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8,447,754 | 1 | 9 | 1. A method of optimizing database queries in a multi-tenant database system having a relational data store and a non-relational data store, the method comprising: receiving a request at a host system for the multi-tenant database system, the request specifying data to be retrieved from the multi-tenant database system; retrieving, based on the request via the host system, one or more locations of the data to be retrieved; generating, at the host system, a database query based on the request, wherein the database query specifies a plurality of data elements to be retrieved, the plurality of data elements including one or more data elements residing within the non-relational data store and one or more other data elements residing within the relational data store; optimizing the database query via a query optimizer to generate an optimized database query having an optimized query syntax that is distinct from a query syntax of the database query; executing the optimized database query against the multi-tenant database system to retrieve the data; wherein optimizing the database query comprises: (i) identifying a first sub-query to a table within relational data store, the first sub-query corresponding to the first portion of the data to be retrieved, (ii) identifying a second sub-query to the non-relational data store; the second sub-query corresponding to the second portion of the data to be retrieved, (iii) replicating the table within the relational data store to the non-relational data store, and (iv) generating the optimized database query with one or more sub-queries to fetch both the first portion of the data to be retrieved and the second portion of the data to be retrieved from the non-relational data store; and wherein the database query comprises a specified order for two or more database join operations in which at least one of the database join operations comprises joining a child table from the non-relational data store with a master table from the relational data store and wherein optimizing the database query further comprises modifying the specified order for the two or more database join operations. | 1. A method of optimizing database queries in a multi-tenant database system having a relational data store and a non-relational data store, the method comprising: receiving a request at a host system for the multi-tenant database system, the request specifying data to be retrieved from the multi-tenant database system; retrieving, based on the request via the host system, one or more locations of the data to be retrieved; generating, at the host system, a database query based on the request, wherein the database query specifies a plurality of data elements to be retrieved, the plurality of data elements including one or more data elements residing within the non-relational data store and one or more other data elements residing within the relational data store; optimizing the database query via a query optimizer to generate an optimized database query having an optimized query syntax that is distinct from a query syntax of the database query; executing the optimized database query against the multi-tenant database system to retrieve the data; wherein optimizing the database query comprises: (i) identifying a first sub-query to a table within relational data store, the first sub-query corresponding to the first portion of the data to be retrieved, (ii) identifying a second sub-query to the non-relational data store; the second sub-query corresponding to the second portion of the data to be retrieved, (iii) replicating the table within the relational data store to the non-relational data store, and (iv) generating the optimized database query with one or more sub-queries to fetch both the first portion of the data to be retrieved and the second portion of the data to be retrieved from the non-relational data store; and wherein the database query comprises a specified order for two or more database join operations in which at least one of the database join operations comprises joining a child table from the non-relational data store with a master table from the relational data store and wherein optimizing the database query further comprises modifying the specified order for the two or more database join operations. 9. The method of claim 1 , wherein optimizing the database query further comprises: identifying a first sub-query to the non-relational data store; identifying a second sub-query to the relational data store, wherein the second sub-query comprises a data delta query to an append log of the relational data store for new or updated data elements within the scope of the first sub-query to the non-relational data store which are not yet flushed from the append log of the relational data store to the non-relational data store; executing a flush against the relational data store to flush the new or updated data elements within the append log of the relational data store to the non-relational data store; and eliminating the second sub-query to the relational data store from the optimized database query. | 0.646982 |
10,015,177 | 1 | 17 | 1. A method comprising: receiving, by a computer system, first event data indicative of computer network activity of a plurality of users and network devices in a computer network; generating, by the computer system, classification metadata for each of the network devices and users, based on the first event data, to indicate relevance in a network security context of each of the users and network devices; identifying, by the computer system, usage relationships between one or more of the users and one or more of the network devices, based on first event data; assigning, by the computer system, usage similarity scores to the network devices based on the identified usage relationships, the usage similarity scores being indicative of which of the network devices have been used by the same or similar group of users; receiving, by the computer system, second event data indicative of computer network activity of a particular user of the plurality of users; and detecting, by the computer system and in response to the second event data, an anomaly indicative that the particular user has interacted with a particular network device with which the particular user does not normally interact, based on the usage similarity scores and the classification metadata. | 1. A method comprising: receiving, by a computer system, first event data indicative of computer network activity of a plurality of users and network devices in a computer network; generating, by the computer system, classification metadata for each of the network devices and users, based on the first event data, to indicate relevance in a network security context of each of the users and network devices; identifying, by the computer system, usage relationships between one or more of the users and one or more of the network devices, based on first event data; assigning, by the computer system, usage similarity scores to the network devices based on the identified usage relationships, the usage similarity scores being indicative of which of the network devices have been used by the same or similar group of users; receiving, by the computer system, second event data indicative of computer network activity of a particular user of the plurality of users; and detecting, by the computer system and in response to the second event data, an anomaly indicative that the particular user has interacted with a particular network device with which the particular user does not normally interact, based on the usage similarity scores and the classification metadata. 