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8,875,013 | 1 | 4 |
1. A method for validating XML documents comprising: determining a set of preprocessing parameters from an XML document, wherein responsive to any missing preprocessing parameter in the set of preprocessing parameters, determining the XML document to be invalid, wherein a result of determining that the XML document is invalid causes a ceasing of activities related to validation, wherein the preprocessing parameters represent at least one of data tags and values within the XML document, and wherein the preprocessing parameters represent at least one of data tags and values within the XML document; upon determining the set of preprocessing parameters, identifying a validation sequence from a plurality of validation sequences for the XML document based on the set of preprocessing parameters, wherein each of the validation sequence comprises a unique order of execution for series of validation passes to validate the XML document, wherein said validation sequence comprises a plurality of validation elements, wherein each validation pass corresponds to one of the validation elements, wherein each of the validation element represents a type of governance for validating the XML document, wherein each validation pass is configured to validate the XML document for at least one condition defined by the validation element; and perform a multi-pass validation associated with the validation sequence on the XML document; and producing a validation element result for each performed validation pass.
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1. A method for validating XML documents comprising: determining a set of preprocessing parameters from an XML document, wherein responsive to any missing preprocessing parameter in the set of preprocessing parameters, determining the XML document to be invalid, wherein a result of determining that the XML document is invalid causes a ceasing of activities related to validation, wherein the preprocessing parameters represent at least one of data tags and values within the XML document, and wherein the preprocessing parameters represent at least one of data tags and values within the XML document; upon determining the set of preprocessing parameters, identifying a validation sequence from a plurality of validation sequences for the XML document based on the set of preprocessing parameters, wherein each of the validation sequence comprises a unique order of execution for series of validation passes to validate the XML document, wherein said validation sequence comprises a plurality of validation elements, wherein each validation pass corresponds to one of the validation elements, wherein each of the validation element represents a type of governance for validating the XML document, wherein each validation pass is configured to validate the XML document for at least one condition defined by the validation element; and perform a multi-pass validation associated with the validation sequence on the XML document; and producing a validation element result for each performed validation pass. 4. The method of claim 1 , wherein the validation elements are ordered elements, and wherein the validation passes are performed in an order of the validation elements.
| 0.900474 |
9,373,321 | 12 | 16 |
12. A non-transitory computer readable medium having stored therein one or more sequences of one or more instructions for execution by one or more processors to perform a method for generating one or more wake-up words, the method comprising: receiving, using a keyboard, a text representation of the one or more wake-up words; determining a strength of the text representation of the one or more wake-up words based on one or more static measures, wherein the determining comprises applying a Kullback-Leibler (KL) divergence calculation between the one or more wake-up words and words unrelated to the one or more wake-up words; comparing a result to the KL divergence calculation to a predetermined distance score associated with a decoding accuracy of a speech recognizer; receiving, using a microphone, an audio representation of the one or more wake-up words; determining a strength of the audio representation of the one or more wake-up words based on one or more dynamic measures; and providing a message on a display device, wherein the message comprises one or more improvements to a likelihood that the speech recognizer recognizes the one or more wake-up words based on the strengths of the text and audio representations.
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12. A non-transitory computer readable medium having stored therein one or more sequences of one or more instructions for execution by one or more processors to perform a method for generating one or more wake-up words, the method comprising: receiving, using a keyboard, a text representation of the one or more wake-up words; determining a strength of the text representation of the one or more wake-up words based on one or more static measures, wherein the determining comprises applying a Kullback-Leibler (KL) divergence calculation between the one or more wake-up words and words unrelated to the one or more wake-up words; comparing a result to the KL divergence calculation to a predetermined distance score associated with a decoding accuracy of a speech recognizer; receiving, using a microphone, an audio representation of the one or more wake-up words; determining a strength of the audio representation of the one or more wake-up words based on one or more dynamic measures; and providing a message on a display device, wherein the message comprises one or more improvements to a likelihood that the speech recognizer recognizes the one or more wake-up words based on the strengths of the text and audio representations. 16. The non-transitory computer readable medium of claim 12 , wherein the determining the strength of the audio representation of the one or more wake-up words comprises performing a voice activity detection on the audio representation of the one or more wake-up words, calculating one or more confidence scores for the one or more wake-up words or a combination thereof.
| 0.539702 |
6,031,174 | 19 | 21 |
19. An apparatus for generating a musical tone signal comprising: means for storing performance data by phrase; means for selecting one of a plurality of phrases in response to a combination of simultaneous manipulations of phrase select operators by a player; and means for generating musical tone signals of the read performance data in response to said manipulations by reading performance data of the selected phrase from said storing means.
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19. An apparatus for generating a musical tone signal comprising: means for storing performance data by phrase; means for selecting one of a plurality of phrases in response to a combination of simultaneous manipulations of phrase select operators by a player; and means for generating musical tone signals of the read performance data in response to said manipulations by reading performance data of the selected phrase from said storing means. 21. An apparatus according to claim 19, wherein said storing stores back performance data and the apparatus further comprising means for reading the back performance data from said storing means in response to manipulation of a performance start operator independently from manipulation of the phrase select operator and generating a back performance musical tone signal.
| 0.5 |
7,774,699 | 12 | 17 |
12. An information storage medium having a plurality of instructions adapted to direct an information processing device to perform an operation for transforming data from a first hierarchical data structure into a second hierarchical data structure, the operation comprising the steps of: determining which segments within the first hierarchal data structure are separable by determining segments which are not referenced by another segment; separating the determined separable segments from the first hierarchical data structure into individual segments; transforming each individual segment, wherein the transforming of a set of one or more segments that comprise a portion of the first hierarchical data structure is done independently from transforming another set, and wherein the transforming is defined by a transformation file; analyzing the transformation file to determine one or more sets of repeated transformations that are separable; analyzing the first hierarchical data structure to estimate which set of the separable transformations will utilize the most computing resources, wherein the analyzing comprises counting the data elements and their descendants accessed within a set of transformations, and wherein-the number of segments is based upon the number of data elements and their descendants; in response to the number of data elements and their descendants in a set of the separable transformations providing a beneficial reduction in the use of the computing resources, segmenting the set of the separable transformations; and combining the separable transformed segments to form the second hierarchical data structure, by parsing each segment separately until all segments have been parsed.
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12. An information storage medium having a plurality of instructions adapted to direct an information processing device to perform an operation for transforming data from a first hierarchical data structure into a second hierarchical data structure, the operation comprising the steps of: determining which segments within the first hierarchal data structure are separable by determining segments which are not referenced by another segment; separating the determined separable segments from the first hierarchical data structure into individual segments; transforming each individual segment, wherein the transforming of a set of one or more segments that comprise a portion of the first hierarchical data structure is done independently from transforming another set, and wherein the transforming is defined by a transformation file; analyzing the transformation file to determine one or more sets of repeated transformations that are separable; analyzing the first hierarchical data structure to estimate which set of the separable transformations will utilize the most computing resources, wherein the analyzing comprises counting the data elements and their descendants accessed within a set of transformations, and wherein-the number of segments is based upon the number of data elements and their descendants; in response to the number of data elements and their descendants in a set of the separable transformations providing a beneficial reduction in the use of the computing resources, segmenting the set of the separable transformations; and combining the separable transformed segments to form the second hierarchical data structure, by parsing each segment separately until all segments have been parsed. 17. The information storage medium of claim 12 , further comprising: marking the beginning and/or ending of a first non-common transformed data within a first transformed segment.
| 0.646245 |
9,743,260 | 3 | 4 |
3. The system of claim 1 , wherein the mobile computing device is configured to determine that the user is driving the vehicle.
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3. The system of claim 1 , wherein the mobile computing device is configured to determine that the user is driving the vehicle. 4. The system of claim 3 , wherein the mobile computing device is configured to communicate with another device within the vehicle to obtain information indicating whether the user is driving the vehicle.
| 0.5 |
10,068,024 | 14 | 15 |
14. The method of claim 1 , comprising: extracting concepts from the audio, visual and textual information, the extracted concepts comprising at least one of objects, actions, scenes and emotions; grouping the concepts based on relationships of the concepts to particular events; aligning related concepts within the groups of concepts; and generating a measure of accuracy of the groups of concepts based on the aligning.
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14. The method of claim 1 , comprising: extracting concepts from the audio, visual and textual information, the extracted concepts comprising at least one of objects, actions, scenes and emotions; grouping the concepts based on relationships of the concepts to particular events; aligning related concepts within the groups of concepts; and generating a measure of accuracy of the groups of concepts based on the aligning. 15. The method of claim 14 , further comprising: retrieving the audio, visual and textual information from unsynchronized data sources; and generating a measure of a trustworthiness of the unsynchronized data sources based on the unsynchronized data sources.
| 0.5 |
9,251,125 | 9 | 10 |
9. The method of claim 1 wherein the log of research is responsive to user input, and wherein the text in the document is responsive to additional user input.
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9. The method of claim 1 wherein the log of research is responsive to user input, and wherein the text in the document is responsive to additional user input. 10. The method of claim 9 , wherein identifying, by the data processing system, the log of research and the text in the document matching the log of research includes: identifying a time of day of the user input and another time of day of the additional user input; and determining whether a difference between the time of day and the another time of day is within a threshold of time for identifying when the user input is associated with the additional user input.
| 0.5 |
8,965,865 | 11 | 12 |
11. The method of claim 3 , further comprising: (f) if the form is determined to be relevant to the identified topic, identifying a hyperlink to the received document; (g) updating a link classifier based on the identified hyperlink, the link classifier estimating a distance between a received hyperlink and a potentially searchable form; (h) ranking a plurality of hyperlinks based on the updated link classifier; (i) selecting a next hyperlink from the ranked plurality of hyperlinks; (j) receiving a second document pointed to by the selected next hyperlink; and (k) repeating (b)-(j) with the received second document as the received document until a stop condition is satisfied.
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11. The method of claim 3 , further comprising: (f) if the form is determined to be relevant to the identified topic, identifying a hyperlink to the received document; (g) updating a link classifier based on the identified hyperlink, the link classifier estimating a distance between a received hyperlink and a potentially searchable form; (h) ranking a plurality of hyperlinks based on the updated link classifier; (i) selecting a next hyperlink from the ranked plurality of hyperlinks; (j) receiving a second document pointed to by the selected next hyperlink; and (k) repeating (b)-(j) with the received second document as the received document until a stop condition is satisfied. 12. The method of claim 11 , further comprising, before (h), allocating the plurality of hyperlinks to a plurality of queues based on an estimated number of link levels to reach a potentially searchable form wherein ranking the plurality of hyperlinks is within the plurality of queues.
| 0.5 |
8,533,619 | 1 | 11 |
1. A visualization system that generates a customized visualization in an industrial automation environment, comprising: a processor, communicatively coupled to a memory, and configured to execute computer-executable components, the computer-executable components comprising: a context component configured to capture context information regarding a first data visualization, wherein the first data visualization presents data received from at least one device of the industrial automation environment and the captured context information relates to interaction with the first data visualization during presentment of the received data by the first data visualization; and a visualization component configured to: determine, based upon the captured context information, an inability of the first data visualization to present the received data in accord with the captured context information; and a second data visualization, wherein the second data visualization facilitates presentation of the received data in accord with the captured context information; and dynamically replace, in response to the second data visualization being determined, the first visualization with the second visualization.
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1. A visualization system that generates a customized visualization in an industrial automation environment, comprising: a processor, communicatively coupled to a memory, and configured to execute computer-executable components, the computer-executable components comprising: a context component configured to capture context information regarding a first data visualization, wherein the first data visualization presents data received from at least one device of the industrial automation environment and the captured context information relates to interaction with the first data visualization during presentment of the received data by the first data visualization; and a visualization component configured to: determine, based upon the captured context information, an inability of the first data visualization to present the received data in accord with the captured context information; and a second data visualization, wherein the second data visualization facilitates presentation of the received data in accord with the captured context information; and dynamically replace, in response to the second data visualization being determined, the first visualization with the second visualization. 11. The system of claim 1 , wherein the visualization component is further configured to generate the second data visualization as a function of a current or future activity of an entity with regard to at least one of: an entity role, an entity access right, an entity state, a capacity of the entity to consume information, an entity preference, an entity goal, or an entity intent.
| 0.555684 |
9,436,674 | 1 | 3 |
1. A computer system comprising: a non-transitory computer readable storage in which data are stored, the data including: data identifying entities described in a document, stored in computer memory, wherein the document includes a plurality of tokens appearing in an order in the document, and data defining a sequence of sentiment values assigned to the tokens in the document, the sequence of sentiment values being in the order the corresponding tokens appear in the document; and at least one processor for processing the data in the computer readable storage to assign a sentiment value to one of the identified entities in the document by: applying a filter to the sequence of sentiment values in the non-transitory computer readable storage, the filter having a width defined by a number of tokens, such that the sentiment value of a token is spread among other nearby tokens within the width of the filter, whereby each entity has contributions due to sentiment values from nearby tokens within the width of the filter, and for each entity in the document, combining the contributions from the nearby tokens to produce a sentiment value for the entity.
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1. A computer system comprising: a non-transitory computer readable storage in which data are stored, the data including: data identifying entities described in a document, stored in computer memory, wherein the document includes a plurality of tokens appearing in an order in the document, and data defining a sequence of sentiment values assigned to the tokens in the document, the sequence of sentiment values being in the order the corresponding tokens appear in the document; and at least one processor for processing the data in the computer readable storage to assign a sentiment value to one of the identified entities in the document by: applying a filter to the sequence of sentiment values in the non-transitory computer readable storage, the filter having a width defined by a number of tokens, such that the sentiment value of a token is spread among other nearby tokens within the width of the filter, whereby each entity has contributions due to sentiment values from nearby tokens within the width of the filter, and for each entity in the document, combining the contributions from the nearby tokens to produce a sentiment value for the entity. 3. The computer system of claim 1 , wherein the data identifying entities comprises a first ordered array of tokens from the document and data, for each entity, defining boundaries of the entity in the first ordered array, wherein the data defining sentiment values assigned to tokens in the document comprises a second ordered array of sentiment values, and wherein the order of the sentiment values corresponds to the order of the tokens so as to associate the sentiment values with the tokens.
| 0.5 |
8,621,085 | 1 | 7 |
1. A method for managing and utilizing connections between an application server comprising the Java Platform, Enterprise Edition architecture and an enterprise information system comprising a database management system based on a Daytona architecture, comprising: operating a resource adapter, said resource adapter conforming to a Java Platform, Enterprise Edition Connector architecture and being interfaced with and managed by the application server, wherein operating the resource adapter comprises: providing a connection to the enterprise information system; submitting a query request to the enterprise information system; and receiving query results from the enterprise information system; wherein submitting a query request to the enterprise information system comprises: receiving the query request from a client; instructing the enterprise information system to open a query; instructing the enterprise information system to compile the query; instructing the enterprise information system to execute the query; and wherein receiving query results from the enterprise information system comprises: instructing the enterprise information system to return the results of the execution of the query; receiving the results of the execution of the query from the enterprise information system; instructing the enterprise information system to terminate the connection; and returning the results of the execution of the query to the client; wherein instructing the enterprise information system to open a query comprises issuing a DS OPEN command, including login credentials and a specification of the type of the query, to a PolyClient Daytona Query server of the enterprise information system; and wherein instructing the enterprise information system to compile the query comprises issuing a DS COMPILE command, including a name for the query and the query itself, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to execute the query comprises issuing a DS EXECUTE command, including the name for the query, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to return the results of the query comprises issuing a DS CAT command, including the name for the query, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to terminate the connection comprises issuing a DS CLOSE command to the PolgClient Daytona Query server.
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1. A method for managing and utilizing connections between an application server comprising the Java Platform, Enterprise Edition architecture and an enterprise information system comprising a database management system based on a Daytona architecture, comprising: operating a resource adapter, said resource adapter conforming to a Java Platform, Enterprise Edition Connector architecture and being interfaced with and managed by the application server, wherein operating the resource adapter comprises: providing a connection to the enterprise information system; submitting a query request to the enterprise information system; and receiving query results from the enterprise information system; wherein submitting a query request to the enterprise information system comprises: receiving the query request from a client; instructing the enterprise information system to open a query; instructing the enterprise information system to compile the query; instructing the enterprise information system to execute the query; and wherein receiving query results from the enterprise information system comprises: instructing the enterprise information system to return the results of the execution of the query; receiving the results of the execution of the query from the enterprise information system; instructing the enterprise information system to terminate the connection; and returning the results of the execution of the query to the client; wherein instructing the enterprise information system to open a query comprises issuing a DS OPEN command, including login credentials and a specification of the type of the query, to a PolyClient Daytona Query server of the enterprise information system; and wherein instructing the enterprise information system to compile the query comprises issuing a DS COMPILE command, including a name for the query and the query itself, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to execute the query comprises issuing a DS EXECUTE command, including the name for the query, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to return the results of the query comprises issuing a DS CAT command, including the name for the query, to the PolyClient Daytona Query server; and wherein instructing the enterprise information system to terminate the connection comprises issuing a DS CLOSE command to the PolgClient Daytona Query server. 7. The method of claim 1 , wherein the query request is a request to insert data, and wherein submitting the query request to the enterprise information system further comprises: receiving a list of name-value pairs and a corresponding record class from the client; and converting the list of name-value pairs into the query request.
| 0.710938 |
8,886,642 | 7 | 8 |
7. A user-interface method of incrementally searching among multiple documents and incrementally searching for subsections within individual documents using a single incremental search interface on an input-constrained user device having a screen and a keypad, the method comprising: displaying, in a first portion of the screen, a user interface text input component operable to receive incremental keystrokes entered using the keypad; receiving a sequence of incremental keystrokes entered into the text input component by a user of the device, wherein the sequence of incremental keystrokes represents a search query input; in response to each incremental keystroke of the sequence of incremental keystrokes, receiving a set of document index section indicators, wherein each document index section indicator uniquely identifies a specific point within a document associated with a subsection within said document, and wherein the subsection associated with the specific point matches at least a portion of the sequence of incremental keystrokes; in response to each incremental keystroke of the sequence of incremental keystrokes, receiving a set of document pointers, where each pointer uniquely identifies a document; displaying, in a second portion of the screen, said document index section indicators and document pointers; receiving browse actions from the user to browse through and to select one of said document index section indicators and document pointers; displaying, if a document index section indicator is selected, the identified document, beginning at the identified point within said document so that the user is presented with the subsection within said document that is relatively more relevant to the matched portion of the sequence of incremental keystrokes without having to first scan through one or more other subsections within said document that are relatively less relevant to the matched portion of the sequence of incremental keystrokes, or displaying, if a document pointer is selected, the beginning of the identified document; setting, responsive to the document selection, a query context that includes at least one document context associated with the selected document, wherein the document context represents an attribute of the selected document; subsequent to displaying the selected document, receiving a subsequent sequence of incremental keystrokes entered into the text input component by the user of the device, wherein the subsequent sequence of incremental keystrokes represents a subsequent search query input; and in response to each incremental keystroke of the subsequent sequence of incremental keystrokes, displaying a first set of document index section indicators for the selected document and a second set of document index section indicators for an unselected document in the second portion of the screen based on the set query context and at least a portion of the subsequent sequence of incremental keystrokes.
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7. A user-interface method of incrementally searching among multiple documents and incrementally searching for subsections within individual documents using a single incremental search interface on an input-constrained user device having a screen and a keypad, the method comprising: displaying, in a first portion of the screen, a user interface text input component operable to receive incremental keystrokes entered using the keypad; receiving a sequence of incremental keystrokes entered into the text input component by a user of the device, wherein the sequence of incremental keystrokes represents a search query input; in response to each incremental keystroke of the sequence of incremental keystrokes, receiving a set of document index section indicators, wherein each document index section indicator uniquely identifies a specific point within a document associated with a subsection within said document, and wherein the subsection associated with the specific point matches at least a portion of the sequence of incremental keystrokes; in response to each incremental keystroke of the sequence of incremental keystrokes, receiving a set of document pointers, where each pointer uniquely identifies a document; displaying, in a second portion of the screen, said document index section indicators and document pointers; receiving browse actions from the user to browse through and to select one of said document index section indicators and document pointers; displaying, if a document index section indicator is selected, the identified document, beginning at the identified point within said document so that the user is presented with the subsection within said document that is relatively more relevant to the matched portion of the sequence of incremental keystrokes without having to first scan through one or more other subsections within said document that are relatively less relevant to the matched portion of the sequence of incremental keystrokes, or displaying, if a document pointer is selected, the beginning of the identified document; setting, responsive to the document selection, a query context that includes at least one document context associated with the selected document, wherein the document context represents an attribute of the selected document; subsequent to displaying the selected document, receiving a subsequent sequence of incremental keystrokes entered into the text input component by the user of the device, wherein the subsequent sequence of incremental keystrokes represents a subsequent search query input; and in response to each incremental keystroke of the subsequent sequence of incremental keystrokes, displaying a first set of document index section indicators for the selected document and a second set of document index section indicators for an unselected document in the second portion of the screen based on the set query context and at least a portion of the subsequent sequence of incremental keystrokes. 8. The method according to claim 7 , further comprising generating each of the document index section indicators by retrieving the contents of a document and inferring the structure of said document.
| 0.620229 |
9,684,843 | 12 | 14 |
12. A computing apparatus comprising: a memory to store instructions; and a processor, operatively coupled to the memory, to execute the instructions, wherein the processor is to: receive information for an identification of a data field in a physical document; receive a video stream comprising a plurality of frames, wherein each frame comprises a portion of the physical document; select a frame from the plurality of frames in the video stream; identify one or more text regions in the selected frame; process each of the one or more identified text regions of the selected frame to determine data of each of the one or more identified text regions of the selected frame, and to select data of one of the one or more identified text regions that corresponds to a set of attributes associated with the data field; compare the data of the one of the one or more identified text regions of the selected frame with data of one or more text regions of a subsequent frame; update the data of the one of the one or more identified text regions of the selected frame if the data of the one or more text regions of the subsequent frame is a closer match to the set of attributes; and provide a display field comprising the data of the one of the one or more identified text regions for presentation in a user interface.
