing module is further operable to represent the composite model in XML based on a primitive model XML schema specification to provide an XML composite model. 15. The system according to claim 10, wherein the compositing module is further operable to recursively apply one or more primitive models to generate the composite model. 16. The system according to claim 15, wherein the compositing module is further operable to recursively decompose the composite model into a composite model graph comprising the primitive models and representing the federated service system. 17. The system according to claim 16, wherein the compositing module is further operable to:
define a workload model for the federated service system, wherein a root of the composite model graph represents a starting point of a workload imposed on the federated service system by an end user; and decompose the workload recursively from a parent node to a child node. 18. A computer readable storage medium comprising computer-executable instructions for performing a method for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system, the method executed by computer-executable instructions comprising:
identifying a plurality of system entities of a federated service system; classifying each of the system entities to provide a plurality of entity classifications; identifying a plurality of inter-entity relationships of the system entities; classifying each of the inter-entity relationships as a primitive model to provide a plurality of inter-entity relationship classifications; and generating a composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications. 19. The computer readable storage medium according to claim 18, further comprising computer-executable instructions comprising recursively applying one or more primitive models to provide the composite model. 20. The computer readable storage medium according to claim 18, further comprising computer-executable instructions comprising calculating QoS characteristics by applying an evaluation and derivation method to the composite model. | 2,100 |
4,894 | 13,646,587 | 2,166 | Query results are mapped onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query. A population ranking is determined for the query results such that the query results are mapped onto the domains in accordance with query-click behavior collected from a user population for the current search query. A user ranking is then determined for the query results such that the query results are mapped onto the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query. Lastly, a merged ranking of the query results is generated according to the population ranking and the user ranking | 1. A computer method of processing, the method comprising:
mapping query results onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query; determining a population ranking of the domains onto which the query results are mapped in accordance with query-click behavior collected from a user population for the current search query; determining a user ranking of the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query; generating a merged ranking of the query results according to the population ranking and the user ranking. 2. The computer method according to claim 1, wherein the merged ranking comprises a merged score for each of the domains onto which the query results are mapped, and generating the merged ranking comprises providing the query results in an ordering according to the merged scores of the domains. 3. The computer method according to claim 1, wherein the current search query comprises one or more words, and the query results comprise database records identified by the search engine in response to at least one word of the current search query. 4. The computer method according to claim 1, wherein generating a merged ranking comprises generating a merged ranking such that no domain ranking in the merged ranking is different from its ranking in the population ranking by more than a predetermined ranking difference. 5. The computer method according to claim 1, wherein collecting query-click behavior from a user population comprises:
creating a query-click message in response to selection of a database record from among a listing of database records in query results by a member of the user population, wherein the query-click message identifies the domain onto which the selected database record is mapped; maintaining a list of the query-click messages according to the domains on which the respective query-click messages are mapped; generating statistics on the list of query-click messages that indicate query-click behavior of the user population. 6. A computer processing system comprising:
a query results mapper that maps query results onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query; a population ranking processor that determines a population ranking of the domains onto which the query results are mapped in accordance with query-click behavior collected from a user population for the current search query; a user ranking processor that determines a user ranking of the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query; and a score processor that generates a merged ranking of the query results according to the population ranking and the user ranking 7. The system as in claim 6, wherein the score processor generates a merged score for each of the domains onto which the query results are mapped, and provides the query results in an ordering according to the merged scores of the domains. 8. The system as in claim 6, wherein the current search query comprises one or more words, and the query results comprise database records identified by the search engine in response to at least one word of the current search query. 9. The system as in claim 6, wherein the score processor generates a merged ranking such that no domain ranking in the merged ranking is different from its ranking in the population ranking by more than a predetermined ranking difference. 10. The system as in claim 6, wherein the population ranking processor creates a query-click message in response to selection of a database record from among a listing of database records in query results by a member of the user population, wherein the query-click message identifies the domain onto which the selected database record is mapped, maintain a list of the query-click messages according to the domains on which the respective query-click messages are mapped, and generates statistics on the list of query-click messages that indicate query-click behavior of the user population. 11. A computer method of processing, the method comprising:
computing a click query probability “p(click|query)” at a ranking system computer, wherein the click query probability defines, for each domain represented in search query results, probability of a click on a result in the domain given a current search query, wherein each domain is a domain of a predetermined set of conceptual domains; computing a ranking of the domains represented in the search query results according to the computed click query probabilities; computing a click user probability “p(click|user)” for each domain represented in the search query results, the click user probability comprising probability of a click on a result in each domain given a current user; computing a ranking of the domains by click user probability “p(click|user)”; computing a merged score “ms” that combines a ranking of the domain, the ranking of the domain by click query probability “p(click|query)”, and the ranking of the domain by click user probability “p(click|user)”; computing a final ranking of the domains represented in the search query results from a highest “ms” computed score to a lowest “ms” computed score. 12. The computer method according to claim 11, wherein the click query probability for a query is defined as:
p(click|query)=s+no. of clicks on results from the query in the domain/no. of domains*s+no. of clicks on results from the query in all domains,
where s=a predetermined smoothing count. 13. The computer method according to claim 11, wherein the click user probability for a user is defined as:
p(click|user)=s+no. of clicks by the user on results in the domain/no. of domains*s+no. of clicks by the current user on results in all domains,
where s=a predetermined smoothing count. 14. The computer method according to claim 11, wherein the merged score ms is defined as:
ms=1/(ro+1)+wrq/(rq+1)+wru/(ru+1), wherein: ro=original ranking of search results on conceptual domains rq=rank by p(click|query) ru=rank by p(click|user) wrq=heuristic weight of rq in final rank wru=heuristic weight of ru in final rank. | Query results are mapped onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query. A population ranking is determined for the query results such that the query results are mapped onto the domains in accordance with query-click behavior collected from a user population for the current search query. A user ranking is then determined for the query results such that the query results are mapped onto the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query. Lastly, a merged ranking of the query results is generated according to the population ranking and the user ranking1. A computer method of processing, the method comprising:
mapping query results onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query; determining a population ranking of the domains onto which the query results are mapped in accordance with query-click behavior collected from a user population for the current search query; determining a user ranking of the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query; generating a merged ranking of the query results according to the population ranking and the user ranking. 2. The computer method according to claim 1, wherein the merged ranking comprises a merged score for each of the domains onto which the query results are mapped, and generating the merged ranking comprises providing the query results in an ordering according to the merged scores of the domains. 3. The computer method according to claim 1, wherein the current search query comprises one or more words, and the query results comprise database records identified by the search engine in response to at least one word of the current search query. 4. The computer method according to claim 1, wherein generating a merged ranking comprises generating a merged ranking such that no domain ranking in the merged ranking is different from its ranking in the population ranking by more than a predetermined ranking difference. 5. The computer method according to claim 1, wherein collecting query-click behavior from a user population comprises:
creating a query-click message in response to selection of a database record from among a listing of database records in query results by a member of the user population, wherein the query-click message identifies the domain onto which the selected database record is mapped; maintaining a list of the query-click messages according to the domains on which the respective query-click messages are mapped; generating statistics on the list of query-click messages that indicate query-click behavior of the user population. 6. A computer processing system comprising:
a query results mapper that maps query results onto domains comprising a plurality of predetermined conceptual groupings wherein the query results comprise database records identified by a search engine in response to a current search query; a population ranking processor that determines a population ranking of the domains onto which the query results are mapped in accordance with query-click behavior collected from a user population for the current search query; a user ranking processor that determines a user ranking of the domains in accordance with query-click behavior collected from the user for prior search queries not including the current search query; and a score processor that generates a merged ranking of the query results according to the population ranking and the user ranking 7. The system as in claim 6, wherein the score processor generates a merged score for each of the domains onto which the query results are mapped, and provides the query results in an ordering according to the merged scores of the domains. 8. The system as in claim 6, wherein the current search query comprises one or more words, and the query results comprise database records identified by the search engine in response to at least one word of the current search query. 9. The system as in claim 6, wherein the score processor generates a merged ranking such that no domain ranking in the merged ranking is different from its ranking in the population ranking by more than a predetermined ranking difference. 10. The system as in claim 6, wherein the population ranking processor creates a query-click message in response to selection of a database record from among a listing of database records in query results by a member of the user population, wherein the query-click message identifies the domain onto which the selected database record is mapped, maintain a list of the query-click messages according to the domains on which the respective query-click messages are mapped, and generates statistics on the list of query-click messages that indicate query-click behavior of the user population. 11. A computer method of processing, the method comprising:
computing a click query probability “p(click|query)” at a ranking system computer, wherein the click query probability defines, for each domain represented in search query results, probability of a click on a result in the domain given a current search query, wherein each domain is a domain of a predetermined set of conceptual domains; computing a ranking of the domains represented in the search query results according to the computed click query probabilities; computing a click user probability “p(click|user)” for each domain represented in the search query results, the click user probability comprising probability of a click on a result in each domain given a current user; computing a ranking of the domains by click user probability “p(click|user)”; computing a merged score “ms” that combines a ranking of the domain, the ranking of the domain by click query probability “p(click|query)”, and the ranking of the domain by click user probability “p(click|user)”; computing a final ranking of the domains represented in the search query results from a highest “ms” computed score to a lowest “ms” computed score. 12. The computer method according to claim 11, wherein the click query probability for a query is defined as:
p(click|query)=s+no. of clicks on results from the query in the domain/no. of domains*s+no. of clicks on results from the query in all domains,
where s=a predetermined smoothing count. 13. The computer method according to claim 11, wherein the click user probability for a user is defined as:
p(click|user)=s+no. of clicks by the user on results in the domain/no. of domains*s+no. of clicks by the current user on results in all domains,
where s=a predetermined smoothing count. 14. The computer method according to claim 11, wherein the merged score ms is defined as:
ms=1/(ro+1)+wrq/(rq+1)+wru/(ru+1), wherein: ro=original ranking of search results on conceptual domains rq=rank by p(click|query) ru=rank by p(click|user) wrq=heuristic weight of rq in final rank wru=heuristic weight of ru in final rank. | 2,100 |
4,895 | 12,345,084 | 2,127 | Systems, methods, and computer-readable storage media are described for modeling the requirements of software to generate test requirements. In one exemplary embodiment, a computer-implemented method comprises generating a model of the requirements using a tree graph model, identifying primary paths of the tree graph model using an algorithm, and creating test cases based on the identified primary paths. | 1. A computer-implemented method of modeling the requirements of software to generate test requirements, the method comprising the following steps performed using a processor:
generating a model of the requirements using a tree graph model; identifying primary paths of the tree graph model using an algorithm; and creating test cases based on the identified primary paths. 2. The computer-implemented method of claim 1, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 3. The computer-implemented method of claim 1, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 4. The computer-implemented method of claim 1, wherein a node of the tree graph model represents a transaction flow of a use case. 5. The computer-implemented method of claim 4, wherein a first branch of the tree graph model represents a step of the transaction flow. 6. The computer-implemented method of claim 5, wherein a second branch of the tree graph model represents a verification point. 7. The computer-implemented method of claim 1, wherein the tree graph model is a directed acyclic graph. 8. A computer-readable medium containing instructions for performing, when executed by a processor, a method of modeling the requirements of software to generate test requirements, the method comprising:
generating a model of the requirements using a tree graph model; identifying primary paths of the tree graph model using an algorithm; and creating test cases based on the identified primary paths. 9. The computer-readable medium of claim 8, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 10. The computer-readable medium of claim 8, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 11. The computer-readable medium of claim 8, wherein a node of the tree graph model represents a transaction flow of a use case. 12. The computer-readable medium of claim 10, wherein a first branch of the tree graph model represents a step of the transaction flow. 13. The computer-readable medium of claim 12, wherein a second branch of the tree graph model represents a verification point. 14. The computer-readable medium of claim 8, wherein the tree graph model is a directed acyclic graph. 15. A system for modeling the requirements of software to generate test requirements, the system comprising:
a memory having program instructions; and a processor executing the program instructions to perform operations comprising:
generating a model of the requirements using a tree graph model;
identifying primary paths of the tree graph model using an algorithm; and
creating test cases based on the identified primary paths. 16. The system of claim 15, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 17. The system of claim 15, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 18. The system of claim 15, wherein a node of the tree graph model represents a transaction flow of a use case. 19. The system of claim 18, wherein a branch of the tree graph model represents a step of the transaction flow. 20. The system of claim 15, wherein the tree graph model is a directed acyclic graph. | Systems, methods, and computer-readable storage media are described for modeling the requirements of software to generate test requirements. In one exemplary embodiment, a computer-implemented method comprises generating a model of the requirements using a tree graph model, identifying primary paths of the tree graph model using an algorithm, and creating test cases based on the identified primary paths.1. A computer-implemented method of modeling the requirements of software to generate test requirements, the method comprising the following steps performed using a processor:
generating a model of the requirements using a tree graph model; identifying primary paths of the tree graph model using an algorithm; and creating test cases based on the identified primary paths. 2. The computer-implemented method of claim 1, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 3. The computer-implemented method of claim 1, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 4. The computer-implemented method of claim 1, wherein a node of the tree graph model represents a transaction flow of a use case. 5. The computer-implemented method of claim 4, wherein a first branch of the tree graph model represents a step of the transaction flow. 6. The computer-implemented method of claim 5, wherein a second branch of the tree graph model represents a verification point. 7. The computer-implemented method of claim 1, wherein the tree graph model is a directed acyclic graph. 8. A computer-readable medium containing instructions for performing, when executed by a processor, a method of modeling the requirements of software to generate test requirements, the method comprising:
generating a model of the requirements using a tree graph model; identifying primary paths of the tree graph model using an algorithm; and creating test cases based on the identified primary paths. 9. The computer-readable medium of claim 8, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 10. The computer-readable medium of claim 8, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 11. The computer-readable medium of claim 8, wherein a node of the tree graph model represents a transaction flow of a use case. 12. The computer-readable medium of claim 10, wherein a first branch of the tree graph model represents a step of the transaction flow. 13. The computer-readable medium of claim 12, wherein a second branch of the tree graph model represents a verification point. 14. The computer-readable medium of claim 8, wherein the tree graph model is a directed acyclic graph. 15. A system for modeling the requirements of software to generate test requirements, the system comprising:
a memory having program instructions; and a processor executing the program instructions to perform operations comprising:
generating a model of the requirements using a tree graph model;
identifying primary paths of the tree graph model using an algorithm; and
creating test cases based on the identified primary paths. 16. The system of claim 15, wherein the requirements comprise one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 17. The system of claim 15, wherein the model is generated by abstracting implementation details contained in one or more of a logical expression, a use case, a program structure, a sequence of events, and a sequence of actions. 18. The system of claim 15, wherein a node of the tree graph model represents a transaction flow of a use case. 19. The system of claim 18, wherein a branch of the tree graph model represents a step of the transaction flow. 20. The system of claim 15, wherein the tree graph model is a directed acyclic graph. | 2,100 |
4,896 | 13,745,249 | 2,119 | A method, system and software are presented for making a trackable mount for assisting with surgery within a surgical site, the trackable mount being trackable by a tracker disposed to obtain image information of the surgical site. A software model of the trackable mount is created based on scan data of the surgical site, and the making of the trackable mount is based on model data derived from the software model. The exterior shape of the trackable mount may incorporate a tracking marker, or tracking pole, or both. A system for executing the method consists of scan data of the surgical site, a controller with memory and processor, and a manufacturing device. In one embodiment the manufacturing device is a rapid prototyping machine. Software is presented for executing the method of the invention. | 1. A method for making a trackable mount for assisting with surgery within a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information from the surgical site, the method comprising
creating a software model of the trackable mount based on scan data of the surgical site; and making the trackable mount based on the software model. 2. The method of claim 1 wherein the step of creating the software model comprises:
obtaining the scan data;
determining a suitable location for the trackable mount from the scan data; and
establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 3. The method of claim 2 wherein the establishing step includes establishing the exterior shape of the trackable mount to comprise at least one of a tracking pole, and a tracking marker configured and arranged to be visible to the tracker. 4. The method of claim 2 wherein the step of establishing the model exterior shape of the trackable mount comprises confirming that the model exterior shape allows the trackable mount to be usefully trackable by the tracker; and confirming that the model exterior shape allows the trackable mount to be stably mountable at the location. 5. The method of claim 4 wherein the step of confirming that the model exterior shape allows the trackable mount to be usefully trackable comprises confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker. 6. The method of claim 5 wherein the step of confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker comprises attaching a tracking pole to the trackable mount; and attaching the tracking marker to the tracking pole. 7. The method of claim 4 wherein the step of confirming that the model exterior shape allows the trackable mount to be stably mountable at the location comprises confirming that the model exterior shape allows the trackable mount to be reproducibly mountable at the location. 8. The method of claim 2 wherein the step of establishing the model exterior shape of the trackable mount comprises searching a database for a predetermined exterior shape. 9. The method of claim 2 wherein the surgical site is a dental site, the suitable location is a suitable anchor tooth proximate the surgical site, and the model exterior shape of the trackable mount is a mathematically describable three-dimensional shape enclosing the anchor tooth. 10. The method of claim 1 wherein the step of creating a software model comprises extracting the model data from the software model; and saving the model data to a digital file, the digital file having a three-dimensional digital file format. 11. The method of claim 1 further comprising providing the software model to a manufacturing device. 12. A system for making a trackable mount for mounting proximate a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information of the surgical site, the system comprising:
a controller comprising at least one processor and at least one memory, the at least one memory including scan data of the surgical site, and software configured, when executed by the at least one processor, to create a software model of a trackable mount based on the scan data; and a manufacturing device in communication with the controller and configured to manufacture an article according to the software model. 13. The system of claim 12 wherein the software further comprises a first set of executable instructions stored in the at least one memory and executable by the at least one processor, the first set of executable instructions comprising a second set of instructions for creating the software model based on the scan data; and a third set of instructions for extracting the model data from the software model, the model data configured to provide the manufacturing device with manufacturing information relating to the article according to the software model. 14. The system of claim 13 wherein the second set of instructions comprises instructions for obtaining the scan data; instructions for determining a suitable location for the trackable mount from the scan data; and instructions for establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 15. The system of claim 14 wherein the exterior shape of the trackable mount comprises at least one of a tracking pole and a tracking marker disposed to be visible to the tracker. 16. The system of claim 14 wherein the instructions for establishing the model exterior shape of the trackable mount comprise instructions for confirming that the model exterior shape allows the trackable mount to be usefully trackable by the tracker; and