17. The method of claim 1 , wherein said detecting an anomaly comprises: detecting that the particular user has interacted with the particular network device; calculating an anomaly score for the particular user based on a difference between a usage similarity score of the particular network device and a statistical measure of usage similarity scores of other network devices with which the user has interacted; and detecting the anomaly in response to detecting that the anomaly score exceeds an anomaly threshold value. | 0.7385 |
8,707,261 | 1 | 8 | 1. A method for integrating a service into an application, the method comprising: receiving an application extensibility description for an application, the application extensibility description including a set of application extension points; receiving a service description for a service, the service description including a set of service elements; receiving a specification of an integration design comprising a plurality of atomic adaptation patterns to link particular service elements in the service description to particular application extension points in the application extensibility description, wherein the plurality of atomic adaptation patterns define a plurality of steps for integrating the service into a plurality of application layers of the application, the application layers comprising a presentation layer, a business process layer, a service layer, and a configuration layer, and wherein each atomic adaptation pattern comprises one or more ports coupled to particular service elements in the service description and one or more ports coupled to particular application extension points in the application extensibility description; generating, by a computing device, an integration description based on the integration design, wherein the integration description is used to execute integration of the application with the service; generating a query for a recommendation for connecting an application extension point in the application extensibility description to a service element in the service description based on a context, the context being a state of the adaption/extension of the service into the application; searching a semantic model to determine a search result indicating a recommended connection of an application extension point in the application extensibility description to a service element in the service description based on the query; and changing the integration design based on the recommended connection. | 1. A method for integrating a service into an application, the method comprising: receiving an application extensibility description for an application, the application extensibility description including a set of application extension points; receiving a service description for a service, the service description including a set of service elements; receiving a specification of an integration design comprising a plurality of atomic adaptation patterns to link particular service elements in the service description to particular application extension points in the application extensibility description, wherein the plurality of atomic adaptation patterns define a plurality of steps for integrating the service into a plurality of application layers of the application, the application layers comprising a presentation layer, a business process layer, a service layer, and a configuration layer, and wherein each atomic adaptation pattern comprises one or more ports coupled to particular service elements in the service description and one or more ports coupled to particular application extension points in the application extensibility description; generating, by a computing device, an integration description based on the integration design, wherein the integration description is used to execute integration of the application with the service; generating a query for a recommendation for connecting an application extension point in the application extensibility description to a service element in the service description based on a context, the context being a state of the adaption/extension of the service into the application; searching a semantic model to determine a search result indicating a recommended connection of an application extension point in the application extensibility description to a service element in the service description based on the query; and changing the integration design based on the recommended connection. 8. The method of claim 1 , wherein the service description and application extensibility description include a set of models that define the set of application extension points and the set of service elements. | 0.731362 |
10,140,591 | 11 | 17 | 11. The computer readable medium of claim 10 , wherein the plurality of data sources comprises social network sources. | 11. The computer readable medium of claim 10 , wherein the plurality of data sources comprises social network sources. 17. The computer readable medium of claim 11 , wherein the subset of the content related to the post object comprises profile information corresponding to one or more users of the plurality of users, wherein the one or more users are associated with the post object. | 0.5 |