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12. A computing apparatus comprising: a memory to store instructions; and a processor, operatively coupled to the memory, to execute the instructions, wherein the processor is to: receive information for an identification of a data field in a physical document; receive a video stream comprising a plurality of frames, wherein each frame comprises a portion of the physical document; select a frame from the plurality of frames in the video stream; identify one or more text regions in the selected frame; process each of the one or more identified text regions of the selected frame to determine data of each of the one or more identified text regions of the selected frame, and to select data of one of the one or more identified text regions that corresponds to a set of attributes associated with the data field; compare the data of the one of the one or more identified text regions of the selected frame with data of one or more text regions of a subsequent frame; update the data of the one of the one or more identified text regions of the selected frame if the data of the one or more text regions of the subsequent frame is a closer match to the set of attributes; and provide a display field comprising the data of the one of the one or more identified text regions for presentation in a user interface. 14. The apparatus of claim 12 , wherein the data of each of the one or more identified text regions comprises a text data and attribute values, and wherein the processor is to process each of the one or more identified text regions by: determining the text data of each of the one or more identified text regions using optical character recognition (OCR); determining the attribute values of the set of attributes for the text data of each of the one or more identified text regions in the selected frame; determining an attribute weight for each attribute value; determining a total attribute weight for each set of attribute values, wherein the total attribute weight comprises a sum of the attribute weights for each set of attribute values; selecting the one of the one or more identified text regions whose data is associated with a largest total attribute weight; storing the data of the one of the one or more text regions as a candidate for a closest match; and storing data of each additional text region of the one or more identified text regions.
| 0.5 |
7,769,735 | 13 | 15 |
13. A computer program product including a plurality of executable instruction codes that are stored on a storage medium, for characterizing a query workload for sizing a new database system hardware configuration, comprising: a first set of instruction codes for selecting parameters to describe an exemplary query workload comprised of a collection of queries; a second set of instruction codes for collecting a plurality of data from execution of the exemplary query workload on multiple system configurations; a third set of instruction codes for normalizing the collected data; a fourth set of instruction codes for partitioning the collection of queries in the exemplary query workload into a plurality of clusters representing classes of the queries, based on the normalized data, so that queries within a cluster are similar to each other, but are dissimilar to queries in other clusters; and a fifth set of instruction codes to assist in interpreting the clusters so that the exemplary query workload is described in terms that facilitate characterizing the query workload for sizing a new database system hardware configuration.
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13. A computer program product including a plurality of executable instruction codes that are stored on a storage medium, for characterizing a query workload for sizing a new database system hardware configuration, comprising: a first set of instruction codes for selecting parameters to describe an exemplary query workload comprised of a collection of queries; a second set of instruction codes for collecting a plurality of data from execution of the exemplary query workload on multiple system configurations; a third set of instruction codes for normalizing the collected data; a fourth set of instruction codes for partitioning the collection of queries in the exemplary query workload into a plurality of clusters representing classes of the queries, based on the normalized data, so that queries within a cluster are similar to each other, but are dissimilar to queries in other clusters; and a fifth set of instruction codes to assist in interpreting the clusters so that the exemplary query workload is described in terms that facilitate characterizing the query workload for sizing a new database system hardware configuration. 15. The computer program product according to claim 13 , wherein the first set of instruction codes identifies the exemplary query workload comprises by using an industry benchmark to serve as the exemplary workload that forms a basis for the characterization of the query workload.
| 0.549521 |
8,599,318 | 17 | 18 |
17. A method comprising: generating, at a first video processor, a first histogram based solely on a first video picture; identifying a first plurality of clip lines for the first histogram; concurrently determining, at the video processor device, a number of histogram points at a set of bins of the first histogram that are clipped by each clip line of the plurality of clip lines, wherein each clip line is applied to each bin of the set of bins, and wherein the number of histogram points clipped by each clip line is based upon the total number of points of the first histogram above that clip line; determining, at the video processor device, a final clip line of the histogram based upon a number of points of the histogram determined to be clipped by a first clip line of the plurality of clip lines, wherein the final clip line is not one of the first plurality of clip lines; and determining a translation matrix based upon the final clip line and the first histogram.
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17. A method comprising: generating, at a first video processor, a first histogram based solely on a first video picture; identifying a first plurality of clip lines for the first histogram; concurrently determining, at the video processor device, a number of histogram points at a set of bins of the first histogram that are clipped by each clip line of the plurality of clip lines, wherein each clip line is applied to each bin of the set of bins, and wherein the number of histogram points clipped by each clip line is based upon the total number of points of the first histogram above that clip line; determining, at the video processor device, a final clip line of the histogram based upon a number of points of the histogram determined to be clipped by a first clip line of the plurality of clip lines, wherein the final clip line is not one of the first plurality of clip lines; and determining a translation matrix based upon the final clip line and the first histogram. 18. The method of claim 17 further comprising: redistributing a plurality of histogram points clipped by the final clip line to define a second histogram.
| 0.5 |
8,255,383 | 1 | 16 |
1. A method, comprising: ranking a plurality of categories of a keyword detected in a query submitted by a user; ranking a category based on a frequency of selection by human search assistants; choosing a human search assistant based on association of the human search assistant with the category and the keyword; providing content identifying the query, the keyword and the category to the human search assistant when determining that the category is ranked highest; and qualifying the query based on the category and an action received when the human search assistant is performing a search for a response to the query.
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1. A method, comprising: ranking a plurality of categories of a keyword detected in a query submitted by a user; ranking a category based on a frequency of selection by human search assistants; choosing a human search assistant based on association of the human search assistant with the category and the keyword; providing content identifying the query, the keyword and the category to the human search assistant when determining that the category is ranked highest; and qualifying the query based on the category and an action received when the human search assistant is performing a search for a response to the query. 16. The method of claim 1 , comprising: identifying one of the plurality of categories of the keyword that is most frequently indicated for the keyword based on a plurality of search requests and ratings of search results for the plurality of search requests; and displaying the identified category and the keyword for a selection by the human search assistant.
| 0.5 |
9,075,493 | 15 | 19 |
15. A computer-implemented method, comprising: receiving hierarchical information for nodes at different hierarchical levels; generating a graphical tile for each node; arranging graphical tiles for each hierarchical level into graphical layers; arranging the graphical layers in a vertical stack; presenting, in a user interface, a three dimensional orthographic projection view of the stack of graphical layers, wherein the stack of graphical layers each has multiple graphical tiles on a display; and switching a graphical layer between the three dimensional orthographic projection view and a two dimensional view.
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15. A computer-implemented method, comprising: receiving hierarchical information for nodes at different hierarchical levels; generating a graphical tile for each node; arranging graphical tiles for each hierarchical level into graphical layers; arranging the graphical layers in a vertical stack; presenting, in a user interface, a three dimensional orthographic projection view of the stack of graphical layers, wherein the stack of graphical layers each has multiple graphical tiles on a display; and switching a graphical layer between the three dimensional orthographic projection view and a two dimensional view. 19. The computer-implemented method of claim 15 , comprising presenting textual information for a path to a graphical tile when the graphical tile is selected.
| 0.608374 |
9,996,589 | 1 | 3 |
1. A method for ranking search results received from a plurality of distinct search resources, the method comprising: receiving a search query over a communications network from a software application executing on a client device; transmitting the search query to a plurality of search resources via the communications network; receiving, from each of the plurality of search resources, a set of ranked search results, wherein each search result identifies an item and wherein each search result includes metadata characterizing the item and a link to a full version of the item; determining a unified match score for each search result in the received sets of ranked search results by summing matching scores of each search result ranked below the respective search result in the respective received set of ranked search results, wherein a unified match score of a first ranked search result is determined based on metadata of the first ranked search result and metadata of each second ranked search result having a lower rank than the first ranked search result in the associated set of ranked search results and wherein the metadata characterizing items identified in each ranked search result includes a title of the item and a summary of the item; determining a unified ranking for the ranked search results in the received sets of ranked search results based on the determined unified match scores for each search result, wherein the unified ranking maintains a relative ranking of each set of ranked search results as received from the plurality of search resources; ordering the search results by the determined unified ranking; generating a presentation of the ordered search results, wherein each respective search result included in the presentation comprises the link to the full version of the respective item identified by the respective search result; and sending the presentation of the ordered search results over the communications network to the software application executing on the client device.
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1. A method for ranking search results received from a plurality of distinct search resources, the method comprising: receiving a search query over a communications network from a software application executing on a client device; transmitting the search query to a plurality of search resources via the communications network; receiving, from each of the plurality of search resources, a set of ranked search results, wherein each search result identifies an item and wherein each search result includes metadata characterizing the item and a link to a full version of the item; determining a unified match score for each search result in the received sets of ranked search results by summing matching scores of each search result ranked below the respective search result in the respective received set of ranked search results, wherein a unified match score of a first ranked search result is determined based on metadata of the first ranked search result and metadata of each second ranked search result having a lower rank than the first ranked search result in the associated set of ranked search results and wherein the metadata characterizing items identified in each ranked search result includes a title of the item and a summary of the item; determining a unified ranking for the ranked search results in the received sets of ranked search results based on the determined unified match scores for each search result, wherein the unified ranking maintains a relative ranking of each set of ranked search results as received from the plurality of search resources; ordering the search results by the determined unified ranking; generating a presentation of the ordered search results, wherein each respective search result included in the presentation comprises the link to the full version of the respective item identified by the respective search result; and sending the presentation of the ordered search results over the communications network to the software application executing on the client device. 3. The method of claim 1 , wherein determining the unified ranking further comprises, scoring the search results of each search resource based on rankings provided by the search resource.
| 0.513021 |
9,747,267 | 9 | 10 |
9. In a digital medium environment for synchronized editing of simultaneously displayed first and second documents in a user interface, a method implemented by one or more computing devices comprising: opening and displaying the first document and the second document simultaneously in the user interface; outputting the first and second documents in the user interface that is configured to support editing of at least the first document; receiving an input via the user interface to edit a first portion of the first document corresponding to a first portion of the second document; subsequent to receiving the input to edit the first portion of the first document, receiving an input via the user interface to edit a next sequential portion of the first document relative to the first portion of the first document; and responsive to receiving the input to edit the next sequential portion of the first document, changing a visual characteristic of a next sequential portion of the second document relative to the first portion of the second document automatically and without user intervention in the user interface and forming a correspondence between the next sequential portion of the first document to the next sequential portion of the second document.
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9. In a digital medium environment for synchronized editing of simultaneously displayed first and second documents in a user interface, a method implemented by one or more computing devices comprising: opening and displaying the first document and the second document simultaneously in the user interface; outputting the first and second documents in the user interface that is configured to support editing of at least the first document; receiving an input via the user interface to edit a first portion of the first document corresponding to a first portion of the second document; subsequent to receiving the input to edit the first portion of the first document, receiving an input via the user interface to edit a next sequential portion of the first document relative to the first portion of the first document; and responsive to receiving the input to edit the next sequential portion of the first document, changing a visual characteristic of a next sequential portion of the second document relative to the first portion of the second document automatically and without user intervention in the user interface and forming a correspondence between the next sequential portion of the first document to the next sequential portion of the second document. 10. A method as described in claim 9 , wherein the portions are paragraphs.
| 0.84879 |
9,239,824 | 59 | 64 |
59. An apparatus, comprising: an integrated input and display device configured to provide polysemous symbols on an initial electronic screen overlay; a memory, configured to store a plurality of the polysemous symbols in association with a pointer identifying display of an electronic screen overlay which is different from the initial electronic screen overlay and store an interactive dictionary database including a plurality of single symbol and multi-symbol symbol sequences, each of the symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase and in association with information indicating at least one of an active and an inactive status, wherein only symbols, of the provided polysemous symbols of the initial electronic screen overlay, corresponding to at least one of the plurality of stored symbol sequences stored in association with information indicating an active status, are selectable; and a processor to control display of a second electronic screen overlay on the integrated input and display device, including second symbols in active multi-symbol sequences beginning with the selected polysemous symbol, in response to receiving an indication of selection of one of the provided selectable polysemous symbols beginning one of the active multi-symbol sequences.
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59. An apparatus, comprising: an integrated input and display device configured to provide polysemous symbols on an initial electronic screen overlay; a memory, configured to store a plurality of the polysemous symbols in association with a pointer identifying display of an electronic screen overlay which is different from the initial electronic screen overlay and store an interactive dictionary database including a plurality of single symbol and multi-symbol symbol sequences, each of the symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase and in association with information indicating at least one of an active and an inactive status, wherein only symbols, of the provided polysemous symbols of the initial electronic screen overlay, corresponding to at least one of the plurality of stored symbol sequences stored in association with information indicating an active status, are selectable; and a processor to control display of a second electronic screen overlay on the integrated input and display device, including second symbols in active multi-symbol sequences beginning with the selected polysemous symbol, in response to receiving an indication of selection of one of the provided selectable polysemous symbols beginning one of the active multi-symbol sequences. 64. The apparatus of claim 59 , wherein a status indicator of at least one single symbol sequence, including a symbol displayed on the initial electronic screen overlay, is automatically initially set by the processor to be inactive upon a status indicator of at least one multi-symbol sequence, including the displayed symbol beginning the at least one multi-symbol sequence, being set to an active status.
| 0.5 |
9,659,309 | 1 | 7 |
1. A method comprising: identifying, by one or more processing devices, a target document based on information provided by a content provider through a user interface displayed on a computing device, the content provider being a purveyor of content that is distributable electronically; generating, by the one or more processing devices and based on information associated with the target document and information associated with a separate document that references the target document or that the target document references, a set of distribution terms representing concepts represented in the target document, the distribution terms defining one or more serving constraints comprising one or more conditions limiting distribution of the content, wherein generating the set of distribution terms comprises: analyzing the information associated with the target document to identify terms representing a first set of concepts related to the target document; revising the information associated with the target document by supplementing or replacing at least some of the information associated with the target document with at least some of the information from the separate document without revising content within the target document, the at least some of the information from the separate document including additional terms representing a second set of concepts different from the first set of concepts; analyzing the revised information associated with the target document to identify the additional terms in the revised information; and selecting, for inclusion in the set of distribution terms and from the terms and the additional terms, at least one of the terms and at least one of the additional terms; storing, in computer memory and by the one or more processing devices, the generated set of distribution terms; and distributing the content for inclusion in an additional document that is not the target document in response to the additional document satisfying at least one of the one or more serving constraints.
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1. A method comprising: identifying, by one or more processing devices, a target document based on information provided by a content provider through a user interface displayed on a computing device, the content provider being a purveyor of content that is distributable electronically; generating, by the one or more processing devices and based on information associated with the target document and information associated with a separate document that references the target document or that the target document references, a set of distribution terms representing concepts represented in the target document, the distribution terms defining one or more serving constraints comprising one or more conditions limiting distribution of the content, wherein generating the set of distribution terms comprises: analyzing the information associated with the target document to identify terms representing a first set of concepts related to the target document; revising the information associated with the target document by supplementing or replacing at least some of the information associated with the target document with at least some of the information from the separate document without revising content within the target document, the at least some of the information from the separate document including additional terms representing a second set of concepts different from the first set of concepts; analyzing the revised information associated with the target document to identify the additional terms in the revised information; and selecting, for inclusion in the set of distribution terms and from the terms and the additional terms, at least one of the terms and at least one of the additional terms; storing, in computer memory and by the one or more processing devices, the generated set of distribution terms; and distributing the content for inclusion in an additional document that is not the target document in response to the additional document satisfying at least one of the one or more serving constraints. 7. The method of claim 1 , wherein generating the set of distribution terms is based on information in search queries that result in a reference to the target document.
| 0.712329 |
7,870,162 | 1 | 8 |
1. A method for generating properly formed expressions for validating selected records of a computer system database, said method comprising: displaying in a metadata user interface a plurality of selected records of a computer system database; displaying an expression-builder user interface coupled to said metadata user interface, said expression-builder user interface configured to construct at least one conditional validation expression, said expression-builder user interface comprising a token-based menu, said token-based menu automatically generated to comprise tokens representing and coupled to fields of said plurality of selected records; obtaining at least one branch value selection for at least one of a plurality of expressions comprising at least one tokenized branch value from said token-based menu; accepting user selections from said token based menu; computing said plurality of expressions, each expression comprising a properly-formed expression for validating said plurality of selected records comprising said user selections from said token-based menu; grouping said plurality of said expressions into a validation group; performing said plurality of expressions in said validation group as a single operation against said plurality of selected records; and displaying results of performing said plurality of expressions of said validation group, wherein displaying said results comprises displaying: an indicator of validity of data in each of said plurality of selected records, said indicator of validity of data visually coupled to each of said plurality of selected records and further comprising a plurality of levels of execution for each of said plurality of selected records, said levels of execution selected from the group consisting of: none, warning and error, wherein said indicator of validity comprises an error message indicating any invalid field of said selected records; and a parse result indicating a parsing validity of said plurality of expressions.
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1. A method for generating properly formed expressions for validating selected records of a computer system database, said method comprising: displaying in a metadata user interface a plurality of selected records of a computer system database; displaying an expression-builder user interface coupled to said metadata user interface, said expression-builder user interface configured to construct at least one conditional validation expression, said expression-builder user interface comprising a token-based menu, said token-based menu automatically generated to comprise tokens representing and coupled to fields of said plurality of selected records; obtaining at least one branch value selection for at least one of a plurality of expressions comprising at least one tokenized branch value from said token-based menu; accepting user selections from said token based menu; computing said plurality of expressions, each expression comprising a properly-formed expression for validating said plurality of selected records comprising said user selections from said token-based menu; grouping said plurality of said expressions into a validation group; performing said plurality of expressions in said validation group as a single operation against said plurality of selected records; and displaying results of performing said plurality of expressions of said validation group, wherein displaying said results comprises displaying: an indicator of validity of data in each of said plurality of selected records, said indicator of validity of data visually coupled to each of said plurality of selected records and further comprising a plurality of levels of execution for each of said plurality of selected records, said levels of execution selected from the group consisting of: none, warning and error, wherein said indicator of validity comprises an error message indicating any invalid field of said selected records; and a parse result indicating a parsing validity of said plurality of expressions. 8. The computer readable medium of claim 1 , wherein said at least one branch value selection comprises a category value.
| 0.837366 |
7,802,231 | 8 | 11 |
8. The article of manufacture of claim 7 wherein the data causing the machine to perform processing the propositional expression comprises data that, when accessed by the machine, causes the machine to perform operations comprising: setting the current container to be null; establishing the context for the propositional expression in the rule; and parsing the propositional expression.
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8. The article of manufacture of claim 7 wherein the data causing the machine to perform processing the propositional expression comprises data that, when accessed by the machine, causes the machine to perform operations comprising: setting the current container to be null; establishing the context for the propositional expression in the rule; and parsing the propositional expression. 11. The article of manufacture of claim 8 wherein the data causing the machine to perform parsing the propositional expression comprises data that, when accessed by the machine, causes the machine to perform operations comprising: reading in logical order a role expression in the propositional expression if the propositional expression is an expression to which a propositional demonstrative is applied or contains a term to which an interrogative operator is applied, the role expression being not a pronominal reference; if the role expression contains an interrogative operator, generating an object type for the term in the role expression, and if the current container is null, adding a parameter having a parameter type to be a collection that contains objects having the object type to the operation, else adding an attribute having an attribute type to be a collection that contains objects having the object type to the object type designated by the current container, and setting the current container to the object type generated for the term, else if the role expression contains no definite article or expression of a specifically referenced instance, if the role expression contains an indefinite article or has no quantification, generating an object type for the term in the role expression, if the current container is null, adding a parameter having a parameter type to be the object type generated for the term to the operation, else adding an attribute having an attribute type to be the object type generated for the term to the object type designated by the current container.
| 0.5 |
8,386,454 | 3 | 4 |
3. The method of claim 1 , wherein the object filter filters search results based on a single web location content source.