instructions for confirming that the model exterior shape allows the trackable mount to be stably mountable at the location. 17. The system of claim 16 wherein the instructions for confirming that the model exterior shape allows the trackable mount to be usefully trackable comprise instructions for confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker. 18. The system of claim 14 wherein the at least one memory further comprises a database of exterior shapes for the trackable mount, and wherein the instructions for establishing the model exterior shape of the trackable mount comprise instructions for searching the database for a predetermined exterior shape. 19. The system of claim 14 wherein the second set of instructions further comprises instructions for adding to the model exterior shape for the trackable mount the shape of an attachment to the trackable mount, the attachment being at least one of a tracking marker, a tracking pole, and a locating hole for the attachment. 20. A non-transitory computer-readable storage medium encoding a first set of instructions executable by a controller, the first set of instructions comprising instructions when executed by the controller to operate a method for making a trackable mount for assisting with surgery within a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information from the surgical site, the instructions when executed by the controller creating a software model of the trackable mount based on scan data of the surgical site; and instructions when executed by a manufacturing device making the trackable mount based on the software model. 21. The storage medium of claim 20 wherein the first set of instructions comprises a second set of instructions for creating a software model of the trackable mount based on scan data of the surgical site; and a third set of instructions for making further instructions for a manufacturing device to make the trackable mount based on model data derived from the software model. 22. The storage medium of claim 21 wherein the second set of instructions comprises instructions for obtaining the scan data; instructions for determining a suitable location for the trackable mount from the scan data; and instructions for establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 23. The storage medium of claim 22 wherein the exterior shape of the trackable mount comprises at least one of a tracking pole and a tracking marker disposed to be visible to the tracker. 24. The storage medium of claim 21 wherein the third set of instructions comprises instructions for transferring the model data to a manufacturing device. | A method, system and software are presented for making a trackable mount for assisting with surgery within a surgical site, the trackable mount being trackable by a tracker disposed to obtain image information of the surgical site. A software model of the trackable mount is created based on scan data of the surgical site, and the making of the trackable mount is based on model data derived from the software model. The exterior shape of the trackable mount may incorporate a tracking marker, or tracking pole, or both. A system for executing the method consists of scan data of the surgical site, a controller with memory and processor, and a manufacturing device. In one embodiment the manufacturing device is a rapid prototyping machine. Software is presented for executing the method of the invention.1. A method for making a trackable mount for assisting with surgery within a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information from the surgical site, the method comprising
creating a software model of the trackable mount based on scan data of the surgical site; and making the trackable mount based on the software model. 2. The method of claim 1 wherein the step of creating the software model comprises:
obtaining the scan data;
determining a suitable location for the trackable mount from the scan data; and
establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 3. The method of claim 2 wherein the establishing step includes establishing the exterior shape of the trackable mount to comprise at least one of a tracking pole, and a tracking marker configured and arranged to be visible to the tracker. 4. The method of claim 2 wherein the step of establishing the model exterior shape of the trackable mount comprises confirming that the model exterior shape allows the trackable mount to be usefully trackable by the tracker; and confirming that the model exterior shape allows the trackable mount to be stably mountable at the location. 5. The method of claim 4 wherein the step of confirming that the model exterior shape allows the trackable mount to be usefully trackable comprises confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker. 6. The method of claim 5 wherein the step of confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker comprises attaching a tracking pole to the trackable mount; and attaching the tracking marker to the tracking pole. 7. The method of claim 4 wherein the step of confirming that the model exterior shape allows the trackable mount to be stably mountable at the location comprises confirming that the model exterior shape allows the trackable mount to be reproducibly mountable at the location. 8. The method of claim 2 wherein the step of establishing the model exterior shape of the trackable mount comprises searching a database for a predetermined exterior shape. 9. The method of claim 2 wherein the surgical site is a dental site, the suitable location is a suitable anchor tooth proximate the surgical site, and the model exterior shape of the trackable mount is a mathematically describable three-dimensional shape enclosing the anchor tooth. 10. The method of claim 1 wherein the step of creating a software model comprises extracting the model data from the software model; and saving the model data to a digital file, the digital file having a three-dimensional digital file format. 11. The method of claim 1 further comprising providing the software model to a manufacturing device. 12. A system for making a trackable mount for mounting proximate a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information of the surgical site, the system comprising:
a controller comprising at least one processor and at least one memory, the at least one memory including scan data of the surgical site, and software configured, when executed by the at least one processor, to create a software model of a trackable mount based on the scan data; and a manufacturing device in communication with the controller and configured to manufacture an article according to the software model. 13. The system of claim 12 wherein the software further comprises a first set of executable instructions stored in the at least one memory and executable by the at least one processor, the first set of executable instructions comprising a second set of instructions for creating the software model based on the scan data; and a third set of instructions for extracting the model data from the software model, the model data configured to provide the manufacturing device with manufacturing information relating to the article according to the software model. 14. The system of claim 13 wherein the second set of instructions comprises instructions for obtaining the scan data; instructions for determining a suitable location for the trackable mount from the scan data; and instructions for establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 15. The system of claim 14 wherein the exterior shape of the trackable mount comprises at least one of a tracking pole and a tracking marker disposed to be visible to the tracker. 16. The system of claim 14 wherein the instructions for establishing the model exterior shape of the trackable mount comprise instructions for confirming that the model exterior shape allows the trackable mount to be usefully trackable by the tracker; and
instructions for confirming that the model exterior shape allows the trackable mount to be stably mountable at the location. 17. The system of claim 16 wherein the instructions for confirming that the model exterior shape allows the trackable mount to be usefully trackable comprise instructions for confirming that the model exterior shape is configured for the attaching of a tracking marker disposed to be visible to the tracker. 18. The system of claim 14 wherein the at least one memory further comprises a database of exterior shapes for the trackable mount, and wherein the instructions for establishing the model exterior shape of the trackable mount comprise instructions for searching the database for a predetermined exterior shape. 19. The system of claim 14 wherein the second set of instructions further comprises instructions for adding to the model exterior shape for the trackable mount the shape of an attachment to the trackable mount, the attachment being at least one of a tracking marker, a tracking pole, and a locating hole for the attachment. 20. A non-transitory computer-readable storage medium encoding a first set of instructions executable by a controller, the first set of instructions comprising instructions when executed by the controller to operate a method for making a trackable mount for assisting with surgery within a surgical site, the mount being trackable by a tracker configured and arranged to obtain image information from the surgical site, the instructions when executed by the controller creating a software model of the trackable mount based on scan data of the surgical site; and instructions when executed by a manufacturing device making the trackable mount based on the software model. 21. The storage medium of claim 20 wherein the first set of instructions comprises a second set of instructions for creating a software model of the trackable mount based on scan data of the surgical site; and a third set of instructions for making further instructions for a manufacturing device to make the trackable mount based on model data derived from the software model. 22. The storage medium of claim 21 wherein the second set of instructions comprises instructions for obtaining the scan data; instructions for determining a suitable location for the trackable mount from the scan data; and instructions for establishing a model exterior shape for the trackable mount compatible with tracking of the trackable mount and with the location of the trackable mount. 23. The storage medium of claim 22 wherein the exterior shape of the trackable mount comprises at least one of a tracking pole and a tracking marker disposed to be visible to the tracker. 24. The storage medium of claim 21 wherein the third set of instructions comprises instructions for transferring the model data to a manufacturing device. | 2,100 |