7,966,163 | 1 | 5 | 1. A computer-implemented system for simulating a scenario involving at least one participant, the computer-implemented system comprising: a role assigned to the participant; a user interface associated with the participant and with the role, the user interface configured to allow the participant to select from a plurality of choices upon the role being presented with a plurality of choices; decision logic configured to present a decision to the role upon the decision logic being triggered, the decision comprising a plurality of choices; a first event configured to be activated upon accumulating a quantity of points over a first threshold; and a second event configured to be activated upon accumulating a quantity of points over a second threshold; whereby the first event and the second event are simulated as part of the scenario upon activation. | 1. A computer-implemented system for simulating a scenario involving at least one participant, the computer-implemented system comprising: a role assigned to the participant; a user interface associated with the participant and with the role, the user interface configured to allow the participant to select from a plurality of choices upon the role being presented with a plurality of choices; decision logic configured to present a decision to the role upon the decision logic being triggered, the decision comprising a plurality of choices; a first event configured to be activated upon accumulating a quantity of points over a first threshold; and a second event configured to be activated upon accumulating a quantity of points over a second threshold; whereby the first event and the second event are simulated as part of the scenario upon activation. 5. The system of claim 1 further comprising message logic configured to present a message to the role upon the message logic being triggered, wherein the second event is configured to activate the message logic upon the second event being activated. | 0.582215 |
7,742,106 | 28 | 29 | 28. The apparatus of claim 27 , wherein the first menu is selectable from a plurality of menus for priority designation and for setting a language for each of the OSD function, the audio function, and the caption function. | 28. The apparatus of claim 27 , wherein the first menu is selectable from a plurality of menus for priority designation and for setting a language for each of the OSD function, the audio function, and the caption function. 29. The apparatus of claim 28 , wherein the first menu corresponds to the priority designation, and wherein the at least one other function corresponds to a set of menus including at least one selected from the group consisting of the OSD function menu, the audio function menu, and the caption function menu. | 0.5 |
9,367,878 | 14 | 17 | 14. An information processing system for recommending content in a social network, said information processing system comprising: a processor; and memory comprising computer-executable instructions that when executed by the processor perform a method, comprising: for a user: logging a set of actions; categorizing the set of actions into interest categories; weighting the interest categories to generate weighted interest categories, the weighting comprising: for a first interest category associated with a first subset of the set of actions: identifying one or more types of actions associated with the first interest category, respective types of actions associated with an action weight, the identifying comprising: identifying a first type of action corresponding to a search action, a subscribe action or a click action, a second type of action, and a third type of action, the first type of action, the second type of action and the third type of action associated with the first interest category, the first type of action having a first action weight, the second type of action having a second action weight, and the third type of action having a third action weight; and assigning a first weight to the first interest category based on the one or more types of actions associated with the first interest category and an action weight associated with each of the one or more types of actions; and calculating an interest social index for the user as a function of the weighted interest categories; for a second user within the social network of the user: logging a second set of actions; categorizing the second set of actions into a second set of interest categories; weighting the second set of interest categories to generate a second set of weighted interest categories; and calculating an interest social index for the second user as a function of the weighted interest categories; and calculating an influencer social index for the user based on the interest social index for the second user. | 14. An information processing system for recommending content in a social network, said information processing system comprising: a processor; and memory comprising computer-executable instructions that when executed by the processor perform a method, comprising: for a user: logging a set of actions; categorizing the set of actions into interest categories; weighting the interest categories to generate weighted interest categories, the weighting comprising: for a first interest category associated with a first subset of the set of actions: identifying one or more types of actions associated with the first interest category, respective types of actions associated with an action weight, the identifying comprising: identifying a first type of action corresponding to a search action, a subscribe action or a click action, a second type of action, and a third type of action, the first type of action, the second type of action and the third type of action associated with the first interest category, the first type of action having a first action weight, the second type of action having a second action weight, and the third type of action having a third action weight; and assigning a first weight to the first interest category based on the one or more types of actions associated with the first interest category and an action weight associated with each of the one or more types of actions; and calculating an interest social index for the user as a function of the weighted interest categories; for a second user within the social network of the user: logging a second set of actions; categorizing the second set of actions into a second set of interest categories; weighting the second set of interest categories to generate a second set of weighted interest categories; and calculating an interest social index for the second user as a function of the weighted interest categories; and calculating an influencer social index for the user based on the interest social index for the second user. 17. The information processing system of claim 14 , the first type of action corresponding to the search action. | 0.726829 |