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3. The method of claim 1 , wherein the object filter filters search results based on a single web location content source. 4. The method of claim 3 , wherein the single web location content source is a web location that is content general and user-action specific.
| 0.5 |
8,407,201 | 24 | 25 |
24. The method of claim 22 , further comprising: extracting said metadata for each corresponding digital image from a header of a digital image file of said digital image.
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24. The method of claim 22 , further comprising: extracting said metadata for each corresponding digital image from a header of a digital image file of said digital image. 25. The method of claim 24 , wherein said extracting includes parsing said header in accordance with the EXIF standard.
| 0.5 |
9,881,002 | 6 | 9 |
6. A computer-implemented method, comprising: receiving, by a computer system, an image; receiving data associated with the image, the data including a plurality of parameters describing presentation of the image, individual parameters of the plurality of parameters corresponding to at least one of characteristic parameters or rule parameters; generating an asset identification code, the asset identification code identifying at least the image and the data; storing the image and the data in association with the asset identification code; receiving a translation of a text string based at least in part on a request that includes the asset identification code, the translation of the text string comprising a translated text string corresponding to a language code that comprises a regional identifier and a language identifier, the regional identifier indicating a particular geographic region and the language identifier indicating a particular language supported within the particular geographic region; providing the image including the translated text string to a user device in accordance with the plurality of parameters; and causing the user device to display the image based in part on the language code and the plurality of parameters, the displayed image including the translated text string.
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6. A computer-implemented method, comprising: receiving, by a computer system, an image; receiving data associated with the image, the data including a plurality of parameters describing presentation of the image, individual parameters of the plurality of parameters corresponding to at least one of characteristic parameters or rule parameters; generating an asset identification code, the asset identification code identifying at least the image and the data; storing the image and the data in association with the asset identification code; receiving a translation of a text string based at least in part on a request that includes the asset identification code, the translation of the text string comprising a translated text string corresponding to a language code that comprises a regional identifier and a language identifier, the regional identifier indicating a particular geographic region and the language identifier indicating a particular language supported within the particular geographic region; providing the image including the translated text string to a user device in accordance with the plurality of parameters; and causing the user device to display the image based in part on the language code and the plurality of parameters, the displayed image including the translated text string. 9. The computer-implemented method of claim 6 , wherein the text string comprises a first language and the translated text string comprises a second language, the first language distinct from the second language.
| 0.816291 |
8,109,765 | 1 | 7 |
1. A computer-based method comprising: receiving by a computer audio input associated with a user reading a sequence of words displayed on a graphical user interface generated from the computer, with words in the sequence of words associated with at least one pre-assigned word category; assessing by the computer a level of fluency and pronunciation accuracy of the reading by the user of the sequence of words by: applying the audio input to a speech recognition engine, configured to produce an output, as a sequence of recognized words, corresponding to the received input; comparing the sequence of recognized words to an expected sequence of words; and providing by the computer feedback to the user related to the level of fluency and pronunciation accuracy for a word in the sequence of recognized words, wherein providing the feedback includes: (a) providing immediate feedback comprising one or more of a visual intervention that includes visual indications provided on the graphical user interface and an audio intervention that includes an audio indication if the level of fluency and pronunciation accuracy for a word in the sequence of recognized words does not meet a first set of criteria; (b) placing words on a review list if the level of fluency and pronunciation accuracy for a word in the sequence of recognized words meets the first set of criteria, but does not meet a second set of criteria; (c) placing words on a review list if immediate feedback was given for the word in the sequence of recognized words, depending on the word's category and type of immediate feedback previously given; (d) providing deferred feedback by concurrently presenting a plurality of words from the review list to the user; wherein the computer-based method is executed by a processor in a computer system.
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1. A computer-based method comprising: receiving by a computer audio input associated with a user reading a sequence of words displayed on a graphical user interface generated from the computer, with words in the sequence of words associated with at least one pre-assigned word category; assessing by the computer a level of fluency and pronunciation accuracy of the reading by the user of the sequence of words by: applying the audio input to a speech recognition engine, configured to produce an output, as a sequence of recognized words, corresponding to the received input; comparing the sequence of recognized words to an expected sequence of words; and providing by the computer feedback to the user related to the level of fluency and pronunciation accuracy for a word in the sequence of recognized words, wherein providing the feedback includes: (a) providing immediate feedback comprising one or more of a visual intervention that includes visual indications provided on the graphical user interface and an audio intervention that includes an audio indication if the level of fluency and pronunciation accuracy for a word in the sequence of recognized words does not meet a first set of criteria; (b) placing words on a review list if the level of fluency and pronunciation accuracy for a word in the sequence of recognized words meets the first set of criteria, but does not meet a second set of criteria; (c) placing words on a review list if immediate feedback was given for the word in the sequence of recognized words, depending on the word's category and type of immediate feedback previously given; (d) providing deferred feedback by concurrently presenting a plurality of words from the review list to the user; wherein the computer-based method is executed by a processor in a computer system. 7. The method of claim 1 , wherein the audio indication comprises a pronunciation of the word.
| 0.963538 |
9,626,649 | 4 | 5 |
4. The computer-implemented method of claim 1 wherein the plurality of scope of responsibility descriptions comprises a plurality of scope of responsibility description types and at least one of the plurality of scope of responsibility description types comprises a work complexity description type, a client accountability description type, a people management description type, or a job specific scope description type.
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4. The computer-implemented method of claim 1 wherein the plurality of scope of responsibility descriptions comprises a plurality of scope of responsibility description types and at least one of the plurality of scope of responsibility description types comprises a work complexity description type, a client accountability description type, a people management description type, or a job specific scope description type. 5. The computer-implemented method of claim 4 wherein the user interactive table and user interactive comparison table display displays the scope of responsibility description type associated with each job level when the user selects the expectation description type, and inhibits displaying the other scope of responsibility description types and the plurality of experience descriptions not associated with the user selection.
| 0.5 |
9,431,081 | 16 | 19 |
16. A memory device comprising: a plurality of normal word lines; a redundant word line; and a word line control unit suitable for selectively activating the normal word lines, and replacing a frequently activated word line with the redundant word line when the frequently activated word line is detected among the normal word lines, wherein memory cells coupled to a normal word line adjacent to the redundant word line, among the normal word lines, have a longer retention time than memory cells coupled to a normal word line which is not adjacent to the redundant word line.
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16. A memory device comprising: a plurality of normal word lines; a redundant word line; and a word line control unit suitable for selectively activating the normal word lines, and replacing a frequently activated word line with the redundant word line when the frequently activated word line is detected among the normal word lines, wherein memory cells coupled to a normal word line adjacent to the redundant word line, among the normal word lines, have a longer retention time than memory cells coupled to a normal word line which is not adjacent to the redundant word line. 19. The memory device of claim 16 , wherein the memory cell comprises: a switching transistor coupled to a corresponding word line; and a cell capacitor coupled to the switching transistor, wherein the cell capacitor of a memory cell coupled to the normal word line adjacent to the redundant word line has a greater capacitance than the cell capacitor of a memory cell coupled to a normal word line which is not adjacent to the redundant word line.
| 0.522388 |
8,078,633 | 1 | 9 |
1. A computer-implemented method, comprising: receiving, at a computer system, a string of characters that includes no word-delineating breaks; generating, by the computer system from the string of characters, a plurality of candidate word groups that are portions of the string of characters; determining, by the computer system, frequencies with which all or a portion of each of the candidate word groups occur in a corpus; and selecting, by the computer system using the determined frequencies, one or more of the candidate word groups for submission to an entity, wherein the one or more candidate word groups are selected based on each of the one or more candidate word groups having a determined frequency that is greater than determined frequencies for at least a threshold number of other candidate word groups.
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1. A computer-implemented method, comprising: receiving, at a computer system, a string of characters that includes no word-delineating breaks; generating, by the computer system from the string of characters, a plurality of candidate word groups that are portions of the string of characters; determining, by the computer system, frequencies with which all or a portion of each of the candidate word groups occur in a corpus; and selecting, by the computer system using the determined frequencies, one or more of the candidate word groups for submission to an entity, wherein the one or more candidate word groups are selected based on each of the one or more candidate word groups having a determined frequency that is greater than determined frequencies for at least a threshold number of other candidate word groups. 9. The method of claim 1 , wherein the selected one or more of the candidate word groups have the greatest determined frequencies among the generated candidate word groups.
| 0.638655 |
8,489,400 | 1 | 7 |
1. A method comprising: presenting text on a touch-sensitive display of a computing device; receiving, via the touch-sensitive display, a user touch; identifying a portion of the text based at least in part on the user touch; and audibly presenting the portion of the text.
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1. A method comprising: presenting text on a touch-sensitive display of a computing device; receiving, via the touch-sensitive display, a user touch; identifying a portion of the text based at least in part on the user touch; and audibly presenting the portion of the text. 7. The method of claim 1 , wherein identifying the portion of the text further comprises: identifying an area of the touch-sensitive display indicated by the user touch; and associating text presented in the area to form the portion of the text.
| 0.525194 |
8,781,971 | 1 | 16 |
1. A method for controlling a manner in which a software application accesses an application programming interface (API), wherein the software application executes on a computing device and the API is available on the computing device, and the method comprises: receiving, from the software application executing on the computing device, a request to access the API; extracting, from the API, first license information that identifies whether all software applications executing on the computing device are permitted to access the API; identifying, based on the first license information, that not all software applications executing on the computing device are permitted to access the API; and in response to identifying: extracting, from the software application, second license information that identifies whether the software application is permitted to access the API, determining, based on the second license information, that the software application is permitted to access the API, and in response to determining: granting the software application access to the API.
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1. A method for controlling a manner in which a software application accesses an application programming interface (API), wherein the software application executes on a computing device and the API is available on the computing device, and the method comprises: receiving, from the software application executing on the computing device, a request to access the API; extracting, from the API, first license information that identifies whether all software applications executing on the computing device are permitted to access the API; identifying, based on the first license information, that not all software applications executing on the computing device are permitted to access the API; and in response to identifying: extracting, from the software application, second license information that identifies whether the software application is permitted to access the API, determining, based on the second license information, that the software application is permitted to access the API, and in response to determining: granting the software application access to the API. 16. The method of claim 1 , wherein extracting the second license information from the software application comprises reading from a data segment of the software application a license key string and a license agreement string.
| 0.560311 |
8,818,100 | 22 | 28 |
22. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; an optimum set module to determine an optimum set of columns for each initial subset of rows by: generating a histogram of column frequencies of the set of columns in the corresponding initial subset of rows, each column frequency comprising a number of times a particular column occurs in the corresponding initial subset of rows; determining a threshold of the column frequencies for the corresponding initial subset of rows; and selecting particular columns having the column frequency above the threshold to be included in a corresponding optimum set; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of the corresponding initial subset of rows having physical structures most similar to the corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor.
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22. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; an optimum set module to determine an optimum set of columns for each initial subset of rows by: generating a histogram of column frequencies of the set of columns in the corresponding initial subset of rows, each column frequency comprising a number of times a particular column occurs in the corresponding initial subset of rows; determining a threshold of the column frequencies for the corresponding initial subset of rows; and selecting particular columns having the column frequency above the threshold to be included in a corresponding optimum set; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of the corresponding initial subset of rows having physical structures most similar to the corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor. 28. The system of claim 22 wherein: each optimum set is represented by a corresponding master row having the set of columns from the corresponding initial subset of rows, each corresponding master row comprising a binary vector with a binary 1 in particular columns in the set of columns for the corresponding initial subset of rows that are elements of the corresponding optimum set and a binary 0 in other particular columns in the set of columns for the corresponding initial subset of rows that are not elements of the corresponding optimum set; and the division module comprises a clustering module using a clustering algorithm to: determine one or more clusters of one or more row points for each initial subset of rows, each row point corresponding to one of the one or more text rows in the corresponding initial subset of rows and comprising at least two members of a group consisting of a row distance, a row matches, and a row length for the one of the one or more text rows or normalized values thereof; determine a cluster closeness value for each cluster in each initial subset of rows, each cluster closeness value based on a row matches average and a row distances average for text rows corresponding to row points of a corresponding cluster or normalized values thereof; determine a final cluster for each initial subset of rows, each final cluster having a smallest cluster closeness value from cluster closeness values of the one or more clusters of the corresponding initial subset of rows, each final cluster comprising at least one of the row points, the at least one of the row points corresponding to the at least one of the one or more text rows of the corresponding initial subset of rows; and split the one or more text rows in each corresponding initial subset of rows into at least the final subset of rows and another subset of rows, the final subset of rows comprising the at least one of the one or more text rows of the corresponding initial subset of rows that corresponds to the at least one of the row points of a corresponding final cluster, the other subset of rows comprising either no text rows or at least one other text row of the corresponding initial subset of rows that does not include the at least one of the one or more text rows.
| 0.505213 |
8,065,655 | 2 | 3 |
2. The method of claim 1 wherein the representation of the ontology is a Web Ontology Language file.
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2. The method of claim 1 wherein the representation of the ontology is a Web Ontology Language file. 3. The method of claim 2 wherein providing an autogeneration utility further comprises implementing the model transformation capabilities of IBM Rational Software Architect™; and using the open source Jena framework to implement writing to the Web Ontology Language file.
| 0.662095 |
8,407,178 | 16 | 20 |
16. Physical computer storage that stores executable code that directs a computing system to at least: receive a recommendation set generated by a recommendation engine, said recommendation set comprising a computer representation of a plurality of items predicted to be of interest to a target user; filter the recommendation set to increase a degree of item diversity of the recommendation set, said filtering comprising filtering out a first item from the recommendation set based at least partly on a determination that the first item has at least a threshold degree of similarity to a second item in the recommendation set, said first and second items not being duplicates of each other; and output at least a portion of the filtered recommendation set for presentation to the target user with a display element that enables the target user to initiate a display of one or more items, including said first item, that were filtered from the recommendation set.
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16. Physical computer storage that stores executable code that directs a computing system to at least: receive a recommendation set generated by a recommendation engine, said recommendation set comprising a computer representation of a plurality of items predicted to be of interest to a target user; filter the recommendation set to increase a degree of item diversity of the recommendation set, said filtering comprising filtering out a first item from the recommendation set based at least partly on a determination that the first item has at least a threshold degree of similarity to a second item in the recommendation set, said first and second items not being duplicates of each other; and output at least a portion of the filtered recommendation set for presentation to the target user with a display element that enables the target user to initiate a display of one or more items, including said first item, that were filtered from the recommendation set. 20. The physical computer storage of claim 16 , wherein the display element is a slider control that is adjustable by the target user to control a degree to which items filtered from the recommendation set are displayed.
| 0.740566 |
8,352,229 | 4 | 5 |
4. The computer-implemented method of claim 1 , wherein compiling further comprises generating a plurality of functions that access a block of memory during simulation, wherein the block of memory is consecutively addressable memory that stores state information of the simulation engine and is referenced using void pointers.
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4. The computer-implemented method of claim 1 , wherein compiling further comprises generating a plurality of functions that access a block of memory during simulation, wherein the block of memory is consecutively addressable memory that stores state information of the simulation engine and is referenced using void pointers. 5. The computer-implemented method of claim 4 , wherein during simulation wherein the simulation engine is executing, the method further comprises: reading data from the block of memory; writing the data read from the block of memory to an integrated circuit that is programmed with at least a portion of the circuit design that is being simulated within the simulation; and subsequently writing state information generated by the integrated circuit back to the block of memory and continuing the simulation.
| 0.5 |
8,423,546 | 1 | 6 |
1. At a computer system including one or more processors and system memory, a method for identifying key phrases within a document, the method comprising: an act of accessing a document; an act of calculating the frequency of occurrence of a plurality of different textual phrases within the document, each textual phrase including one or more individual words of a specified language, and outputting a list that contains at least some of the textual phrases together with the frequency of occurrence of output phrases within the document; an act of accessing a language model for the specified language, the language model defining expected frequencies of occurrence at least for individual words of the specified language; for each textual phrase in the output list, an act of determining the expected frequency of each such textual phrase by using the expected frequencies of at least some of the individual words of the language model to interpolate from the expected frequencies of said at least some individual words the expected frequency of each such textual phrase contained in said list; for each textual phrase in the output list, an act of computing a cross-entropy value computed from the frequency of occurrence of the textual phrase within the document and the determined expected frequency of occurrence of the textual phrase within the language model; an act of selecting a specified number of key textual phrases based on the computed cross-entropy values; and an act of populating a key phrase data structure with data representative of each of the selected specified number of key textual phrases.
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1. At a computer system including one or more processors and system memory, a method for identifying key phrases within a document, the method comprising: an act of accessing a document; an act of calculating the frequency of occurrence of a plurality of different textual phrases within the document, each textual phrase including one or more individual words of a specified language, and outputting a list that contains at least some of the textual phrases together with the frequency of occurrence of output phrases within the document; an act of accessing a language model for the specified language, the language model defining expected frequencies of occurrence at least for individual words of the specified language; for each textual phrase in the output list, an act of determining the expected frequency of each such textual phrase by using the expected frequencies of at least some of the individual words of the language model to interpolate from the expected frequencies of said at least some individual words the expected frequency of each such textual phrase contained in said list; for each textual phrase in the output list, an act of computing a cross-entropy value computed from the frequency of occurrence of the textual phrase within the document and the determined expected frequency of occurrence of the textual phrase within the language model; an act of selecting a specified number of key textual phrases based on the computed cross-entropy values; and an act of populating a key phrase data structure with data representative of each of the selected specified number of key textual phrases. 6. The method as recited in claim 1 , wherein the act of selecting a specified number of key textual phrases comprises an act of using a weighting function to weight the statistical significance of the different textual phrases contained in the list relative to one another.
| 0.713389 |
7,519,589 | 116 | 120 |
116. The method of claim 115 , further comprising: defining a findings folder containing only items whose content is determined by a user to relate to a specific topic, and to providing a definitive conclusion regarding the specific topic.
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116. The method of claim 115 , further comprising: defining a findings folder containing only items whose content is determined by a user to relate to a specific topic, and to providing a definitive conclusion regarding the specific topic. 120. The method of claim 116 , further comprising: enabling a user to construct a query by selecting a subset of the hierarchy of folders.
| 0.717213 |
9,449,044 | 11 | 18 |
11. The one or more computer-readable storage media of claim 10 , where the first name is located to the right of the second name on a command line or in a software code listing.
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11. The one or more computer-readable storage media of claim 10 , where the first name is located to the right of the second name on a command line or in a software code listing. 18. The one or more computer-readable storage media of claim 11 , wherein the first name is within scope of the second name.
| 0.686869 |
9,911,407 | 1 | 8 |
1. A method for generating parameters in a speech synthesis system, wherein the system comprises a parameter generation module operatively coupled to a speech synthesis module, using a continuous feature stream, for provided text for use in speech synthesis, comprising the steps of: a) partitioning, by the parameter generation module, said provided text into a sequence of phrases; b) generating, by the parameter generation module, parameters in a continuous approximation for said sequence of phrases using a speech model; and c) processing, by the parameter generation module, the generated parameters to obtain an other set of parameters, wherein said other set of parameters comprise at least one clamped delta value and wherein said other set of parameters are utilized in speech synthesis for provided text by the speech synthesis module.
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1. A method for generating parameters in a speech synthesis system, wherein the system comprises a parameter generation module operatively coupled to a speech synthesis module, using a continuous feature stream, for provided text for use in speech synthesis, comprising the steps of: a) partitioning, by the parameter generation module, said provided text into a sequence of phrases; b) generating, by the parameter generation module, parameters in a continuous approximation for said sequence of phrases using a speech model; and c) processing, by the parameter generation module, the generated parameters to obtain an other set of parameters, wherein said other set of parameters comprise at least one clamped delta value and wherein said other set of parameters are utilized in speech synthesis for provided text by the speech synthesis module. 8. The method of claim 1 , wherein the generation of the parameters comprises generating a parameter trajectory, which further comprises the steps of: a) initializing a first element of a generated parameter vector; b) determining a frame increment value; c) determining if a linguistic segment is present, wherein i) if the linguistic segment is not present, determining if voicing has started and 1) if voicing has not started, adjusting the parameter vector based on parameters of voiced phonemes and restarting the process from step (a); 2) if voicing has started, determining if the voicing is in a first frame, wherein, if the voice is in the first frame, a coefficient mean is equal to fundamental frequency, and if the voice is not in the first frame, performing a clamp of the coefficient; and ii) if the linguistic segment is present, removing abrupt changes of the parameter trajectory, and performing a global variance adjustment.
| 0.503688 |
7,970,660 | 1 | 9 |
1. A computer-implemented data mining method, comprising: storing, in an electronic data repository, user activity data associated with each of a plurality of users of an online system that provides access to an electronic catalog, said user activity data reflecting user-generated events associated with particular items represented in the electronic catalog; programmatically identifying, among the plurality of users, a subset of users whose email addresses are associated with a particular organization; programmatically analyzing the user activity data associated with the plurality of users, including the subset of users, by execution of code by a computer processor, to identify a set of items that have experienced significantly higher levels of user activity among the subset of users than among the plurality of users; and creating, in computer storage, an association between the organization and the identified set of items.