4,897 | 14,105,676 | 2,195 | Methods and systems may provide for generating an activity plan for a user of a platform and generating a resource plan based on the activity plan and a current state of the platform. Additionally, one or more conflicts between the activity plan and the resource plan may be resolved. In one example, generating the activity plan includes predicting one or more of a meeting, a trip, a presentation, a media consumption session or an application usage. | 1. A platform to self-manage resources, comprising:
a plurality of resources including one or more of a battery to supply power to the platform, a display to present information, a network controller to connect the platform to a wireless network, a clock to provide timing information to the platform, an operating system to manage one or more settings of the platform or a memory to cache content; a user plan module to generate an activity plan for a user of the platform; a resource plan module to generate a resource plan based on the activity plan and a current state of the platform; and a remediation module to resolve one or more conflicts between the activity plan and the resource plan. 2. The platform of claim 1, wherein the user plan module is to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 3. The platform of claim 1, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 4. The platform of claim 1, wherein the resource plan module is to determine one or more resource needs of the platform and an availability of one or more of the plurality of resources to generate the resource plan. 5. The platform of claim 1, wherein the remediation module is to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 6. The platform of claim 5, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 7. A method of managing platform resources, comprising:
generating an activity plan for a user of a platform; generating a resource plan based on the activity plan and a current state of the platform; and resolving one or more conflicts between the activity plan and the resource plan. 8. The method of claim 7, wherein generating the activity plan includes predicting one or more of a meeting, a trip, a presentation, a media consumption session or an application usage. 9. The method of claim 7, wherein the activity plan is generated based on one or more of location information, calendar information, historical information or message information associated with the user. 10. The method of claim 7, wherein generating the resource plan includes determining one or more resource needs of the platform and an availability of one or more resources. 11. The method of claim 7, wherein resolving the one or more conflicts includes one or more of automatically implementing one or more platform changes or suggesting one or more environmental changes to the user. 12. The method of claim 11, wherein the one or more platform changes include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 13. At least one computer readable storage medium comprising a set of instructions which, if executed by a platform, cause the platform to:
generate an activity plan for a user of a platform; generate a resource plan based on the activity plan and a current state of the platform; and resolve one or more conflicts between the activity plan and the resource plan. 14. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 15. The at least one computer readable storage medium of claim 13, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 16. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to determine one or more resource needs of the platform and an availability of one or resources to generate the resource plan. 17. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 18. The at least one computer readable storage medium of claim 17, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 19. An apparatus to manage platform resources, comprising:
one or more modules to determine a user's planned activities over a future timeframe and manage the platform resources to meet one or more needs associated with the user's planned activities. 20. The apparatus of claim 19, wherein the one or more modules include:
a user plan module to generate an activity plan for the user; a resource plan module to generate a resource plan based on the activity plan and a current state of the platform; and a remediation module to resolve one or more conflicts between the activity plan and the resource plan. 21. The apparatus of claim 20, wherein the user plan module is to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 22. The apparatus of claim 20, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 23. The apparatus of claim 20, wherein the resource plan module is to determine one or more resource needs of the platform and an availability of one or more resources to generate the resource plan. 24. The apparatus of claim 20, wherein the remediation module is to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 25. The apparatus of claim 24, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. | Methods and systems may provide for generating an activity plan for a user of a platform and generating a resource plan based on the activity plan and a current state of the platform. Additionally, one or more conflicts between the activity plan and the resource plan may be resolved. In one example, generating the activity plan includes predicting one or more of a meeting, a trip, a presentation, a media consumption session or an application usage.1. A platform to self-manage resources, comprising:
a plurality of resources including one or more of a battery to supply power to the platform, a display to present information, a network controller to connect the platform to a wireless network, a clock to provide timing information to the platform, an operating system to manage one or more settings of the platform or a memory to cache content; a user plan module to generate an activity plan for a user of the platform; a resource plan module to generate a resource plan based on the activity plan and a current state of the platform; and a remediation module to resolve one or more conflicts between the activity plan and the resource plan. 2. The platform of claim 1, wherein the user plan module is to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 3. The platform of claim 1, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 4. The platform of claim 1, wherein the resource plan module is to determine one or more resource needs of the platform and an availability of one or more of the plurality of resources to generate the resource plan. 5. The platform of claim 1, wherein the remediation module is to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 6. The platform of claim 5, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 7. A method of managing platform resources, comprising:
generating an activity plan for a user of a platform; generating a resource plan based on the activity plan and a current state of the platform; and resolving one or more conflicts between the activity plan and the resource plan. 8. The method of claim 7, wherein generating the activity plan includes predicting one or more of a meeting, a trip, a presentation, a media consumption session or an application usage. 9. The method of claim 7, wherein the activity plan is generated based on one or more of location information, calendar information, historical information or message information associated with the user. 10. The method of claim 7, wherein generating the resource plan includes determining one or more resource needs of the platform and an availability of one or more resources. 11. The method of claim 7, wherein resolving the one or more conflicts includes one or more of automatically implementing one or more platform changes or suggesting one or more environmental changes to the user. 12. The method of claim 11, wherein the one or more platform changes include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 13. At least one computer readable storage medium comprising a set of instructions which, if executed by a platform, cause the platform to:
generate an activity plan for a user of a platform; generate a resource plan based on the activity plan and a current state of the platform; and resolve one or more conflicts between the activity plan and the resource plan. 14. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 15. The at least one computer readable storage medium of claim 13, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 16. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to determine one or more resource needs of the platform and an availability of one or resources to generate the resource plan. 17. The at least one computer readable storage medium of claim 13, wherein the instructions, if executed, cause the platform to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 18. The at least one computer readable storage medium of claim 17, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. 19. An apparatus to manage platform resources, comprising:
one or more modules to determine a user's planned activities over a future timeframe and manage the platform resources to meet one or more needs associated with the user's planned activities. 20. The apparatus of claim 19, wherein the one or more modules include:
a user plan module to generate an activity plan for the user; a resource plan module to generate a resource plan based on the activity plan and a current state of the platform; and a remediation module to resolve one or more conflicts between the activity plan and the resource plan. 21. The apparatus of claim 20, wherein the user plan module is to predict one or more of a meeting, a trip, a presentation, a media consumption session or an application usage to generate the activity plan. 22. The apparatus of claim 20, wherein the activity plan is to be generated based on one or more of location information, calendar information, historical information or message information associated with the user. 23. The apparatus of claim 20, wherein the resource plan module is to determine one or more resource needs of the platform and an availability of one or more resources to generate the resource plan. 24. The apparatus of claim 20, wherein the remediation module is to one or more of automatically implement one or more platform changes or suggest one or more environmental changes to the user to resolve the one or more conflicts. 25. The apparatus of claim 24, wherein the one or more platform changes are to include one or more of a charging configuration switch, a display brightness setting modification, a clock frequency setting modification, a wireless connectivity switch, an onscreen interruption setting modification, an update setting modification, a sleep state transition or a content caching setting modification. | 2,100 |
4,898 | 14,632,766 | 2,138 | Apparatus and method for managing data in a multi-device data storage system. In some embodiments, a plurality of data storage devices are provided, each data storage device having a local driver circuit adapted to transfer data with a local memory module. A main driver circuit external to the plurality of data storage devices is configured to stream frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to the respective local memory modules. | 1. An apparatus comprising:
a plurality of data storage devices each comprising a local driver circuit adapted to transfer data with a local memory module; and a main driver circuit external to the plurality of data storage devices configured to stream frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to the respective local memory modules. 2. The apparatus of claim 1, wherein the local memory modules are characterized as comprising solid state memory devices or as rotatable magnetic recording surfaces and associated data transducers adapted for alignment with tracks defined on the rotatable magnetic recording surfaces. 3. The apparatus of claim 1, wherein the local and main driver circuits are preamplifier/driver circuits. 4. The apparatus of claim 1, wherein the main driver circuit is nominally identical to each of the local driver circuits. 5. The apparatus of claim 1, wherein the main driver circuit is further configured to receive a stream of frequency modulated read data via the parallel data transfer paths from each of the respective local driver circuits to recover read data from the respective local memory modules 6. The apparatus of claim 1, further comprising control data selection logic connected via parallel control data transfer paths to each of the data storage devices to selectively transfer control data to the data storage devices associated with the streamed write data. 7. The apparatus of claim 1, wherein the main driver circuit forms a portion of a control board external to the data storage devices, the control board further comprising a read/write channel to process data stored in the local memory modules. 8. The apparatus of claim 7, wherein the control board further comprises servo control circuitry which generates servo control signals that are transferred via control data selection logic to each of the plurality of data storage devices to control position of a data transducer in each of the local memory modules. 9. The apparatus of claim 1, further comprising a data storage device selection logic circuit which supplies a data storage device selection input to the main driver circuit to select a selected one of the data storage devices, and a head selection logic circuit which supplies a data transducing head selection input to the local driver circuit to select a selected one of a plurality of data transducing heads of the selected one of the data storage devices, the main driver circuit, the data storage device selection logic circuit and the head selection logic circuit external to the data storage devices. 10. The apparatus of claim 9, wherein the data storage device selection input is supplied to a head selection input of the main preamplifier/driver circuit. 11. The apparatus of claim 1, wherein the data storage devices are disposed in a multi-device storage enclosure, and the main preamplifier/driver circuit is disposed on a control board within the storage enclosure connected to the plurality of data storage devices. 12. A multi-device storage enclosure, comprising:
a housing; a control board disposed within the housing, the control board comprising a read/write channel and a first stage preamplifier/driver circuit configured as a multi-channel data multiplexer; and a plurality of data storage devices disposed within the housing and coupled to the control board, each of the data storage devices comprising a second stage preamplifier/driver circuit configured to communicate with a plurality of movable data transducers adjacent rotatable data recording surfaces, the first stage preamplifier/driver circuit configured to stream frequency modulated write data via parallel data transfer paths to the respective second stage preamplifier/driver circuits for concurrent transfer of the frequency modulated write data to the respective data recording surfaces. 13. The storage enclosure of claim 12, wherein the first stage preamplifier/driver circuit comprises a write driver circuit to output write signals during a write operation and a read preamplifier circuit to amplify input read signals during a read operation. 14. The storage enclosure of claim 12, wherein the first stage preamplifier/driver circuit is further configured to receive a stream of frequency modulated read data via the parallel data transfer paths from each of the respective second stage preamplifier/driver circuits to recover read data from the respective data recording surfaces. 15. The storage enclosure of claim 12, wherein the control board further comprises control circuitry which generates control data associated with the transfer of the streamed write data, and control data selection logic connected via parallel control data transfer paths to each of the data storage devices to selectively transfer the control data to the data storage devices associated with the streamed write data. 16. The storage enclosure of claim 15, further comprising a command processing module which maintains a consolidated multi-device command queue of pending commands associated with the respective data storage devices and which initiates execution of each of the pending commands in the queues to sequentially transfer data between the first stage preamplifier/driver circuit and the second stage preamplifier/driver circuits. 17. The apparatus of claim 12, wherein the control board further comprises a read/write channel to process the write data streamed to the second stage preamplifier/driver circuits. 18. The apparatus of claim 12, wherein the control board further comprises fly height adjustment circuitry which generates and supplies a fly height adjustment input to a fly height adjustment module of a data transducer of a selected data transducing head of a selected data storage device receiving the write data. 19. A method comprising:
coupling a plurality of local driver circuits in a corresponding plurality of data storage devices to a main driver circuit external to the plurality of data storage devices; and streaming frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to memory modules of the data storage devices coupled to the local preamplifier/driver circuits. 20. The method of claim 19, wherein the memory modules of the data storage devices each comprise a plurality of movable data transducers adjacent corresponding rotatable data recording surfaces, the driver circuits comprise preamplifier/driver circuits affixed for movement with the data transducers, and the method further comprises:
supplying a data storage device selection input to the main driver circuit to identify a selected one of the data storage devices to which the write data are to be directed; and supplying a head selection input to the local driver circuit to identify a selected one of the data transducers of the selected one of the data storage devices, wherein the data storage device selection input and the head selection input are both generated by a control circuit external to the data storage devices. | Apparatus and method for managing data in a multi-device data storage system. In some embodiments, a plurality of data storage devices are provided, each data storage device having a local driver circuit adapted to transfer data with a local memory module. A main driver circuit external to the plurality of data storage devices is configured to stream frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to the respective local memory modules.1. An apparatus comprising:
a plurality of data storage devices each comprising a local driver circuit adapted to transfer data with a local memory module; and a main driver circuit external to the plurality of data storage devices configured to stream frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to the respective local memory modules. 2. The apparatus of claim 1, wherein the local memory modules are characterized as comprising solid state memory devices or as rotatable magnetic recording surfaces and associated data transducers adapted for alignment with tracks defined on the rotatable magnetic recording surfaces. 3. The apparatus of claim 1, wherein the local and main driver circuits are preamplifier/driver circuits. 4. The apparatus of claim 1, wherein the main driver circuit is nominally identical to each of the local driver circuits. 5. The apparatus of claim 1, wherein the main driver circuit is further configured to receive a stream of frequency modulated read data via the parallel data transfer paths from each of the respective local driver circuits to recover read data from the respective local memory modules 6. The apparatus of claim 1, further comprising control data selection logic connected via parallel control data transfer paths to each of the data storage devices to selectively transfer control data to the data storage devices associated with the streamed write data. 7. The apparatus of claim 1, wherein the main driver circuit forms a portion of a control board external to the data storage devices, the control board further comprising a read/write channel to process data stored in the local memory modules. 8. The apparatus of claim 7, wherein the control board further comprises servo control circuitry which generates servo control signals that are transferred via control data selection logic to each of the plurality of data storage devices to control position of a data transducer in each of the local memory modules. 9. The apparatus of claim 1, further comprising a data storage device selection logic circuit which supplies a data storage device selection input to the main driver circuit to select a selected one of the data storage devices, and a head selection logic circuit which supplies a data transducing head selection input to the local driver circuit to select a selected one of a plurality of data transducing heads of the selected one of the data storage devices, the main driver circuit, the data storage device selection logic circuit and the head selection logic circuit external to the data storage devices. 10. The apparatus of claim 9, wherein the data storage device selection input is supplied to a head selection input of the main preamplifier/driver circuit. 11. The apparatus of claim 1, wherein the data storage devices are disposed in a multi-device storage enclosure, and the main preamplifier/driver circuit is disposed on a control board within the storage enclosure connected to the plurality of data storage devices. 12. A multi-device storage enclosure, comprising:
a housing; a control board disposed within the housing, the control board comprising a read/write channel and a first stage preamplifier/driver circuit configured as a multi-channel data multiplexer; and a plurality of data storage devices disposed within the housing and coupled to the control board, each of the data storage devices comprising a second stage preamplifier/driver circuit configured to communicate with a plurality of movable data transducers adjacent rotatable data recording surfaces, the first stage preamplifier/driver circuit configured to stream frequency modulated write data via parallel data transfer paths to the respective second stage preamplifier/driver circuits for concurrent transfer of the frequency modulated write data to the respective data recording surfaces. 13. The storage enclosure of claim 12, wherein the first stage preamplifier/driver circuit comprises a write driver circuit to output write signals during a write operation and a read preamplifier circuit to amplify input read signals during a read operation. 14. The storage enclosure of claim 12, wherein the first stage preamplifier/driver circuit is further configured to receive a stream of frequency modulated read data via the parallel data transfer paths from each of the respective second stage preamplifier/driver circuits to recover read data from the respective data recording surfaces. 15. The storage enclosure of claim 12, wherein the control board further comprises control circuitry which generates control data associated with the transfer of the streamed write data, and control data selection logic connected via parallel control data transfer paths to each of the data storage devices to selectively transfer the control data to the data storage devices associated with the streamed write data. 16. The storage enclosure of claim 15, further comprising a command processing module which maintains a consolidated multi-device command queue of pending commands associated with the respective data storage devices and which initiates execution of each of the pending commands in the queues to sequentially transfer data between the first stage preamplifier/driver circuit and the second stage preamplifier/driver circuits. 17. The apparatus of claim 12, wherein the control board further comprises a read/write channel to process the write data streamed to the second stage preamplifier/driver circuits. 18. The apparatus of claim 12, wherein the control board further comprises fly height adjustment circuitry which generates and supplies a fly height adjustment input to a fly height adjustment module of a data transducer of a selected data transducing head of a selected data storage device receiving the write data. 19. A method comprising:
coupling a plurality of local driver circuits in a corresponding plurality of data storage devices to a main driver circuit external to the plurality of data storage devices; and streaming frequency modulated write data via parallel data transfer paths to the respective local driver circuits for concurrent transfer of the frequency modulated write data to memory modules of the data storage devices coupled to the local preamplifier/driver circuits. 20. The method of claim 19, wherein the memory modules of the data storage devices each comprise a plurality of movable data transducers adjacent corresponding rotatable data recording surfaces, the driver circuits comprise preamplifier/driver circuits affixed for movement with the data transducers, and the method further comprises:
supplying a data storage device selection input to the main driver circuit to identify a selected one of the data storage devices to which the write data are to be directed; and supplying a head selection input to the local driver circuit to identify a selected one of the data transducers of the selected one of the data storage devices, wherein the data storage device selection input and the head selection input are both generated by a control circuit external to the data storage devices. | 2,100 |
4,899 | 12,726,596 | 2,159 | Systems, methods, and other embodiments associated with graph transformation are described. One example method includes transforming a base graph into a folded graph as a function of a folding query. | 1. A computer-readable medium storing computer-executable instructions that when executed by a computer cause the computer to perform a method, the method comprising:
transforming a base graph into a folded graph as a function of a folding query, where the folding query describes an edge to add to the folded graph when a pre-specified sub-graph is detected in the base graph; and providing the folded graph. 2. The computer-readable medium of claim 1, the method comprising:
executing a base query on a stored graph to identify the base graph. 3. The computer-readable medium of claim 2, where identifying the base graph comprises creating a copy of a portion of the stored graph. 4. The computer-readable medium of claim 2, where the stored graph resides in a configuration management database, where nodes in the stored graph represent elements of an information technology (IT) infrastructure, and where edges in the graph represent relationships between the elements of the IT infrastructure. 5. The computer-readable medium of claim 2, the method comprising generating the folding query based on a folding definition that describes a desired hierarchy of an output graph. 6. The computer-readable medium of claim 5, where generating the folding query comprises:
creating nodes in the folding query for placeholder nodes found while traversing a definition tree in the folding definition; and adding edges linking nodes in the folding query based on relationships in the definition tree as a function of anchoring rules associated with placeholder nodes in the definition tree. 7. The computer-readable medium of claim 5, the method comprising receiving the base query and the folding definition from a client, where the folded graph is provided to the client, and where the client uses the folded graph to generate the output graph based, at least in part, on the folding definition. 8. The computer-readable medium of claim 5, where the output graph is a tree. 9. The computer-readable medium of claim 5, where the folded graph comprises nodes found in the base graph and edges derived from relationships between placeholder nodes in the folding definition. 10. The computer-readable medium of claim 9, where transforming the base graph into the folded graph comprises placing a directed edge in the folded graph, where the directed edge is directed from a first node in the folded graph to a second node in the folded graph, and where the directed edge is placed in response to detecting an edge connecting a third node in the base graph and a fourth node in the base graph, where the third node and the fourth node are specified by placeholder nodes in the folding definition, where the first node is associated with the third node, and where the second node is associated with the fourth node. 11. The computer-readable medium of claim 9, where transforming the base graph into the folded graph comprises placing a directed edge in the folded graph, where the directed edge is directed from a first node in the folded graph to a second node in the folded graph, and where the directed edge is placed in response to detecting a compound edge connecting a third node in the base graph and a fourth node in the base graph, where the third node and the fourth node are specified by placeholder nodes in the folding definition, where the first node is associated with the third node, where the second node is associated with the fourth node, and where a compound edge is a series of edges connecting the third node and the fourth node through at least one intermediary node. 12. A system, comprising:
a configuration management data store (CMDB) to store descriptions of components of an information technology (IT) infrastructure and to store a directed graph describing relationships between the components of the IT infrastructure; a topological query logic to select a sub-graph of the directed graph in response to a topological query; and a folding logic to transform the sub-graph of the directed graph into a folded sub-graph based on information describing a desired display output. 13. The system of claim 12, comprising a provision logic to provide the folded sub-graph to a client that generates a view of a portion of the IT infrastructure as a function of the folded sub-graph. 14. The system of claim 12, comprising a receipt logic to receive the topological query and the information describing the desired display output from the client in response to a user input, and where the information describing the desired display output describes a hierarchy of information to be displayed in the view. 15. A system, comprising:
means for searching a graph for a pre-specified sub-graph; and means for transforming the pre-specified sub-graph into a folded sub-graph. 16. The system of claim 15, where the pre-specified sub-graph is transformed according to a folding query. 17. The system of claim 16, comprising means for generating the folding query. 18. The system of claim 16, comprising means for generating the folding query as a function of a folding definition. 19. The system of claim 15, comprising means for providing the folded sub-graph to a client for creating a view of the pre-specified sub-graph. 20. The system of claim 15, where the means for transforming is configured to place a directed edge from a first node in the folded sub-graph to a second node in the folded sub-graph, where the directed edge is placed in response to detecting an edge connecting a third node in the pre-specified sub-graph and a fourth node in the pre-specified sub-graph. | Systems, methods, and other embodiments associated with graph transformation are described. One example method includes transforming a base graph into a folded graph as a function of a folding query.1. A computer-readable medium storing computer-executable instructions that when executed by a computer cause the computer to perform a method, the method comprising:
transforming a base graph into a folded graph as a function of a folding query, where the folding query describes an edge to add to the folded graph when a pre-specified sub-graph is detected in the base graph; and providing the folded graph. 2. The computer-readable medium of claim 1, the method comprising:
executing a base query on a stored graph to identify the base graph. 3. The computer-readable medium of claim 2, where identifying the base graph comprises creating a copy of a portion of the stored graph. 4. The computer-readable medium of claim 2, where the stored graph resides in a configuration management database, where nodes in the stored graph represent elements of an information technology (IT) infrastructure, and where edges in the graph represent relationships between the elements of the IT infrastructure. 5. The computer-readable medium of claim 2, the method comprising generating the folding query based on a folding definition that describes a desired hierarchy of an output graph. 6. The computer-readable medium of claim 5, where generating the folding query comprises:
creating nodes in the folding query for placeholder nodes found while traversing a definition tree in the folding definition; and adding edges linking nodes in the folding query based on relationships in the definition tree as a function of anchoring rules associated with placeholder nodes in the definition tree. 7. The computer-readable medium of claim 5, the method comprising receiving the base query and the folding definition from a client, where the folded graph is provided to the client, and where the client uses the folded graph to generate the output graph based, at least in part, on the folding definition. 8. The computer-readable medium of claim 5, where the output graph is a tree. 9. The computer-readable medium of claim 5, where the folded graph comprises nodes found in the base graph and edges derived from relationships between placeholder nodes in the folding definition. 10. The computer-readable medium of claim 9, where transforming the base graph into the folded graph comprises placing a directed edge in the folded graph, where the directed edge is directed from a first node in the folded graph to a second node in the folded graph, and where the directed edge is placed in response to detecting an edge connecting a third node in the base graph and a fourth node in the base graph, where the third node and the fourth node are specified by placeholder nodes in the folding definition, where the first node is associated with the third node, and where the second node is associated with the fourth node. 11. The computer-readable medium of claim 9, where transforming the base graph into the folded graph comprises placing a directed edge in the folded graph, where the directed edge is directed from a first node in the folded graph to a second node in the folded graph, and where the directed edge is placed in response to detecting a compound edge connecting a third node in the base graph and a fourth node in the base graph, where the third node and the fourth node are specified by placeholder nodes in the folding definition, where the first node is associated with the third node, where the second node is associated with the fourth node, and where a compound edge is a series of edges connecting the third node and the fourth node through at least one intermediary node. 12. A system, comprising:
a configuration management data store (CMDB) to store descriptions of components of an information technology (IT) infrastructure and to store a directed graph describing relationships between the components of the IT infrastructure; a topological query logic to select a sub-graph of the directed graph in response to a topological query; and a folding logic to transform the sub-graph of the directed graph into a folded sub-graph based on information describing a desired display output. 13. The system of claim 12, comprising a provision logic to provide the folded sub-graph to a client that generates a view of a portion of the IT infrastructure as a function of the folded sub-graph. 14. The system of claim 12, comprising a receipt logic to receive the topological query and the information describing the desired display output from the client in response to a user input, and where the information describing the desired display output describes a hierarchy of information to be displayed in the view. 15. A system, comprising:
means for searching a graph for a pre-specified sub-graph; and means for transforming the pre-specified sub-graph into a folded sub-graph. 16. The system of claim 15, where the pre-specified sub-graph is transformed according to a folding query. 17. The system of claim 16, comprising means for generating the folding query. 18. The system of claim 16, comprising means for generating the folding query as a function of a folding definition. 19. The system of claim 15, comprising means for providing the folded sub-graph to a client for creating a view of the pre-specified sub-graph. 20. The system of claim 15, where the means for transforming is configured to place a directed edge from a first node in the folded sub-graph to a second node in the folded sub-graph, where the directed edge is placed in response to detecting an edge connecting a third node in the pre-specified sub-graph and a fourth node in the pre-specified sub-graph. | 2,100 |
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