8,959,443 | 1 | 4 | 1. A method for providing an interface for object relationships, comprising: (a) receiving, at a host system from a user machine that is remote from the host system, a selection of at least a first object and a second object stored in an on-demand database service on a memory system of the host system and a definition of at least one relationship between the first object and the second object; (b) providing, to the user machine, based upon the at least one relationship between the first object and the second object, a diagram pictorially illustrating the at least one relationship; and (c) providing, to the user machine, a pictorial representation of a report that illustrates the at least one relationship, the pictorial representation having a visual appearance suggestive of a report; the pictorial representation not being the report; and the pictorial representation of the report being different than the diagram; (d) providing, to the user machine, in association with the pictorial representation of the report and the diagram, a representation of choices of data relationships, the representation of choices including at least one or more links for accepting user input, and a configurable hierarchical arrangement of selected relationships; (e) receiving, at the host system, user input at the server via the one or more links; (f) computing a new arrangement that is an update to the configurable hierarchical arrangement, an update to the diagram, and an update to the pictorial representation of the report; (g) providing to the user machine the update to the diagram, the update to the pictorial representation of the report and the new arrangement in association with the diagram and the pictorial indication. | 1. A method for providing an interface for object relationships, comprising: (a) receiving, at a host system from a user machine that is remote from the host system, a selection of at least a first object and a second object stored in an on-demand database service on a memory system of the host system and a definition of at least one relationship between the first object and the second object; (b) providing, to the user machine, based upon the at least one relationship between the first object and the second object, a diagram pictorially illustrating the at least one relationship; and (c) providing, to the user machine, a pictorial representation of a report that illustrates the at least one relationship, the pictorial representation having a visual appearance suggestive of a report; the pictorial representation not being the report; and the pictorial representation of the report being different than the diagram; (d) providing, to the user machine, in association with the pictorial representation of the report and the diagram, a representation of choices of data relationships, the representation of choices including at least one or more links for accepting user input, and a configurable hierarchical arrangement of selected relationships; (e) receiving, at the host system, user input at the server via the one or more links; (f) computing a new arrangement that is an update to the configurable hierarchical arrangement, an update to the diagram, and an update to the pictorial representation of the report; (g) providing to the user machine the update to the diagram, the update to the pictorial representation of the report and the new arrangement in association with the diagram and the pictorial indication. 4. The method of claim 1 , the first database object and the second database object being part of a collection of at least two database objects, and the providing of the diagram includes: determining locations within the diagram for placing representations of at least the first database object and the second database object. | 0.814351 |
8,484,141 | 1 | 8 | 1. A method comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining, by a data processor, a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. | 1. A method comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining, by a data processor, a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. 8. The method of claim 1 , where loading the first ontology comprises: accessing a central server; and downloading the first ontology from the central server. | 0.625592 |
9,741,337 | 7 | 8 | 7. The computer system of claim 1 , wherein the dynamically verifying the accuracy of the user-specific subject-specific output transcript of the to-be-transcribed speech audio data comprises: dynamically comparing, by the adaptive self-trained computer engine, phonetically-similar letter pairs of the user-specific subject-specific output transcript of the to-be-transcribed speech audio data to at least one library of subject-specific terms. | 7. The computer system of claim 1 , wherein the dynamically verifying the accuracy of the user-specific subject-specific output transcript of the to-be-transcribed speech audio data comprises: dynamically comparing, by the adaptive self-trained computer engine, phonetically-similar letter pairs of the user-specific subject-specific output transcript of the to-be-transcribed speech audio data to at least one library of subject-specific terms. 8. The computer system of claim 7 , wherein the dynamically verifying the accuracy of the user-specific subject-specific output transcript of the to-be-transcribed speech audio data comprises: dynamically removing, by the adaptive self-trained computer engine, at least one duplicate instances of words in overlapping text transcript segments. | 0.682994 |
8,332,231 | 33 | 41 | 33. A system for managing interactions with a person, comprising a processor and a memory in communication with the processor, the memory storing programming instructions executable by the processor to: receive data representing a multi-utterance transaction with the person, the data having multiple elements, a subset of the elements including sensitive customer data; portion the multi-utterance transaction into discrete, logical utterance units; automatically send the utterance units to two or more intent analyst user interface devices, each user interface device being configured to reproduce the utterance in a form perceptible to an intent analyst, the utterance units being distributed so that no intent analyst is ever exposed to more than one of said subset of the elements including sensitive customer data; receive intent input from each intent analyst user interface device, where the intent input characterizes an intent analyst's interpretation of the person's intent expressed in the utterance, automatically communicate a message to the person in perceptible form and in substantially real time relative to the receiving function, the message being automatically selected from among a predetermined set of possible messages as a function of the intent input received from the two or more intent analyst user interface devices. | 33. A system for managing interactions with a person, comprising a processor and a memory in communication with the processor, the memory storing programming instructions executable by the processor to: receive data representing a multi-utterance transaction with the person, the data having multiple elements, a subset of the elements including sensitive customer data; portion the multi-utterance transaction into discrete, logical utterance units; automatically send the utterance units to two or more intent analyst user interface devices, each user interface device being configured to reproduce the utterance in a form perceptible to an intent analyst, the utterance units being distributed so that no intent analyst is ever exposed to more than one of said subset of the elements including sensitive customer data; receive intent input from each intent analyst user interface device, where the intent input characterizes an intent analyst's interpretation of the person's intent expressed in the utterance, automatically communicate a message to the person in perceptible form and in substantially real time relative to the receiving function, the message being automatically selected from among a predetermined set of possible messages as a function of the intent input received from the two or more intent analyst user interface devices. 