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1. A computer-implemented data mining method, comprising: storing, in an electronic data repository, user activity data associated with each of a plurality of users of an online system that provides access to an electronic catalog, said user activity data reflecting user-generated events associated with particular items represented in the electronic catalog; programmatically identifying, among the plurality of users, a subset of users whose email addresses are associated with a particular organization; programmatically analyzing the user activity data associated with the plurality of users, including the subset of users, by execution of code by a computer processor, to identify a set of items that have experienced significantly higher levels of user activity among the subset of users than among the plurality of users; and creating, in computer storage, an association between the organization and the identified set of items. 9. The method of claim 1 , wherein programmatically analyzing the user activity data comprises using a bootstrap method to evaluate whether a set of items associated with the organization is a result of group preferences that differ from preferences of the plurality of users.
| 0.5 |
9,336,184 | 1 | 6 |
1. A method of operating a computing device to execute a document authoring tool that forms an interactive document, the method comprising: with at least one processor: receiving a plurality of user inputs defining elements of the interactive document, the elements comprising: a plurality of entities to be incorporated in the interactive document; a transformation indicating a relationship between input data and output data of a first entity of the plurality of entities; a visualization for visually representing input data of a second entity of the plurality of entities, wherein the document authoring tool selects a visualization with interactivity and represents the visualization with interactivity by a third entity and a fourth entity, the third entity comprising an entity with an input and no output and the fourth entity comprising an entity with an output and no input, wherein the third entity is separate and disconnected from the fourth entity; and a plurality of edges, each of the plurality of edges indicating a data flow between two of the plurality of entities; and verifying that the plurality of edges interconnect the plurality of entities in an acyclic graph, wherein the plurality of entities are of a plurality of types.
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1. A method of operating a computing device to execute a document authoring tool that forms an interactive document, the method comprising: with at least one processor: receiving a plurality of user inputs defining elements of the interactive document, the elements comprising: a plurality of entities to be incorporated in the interactive document; a transformation indicating a relationship between input data and output data of a first entity of the plurality of entities; a visualization for visually representing input data of a second entity of the plurality of entities, wherein the document authoring tool selects a visualization with interactivity and represents the visualization with interactivity by a third entity and a fourth entity, the third entity comprising an entity with an input and no output and the fourth entity comprising an entity with an output and no input, wherein the third entity is separate and disconnected from the fourth entity; and a plurality of edges, each of the plurality of edges indicating a data flow between two of the plurality of entities; and verifying that the plurality of edges interconnect the plurality of entities in an acyclic graph, wherein the plurality of entities are of a plurality of types. 6. The method of claim 1 , wherein the transformation represents a set of equations.
| 0.89781 |
8,572,457 | 10 | 11 |
10. The device of claim 1 , further comprising: demodulator circuitry configured to read the memory cells of the memory device; and decoder circuitry configured to decode the inner code words and the outer code words and to correct errors in the inner code words and the outer code words.
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10. The device of claim 1 , further comprising: demodulator circuitry configured to read the memory cells of the memory device; and decoder circuitry configured to decode the inner code words and the outer code words and to correct errors in the inner code words and the outer code words. 11. The device of claim 10 , wherein the decoder circuitry is configured to iterate between correcting the outer code words and correcting the inner code words.
| 0.5 |
8,234,262 | 1 | 5 |
1. A method comprising: detecting an inaudible physiological reaction by a person to an instance of at least two instances of a displayed first content, the at least two instances of the first content having a common contextual attribute, the detecting being performed while the person is viewing at least one of the at least two instances of the displayed first content; determining a content attribute of the instance of the at least two instances of the displayed first content that is at least substantially absent from other instances of the at least two instances of the displayed first content; initiating a search for a second content using a search parameter corresponding to the detected inaudible physiological reaction and to the determined content attribute of the instance; selecting the second content from a result of the initiated search, the selecting being automated and performed at least in part with a processing device; and facilitating a display of the selected second content in a manner perceivable by the person.
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1. A method comprising: detecting an inaudible physiological reaction by a person to an instance of at least two instances of a displayed first content, the at least two instances of the first content having a common contextual attribute, the detecting being performed while the person is viewing at least one of the at least two instances of the displayed first content; determining a content attribute of the instance of the at least two instances of the displayed first content that is at least substantially absent from other instances of the at least two instances of the displayed first content; initiating a search for a second content using a search parameter corresponding to the detected inaudible physiological reaction and to the determined content attribute of the instance; selecting the second content from a result of the initiated search, the selecting being automated and performed at least in part with a processing device; and facilitating a display of the selected second content in a manner perceivable by the person. 5. The method of claim 1 , further comprising: providing an access to the selected second content.
| 0.952703 |
9,253,607 | 1 | 8 |
1. A method for wireless device positioning, the method comprising: in a wireless communication device: capturing one or more images of one or more sources of textual information in the vicinity of said wireless communication device; extracting text from said one or more sources of textual information; and determining a position of said wireless communication device based on a comparison of said extracted text in said captured one or more images to text in a stored database of textual information, wherein the determining a position comprises, at least in part, determining a distance to a letter at a beginning of the one or more sources of textual information, determining a distance to a letter at an end of the one or more sources of textual information, and triangulating the position using the determined distances.
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1. A method for wireless device positioning, the method comprising: in a wireless communication device: capturing one or more images of one or more sources of textual information in the vicinity of said wireless communication device; extracting text from said one or more sources of textual information; and determining a position of said wireless communication device based on a comparison of said extracted text in said captured one or more images to text in a stored database of textual information, wherein the determining a position comprises, at least in part, determining a distance to a letter at a beginning of the one or more sources of textual information, determining a distance to a letter at an end of the one or more sources of textual information, and triangulating the position using the determined distances. 8. The method according to claim 1 , comprising determining a distance from one or more of said sources of textual information in the vicinity of said wireless communication device based on known optical properties of a camera in said wireless communication device.
| 0.597264 |
9,691,040 | 1 | 10 |
1. An information processing device comprising: a memory and one or more processors coupled to the memory for executing: a communication unit configured to transmit textual information; a schedule storage unit configured to store schedule information; a keyword storage unit configured to store multiple keywords that are classified into multiple categories; a keyword extraction unit configured to extract keywords from the textual information transmitted by the communication unit on the basis of the keywords stored in the keyword storage unit, and specify one category corresponding the extracted keywords when extracting a keyword which was classified into a plurality of categories based on a position thereof and relationships to other words in the textual information; a schedule information creation unit configured to create new schedule information or revised schedule information which causes the schedule information stored in the schedule storage unit to be updated, based on the keywords extracted by the keyword extraction unit and the categories of the extracted keywords; and a schedule updating unit configured to store the new schedule information into the schedule storage unit, and update the schedule information stored in the schedule storage unit with the revised schedule information.
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1. An information processing device comprising: a memory and one or more processors coupled to the memory for executing: a communication unit configured to transmit textual information; a schedule storage unit configured to store schedule information; a keyword storage unit configured to store multiple keywords that are classified into multiple categories; a keyword extraction unit configured to extract keywords from the textual information transmitted by the communication unit on the basis of the keywords stored in the keyword storage unit, and specify one category corresponding the extracted keywords when extracting a keyword which was classified into a plurality of categories based on a position thereof and relationships to other words in the textual information; a schedule information creation unit configured to create new schedule information or revised schedule information which causes the schedule information stored in the schedule storage unit to be updated, based on the keywords extracted by the keyword extraction unit and the categories of the extracted keywords; and a schedule updating unit configured to store the new schedule information into the schedule storage unit, and update the schedule information stored in the schedule storage unit with the revised schedule information. 10. The information processing device according to claim 1 , wherein the communication unit is configured to transmit advertisement information including date, advertisement content, and keywords; and the schedule information creation unit is configured to create the schedule information including date and advertisement contents based on the extracted keywords extracted by the keyword extraction unit.
| 0.739355 |
7,972,266 | 6 | 8 |
6. The method as in claim 1 wherein the physiological monitoring data is obtained by image capture, audio capture or multi-spectral capture.
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6. The method as in claim 1 wherein the physiological monitoring data is obtained by image capture, audio capture or multi-spectral capture. 8. The method as in claim 6 wherein the face of the individual in the captured images is normalized in each image according to color attributes of one or more facial reference features of the individual.
| 0.5 |
8,788,460 | 8 | 9 |
8. The computer-implemented method of claim 4 , further comprising: receiving a list selector user interface (UI) to perform a search for a list or document library; entering one or more search requirements for a list to search for; receiving a list of one or more lists matching the one or more search requirements; selecting a first list from the list of one or more lists matching the one or more search requirements; and receiving information about the first list.
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8. The computer-implemented method of claim 4 , further comprising: receiving a list selector user interface (UI) to perform a search for a list or document library; entering one or more search requirements for a list to search for; receiving a list of one or more lists matching the one or more search requirements; selecting a first list from the list of one or more lists matching the one or more search requirements; and receiving information about the first list. 9. The computer-implemented method of claim 8 , wherein the one or more search requirements for the list comprises a title.
| 0.646552 |
8,688,749 | 17 | 24 |
17. A non-transitory computer readable medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to carry out steps comprising: modeling for implementing for object-centric data models; obtaining, at an importing site, an exporting site ontology and a set of one or more database changes associated with an exporting site; wherein the exporting site ontology defines one or more first object types and one or more first link types relating two or more objects of the one or more first object types in a first object-centric data model; obtaining an ontology map comprising at least one object rule for mapping the one or more first object types of the first object-centric data model to one or more second object types in a second object-centric data model defined by an importing site ontology and at least one link rule for mapping the one or more first link types of the first object-centric data model to one or more second link types in the second object-centric data model; incorporating the set of one or more database changes into a database at the importing site based on the at least one object rule and the at least one link rule, wherein at least one link represented in the set of one or more database changes is reversed based on the at least one link rule; wherein object data for at least one object is represented by different object types in the first object-centric data model and the second object-centric data model.
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17. A non-transitory computer readable medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to carry out steps comprising: modeling for implementing for object-centric data models; obtaining, at an importing site, an exporting site ontology and a set of one or more database changes associated with an exporting site; wherein the exporting site ontology defines one or more first object types and one or more first link types relating two or more objects of the one or more first object types in a first object-centric data model; obtaining an ontology map comprising at least one object rule for mapping the one or more first object types of the first object-centric data model to one or more second object types in a second object-centric data model defined by an importing site ontology and at least one link rule for mapping the one or more first link types of the first object-centric data model to one or more second link types in the second object-centric data model; incorporating the set of one or more database changes into a database at the importing site based on the at least one object rule and the at least one link rule, wherein at least one link represented in the set of one or more database changes is reversed based on the at least one link rule; wherein object data for at least one object is represented by different object types in the first object-centric data model and the second object-centric data model. 24. The non-transitory computer readable medium of claim 17 , wherein the ontology map comprises a one-to-one mapping between a first particular link data type defined by the exporting site ontology and a second particular link data type defined by the importing site ontology; wherein a particular rule of the at least one link rule further specifies that a link represented by data of the first particular link data type should be reversed before data representing the link is incorporated into the database; wherein incorporating the set of one or more database changes into the database comprises reversing a link represented by a particular database change of the set of database changes before incorporating the particular database change into the database.
| 0.5 |
9,594,831 | 8 | 10 |
8. The method of claim 1 , wherein said identifying comprises: constructing a graph, where: each node in the graph relates to an associated candidate mention of a particular named entity from the list of multiple different named entities in a particular document, each node in the graph is associated with a co-occurrence score that identifies an extent to which the particular document includes strings associated with plural respective named entities from the list of multiple different named entities, each edge in the graph connects one node, associated with one of the candidate mentions, with another node, associated with another one of the candidate mentions, and at least some edges are associated with context similarity scores that identify contextual similarity between corresponding candidate mentions; and determining ranking scores, each ranking score identifying an extent to which the associated candidate mention associated with each node is considered one of the true mentions.
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8. The method of claim 1 , wherein said identifying comprises: constructing a graph, where: each node in the graph relates to an associated candidate mention of a particular named entity from the list of multiple different named entities in a particular document, each node in the graph is associated with a co-occurrence score that identifies an extent to which the particular document includes strings associated with plural respective named entities from the list of multiple different named entities, each edge in the graph connects one node, associated with one of the candidate mentions, with another node, associated with another one of the candidate mentions, and at least some edges are associated with context similarity scores that identify contextual similarity between corresponding candidate mentions; and determining ranking scores, each ranking score identifying an extent to which the associated candidate mention associated with each node is considered one of the true mentions. 10. The method of claim 8 , further comprising omitting consideration of a particular context similarity score between a first candidate mention (e i , d j ), associated with an entity e i in document d j , and a second candidate mention (e i′ ,d j′ ), associated with an entity e i′ and document d j′ , providing that e i =e i′ .
| 0.756637 |
8,489,586 | 1 | 7 |
1. A system comprising: a member network server implemented by one or more computer processors, the member network server comprising a member network database stored in machine-readable memory, the member network database storing profiles that represent members in a member network, the profiles comprising endorsements of electronic documents including web pages, and a member network engine programmed to allow users to interact with and participate in the member network, including by classifying particular electronic documents as user endorsed electronic documents by inputting a favorable rating on a control that is displayed simultaneously with a corresponding electronic document; and a search engine server implemented by one or more computer processors, the search engine server comprising an article index stored in machine-readable memory, the article index indexing electronic documents stored at other devices or systems and a search engine programmed to respond to receipt of a query signal that embodies a local search query made by a query-submitting member of the member network by performing operations, the operations including: performing a search of the article index, the search of the article index locating local information responsive to the local search query in the electronic documents indexed by the article index and returning identifiers of the electronic documents in a first local search result set, performing a search of the member network database, the search of the member network database locating endorsements of electronic documents in the member profiles and returning the endorsements in a second local search result set, wherein performing the search of the member network database comprises the search engine communicating with the member network engine to identify selected members in the member network and accessing the member profiles of the selected members to identify the endorsements in the member profiles of the selected members, merging the first local search result set and the second local search result set to form a final local search result set, wherein ranking of the electronic documents in the final local search result set differs from ranking of the electronic documents in the first local search result set and embodies the electronic document endorsements in the member profiles of the selected members, and providing the final local search result set for presentation to the query-submitting member of the member network, wherein the presentation identifies, with particular ones of the final local search result set, the selected members in the member network identified as having provided endorsements for electronic documents that correspond to the particular ones of the final local search result set.
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1. A system comprising: a member network server implemented by one or more computer processors, the member network server comprising a member network database stored in machine-readable memory, the member network database storing profiles that represent members in a member network, the profiles comprising endorsements of electronic documents including web pages, and a member network engine programmed to allow users to interact with and participate in the member network, including by classifying particular electronic documents as user endorsed electronic documents by inputting a favorable rating on a control that is displayed simultaneously with a corresponding electronic document; and a search engine server implemented by one or more computer processors, the search engine server comprising an article index stored in machine-readable memory, the article index indexing electronic documents stored at other devices or systems and a search engine programmed to respond to receipt of a query signal that embodies a local search query made by a query-submitting member of the member network by performing operations, the operations including: performing a search of the article index, the search of the article index locating local information responsive to the local search query in the electronic documents indexed by the article index and returning identifiers of the electronic documents in a first local search result set, performing a search of the member network database, the search of the member network database locating endorsements of electronic documents in the member profiles and returning the endorsements in a second local search result set, wherein performing the search of the member network database comprises the search engine communicating with the member network engine to identify selected members in the member network and accessing the member profiles of the selected members to identify the endorsements in the member profiles of the selected members, merging the first local search result set and the second local search result set to form a final local search result set, wherein ranking of the electronic documents in the final local search result set differs from ranking of the electronic documents in the first local search result set and embodies the electronic document endorsements in the member profiles of the selected members, and providing the final local search result set for presentation to the query-submitting member of the member network, wherein the presentation identifies, with particular ones of the final local search result set, the selected members in the member network identified as having provided endorsements for electronic documents that correspond to the particular ones of the final local search result set. 7. The system of claim 1 , wherein the member network database further comprises: a look-up table listing a category classifying local search queries; and an identifier for an endorsed web page in the category.
| 0.665605 |
9,311,278 | 1 | 3 |
1. A computer-implemented method for providing a visual editor allowing graphical editing of logical expressions in a database expression language, comprising: displaying a graphical user interface; receiving a first user input of a graphical rule logic block on the graphical user interface, wherein the graphical rule logic block represents a high-level definition of a logical expression in plain text for one or more of: a database query, a database rule and a database condition, and wherein the rule logic block includes one or more visual indicators indicating whether the logical expression is usable as is or requires further refinement; receiving a second user input of one or more graphical sub-elements, wherein each individual sub-element is presented as a non-alphanumeric geometric shape and is contained within the rule logic block and represents one of: an operator of a logical expression and an operand of a logical expression, wherein a graphical sub-element representing an operand further includes one or more visual indicators indicating whether the operand is usable as is or requires further refinement; verifying a syntax of the second user input; and providing an alert to the user in response to detecting a syntax error or an inconsistency of the second user input when verifying the syntax.
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1. A computer-implemented method for providing a visual editor allowing graphical editing of logical expressions in a database expression language, comprising: displaying a graphical user interface; receiving a first user input of a graphical rule logic block on the graphical user interface, wherein the graphical rule logic block represents a high-level definition of a logical expression in plain text for one or more of: a database query, a database rule and a database condition, and wherein the rule logic block includes one or more visual indicators indicating whether the logical expression is usable as is or requires further refinement; receiving a second user input of one or more graphical sub-elements, wherein each individual sub-element is presented as a non-alphanumeric geometric shape and is contained within the rule logic block and represents one of: an operator of a logical expression and an operand of a logical expression, wherein a graphical sub-element representing an operand further includes one or more visual indicators indicating whether the operand is usable as is or requires further refinement; verifying a syntax of the second user input; and providing an alert to the user in response to detecting a syntax error or an inconsistency of the second user input when verifying the syntax. 3. The method of claim 1 , further comprising: receiving a third user input converting one or more expressions defined in a textual form to expressions defined in a logical form; and wherein verifying a syntax includes verifying the syntax of the second user input after receiving the third user input.
| 0.50974 |
8,386,472 | 3 | 4 |
3. The method of claim 1 , wherein receiving further includes parsing the SQL statements for references to the first rules and the other rules.
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3. The method of claim 1 , wherein receiving further includes parsing the SQL statements for references to the first rules and the other rules. 4. The method of claim 3 further comprising, accessing rule definitions for the references to acquire schemas for the first rules and the other rules.
| 0.5 |
7,860,968 | 1 | 4 |
1. A hierarchical, multi-tiered mapping and monitoring system usable with device networks, the system comprising: a service repository configured to store: a global service that is configured to track global device metadata associated with at least one device network; a local service that is configured to track local device metadata associated with the at least one device network and to update the global device metadata based thereon; a group leader service that is configured to query devices of the at least one device network and aggregate group-level device metadata for transmission to the local service and updating of the local device metadata; and a service mapper that is configured to associate service metadata of the global service, the local service, and the group leader service, respectively, with device metadata of at least one global device, at least one local device, and at least one group leader device, also respectively, and to perform a mapping of the services to the respective devices, based thereon, wherein the global service, the local service, and the group leader service are associated, respectively, with a global service monitor component, a local service monitor component, and a group leader service monitor component, respectively, and wherein the service monitor components are configured to provide monitor data associated with the at least one device network to the service mapper, the service mapper being configured to map a device network service to at least one device of the at least one device network.
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1. A hierarchical, multi-tiered mapping and monitoring system usable with device networks, the system comprising: a service repository configured to store: a global service that is configured to track global device metadata associated with at least one device network; a local service that is configured to track local device metadata associated with the at least one device network and to update the global device metadata based thereon; a group leader service that is configured to query devices of the at least one device network and aggregate group-level device metadata for transmission to the local service and updating of the local device metadata; and a service mapper that is configured to associate service metadata of the global service, the local service, and the group leader service, respectively, with device metadata of at least one global device, at least one local device, and at least one group leader device, also respectively, and to perform a mapping of the services to the respective devices, based thereon, wherein the global service, the local service, and the group leader service are associated, respectively, with a global service monitor component, a local service monitor component, and a group leader service monitor component, respectively, and wherein the service monitor components are configured to provide monitor data associated with the at least one device network to the service mapper, the service mapper being configured to map a device network service to at least one device of the at least one device network. 4. The system of claim 1 , wherein the global service monitor component is configured to provide monitor data associated with the at least one device network to a user interface of an application.
| 0.925248 |
10,079,039 | 1 | 11 |
1. A method comprising: (a) receiving, at an electronic device, (i) data corresponding to a video, and (ii) data corresponding to a plurality of point comments associated with the video, each of the plurality of point comments being associated with a single point in time and with a particular user account of a plurality of user accounts, (iii) data corresponding to a plurality of segment comments associated with the video, each of the plurality of segment comments being associated with a video segment representing a span of time of the video and with a particular user account of the plurality of user accounts; (b) displaying, to a user via an electronic display associated with the electronic device, a video annotation interface comprising (i) a video pane configured to display the video, (ii) a first video timeline bar including a video play-head indicating a current point of the video which is being played, (iii) a second segment timeline bar disposed below the first video timeline bar, the second segment timeline bar including initial and final handles configured to define a segment of the video for playing, (iv) a first plurality of point comment markers identifiable as point comment markers by the presence of a first geometric shape displayed in connection with the video timeline bar, each of the first plurality of comment markers corresponding to one of the plurality of point comments associated with the video, (v) a second plurality of segment comment markers identifiable as segment comment markers by the presence of a second geometric shape displayed in connection with the video timeline bar, each of the second plurality of comment markers corresponding to one of the plurality of segment comments associated with the video, (vi) a comment display pane displaying text corresponding to at least some of the plurality of comments associated with the video, and (vii) a comment control configured to allow the user to add a comment to the video; and (c) receiving, at the electronic device from the user, input corresponding to engagement at a first point on the segment timeline bar; (d) automatically, in response to receiving the input corresponding to engagement at the first point on the segment timeline bar, moving the initial and final handles of the segment timeline bar to define a first segment of a first length centered around the first point, wherein the first length is one of a preconfigured length and a length determined based on a total length of the video; (e) receiving, at the electronic device from the user, input corresponding to dragging of the final handle to change the length of the first segment to a second length; (f) receiving, at the electronic device from the user, input corresponding to dragging of the first segment on the segment timeline bar, and simultaneously moving the initial and final handles while keeping the first segment its current length in response thereto; (g) receiving, at the electronic device from the user, input corresponding to engagement of the comment control; (h) in response to receiving input corresponding to engagement of the comment control, displaying, to the user via the electronic display associated with the electronic device, a comment interface; (i) receiving, at the electronic device from the user, input corresponding to one or more desired annotations; and (j) in response to receiving input corresponding to one or more desired annotations, (i) associating the input one or more annotations with the selected first segment of the video, (ii) updating the video annotation interface so that the plurality of comment markers displayed in connection with the video timeline bar includes a new segment comment marker corresponding to the first segment, and (iii) displaying an indication of the input one or more annotations overlaid over the video in the video pane.
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1. A method comprising: (a) receiving, at an electronic device, (i) data corresponding to a video, and (ii) data corresponding to a plurality of point comments associated with the video, each of the plurality of point comments being associated with a single point in time and with a particular user account of a plurality of user accounts, (iii) data corresponding to a plurality of segment comments associated with the video, each of the plurality of segment comments being associated with a video segment representing a span of time of the video and with a particular user account of the plurality of user accounts; (b) displaying, to a user via an electronic display associated with the electronic device, a video annotation interface comprising (i) a video pane configured to display the video, (ii) a first video timeline bar including a video play-head indicating a current point of the video which is being played, (iii) a second segment timeline bar disposed below the first video timeline bar, the second segment timeline bar including initial and final handles configured to define a segment of the video for playing, (iv) a first plurality of point comment markers identifiable as point comment markers by the presence of a first geometric shape displayed in connection with the video timeline bar, each of the first plurality of comment markers corresponding to one of the plurality of point comments associated with the video, (v) a second plurality of segment comment markers identifiable as segment comment markers by the presence of a second geometric shape displayed in connection with the video timeline bar, each of the second plurality of comment markers corresponding to one of the plurality of segment comments associated with the video, (vi) a comment display pane displaying text corresponding to at least some of the plurality of comments associated with the video, and (vii) a comment control configured to allow the user to add a comment to the video; and (c) receiving, at the electronic device from the user, input corresponding to engagement at a first point on the segment timeline bar; (d) automatically, in response to receiving the input corresponding to engagement at the first point on the segment timeline bar, moving the initial and final handles of the segment timeline bar to define a first segment of a first length centered around the first point, wherein the first length is one of a preconfigured length and a length determined based on a total length of the video; (e) receiving, at the electronic device from the user, input corresponding to dragging of the final handle to change the length of the first segment to a second length; (f) receiving, at the electronic device from the user, input corresponding to dragging of the first segment on the segment timeline bar, and simultaneously moving the initial and final handles while keeping the first segment its current length in response thereto; (g) receiving, at the electronic device from the user, input corresponding to engagement of the comment control; (h) in response to receiving input corresponding to engagement of the comment control, displaying, to the user via the electronic display associated with the electronic device, a comment interface; (i) receiving, at the electronic device from the user, input corresponding to one or more desired annotations; and (j) in response to receiving input corresponding to one or more desired annotations, (i) associating the input one or more annotations with the selected first segment of the video, (ii) updating the video annotation interface so that the plurality of comment markers displayed in connection with the video timeline bar includes a new segment comment marker corresponding to the first segment, and (iii) displaying an indication of the input one or more annotations overlaid over the video in the video pane. 11. The method of claim 1 , wherein the electronic display is a touchscreen display, and wherein at least one of the steps of receiving, at the electronic device from the user, input, comprises receiving input from the user input via the touchscreen display.
| 0.65873 |
8,655,875 | 14 | 18 |
14. The system of claim 11 , comprising a target object disposition logic.
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14. The system of claim 11 , comprising a target object disposition logic. 18. The system of claim 14 , comprising a programmatic interface for receiving one or more commands from one or more of, an application programming interface, a command line interface, a graphical user interface, a library call, a user context, a role context, a business process policy, a business process policy object, and an object oriented message.
| 0.550891 |
8,094,948 | 8 | 10 |
8. A method for organizing digital images, comprising: deriving optical parameters from the digital images; determining a visual cue in the digital images based on depth of field associated with the digital images; accessing a set of subject classes commonly used by a user and assembled into predefined parameters; determining a semantic concept for the digital image by associating the visual cue with the set of digital image subject classes; and organizing the digital images into classifications according to the associations determined by the visual cue.
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8. A method for organizing digital images, comprising: deriving optical parameters from the digital images; determining a visual cue in the digital images based on depth of field associated with the digital images; accessing a set of subject classes commonly used by a user and assembled into predefined parameters; determining a semantic concept for the digital image by associating the visual cue with the set of digital image subject classes; and organizing the digital images into classifications according to the associations determined by the visual cue. 10. The method for organizing digital images of claim 8 , further comprising: analyzing the optical parameters for context information and content information.
| 0.64978 |
8,978,989 | 17 | 31 |
17. An apparatus for generating a readable matrix code image encoding a message based on an input image and a readable matrix coding specification: a memory unit capable of storing the input image and the readable matrix coding specification; a processing unit capable of: applying a function patterns specification to function areas of the readable matrix code image; applying a code word specification to code word areas of the readable matrix code image, the code word areas including free areas and derived areas in an extent which is in compliance with the code word specification; wherein the free areas include free cells and derived cells, and the processing unit is configured to apply a visual perceptual similarity criterion when processing the free cells, such that the appearance of the free cells, when compared to respective areas of the input image, comply with a visual perceptual similarity criterion, and wherein the processing unit is configured to process the derived cells, such that the derived cells form, together with the free cells, providing a valid code word.
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17. An apparatus for generating a readable matrix code image encoding a message based on an input image and a readable matrix coding specification: a memory unit capable of storing the input image and the readable matrix coding specification; a processing unit capable of: applying a function patterns specification to function areas of the readable matrix code image; applying a code word specification to code word areas of the readable matrix code image, the code word areas including free areas and derived areas in an extent which is in compliance with the code word specification; wherein the free areas include free cells and derived cells, and the processing unit is configured to apply a visual perceptual similarity criterion when processing the free cells, such that the appearance of the free cells, when compared to respective areas of the input image, comply with a visual perceptual similarity criterion, and wherein the processing unit is configured to process the derived cells, such that the derived cells form, together with the free cells, providing a valid code word. 31. The apparatus according to claim 17 , wherein the processing unit is configured to include in the free cells one or more of the following: padding cells, border cells and metadata cells.
| 0.776995 |
8,510,103 | 3 | 6 |
3. The method of claim 1 , further comprises: identifying a user based on user identification input; and accessing the plurality of stored audio patterns associated with a user based on the user identification input.
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3. The method of claim 1 , further comprises: identifying a user based on user identification input; and accessing the plurality of stored audio patterns associated with a user based on the user identification input. 6. The method of claim 3 , wherein the stored audio patterns and digital tokens are stored in a table and one of the plurality of stored audio patterns in the table is selected by: comparing a digital audio input signal with each stored audio pattern associated with the identified user; and selecting one of the plurality of stored audio patterns with the highest correspondence to the digital audio input.
| 0.552747 |
8,949,718 | 13 | 19 |
13. An electronic device, comprising: a display; at least one processor in communication with the display; memory containing software executable by the at least one processor whereby the electronic device is operative to: play digital audio content display visual audio links associated with terms of relevance from the digital audio content, each visual audio link corresponding to a term of relevance displayed only as content having the term of relevance is played during playing of the digital audio content, wherein each of the visual audio links is a reference to additional content associated with a corresponding term of relevance from the terms of relevance; and in response to receiving a user's selection of one of the visual audio links, present the additional content associated with the corresponding term of relevance, wherein the user is granted a license to the additional content; and wherein when presentation of the additional content completes the media player plays the digital audio content at a point where the corresponding term of relevance was mentioned, such that the user is granted rewind rights based on the terms of relevance.
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13. An electronic device, comprising: a display; at least one processor in communication with the display; memory containing software executable by the at least one processor whereby the electronic device is operative to: play digital audio content display visual audio links associated with terms of relevance from the digital audio content, each visual audio link corresponding to a term of relevance displayed only as content having the term of relevance is played during playing of the digital audio content, wherein each of the visual audio links is a reference to additional content associated with a corresponding term of relevance from the terms of relevance; and in response to receiving a user's selection of one of the visual audio links, present the additional content associated with the corresponding term of relevance, wherein the user is granted a license to the additional content; and wherein when presentation of the additional content completes the media player plays the digital audio content at a point where the corresponding term of relevance was mentioned, such that the user is granted rewind rights based on the terms of relevance. 19. The electronic device of claim 13 wherein presenting the additional content further comprises at least one of presenting video, audio, text, and a web page.
| 0.733333 |
9,756,161 | 1 | 2 |
1. A voice recognition apparatus comprising: a context model created by modeling recognition target context; a model creator configured to classify the recognition target context according to a length of syllables, and to create a context model for each length of syllables; and a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model for each length of syllables, calculate a length of a user's speech based on a Begin of Speech (BoS) and an End of Speech (EoS), and apply a high reliability weight value to a candidate having a length of syllables corresponding to the length of speech.
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1. A voice recognition apparatus comprising: a context model created by modeling recognition target context; a model creator configured to classify the recognition target context according to a length of syllables, and to create a context model for each length of syllables; and a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model for each length of syllables, calculate a length of a user's speech based on a Begin of Speech (BoS) and an End of Speech (EoS), and apply a high reliability weight value to a candidate having a length of syllables corresponding to the length of speech. 2. The voice recognition apparatus according to claim 1 , further comprising a display unit configured to display the candidate group in which one or more candidates are arranged according to degrees of reliability.
| 0.66195 |
9,397,695 | 15 | 19 |
15. A computer implemented method for generating a code alphabet for use by a deployed program to determine codewords for words used in a computing system, wherein the codewords have an average codeword length less than a length of the words, comprising: generating a code alphabet having a number of symbols formed by merging symbols that provide variable length codings of the words, wherein the code alphabet used by the deployed program.
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15. A computer implemented method for generating a code alphabet for use by a deployed program to determine codewords for words used in a computing system, wherein the codewords have an average codeword length less than a length of the words, comprising: generating a code alphabet having a number of symbols formed by merging symbols that provide variable length codings of the words, wherein the code alphabet used by the deployed program. 19. The method of claim 15 , further comprising: generating a code distribution of frequencies of groups of words of the symbols that are merged, each having a number of words, wherein a frequency of each of the groups comprises a sum of the frequencies of the words included in a group according to the word frequency distribution, wherein the symbols that are merged are constructed from words in the code distribution, and wherein each symbol in the code alphabet maps to the words in one of the groups and has the frequency of the group of words to which the symbol maps.
| 0.5 |
9,811,515 | 6 | 10 |
6. An information handling system comprising: one or more processors; one or more data stores accessible by at least one of the processors; a display accessible by at least one of the processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: analyzing a plurality of posts included in a plurality of threads of one or more threaded discussions, wherein the analysis identifies a plurality of child posts that refer to a parent post selected from the plurality of posts by a user of a user interface; identifying a statement in the parent post, wherein the statement includes a possible answer to a question; analyzing the statement using agreement data found in the plurality of child posts, wherein one or more of the plurality of child posts includes one or more alternative answers to the question; identifying a structural support of each of the one or more alternative answers from one or more of the plurality of posts included in the thread, wherein the identifying further comprises scoring each of the one or more alternative answers; and displaying the parent post, an analysis of the statement in the parent post, and the one or more alternative answers to the user at the user interface, wherein the displaying further comprises displaying the identified structural support and the scoring for each of the one or more alternative answers.
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6. An information handling system comprising: one or more processors; one or more data stores accessible by at least one of the processors; a display accessible by at least one of the processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: analyzing a plurality of posts included in a plurality of threads of one or more threaded discussions, wherein the analysis identifies a plurality of child posts that refer to a parent post selected from the plurality of posts by a user of a user interface; identifying a statement in the parent post, wherein the statement includes a possible answer to a question; analyzing the statement using agreement data found in the plurality of child posts, wherein one or more of the plurality of child posts includes one or more alternative answers to the question; identifying a structural support of each of the one or more alternative answers from one or more of the plurality of posts included in the thread, wherein the identifying further comprises scoring each of the one or more alternative answers; and displaying the parent post, an analysis of the statement in the parent post, and the one or more alternative answers to the user at the user interface, wherein the displaying further comprises displaying the identified structural support and the scoring for each of the one or more alternative answers. 10. The information handling system of claim 6 wherein the agreement data is selected from a group consisting of up-votes, “me toos”, likes, dislikes, agreements, and disagreements.
| 0.905037 |
9,104,312 | 1 | 6 |
1. A method, performed using one or more processors and a memory, for data input, the method comprising: receiving, through an input device and using the one or more processors, a first user input as part of a gesture, wherein the gesture comprises at least a first input selection that represents less than an entire word and a second input selection; and wherein the gesture is a continuous stroke across a virtual keyboard from a first simulated key across one or more other simulated keys; identifying, in the first user input, a bend from the first input selection to a current input location along the gesture; determining that the bend indicates a third input selection that represents a portion of the word between the first input selection and the second input selection; assigning to the bend a directional classification from a discrete set of directional classifications; determining one or more candidates for the third input selection based on the candidates for the third input selection being in a direction, relative to the first input selection, corresponding to the assigned directional classification; determining, using the one or more processors, one or more possible word suggestions based upon the first input selection and the one or more candidates for the third input selection, wherein the one or more possible word suggestions are determined prior to receiving the second input selection; and providing, using a display, the possible word suggestions to the user.
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1. A method, performed using one or more processors and a memory, for data input, the method comprising: receiving, through an input device and using the one or more processors, a first user input as part of a gesture, wherein the gesture comprises at least a first input selection that represents less than an entire word and a second input selection; and wherein the gesture is a continuous stroke across a virtual keyboard from a first simulated key across one or more other simulated keys; identifying, in the first user input, a bend from the first input selection to a current input location along the gesture; determining that the bend indicates a third input selection that represents a portion of the word between the first input selection and the second input selection; assigning to the bend a directional classification from a discrete set of directional classifications; determining one or more candidates for the third input selection based on the candidates for the third input selection being in a direction, relative to the first input selection, corresponding to the assigned directional classification; determining, using the one or more processors, one or more possible word suggestions based upon the first input selection and the one or more candidates for the third input selection, wherein the one or more possible word suggestions are determined prior to receiving the second input selection; and providing, using a display, the possible word suggestions to the user. 6. The method of claim 1 , wherein determining that the bend indicates the third input selection comprises determining that the bend indicates a single character between the first input selection and the second input selection.
| 0.667155 |
9,892,151 | 15 | 16 |
15. A computing system including a processor and memory configured to perform operations comprising: generating metadata associated with data stored in a database to retrieve the data without searching all of the database; storing the generated metadata in a data structure in memory; inspecting the generated metadata for updates; updating the data stored in the database based upon, at least in part, the updates of the generated metadata; receiving a query for the data stored in the database; executing the query using the generated metadata to generate a metadata result set, wherein the generated metadata result set includes metadata specifying a path to the data in the database, and wherein generating the metadata result set includes combining a plurality of indexes in response to the query, wherein combining the plurality of indexes includes combining the plurality of indexes using one or more bitwise operations on the plurality of indexes; generating a result set using the plurality of indexes of the generated metadata result set including retrieving the data in the database from one or more devices using the metadata result set; and transmitting the result set to a requesting client, wherein the result set includes at least one of a link to the data stored in the database and a copy of the data stored in the database.
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15. A computing system including a processor and memory configured to perform operations comprising: generating metadata associated with data stored in a database to retrieve the data without searching all of the database; storing the generated metadata in a data structure in memory; inspecting the generated metadata for updates; updating the data stored in the database based upon, at least in part, the updates of the generated metadata; receiving a query for the data stored in the database; executing the query using the generated metadata to generate a metadata result set, wherein the generated metadata result set includes metadata specifying a path to the data in the database, and wherein generating the metadata result set includes combining a plurality of indexes in response to the query, wherein combining the plurality of indexes includes combining the plurality of indexes using one or more bitwise operations on the plurality of indexes; generating a result set using the plurality of indexes of the generated metadata result set including retrieving the data in the database from one or more devices using the metadata result set; and transmitting the result set to a requesting client, wherein the result set includes at least one of a link to the data stored in the database and a copy of the data stored in the database. 16. The computing system of claim 15 , wherein generating the result set includes: retrieving the data in the database from one or more devices using the metadata result set.
| 0.613333 |
6,067,510 | 1 | 4 |
1. A machine interpreter comprising: a parallel translation data base for storing an example sentence of a first language and a corresponding translation of the example sentence of a second language; a variable semantic feature dictionary for designating a variable word group of at least one word corresponding to a particular word group, of at least one word, of the example sentence, and for storing word groups of the first and second languages in pairs; input means for inputting a request for retrieval from the parallel translation data base; retrieving means for retrieving an example sentence and a translated sentence from the parallel translation data base based upon an input retrieval request; display for displaying the example sentence and translated sentence retrieved from the parallel translation data base; control means for arranging words of a variable word group in the variable semantic feature dictionary corresponding to the particular word group of the example sentence, and for causing the display to display the arranged words and a word group corresponding to the arranged words; and substituting means for substituting a translated word of the arranged words, equivalent to a word requested by the input means, for the particular word of the example sentence.
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1. A machine interpreter comprising: a parallel translation data base for storing an example sentence of a first language and a corresponding translation of the example sentence of a second language; a variable semantic feature dictionary for designating a variable word group of at least one word corresponding to a particular word group, of at least one word, of the example sentence, and for storing word groups of the first and second languages in pairs; input means for inputting a request for retrieval from the parallel translation data base; retrieving means for retrieving an example sentence and a translated sentence from the parallel translation data base based upon an input retrieval request; display for displaying the example sentence and translated sentence retrieved from the parallel translation data base; control means for arranging words of a variable word group in the variable semantic feature dictionary corresponding to the particular word group of the example sentence, and for causing the display to display the arranged words and a word group corresponding to the arranged words; and substituting means for substituting a translated word of the arranged words, equivalent to a word requested by the input means, for the particular word of the example sentence. 4. The machine interpreter as defined in claim 1, wherein the control means further controls the display to display the words of the variable word group in a column for selection and inputting to be substituted for the particular word of the example sentence, and wherein the substituting means further substitutes the selected word of the character string for the particular word of the example sentence when a word of the displayed column is selected by the input means.
| 0.5 |
9,317,186 | 6 | 9 |
6. A non-transitory machine readable medium storing a program that when executed by at least one processing unit provides a user interface (UI), the UI comprising: a publishing tool for preparing a book for publication by a content publisher and for exporting the book for publication, wherein the publishing tool comprises a first display section, a second display section and a particular UI item for a display of a computing device, the first display section comprising a step-by-step guide for sequentially presenting a plurality of publishing steps according to a workflow order for publishing the book and for indicating a current publishing step, the second display section for providing analysis of each step and identifying any error associated with the current publishing step, wherein to facilitate resolution of the error, the second display section presents for an identified error (i) an error type and (ii) a description of the error, wherein selection of at least one of the error's type and the error's description results in display of a page of the book where the identified error was found, the particular UI item for proceeding toward publishing, wherein the particular UI item is available when there is no identified error or when the identified error is a non-blocking error that does not prevent the book from being published, wherein the particular UI item is unavailable when the identified error is a blocking error that needs to be resolved before publishing the book.
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6. A non-transitory machine readable medium storing a program that when executed by at least one processing unit provides a user interface (UI), the UI comprising: a publishing tool for preparing a book for publication by a content publisher and for exporting the book for publication, wherein the publishing tool comprises a first display section, a second display section and a particular UI item for a display of a computing device, the first display section comprising a step-by-step guide for sequentially presenting a plurality of publishing steps according to a workflow order for publishing the book and for indicating a current publishing step, the second display section for providing analysis of each step and identifying any error associated with the current publishing step, wherein to facilitate resolution of the error, the second display section presents for an identified error (i) an error type and (ii) a description of the error, wherein selection of at least one of the error's type and the error's description results in display of a page of the book where the identified error was found, the particular UI item for proceeding toward publishing, wherein the particular UI item is available when there is no identified error or when the identified error is a non-blocking error that does not prevent the book from being published, wherein the particular UI item is unavailable when the identified error is a blocking error that needs to be resolved before publishing the book. 9. The non-transitory machine readable medium of claim 6 , wherein the book is associated with a cover art, wherein the program creates a package that includes the exported book and the cover art for delivery to the content publisher.
| 0.696104 |
8,462,372 | 1 | 7 |
1. An image processing apparatus for outputting a document including a data group containing a plurality of data items, comprising: a storing part configured to store document definition data in which a plurality of document kind data indicating contents of output documents are defined in correspondence with output pattern data, the output pattern data including output method data and output condition data; a structured data fabricating part configured to fabricate structured data including the data group according to the document kind data, the structured data being independent from an output method and an output condition of the document, the structured data fabricating part including a plurality of logical document fabricating modules corresponding to the plurality of document kind data; an image data fabricating part configured to fabricate image data of the document according to the structured data; an identifying part configured to identify target document definition data among the document definition data that correspond to designated document kind data; an outputting part configured to output the image data according to the output pattern data corresponding to the document kind data defined in the target document definition data; and a document function providing module configured to be installed in and uninstalled from the image processing apparatus, the document function providing module configured to register additional document definition data, in which additional document kind data are defined, and an additional logical document fabricating module that corresponds to the additional document kind data.
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1. An image processing apparatus for outputting a document including a data group containing a plurality of data items, comprising: a storing part configured to store document definition data in which a plurality of document kind data indicating contents of output documents are defined in correspondence with output pattern data, the output pattern data including output method data and output condition data; a structured data fabricating part configured to fabricate structured data including the data group according to the document kind data, the structured data being independent from an output method and an output condition of the document, the structured data fabricating part including a plurality of logical document fabricating modules corresponding to the plurality of document kind data; an image data fabricating part configured to fabricate image data of the document according to the structured data; an identifying part configured to identify target document definition data among the document definition data that correspond to designated document kind data; an outputting part configured to output the image data according to the output pattern data corresponding to the document kind data defined in the target document definition data; and a document function providing module configured to be installed in and uninstalled from the image processing apparatus, the document function providing module configured to register additional document definition data, in which additional document kind data are defined, and an additional logical document fabricating module that corresponds to the additional document kind data. 7. The image processing apparatus as claimed in claim 1 , wherein the output condition data include one or more output conditions that correspond to the output method data, wherein the output conditions have a common data item.
| 0.778752 |
9,111,319 | 11 | 15 |
11. A computer-implemented method comprised of a series of instructions that cause a computer to perform a process for gathering data related to a plurality of academic users and a process for determining a reputation ranking for an academic user, the method including the steps of: for each user, determining whether the user is an academic user or a non-academic user, creating an academic user profile for each of the academic users from attribute information gathered from a user profile prompt displayed on user computers associated with the academic users, allowing the academic users to upload academic articles, enabling the academic user profiles to be viewed by both other academic users and non-academic users, allowing each of the academic users to comment on the academic articles uploaded by other academic users while restricting the non-academic users from commenting on the articles, enabling email communications between the academic users while restricting the non-academic users from emailing the academic users, enabling the academic user profile of each academic user to be selected for ranking by other academic users and enabling the other academic users to provide rank selections for the academic user profile according to at least one of research quality, credentials, research articles, and user activity of the academic user associated with the academic user profile, assigning each of the rank selections a ranking weight based upon at least one of academic credentials or publication volume of the respective selecting academic user and multiplying the rank selection by the ranking weight to create a weighted rank selection, and determining reputation rankings for the academic user profiles from the weighted rank selections.
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11. A computer-implemented method comprised of a series of instructions that cause a computer to perform a process for gathering data related to a plurality of academic users and a process for determining a reputation ranking for an academic user, the method including the steps of: for each user, determining whether the user is an academic user or a non-academic user, creating an academic user profile for each of the academic users from attribute information gathered from a user profile prompt displayed on user computers associated with the academic users, allowing the academic users to upload academic articles, enabling the academic user profiles to be viewed by both other academic users and non-academic users, allowing each of the academic users to comment on the academic articles uploaded by other academic users while restricting the non-academic users from commenting on the articles, enabling email communications between the academic users while restricting the non-academic users from emailing the academic users, enabling the academic user profile of each academic user to be selected for ranking by other academic users and enabling the other academic users to provide rank selections for the academic user profile according to at least one of research quality, credentials, research articles, and user activity of the academic user associated with the academic user profile, assigning each of the rank selections a ranking weight based upon at least one of academic credentials or publication volume of the respective selecting academic user and multiplying the rank selection by the ranking weight to create a weighted rank selection, and determining reputation rankings for the academic user profiles from the weighted rank selections. 15. The computer-implemented method of claim 11 , further including the step of: formatting the user profiles for display to the other academic users with display selection prompts, wherein the display selection prompts include selections for at least one of liking the user profile, following the user profile, copying information from the user profile, and linking the user profile to an external webpage.
| 0.5 |
9,817,907 | 1 | 2 |
1. A computer-implemented method for providing point of interest search results, the method comprising: receiving, by one or more computing devices, a search query from a user; identifying, by the one or more computing devices, a place of accommodation at which the user is staying when the user is travelling away from home; identifying, by the one or more computing devices, a plurality of points of interest that satisfy the search query; determining, by the one or more computing devices, a score for each of the plurality of points of interest according to a scoring formula, wherein the scoring formula provides the score for each of the plurality of points of interest based at least in part on a plurality of reviews of such point of interest, and wherein reviews that were provided by reviewers that were staying at the place of accommodation at the time of review have a greater influence on the score than reviews that were provided by reviewers that were not staying at the place of accommodation at the time of review; selecting, by the one or more computing devices, one or more of the plurality of points of interest to provide as search results to the user based at least in part on the plurality of scores associated with the plurality of points of interest; and providing, by the one or more computing devices, one or more annotated point of interest search results for display to the user, wherein the one or more annotated point of interest search results comprise one or more of the selected one or more points of interest annotated with an indication that they have been reviewed by a reviewer that was staying at the place of accommodation at the time of review.
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1. A computer-implemented method for providing point of interest search results, the method comprising: receiving, by one or more computing devices, a search query from a user; identifying, by the one or more computing devices, a place of accommodation at which the user is staying when the user is travelling away from home; identifying, by the one or more computing devices, a plurality of points of interest that satisfy the search query; determining, by the one or more computing devices, a score for each of the plurality of points of interest according to a scoring formula, wherein the scoring formula provides the score for each of the plurality of points of interest based at least in part on a plurality of reviews of such point of interest, and wherein reviews that were provided by reviewers that were staying at the place of accommodation at the time of review have a greater influence on the score than reviews that were provided by reviewers that were not staying at the place of accommodation at the time of review; selecting, by the one or more computing devices, one or more of the plurality of points of interest to provide as search results to the user based at least in part on the plurality of scores associated with the plurality of points of interest; and providing, by the one or more computing devices, one or more annotated point of interest search results for display to the user, wherein the one or more annotated point of interest search results comprise one or more of the selected one or more points of interest annotated with an indication that they have been reviewed by a reviewer that was staying at the place of accommodation at the time of review. 2. The computer-implemented method of claim 1 , wherein identifying, by the one or more computing devices, the place of accommodation at which the user is staying comprises: determining, by the one or more computing devices, that the user is travelling by parsing one or more flight confirmation emails.
| 0.785714 |
8,019,610 | 12 | 19 |
12. A method for automatically planning a sentence based on communicative goals, the communicative goals being related to information needed to be obtained from a user, the method comprising: generating and storing via a processor a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of generated sentence plans is a viable and potentially usable prompt in response to a single communication from the user; ranking, independent of the user, the plurality of generated sentence plans; selecting a highest ranked sentence plan of the plurality of generated sentence plans to yield a selected sentence plan; realizing the selected sentence plan to yield a realized sentence plan; and outputting the realized sentence plan to yield an output sentence plan, wherein each needed communicative goal of the communicative goals is addressed by the output sentence plan.
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12. A method for automatically planning a sentence based on communicative goals, the communicative goals being related to information needed to be obtained from a user, the method comprising: generating and storing via a processor a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of generated sentence plans is a viable and potentially usable prompt in response to a single communication from the user; ranking, independent of the user, the plurality of generated sentence plans; selecting a highest ranked sentence plan of the plurality of generated sentence plans to yield a selected sentence plan; realizing the selected sentence plan to yield a realized sentence plan; and outputting the realized sentence plan to yield an output sentence plan, wherein each needed communicative goal of the communicative goals is addressed by the output sentence plan. 19. The method of claim 12 , wherein the communicative goals comprise confirming information previously obtained from the user.
| 0.764815 |
8,914,359 | 15 | 19 |
15. One of an optical disk, a solid state storage device or a magnetic storage device having computer-executable instructions stored thereon which, and executed by a computer, cause the computer to: crawl documents to obtain document ranking features; crawl a profile database to collect social tags associated with a document, the profile database comprising a plurality of user profiles associated with a plurality of users, each user profile comprising the social tags associated with the document by at least one of the plurality of users, the social tags comprising a text string containing one or more terms at least one of describing, categorizing and providing information regarding the document, and being indexed and stored in user profile tables separately from the document they are associated with; determine, based on the social tags, a number ranking feature containing a number of times the document was tagged with the social tags by the plurality of users; determine, based on the social tags, a textual property ranking textual stream containing a union of all the social tags associated with the document by the plurality of users; transform the number ranking feature into a static input value by applying a normalization constant to the number ranking feature, the static input value being query independent; transform the textual property ranking textual stream into a dynamic query dependent input value that is query dependent and includes a number of times a given term in a query appears in the textual property ranking textual stream; and determine a document rank for the document by inputting the static input value and the dynamic query dependent input value into a ranking function, and further inputting the document ranking features into the ranking function.
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15. One of an optical disk, a solid state storage device or a magnetic storage device having computer-executable instructions stored thereon which, and executed by a computer, cause the computer to: crawl documents to obtain document ranking features; crawl a profile database to collect social tags associated with a document, the profile database comprising a plurality of user profiles associated with a plurality of users, each user profile comprising the social tags associated with the document by at least one of the plurality of users, the social tags comprising a text string containing one or more terms at least one of describing, categorizing and providing information regarding the document, and being indexed and stored in user profile tables separately from the document they are associated with; determine, based on the social tags, a number ranking feature containing a number of times the document was tagged with the social tags by the plurality of users; determine, based on the social tags, a textual property ranking textual stream containing a union of all the social tags associated with the document by the plurality of users; transform the number ranking feature into a static input value by applying a normalization constant to the number ranking feature, the static input value being query independent; transform the textual property ranking textual stream into a dynamic query dependent input value that is query dependent and includes a number of times a given term in a query appears in the textual property ranking textual stream; and determine a document rank for the document by inputting the static input value and the dynamic query dependent input value into a ranking function, and further inputting the document ranking features into the ranking function. 19. The optical disk, the solid state storage device or the magnetic storage device of claim 15 , wherein to transform the textual property ranking textual stream into the dynamic query dependent input value, the computer-readable medium having further computer-executable instructions stored thereon which, when executed by a computer, cause the computer to input textual property information associated with the textual property ranking textual stream into a Okapi Simple Best Match 25F (BM25F) ranking function to generate the dynamic query dependent input value.
| 0.5 |
8,452,782 | 8 | 15 |
8. A text mining method comprising: extracting language elements from respective document data included in a pair of document data that comprises first document data and second document data related to the first document data; extracting an element extracted from a description part of the first document data as a differential element, said description part of the first document data being related to a content that is not included in the second document data; outputting a set of the differential elements as a difference set; and performing a text mining process including a process in which a degree of characteristic of the differential element against the respective differential elements included in the difference set is statistically calculated.
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8. A text mining method comprising: extracting language elements from respective document data included in a pair of document data that comprises first document data and second document data related to the first document data; extracting an element extracted from a description part of the first document data as a differential element, said description part of the first document data being related to a content that is not included in the second document data; outputting a set of the differential elements as a difference set; and performing a text mining process including a process in which a degree of characteristic of the differential element against the respective differential elements included in the difference set is statistically calculated. 15. The text mining method according to claim 8 , wherein outputting the difference set comprises: calculating a differential score indicating a likelihood in which the element extracted from the first document data by the element extracting unit is an element extracted from the description part that relates to a content that is not included in the second document data; extracting the element having the differential score equal to or over a predetermined threshold as a differential element from the elements extracted from the first document data by the element extracting unit; and outputting the set of the differential elements as the difference set.
| 0.5 |
10,007,965 | 15 | 16 |
15. At least one non-transitory machine-readable storage medium, that is not a transitory signal, comprising instructions that when executed by a computing device, cause the computing device to: determine whether one or more portions of a compiled shader can be patched in an executable format based on global constants referenced in the compiled shader having corresponding values in a global constant buffer and modified prior to execution of the compiled shader, the compiled shader to comprise instructions in the executable format that are ready for execution via a graphics processing unit (GPU) pipeline; generating one or more patched portions based on an optimization goal comprising replacing references corresponding to global constants in the compiled shader and modified prior to execution of the compiled shader with values of the global constants from the global constant buffer; and replace the one or more portions of the compiled shader with the one or more patched portions based on a determination that the one or more portions of the compiled shader can be patched; and patch the compiled shader between a first instance the GPU executes the compiled shader and a second instance the GPU executes the compiled shader.
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15. At least one non-transitory machine-readable storage medium, that is not a transitory signal, comprising instructions that when executed by a computing device, cause the computing device to: determine whether one or more portions of a compiled shader can be patched in an executable format based on global constants referenced in the compiled shader having corresponding values in a global constant buffer and modified prior to execution of the compiled shader, the compiled shader to comprise instructions in the executable format that are ready for execution via a graphics processing unit (GPU) pipeline; generating one or more patched portions based on an optimization goal comprising replacing references corresponding to global constants in the compiled shader and modified prior to execution of the compiled shader with values of the global constants from the global constant buffer; and replace the one or more portions of the compiled shader with the one or more patched portions based on a determination that the one or more portions of the compiled shader can be patched; and patch the compiled shader between a first instance the GPU executes the compiled shader and a second instance the GPU executes the compiled shader. 16. The at least one non-transitory machine-readable storage medium of claim 15 , the instructions, when executed by the computing device cause the computing device to: identify one or more conditional statements in the compiled shader; and determine whether one or more portions of the compiled shader can be patched based on the one or more identified conditional statements.
| 0.5 |
8,600,731 | 10 | 11 |
10. The system of claim 4 , further comprising a virtual presence adjuster that manipulates a virtual presence associated with the virtually represented user within the telepresence based upon at least one of the translated communication or the identified cultural cue.
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10. The system of claim 4 , further comprising a virtual presence adjuster that manipulates a virtual presence associated with the virtually represented user within the telepresence based upon at least one of the translated communication or the identified cultural cue. 11. The system of claim 10 , the virtual presence is at least one of an avatar, a graphic, a picture, a live-video stream, a stream from a web-camera, a portion of text, a portion of video, an animated object, or a displayable item that place holds a presence for the virtually represented user within the telepresence session.
| 0.5 |
8,688,092 | 1 | 9 |
1. A method of processing a voice communication and enabling a first user to share information with other users, comprising: receiving, at an application software program installed on a mobile device associated with the first user, a voice communication including a plurality of spoken words from the first user; converting some or all of the voice communication received at the application program installed on the mobile device associated with the first user to text using at least in part a speech-to-text recognizer; identifying and selecting a voice communication gist from the translated text so as to be sufficiently concise to be transmittable via a single Short Message Service (SMS) message based at least in part on: an identification of one or more words in the translated text that correspond to respective one or more words in a vocabulary of uncommon words that are uncommon in voice communications, and a permitted length of the single SMS message; and automatically posting, by a processing system, the voice communication gist on a social networking web page, wherein the social networking web page is configured to share first user information posted on the social networking web page with others.
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1. A method of processing a voice communication and enabling a first user to share information with other users, comprising: receiving, at an application software program installed on a mobile device associated with the first user, a voice communication including a plurality of spoken words from the first user; converting some or all of the voice communication received at the application program installed on the mobile device associated with the first user to text using at least in part a speech-to-text recognizer; identifying and selecting a voice communication gist from the translated text so as to be sufficiently concise to be transmittable via a single Short Message Service (SMS) message based at least in part on: an identification of one or more words in the translated text that correspond to respective one or more words in a vocabulary of uncommon words that are uncommon in voice communications, and a permitted length of the single SMS message; and automatically posting, by a processing system, the voice communication gist on a social networking web page, wherein the social networking web page is configured to share first user information posted on the social networking web page with others. 9. The method as defined in claim 1 , wherein the voice communication is translated to text at least in part by using a context and/or location of a word or phrase to resolve translation ambiguities.
| 0.770737 |
9,262,784 | 1 | 5 |
1. A computer-implemented method comprising: extracting product descriptors from a product page; receiving a result of a search for prices of the product based on the extracted product descriptors; generating, using the result of the search for prices of the product, a price comparison result for the product displayed in the product page; identifying, using the price comparison result, a product with selected attributes; generating a buyer button, the buyer button including a direct link to the identified product with selected attributes; generating a browser toolbar and the product page contemporaneously in a client browser, wherein the browser toolbar includes a seller button, the buyer button, and the price comparison result for the product displayed in the product page; and generating, in response to operation of the seller button, a product listing on a marketplace, wherein generating the product listing includes determining a product category and a product description from the product descriptors extracted from the product page; wherein the preceding steps are performed by a computer processor.
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1. A computer-implemented method comprising: extracting product descriptors from a product page; receiving a result of a search for prices of the product based on the extracted product descriptors; generating, using the result of the search for prices of the product, a price comparison result for the product displayed in the product page; identifying, using the price comparison result, a product with selected attributes; generating a buyer button, the buyer button including a direct link to the identified product with selected attributes; generating a browser toolbar and the product page contemporaneously in a client browser, wherein the browser toolbar includes a seller button, the buyer button, and the price comparison result for the product displayed in the product page; and generating, in response to operation of the seller button, a product listing on a marketplace, wherein generating the product listing includes determining a product category and a product description from the product descriptors extracted from the product page; wherein the preceding steps are performed by a computer processor. 5. The computer-implemented method of claim 1 , wherein displaying the price comparison result for the product displayed in the product page includes displaying a suggested price for the product, and wherein extracting product descriptors from a product page includes extracting a product description from the product page that displays the product.
| 0.5 |
9,438,619 | 1 | 8 |
1. A method for calculating a trust score, the method comprising: retrieving, from a first database using processing circuitry, first data associated with a first entity in a computer network; calculating a first component score based on the first data; retrieving, from a second database using the processing circuitry, second data associated with the first entity; calculating a second component score based on the second data; calculating a weighted combination of the first component score and the second component score to produce a trust score for the first entity; receiving, from a user device of a second entity in the computer network, data indicating an attribute associated with the first entity; recalculating the first component score based on the first data and the received data indicating the attribute associated with the first entity, wherein recalculating the first component score comprises improving the first component score by a predetermined amount; updating the trust score for the first entity by calculating a weighted combination of the recalculated first component score and the second component score; receiving a request for the trust score for the first entity from a user device of a third entity in the computer network; retrieving, using the processing circuitry, data indicating paths in the computer network; and identifying, based on the retrieved data indicating paths in the computer network, a path connecting the third entity to the second entity in the computer network, the path comprising a number of links that is less than a threshold number of links.
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1. A method for calculating a trust score, the method comprising: retrieving, from a first database using processing circuitry, first data associated with a first entity in a computer network; calculating a first component score based on the first data; retrieving, from a second database using the processing circuitry, second data associated with the first entity; calculating a second component score based on the second data; calculating a weighted combination of the first component score and the second component score to produce a trust score for the first entity; receiving, from a user device of a second entity in the computer network, data indicating an attribute associated with the first entity; recalculating the first component score based on the first data and the received data indicating the attribute associated with the first entity, wherein recalculating the first component score comprises improving the first component score by a predetermined amount; updating the trust score for the first entity by calculating a weighted combination of the recalculated first component score and the second component score; receiving a request for the trust score for the first entity from a user device of a third entity in the computer network; retrieving, using the processing circuitry, data indicating paths in the computer network; and identifying, based on the retrieved data indicating paths in the computer network, a path connecting the third entity to the second entity in the computer network, the path comprising a number of links that is less than a threshold number of links. 8. The method of claim 1 , further comprising causing the trust score to be transmitted for display on the user device of the second entity.
| 0.758621 |
10,152,550 | 16 | 20 |
16. A computer program product stored in a non-transitory computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the system to analyze concept vectors over time to detect changes in a corpus by performing actions comprising: generating, by the system, at least a first concept vector set V 1 , . . . , Vk derived from a first set of concept sequences over k concepts that are extracted from the corpus and applied to a vector learning component; generating, by the system, at least a second concept vector set V′ 1 , . . . , V′k+b derived from a concatenation of the first set of concept sequences and a second set of concept sequences over k old and b new concepts that are extracted from the corpus and applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences; and performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by detecting an appearance of one or more new concepts in the second set of concept sequences that are not present in the first set of concept sequences to identify market trends for answering questions submitted to the information handling system by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences, wherein detecting the appearance of one or more new concepts comprises: computing, by the system, a first cosine distance between each vector pair V′i, V′j from the first concept vector set V′ 1 , . . . ,V′k, V′k+1, . . . , V′k+b for 1<i<k and k<j≤k+b; and identifying new concept pairs from the second set of concept sequences over k old and b new concepts having a strong interrelationship with concepts in the first set of concept sequences by reporting each concept pair V′i, V′j whereby the first cosine distance exceeds a first specified reporting threshold.
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16. A computer program product stored in a non-transitory computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the system to analyze concept vectors over time to detect changes in a corpus by performing actions comprising: generating, by the system, at least a first concept vector set V 1 , . . . , Vk derived from a first set of concept sequences over k concepts that are extracted from the corpus and applied to a vector learning component; generating, by the system, at least a second concept vector set V′ 1 , . . . , V′k+b derived from a concatenation of the first set of concept sequences and a second set of concept sequences over k old and b new concepts that are extracted from the corpus and applied to the vector learning component, where the second set of concept sequences is effectively collected after collection of the first set of concept sequences; and performing, by the system, a natural language processing (NLP) analysis of the first concept vector set and second concept vector set to detect changes in the corpus over time by detecting an appearance of one or more new concepts in the second set of concept sequences that are not present in the first set of concept sequences to identify market trends for answering questions submitted to the information handling system by identifying vector changes for one or more concepts included in the first and/or second set of concept sequences, wherein detecting the appearance of one or more new concepts comprises: computing, by the system, a first cosine distance between each vector pair V′i, V′j from the first concept vector set V′ 1 , . . . ,V′k, V′k+1, . . . , V′k+b for 1<i<k and k<j≤k+b; and identifying new concept pairs from the second set of concept sequences over k old and b new concepts having a strong interrelationship with concepts in the first set of concept sequences by reporting each concept pair V′i, V′j whereby the first cosine distance exceeds a first specified reporting threshold. 20. The computer program product of claim 16 , wherein performing the NLP analysis comprises detecting differences in spatial and/or frequency distributions of first and second concept vector sets by identifying changes in values of quantitative geometry and topology features that characterize concept regions associated, respectively, with the first and second concept vector sets.
| 0.5 |
8,306,335 | 4 | 5 |
4. A method as in claim 3 , wherein the processor partitions the binary map d into N disjoint objects O i ={(m,n)εΦ i ; d (m,n) i =1}, for i=1, 2, . . . , N, wherein each object is characterized by Φ i which is the set of pixel locations (m,n) where d (m,n) i =1 and a Φ i y ×Φ i x is a bounding box with height Φ i y and width Φ i x .
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4. A method as in claim 3 , wherein the processor partitions the binary map d into N disjoint objects O i ={(m,n)εΦ i ; d (m,n) i =1}, for i=1, 2, . . . , N, wherein each object is characterized by Φ i which is the set of pixel locations (m,n) where d (m,n) i =1 and a Φ i y ×Φ i x is a bounding box with height Φ i y and width Φ i x . 5. A method as in claim 4 , wherein the processor removes small objects and objects with bounding boxes of irregular aspect ratios as follows: O i = { { d ( m , n ) i = 0 ; ( m , n ) ∈ Φ i } if Φ i y < T y or Φ i x < T x or max ( Φ i y , Φ i x ) / min ( Φ i y , Φ i x ) > T O i otherwise where T y and T x denote a minimum height and width, respectively of an object and T is a maximum aspect ratio of the object.
| 0.5 |
8,798,255 | 1 | 2 |
1. A computerized method for automatically sectioning an audio signal of an interaction held in a call center, into sections representing the flow of the interaction, the method comprising the steps of: receiving at least a part of the audio signal from a logging and capturing unit comprising a computing platform and associated with the call center, the at least a part of the audio signal comprises a non-training production run-time interaction; performing audio analysis on the at least a part of the audio signal for obtaining run-time data; segmenting the at least a part of the audio signal into at least one context unit; extracting a feature vector as a multi-valued construct comprising at least one run-time feature of the at least one context unit, using the run-time data; classifying the at least one context unit using a sectioning model and the feature vector, to obtain at least one section label to be associated with the at least one context unit; and subsequently grouping context units assigned identical labels into one section, wherein the method is carried out by an at least one processing apparatus.
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1. A computerized method for automatically sectioning an audio signal of an interaction held in a call center, into sections representing the flow of the interaction, the method comprising the steps of: receiving at least a part of the audio signal from a logging and capturing unit comprising a computing platform and associated with the call center, the at least a part of the audio signal comprises a non-training production run-time interaction; performing audio analysis on the at least a part of the audio signal for obtaining run-time data; segmenting the at least a part of the audio signal into at least one context unit; extracting a feature vector as a multi-valued construct comprising at least one run-time feature of the at least one context unit, using the run-time data; classifying the at least one context unit using a sectioning model and the feature vector, to obtain at least one section label to be associated with the at least one context unit; and subsequently grouping context units assigned identical labels into one section, wherein the method is carried out by an at least one processing apparatus. 2. The method of claim 1 wherein the audio analysis step comprises a voice recognition step for obtaining text from the run-time interaction, and further comprising a natural language processing step applied to the text.
| 0.902482 |
9,477,991 | 53 | 56 |
53. A method, comprising: receiving, from a computing device, via the network interface and the network, a first query of at least one social network media data source indicating search data and a first geographical search region, wherein the at least one social network media data source stores user-provided data from a plurality of users provided via a plurality of computing devices associated with at least the first geographical search region; determining the first geographical search region covers a first geographical area and at least a first portion of a geographic context region intersecting the first geographical search region, wherein a first location within the geographic context region is not within the first geographical search region and wherein first social media results of the at least one social network media data source in response to the first query will not include one or more second social media results associated with one or more second locations within both the first portion of the geographic context region and the first geographical search region, at least because the one or more second locations are associated with the geographic context region and the first location is not within the first geographical search region; in response to determining the first geographical search region covers the first geographical area and the at least a first portion of the geographic context region intersecting the first geographical search region, generates at least a second query of the at least one social network media data source indicating the search data and a second geographical search region covering a second geographical area including at least a second portion of the geographic context region including the first location and the one or more second locations within the geographic context region; providing, via the network interface and the network, the at least the second query to the at least one social network media data source; receiving, from the at least one social network media data source via the network interface and the network, at least one result based on the at least the second query and based on the user-provided data stored via the at least one social network media data source, wherein the at least one result includes the one or more second social media results associated with the one or more second locations within the geographic context region and the first geographical search region; and providing the at least one result to the computing device.
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53. A method, comprising: receiving, from a computing device, via the network interface and the network, a first query of at least one social network media data source indicating search data and a first geographical search region, wherein the at least one social network media data source stores user-provided data from a plurality of users provided via a plurality of computing devices associated with at least the first geographical search region; determining the first geographical search region covers a first geographical area and at least a first portion of a geographic context region intersecting the first geographical search region, wherein a first location within the geographic context region is not within the first geographical search region and wherein first social media results of the at least one social network media data source in response to the first query will not include one or more second social media results associated with one or more second locations within both the first portion of the geographic context region and the first geographical search region, at least because the one or more second locations are associated with the geographic context region and the first location is not within the first geographical search region; in response to determining the first geographical search region covers the first geographical area and the at least a first portion of the geographic context region intersecting the first geographical search region, generates at least a second query of the at least one social network media data source indicating the search data and a second geographical search region covering a second geographical area including at least a second portion of the geographic context region including the first location and the one or more second locations within the geographic context region; providing, via the network interface and the network, the at least the second query to the at least one social network media data source; receiving, from the at least one social network media data source via the network interface and the network, at least one result based on the at least the second query and based on the user-provided data stored via the at least one social network media data source, wherein the at least one result includes the one or more second social media results associated with the one or more second locations within the geographic context region and the first geographical search region; and providing the at least one result to the computing device. 56. The method of claim 53 , wherein generating the at least the second query that includes the at least one identification of the geographic context region and that is based on the search data and the at least one social network media data source includes transforming the first query in accordance with at least one interface of the at least one social network media data source such that the at least the second query is supported as a query of the at least one social network media data source.
| 0.770929 |
8,495,151 | 1 | 4 |
1. A computerized method of providing a user with an email address of a second person by providing a system which includes at least a seeking unit running on a processor which generates said email address using a plurality of rules, the method comprising: finding a web domain for a target organization using said seeking unit; finding an email domain for said target organization using said seeking unit; collecting email addresses belonging to said email domain using said seeking unit; collecting corresponding names for said email addresses using said seeking unit; inferring patterns from said email addresses and said corresponding names using said seeking unit; and displaying probable email addresses matching said inferred patterns to said user; wherein said inferring of patterns includes: extracting usernames from said collected email addresses using said seeking unit; calculating statistical information for each of said names and said usernames; applying a first set of rules to each of said names and said usernames to obtain statistics using said seeking unit; summing up said statistics for all of said names and corresponding email addresses using said seeking unit; and applying a second set of rules to said statistics to infer said patterns in said collected email addresses using said seeking unit; and wherein said first and second sets of rules are generated by identifying patterns from email addresses collected from email addresses belonging to said email domain, and wherein said finding said email domain includes: finding the email domain which identifies said target organization and matches said web domain of said target organization; and finding said email domain which identifies said target organization and does not completely match said web domain of said target organization.
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1. A computerized method of providing a user with an email address of a second person by providing a system which includes at least a seeking unit running on a processor which generates said email address using a plurality of rules, the method comprising: finding a web domain for a target organization using said seeking unit; finding an email domain for said target organization using said seeking unit; collecting email addresses belonging to said email domain using said seeking unit; collecting corresponding names for said email addresses using said seeking unit; inferring patterns from said email addresses and said corresponding names using said seeking unit; and displaying probable email addresses matching said inferred patterns to said user; wherein said inferring of patterns includes: extracting usernames from said collected email addresses using said seeking unit; calculating statistical information for each of said names and said usernames; applying a first set of rules to each of said names and said usernames to obtain statistics using said seeking unit; summing up said statistics for all of said names and corresponding email addresses using said seeking unit; and applying a second set of rules to said statistics to infer said patterns in said collected email addresses using said seeking unit; and wherein said first and second sets of rules are generated by identifying patterns from email addresses collected from email addresses belonging to said email domain, and wherein said finding said email domain includes: finding the email domain which identifies said target organization and matches said web domain of said target organization; and finding said email domain which identifies said target organization and does not completely match said web domain of said target organization. 4. The method as claimed in claim 1 , wherein said statistics comprises: alphabet count of said usernames; number count of said usernames; separator count of said usernames; a match for first name of said name in said usernames; and a match for last name of said name in said usernames.
| 0.5 |
5,579,466 | 15 | 17 |
15. The method of claim 10 wherein the step of altering the content of the displayed data in the edit field further comprises the steps of: determining a data selection, the data selection being located in a window other than the dialog window; and incorporating the data selection into the edit field.
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15. The method of claim 10 wherein the step of altering the content of the displayed data in the edit field further comprises the steps of: determining a data selection, the data selection being located in a window other than the dialog window; and incorporating the data selection into the edit field. 17. The method of claim 15 wherein the step of incorporating comprises the substep of moving the determined data selection into the edit field.
| 0.714 |
9,519,638 | 1 | 8 |
1. A method comprising: receiving, by one or more processors, social feed data, the social feed data configured to cause a client device of a first user to display a social feed in a first language; determining, by at least one of the one or more processors, a location of the client device displaying the social feed; receiving, by at least one of the one or more processors, a user identifier of the first user; parsing, by at least one of the one or more processors, the social feed data based on the user identifier to determine a social activity of the first user; parsing the social feed data based on relationships of the first user to identify a first portion of the social feed that has been acted on by one or more users having a particular type of relationship with the first user; determining, by at least one of the one or more processors, a second language based on the location and the social activity of the first user; translating, by at least one of the one or more processor, the social feed data that is associated with the first portion of the social feed so that the translated social feed data causes the client device to display the first portion translated from the first language into the second language; and transmitting the translated social feed data to the client device.
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1. A method comprising: receiving, by one or more processors, social feed data, the social feed data configured to cause a client device of a first user to display a social feed in a first language; determining, by at least one of the one or more processors, a location of the client device displaying the social feed; receiving, by at least one of the one or more processors, a user identifier of the first user; parsing, by at least one of the one or more processors, the social feed data based on the user identifier to determine a social activity of the first user; parsing the social feed data based on relationships of the first user to identify a first portion of the social feed that has been acted on by one or more users having a particular type of relationship with the first user; determining, by at least one of the one or more processors, a second language based on the location and the social activity of the first user; translating, by at least one of the one or more processor, the social feed data that is associated with the first portion of the social feed so that the translated social feed data causes the client device to display the first portion translated from the first language into the second language; and transmitting the translated social feed data to the client device. 8. The method of claim 1 , further comprising encoding graphical data in the translated social feed data that causes the client device to generate a graphic indicating that the social feed has been translated.
| 0.775751 |
7,516,146 | 1 | 3 |
1. A system comprising: a first computer-readable storage media having stored thereon a reference dictionary file data structure, the reference dictionary file data structure including terms parsed from a plurality of documents stored in a document repository, and terms parsed from a new document received by the system but not stored in the document repository, the plurality of documents and the new document parsed without regard to any user profile, a user profile updated based at least in part on terms from the new document included in the reference dictionary file data structure and feedback from a user regarding relevance of a document received by the user before the system determines whether the new document is relevant to any user, the user profile specifying one or more areas of interest of the user; the first computer-readable storage media having stored thereon a parsed term data structure, the parsed term data structure including a one or more parsed terms and a term selection value associated with each of the one or more parsed terms, each of the parsed terms either: present in the reference dictionary file data structure indicating at least one document indicated as relevant to the user contains the term, or present in an original user profile, at least one of the parsed terms present in an original user profile and not present in the reference dictionary file data, the term selection value used for determining whether the associated term is to be included in the undated user profile; and a second computer-readable storage media having stored thereon a document dictionary index data structure and the document repository, the document dictionary index data structure including only terms located in the plurality of documents stored in the document repository.
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1. A system comprising: a first computer-readable storage media having stored thereon a reference dictionary file data structure, the reference dictionary file data structure including terms parsed from a plurality of documents stored in a document repository, and terms parsed from a new document received by the system but not stored in the document repository, the plurality of documents and the new document parsed without regard to any user profile, a user profile updated based at least in part on terms from the new document included in the reference dictionary file data structure and feedback from a user regarding relevance of a document received by the user before the system determines whether the new document is relevant to any user, the user profile specifying one or more areas of interest of the user; the first computer-readable storage media having stored thereon a parsed term data structure, the parsed term data structure including a one or more parsed terms and a term selection value associated with each of the one or more parsed terms, each of the parsed terms either: present in the reference dictionary file data structure indicating at least one document indicated as relevant to the user contains the term, or present in an original user profile, at least one of the parsed terms present in an original user profile and not present in the reference dictionary file data, the term selection value used for determining whether the associated term is to be included in the undated user profile; and a second computer-readable storage media having stored thereon a document dictionary index data structure and the document repository, the document dictionary index data structure including only terms located in the plurality of documents stored in the document repository. 3. A system as defined in claim 1 , the first computer-readable storage media including main memory and the second computer-readable storage media including mass storage.
| 0.813596 |
8,326,622 | 1 | 6 |
1. A computer system, comprising a processor and a computer readable medium storing program code configured to be executed by the processor to implement a method for filling out a form from a dialog, said method comprising: said processor providing a dialog having elements relevant for filing out said form; said processor providing a list of named entities; said processor separating said elements from said dialog using said list of named entities; said processor displaying the separated elements and said form on a computer display screen; and said processor transferring the separated elements to fill said form on said computer screen display.
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1. A computer system, comprising a processor and a computer readable medium storing program code configured to be executed by the processor to implement a method for filling out a form from a dialog, said method comprising: said processor providing a dialog having elements relevant for filing out said form; said processor providing a list of named entities; said processor separating said elements from said dialog using said list of named entities; said processor displaying the separated elements and said form on a computer display screen; and said processor transferring the separated elements to fill said form on said computer screen display. 6. The computer system of claim 1 , wherein the method further comprises: said processor generating the list of named entities from training data collected from telephone calls made to customer service providers and from generic telephony data pertinent to different domains.
| 0.5 |
7,801,909 | 46 | 50 |
46. A computer-implemented method for analyzing potential patent infringement, comprising: inputting information regarding a patent into a processing device; processing the information regarding the patent with the processing device; identifying a claim of the patent; parsing the claim to identify at least one term in the claim; formulating a search query containing the at least one term; automatically generating a natural language question for use in obtaining information from a chat room or an on-line bulletin board; transmitting the natural language question to the chat room or the on-line bulletin board; in response to the question, obtaining information regarding at least one of a product, products, a service, and services; searching the information regarding at least one of a product, products, a service, and services using the query; generating claim chart information containing at least some of the information regarding the at least one of a product, products, a service, and services; and outputting the claim chart information.
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46. A computer-implemented method for analyzing potential patent infringement, comprising: inputting information regarding a patent into a processing device; processing the information regarding the patent with the processing device; identifying a claim of the patent; parsing the claim to identify at least one term in the claim; formulating a search query containing the at least one term; automatically generating a natural language question for use in obtaining information from a chat room or an on-line bulletin board; transmitting the natural language question to the chat room or the on-line bulletin board; in response to the question, obtaining information regarding at least one of a product, products, a service, and services; searching the information regarding at least one of a product, products, a service, and services using the query; generating claim chart information containing at least some of the information regarding the at least one of a product, products, a service, and services; and outputting the claim chart information. 50. The method of claim 46 , further comprising: receiving at least one of patent information from a user communication device and a response to a request for information from an information source computer.
| 0.735294 |
8,386,485 | 1 | 6 |
1. A non-transitory physical machine readable storage medium having stored thereon instructions that that when executed by one or more processors, causes the one or more processors to perform a method comprising: a. receiving at least one query from at least one user; b. accepting at least one user preference from the at least one user using at least one user processor; c. refining the at least one query using the at least one user preference using a refining processor; d. reformulating the at least one query through semantic mediation information using at least one ontology processor; e. retrieving at least one user query case similar to the at least one query from at least one user query case base using at least one case management processor; f. maintaining at least one ontology-based index using the at least one case management processor; g. storing at least one pre-compiled user query, or at least one artifact, or a combination thereof, in at least one repository; h. decomposing the at least one query into at least one subquery using the semantic mediation information utilizing at least one query formulation processor; and i. executing the at least one subquery in order to obtain at least one search result; and wherein the at least one case management processor retrieves the at least one user query case similar to the at least one query from the at least one user query case base using at least one algorithm using at least one ontology-based index; and wherein the at least one algorithm limits a number of user query cases retrieved to a predefined maximum.
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1. A non-transitory physical machine readable storage medium having stored thereon instructions that that when executed by one or more processors, causes the one or more processors to perform a method comprising: a. receiving at least one query from at least one user; b. accepting at least one user preference from the at least one user using at least one user processor; c. refining the at least one query using the at least one user preference using a refining processor; d. reformulating the at least one query through semantic mediation information using at least one ontology processor; e. retrieving at least one user query case similar to the at least one query from at least one user query case base using at least one case management processor; f. maintaining at least one ontology-based index using the at least one case management processor; g. storing at least one pre-compiled user query, or at least one artifact, or a combination thereof, in at least one repository; h. decomposing the at least one query into at least one subquery using the semantic mediation information utilizing at least one query formulation processor; and i. executing the at least one subquery in order to obtain at least one search result; and wherein the at least one case management processor retrieves the at least one user query case similar to the at least one query from the at least one user query case base using at least one algorithm using at least one ontology-based index; and wherein the at least one algorithm limits a number of user query cases retrieved to a predefined maximum. 6. The non-transitory physical machine readable storage medium of claim 1 , wherein the at least one ontology-based index is comprised of at least one of the following: a. an ontology identifier; b. an concept index; or c. a case identifier; or d. any combination thereof.
| 0.747212 |
7,506,242 | 1 | 4 |
1. An architecture embodied on one or more computer-readable storage media, the architecture comprising: a user interface to present a document containing text and a table, wherein the table supports full spreadsheet functionality; and a table management system to manage how the table appears in the document and to manage spreadsheet functions for the table including automatic recalculation, wherein the bifurcated architecture provides document behavior operations, including one or more of spell checking, grammar checking, find, replace, and text formatting, across table boundaries, such that when invoked, document behavior operations that are applied to the text outside of the table are applied across a table boundary to text inside the table.
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1. An architecture embodied on one or more computer-readable storage media, the architecture comprising: a user interface to present a document containing text and a table, wherein the table supports full spreadsheet functionality; and a table management system to manage how the table appears in the document and to manage spreadsheet functions for the table including automatic recalculation, wherein the bifurcated architecture provides document behavior operations, including one or more of spell checking, grammar checking, find, replace, and text formatting, across table boundaries, such that when invoked, document behavior operations that are applied to the text outside of the table are applied across a table boundary to text inside the table. 4. The architecture of claim 1 , wherein the table management system comprises: a cell table to maintain data values and formulas used in the table; and a format table to maintain formatting information used in the table.
| 0.744804 |
7,930,169 | 14 | 15 |
14. A natural language generation system for generating a natural language description of a user-selected item comparing the user-selected item to at least one comparison item, wherein the characteristics of each item are defined by a plurality of specifications, the system comprising: a natural language generator server including a central processing unit, a non-transitory memory device, and an interface circuit, wherein the non-transitory memory device stores a plurality of modules executing on the central processing unit, the modules including: a data parser/normalizer retrieving the specifications for the user-selected item and the at least one comparison item from a storage medium via the interface unit, each specification including a comparison function that compares the specification for the user-selected item to the specification for the comparison item and a plurality of sentence templates each having a recursive phrase structure including a plurality of coded phrases using one or more of the specification for the user-selected item or the specification for the comparison item; a comparator comparing the specifications for the user-selected item to the specifications for the at least one comparison item by evaluating each comparison function to determine a comparison function result and assigning a textual representation to each comparison function result; a language engine evaluating the plurality of sentence templates to generate a plurality of natural language sentences describing the user-selected item by recursively expanding the recursive phrase structure, wherein the natural language sentences include each assigned textual representation and a recursive expansion result explains the outcome of the comparisons in natural language; and a document generator combining the natural language sentences generated by the language engine into a natural language document describing the user-selected item.
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14. A natural language generation system for generating a natural language description of a user-selected item comparing the user-selected item to at least one comparison item, wherein the characteristics of each item are defined by a plurality of specifications, the system comprising: a natural language generator server including a central processing unit, a non-transitory memory device, and an interface circuit, wherein the non-transitory memory device stores a plurality of modules executing on the central processing unit, the modules including: a data parser/normalizer retrieving the specifications for the user-selected item and the at least one comparison item from a storage medium via the interface unit, each specification including a comparison function that compares the specification for the user-selected item to the specification for the comparison item and a plurality of sentence templates each having a recursive phrase structure including a plurality of coded phrases using one or more of the specification for the user-selected item or the specification for the comparison item; a comparator comparing the specifications for the user-selected item to the specifications for the at least one comparison item by evaluating each comparison function to determine a comparison function result and assigning a textual representation to each comparison function result; a language engine evaluating the plurality of sentence templates to generate a plurality of natural language sentences describing the user-selected item by recursively expanding the recursive phrase structure, wherein the natural language sentences include each assigned textual representation and a recursive expansion result explains the outcome of the comparisons in natural language; and a document generator combining the natural language sentences generated by the language engine into a natural language document describing the user-selected item. 15. A natural language generation system according to claim 14 , wherein the data parser/normalizer retrieves specification information for the user-selected item and the at least one comparison item from the storage medium, and extracts values of each of the specifications from the retrieved specification information.
| 0.824369 |
9,542,612 | 14 | 17 |
14. The system of claim 13 , wherein generating the superresolution version of the candidate text region comprises: obtaining a plurality of versions of the candidate text region, each version obtained from a corresponding image of the plurality of images; aligning the versions of the candidate text region to a high resolution grid; and compositing the aligned versions of the candidate text region to generate the superresolution version of the candidate text region.
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14. The system of claim 13 , wherein generating the superresolution version of the candidate text region comprises: obtaining a plurality of versions of the candidate text region, each version obtained from a corresponding image of the plurality of images; aligning the versions of the candidate text region to a high resolution grid; and compositing the aligned versions of the candidate text region to generate the superresolution version of the candidate text region. 17. The system of claim 14 , wherein aligning the versions of the candidate text region comprises: receiving ranging data and movement information associated with each version of the candidate text region; and aligning the versions of the candidate text region based at least in part on the received ranging data and movement information.
| 0.55409 |
6,112,304 | 2 | 24 |
2. The method of claim 1, wherein each location provides access to a processor for executing instructions and each location provides a memory accessible to the processor for storing instructions.
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2. The method of claim 1, wherein each location provides access to a processor for executing instructions and each location provides a memory accessible to the processor for storing instructions. 24. The method of claim 2, further comprising the step of furnishing at least one pod denizen which tracks movement of the user denizen between locations in the operational environment.
| 0.530457 |
8,019,160 | 5 | 6 |
5. The method according to claim 1 , further comprising the steps of: selecting a reference prototype for each allograph to be modified; determining the distance value for each reference prototype; determining an average of the determined distance values; and, modifying the weighting of each allograph in accordance with the distance value of the respective reference prototype and the average distance value.
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5. The method according to claim 1 , further comprising the steps of: selecting a reference prototype for each allograph to be modified; determining the distance value for each reference prototype; determining an average of the determined distance values; and, modifying the weighting of each allograph in accordance with the distance value of the respective reference prototype and the average distance value. 6. The method according to claim 5 , wherein the reference prototype is selected on the basis of being the prototype having the lowest distance value for the respective allograph.
| 0.5 |
7,991,799 | 1 | 3 |
1. A computer-implemented method of creating a schema specific parser for processing Extensible Markup Language (XML) documents, the method comprising: identifying a plurality of XML processing templates, wherein each of the plurality of XML processing templates performs a specific task of processing an XML document against an XML schema component; receiving an XML schema comprising a plurality of components, the XML schema specifying classes of allowable XML documents or XML messages that a system will accept; determining a hierarchy of the plurality of components of the XML schema; creating an execution plan specifying a hierarchy of XML processing instructions, wherein each XML processing instruction is associated with an XML processing template from the plurality of XML processing templates, wherein the hierarchy of XML processing instructions is determined according to the hierarchy of components of the XML schema; compiling the execution plan to generate the schema specific parser; and outputting the schema specific parser.
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1. A computer-implemented method of creating a schema specific parser for processing Extensible Markup Language (XML) documents, the method comprising: identifying a plurality of XML processing templates, wherein each of the plurality of XML processing templates performs a specific task of processing an XML document against an XML schema component; receiving an XML schema comprising a plurality of components, the XML schema specifying classes of allowable XML documents or XML messages that a system will accept; determining a hierarchy of the plurality of components of the XML schema; creating an execution plan specifying a hierarchy of XML processing instructions, wherein each XML processing instruction is associated with an XML processing template from the plurality of XML processing templates, wherein the hierarchy of XML processing instructions is determined according to the hierarchy of components of the XML schema; compiling the execution plan to generate the schema specific parser; and outputting the schema specific parser. 3. The computer-implemented method of claim 1 , wherein creating an execution plan further comprises selecting, for inclusion in the execution plan, at least one XML processing instruction associated with an XML processing template that checks a section read by the schema specific parser against a component type associated with the section.
| 0.502907 |
7,831,904 | 5 | 11 |
5. A method for creating sources for automatically creating a document in a first hierarchical structure, said method comprising the steps of: automatically creating a document in a first preliminary hierarchical structure using data transmitted from an original document in a second hierarchical structure; automatically creating a preliminary stylesheet document associated with said document in said first preliminary hierarchical structure; mutually mapping said document in said first preliminary hierarchical structure and said preliminary stylesheet document; automatically creating a type definition and validity verification means from said document in said first hierarchical structure, wherein said type definition and validity verification means that is associated with said document in said first hierarchical structure is able to define a data type of said document in said first hierarchical structure and verify data type validity; automatically creating a data value setup means from said document in said first hierarchical structure, wherein said data value setup means is able to access and set up data values of said first hierarchical structure of said document, said data value setup means being associated with said document in said first hierarchical structure; and automatically creating a document in said second hierarchical structure for inserting from said stylesheet document and said type definition and validity verification document, wherein said document created in said second hierarchical structure allows for a new document in said first hierarchical structure to be created by sending input data to said data value setup document.
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5. A method for creating sources for automatically creating a document in a first hierarchical structure, said method comprising the steps of: automatically creating a document in a first preliminary hierarchical structure using data transmitted from an original document in a second hierarchical structure; automatically creating a preliminary stylesheet document associated with said document in said first preliminary hierarchical structure; mutually mapping said document in said first preliminary hierarchical structure and said preliminary stylesheet document; automatically creating a type definition and validity verification means from said document in said first hierarchical structure, wherein said type definition and validity verification means that is associated with said document in said first hierarchical structure is able to define a data type of said document in said first hierarchical structure and verify data type validity; automatically creating a data value setup means from said document in said first hierarchical structure, wherein said data value setup means is able to access and set up data values of said first hierarchical structure of said document, said data value setup means being associated with said document in said first hierarchical structure; and automatically creating a document in said second hierarchical structure for inserting from said stylesheet document and said type definition and validity verification document, wherein said document created in said second hierarchical structure allows for a new document in said first hierarchical structure to be created by sending input data to said data value setup document. 11. The method as set forth in claim 5 , wherein said stylesheet document is an XSL document.
| 0.872603 |
8,145,632 | 34 | 35 |
34. The computer system of claim 21 , further comprising: instructions for displaying at least a portion of the identified document in a document view window in response to a user selection of the link to the identified chunk, wherein the displayed portion includes, at least partially, the identified chunk; instructions for highlighting the identified chunk in the document view window; and instructions for highlighting terms that satisfy the search keywords in the identified chunk such that they are visually distinguishable over the rest of the identified chunk.
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34. The computer system of claim 21 , further comprising: instructions for displaying at least a portion of the identified document in a document view window in response to a user selection of the link to the identified chunk, wherein the displayed portion includes, at least partially, the identified chunk; instructions for highlighting the identified chunk in the document view window; and instructions for highlighting terms that satisfy the search keywords in the identified chunk such that they are visually distinguishable over the rest of the identified chunk. 35. The computer system of claim 34 , wherein the identified chunk is defined by a pair of unique chunk virtual delimiters within the identified document.
| 0.5 |
9,600,275 | 1 | 2 |
1. A method for reviewing software source code, the method comprising: receiving, by a computer, a changeset object containing information that identifies text changes made to source code statements in a source code module; creating, by the computer, a workflow of the source code module after the text changes identified in the changeset, wherein the workflow identifies execution paths among logical groupings of source code statements in the source code module; identifying, by the computer, logical groupings of source code statements in the workflow that contain text changes identified in the changeset; generating, by the computer, an integrated graphical user interface (GUI) that will: display source code statements in the source code module with a visual indication of the identified text changes; display the workflow with a visual indication of the logical groupings of source code statements in the source code module that contain the text changes identified in the changeset; visually indicate logical groupings in the workflow that contain text changes that are selected by a user in the displayed source code statements; visually indicate source code statements in the displayed source code statements that are contained in a selected logical grouping in the workflow; link comments, entered by the user, that are associated with a source code statement in the displayed source code statements to the logical groupings in the workflow that contain the associated source code statements; link comments, entered by the user, that are associated with a logical grouping in the workflow to the source code statements in the displayed source code statements that contain the associated logical grouping; visually indicate the linked logical groupings when a source code statement in the displayed source code statements is selected; and visually indicate the linked source code statements when a logical grouping in the workflow is selected.
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1. A method for reviewing software source code, the method comprising: receiving, by a computer, a changeset object containing information that identifies text changes made to source code statements in a source code module; creating, by the computer, a workflow of the source code module after the text changes identified in the changeset, wherein the workflow identifies execution paths among logical groupings of source code statements in the source code module; identifying, by the computer, logical groupings of source code statements in the workflow that contain text changes identified in the changeset; generating, by the computer, an integrated graphical user interface (GUI) that will: display source code statements in the source code module with a visual indication of the identified text changes; display the workflow with a visual indication of the logical groupings of source code statements in the source code module that contain the text changes identified in the changeset; visually indicate logical groupings in the workflow that contain text changes that are selected by a user in the displayed source code statements; visually indicate source code statements in the displayed source code statements that are contained in a selected logical grouping in the workflow; link comments, entered by the user, that are associated with a source code statement in the displayed source code statements to the logical groupings in the workflow that contain the associated source code statements; link comments, entered by the user, that are associated with a logical grouping in the workflow to the source code statements in the displayed source code statements that contain the associated logical grouping; visually indicate the linked logical groupings when a source code statement in the displayed source code statements is selected; and visually indicate the linked source code statements when a logical grouping in the workflow is selected. 2. The method of claim 1 , wherein the linked comments include specific line comments, general global document comments, added workflow branches and elements, deleted workflow branches and elements, and modified workflow branches and elements.
| 0.697007 |
10,102,278 | 1 | 9 |
1. A computerized method for providing recommendations from a recommendation engine using an implicit profile of a user which implicit profile is continuously modifiable, comprising: providing the user with access to the recommendation engine for providing recommended items and peers in response to a user inquiry on a specific topic; storing an explicit profile and the implicit profile for the user in a profile database associated with the recommendation engine; providing the user with electronic access to the recommended items in response to the user inquiry, the recommended items comprising at least one of a document, an article, a chart, a graphic, a report, and a web page, the recommended items being maintained in at least one of a private recommendation engine database and a remote server in communication with the recommendation engine; enabling user interaction with an accessed item selected from the recommended items; electronically tracking the user interaction with the accessed item; recording details of the user interaction with the accessed item; prioritizing the details of the user interaction based on at least one of recency of the user interaction, significance of the user interaction, and depth of the user interaction; modifying the implicit profile based on the prioritized details of the user interaction; determining at least one other user to be an expert peer having expertise relating to the specific topic based on the implicit profile or the modified implicit profile of the at least one other user; and providing at least one or more expert peer recommendations to the user based on at least one of the implicit profile or the modified implicit profile of the user and the implicit profile or the modified implicit profile of the expert peer; wherein: the explicit profile comprises data provided by the user to the recommendation engine; the implicit profile in an unmodified state comprises information obtained from user behavior; the information obtained from the user behavior comprises one or more of key words used in key word searches, articles reviewed, web pages reviewed, articles purchased, discussions reviewed, discussions participated in, peer profiles selected for connection, articles or web pages saved or downloaded, and items clicked on in an info-graphics chart; the user interaction comprises at least one of annotating, highlighting, modifying, customizing, and adding comments to the accessed item; the details of the user interaction comprise at least one of: meta data describing the accessed item being annotated, modified, customized, commented on, or highlighted; meta data assigned to the annotation, modification, customization, comment, or highlighting; and results of sentiment analysis of the annotation, modification, customization, comment, or highlighted content; the implicit profile comprises a modifiable attributes field and a modifiable recency field; and the modifying of the implicit profile based on the prioritized details of the user interaction comprises modifying the attributes field to include the details of the user interaction and modifying the recency field to include a time stamp corresponding to a time of the user interaction.
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1. A computerized method for providing recommendations from a recommendation engine using an implicit profile of a user which implicit profile is continuously modifiable, comprising: providing the user with access to the recommendation engine for providing recommended items and peers in response to a user inquiry on a specific topic; storing an explicit profile and the implicit profile for the user in a profile database associated with the recommendation engine; providing the user with electronic access to the recommended items in response to the user inquiry, the recommended items comprising at least one of a document, an article, a chart, a graphic, a report, and a web page, the recommended items being maintained in at least one of a private recommendation engine database and a remote server in communication with the recommendation engine; enabling user interaction with an accessed item selected from the recommended items; electronically tracking the user interaction with the accessed item; recording details of the user interaction with the accessed item; prioritizing the details of the user interaction based on at least one of recency of the user interaction, significance of the user interaction, and depth of the user interaction; modifying the implicit profile based on the prioritized details of the user interaction; determining at least one other user to be an expert peer having expertise relating to the specific topic based on the implicit profile or the modified implicit profile of the at least one other user; and providing at least one or more expert peer recommendations to the user based on at least one of the implicit profile or the modified implicit profile of the user and the implicit profile or the modified implicit profile of the expert peer; wherein: the explicit profile comprises data provided by the user to the recommendation engine; the implicit profile in an unmodified state comprises information obtained from user behavior; the information obtained from the user behavior comprises one or more of key words used in key word searches, articles reviewed, web pages reviewed, articles purchased, discussions reviewed, discussions participated in, peer profiles selected for connection, articles or web pages saved or downloaded, and items clicked on in an info-graphics chart; the user interaction comprises at least one of annotating, highlighting, modifying, customizing, and adding comments to the accessed item; the details of the user interaction comprise at least one of: meta data describing the accessed item being annotated, modified, customized, commented on, or highlighted; meta data assigned to the annotation, modification, customization, comment, or highlighting; and results of sentiment analysis of the annotation, modification, customization, comment, or highlighted content; the implicit profile comprises a modifiable attributes field and a modifiable recency field; and the modifying of the implicit profile based on the prioritized details of the user interaction comprises modifying the attributes field to include the details of the user interaction and modifying the recency field to include a time stamp corresponding to a time of the user interaction. 9. A method in accordance with claim 1 , wherein: the accessed item comprises an info-graphics chart with weighted data elements; the user interaction comprises modification of one or more weights assigned to the data elements.
| 0.646417 |
7,788,266 | 15 | 26 |
15. A system for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the system comprising: a collection of subsets of content items associated with corresponding strings of one or more unresolved keystrokes for overloaded keys, the subsets of content items being ranked and associated with the content items based on an ordering criteria so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; and a computer memory comprising instructions for causing a computer system to: receive a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items select and present the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receive subsequent unresolved keystrokes from the user and form a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; and select and present the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting and presenting the subset of content items that is associated with the first unresolved keystroke and selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes selects the subset of content items using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure.
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15. A system for searching a relatively large set of content items in response to unresolved keystroke entry by a user from a keypad with overloaded keys in which a given key is in fixed association with a plurality of alphabetical and numerical symbols and the entry has relatively few keystrokes so that a subset of targeted content item results is quickly presented, the system comprising: a collection of subsets of content items associated with corresponding strings of one or more unresolved keystrokes for overloaded keys, the subsets of content items being ranked and associated with the content items based on an ordering criteria so that the subsets of content items are directly mapped to the corresponding strings of unresolved keystrokes; and a computer memory comprising instructions for causing a computer system to: receive a first unresolved keystroke from a user, wherein one of the plurality of alphabetical and numerical symbols in fixed association with the first unresolved keystroke is a symbol the user is using to search for desired content items select and present the subset of content items that is associated with the first unresolved keystroke based on the direct mapping of unresolved keystrokes to the subsets of content items; subsequent to receiving the first unresolved keystroke, receive subsequent unresolved keystrokes from the user and form a string of unresolved keystrokes including the first unresolved keystroke and the subsequent unresolved keystrokes in the order received; and select and present the subset of content items that is associated with the string of unresolved keystrokes received based on the direct mapping of unresolved keystrokes to the subsets of content items; wherein at least one of selecting and presenting the subset of content items that is associated with the first unresolved keystroke and selecting and presenting the subset of content items that is associated with the string of unresolved keystrokes selects the subset of content items using a data structure or a term intersection process or a combination thereof, the data structure including a first storage structure and a second storage structure, the first storage structure including a plurality of subsets of content items, each subset being associated with a corresponding string of unresolved keystrokes, wherein using the data structure to select a subset of content items includes returning the subset of content items of the first storage structure that is associated with the string of unresolved keystrokes entered by the user and retrieving additional content items from the second storage structure if the desired content items are not present in the first storage structure. 26. The system of claim 15 wherein said items comprise products or services sought by said user.
| 0.900621 |
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