41. The system of claim 33 , wherein the programming instructions are further executable by the processor, in connection with the presenting step, to display contextual information about the person's interactive session with the system to each of the two or more intent analysts through the respective analyst user interface device. | 0.580808 |
9,619,910 | 13 | 18 | 13. A computing device comprising at least one memory and at least one processing unit operable to execute instructions for performing a method of creating a first graphical diagram, the method comprising: receiving a first line of text and a second line of text in a content entry area; receiving one or more formats in addition to the first line of text and the second line of text; in response to receiving the one or more formats, determining a hierarchical relationship between the first line of text and the second line of text based on the one or more formats; receiving a selection of a first graphical layout from a layout gallery displaying a plurality of graphical layouts for creating the first graphical diagram; and creating the first graphical diagram in a drawing canvas that is separate from the content entry area and the layout gallery, wherein the creating comprising: combining the first line of text with the first graphical layout to generate a first shape, the first shape at least substantially encapsulating the first line of text; combining the second line of text with the first graphical layout to generate a second shape, the second shape at least substantially encapsulating the second line of text; displaying a transition between the first shape and the second shape, the transition representing the hierarchical relationship between the first line of text and the second line of text; displaying the first line of text and the second line of text in the content entry area; and displaying the first graphical diagram having the first shape and the second shape in the drawing canvas area. | 13. A computing device comprising at least one memory and at least one processing unit operable to execute instructions for performing a method of creating a first graphical diagram, the method comprising: receiving a first line of text and a second line of text in a content entry area; receiving one or more formats in addition to the first line of text and the second line of text; in response to receiving the one or more formats, determining a hierarchical relationship between the first line of text and the second line of text based on the one or more formats; receiving a selection of a first graphical layout from a layout gallery displaying a plurality of graphical layouts for creating the first graphical diagram; and creating the first graphical diagram in a drawing canvas that is separate from the content entry area and the layout gallery, wherein the creating comprising: combining the first line of text with the first graphical layout to generate a first shape, the first shape at least substantially encapsulating the first line of text; combining the second line of text with the first graphical layout to generate a second shape, the second shape at least substantially encapsulating the second line of text; displaying a transition between the first shape and the second shape, the transition representing the hierarchical relationship between the first line of text and the second line of text; displaying the first line of text and the second line of text in the content entry area; and displaying the first graphical diagram having the first shape and the second shape in the drawing canvas area. 18. The computing device according to claim 13 , wherein the first graphical diagram comprises one of a hierarchical diagram, a process diagram, a cycle diagram, a relationship diagram, and a pyramid diagram. | 0.598456 |
9,247,013 | 15 | 18 | 15. A computer program product embodied in a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process to implement automating repetitive operations using a social media access interface, the process comprising: initiating a recording session to record user steps taken within an interactive session, wherein the user steps being recorded are associated with a post retrieved, from within the interactive session, from a social media site using the social media access interface; saving the recording session; and initiating a batch processor to replay at least a portion of the saved recording session. | 15. A computer program product embodied in a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process to implement automating repetitive operations using a social media access interface, the process comprising: initiating a recording session to record user steps taken within an interactive session, wherein the user steps being recorded are associated with a post retrieved, from within the interactive session, from a social media site using the social media access interface; saving the recording session; and initiating a batch processor to replay at least a portion of the saved recording session. 18. The computer program product of claim 15 , further comprising instructions for processing the retrieved post by performing at least one of, extracting an author of the retrieved post, extracting a sentiment of the retrieved post, extracting a category of the retrieved post. | 0.5 |
10,095,761 | 5 | 6 | 5. The method according to claim 1 , wherein generating a determination that the sequence does not comply with the guideline includes comparing the sequence with at least one truth case determined based on the guideline. | 5. The method according to claim 1 , wherein generating a determination that the sequence does not comply with the guideline includes comparing the sequence with at least one truth case determined based on the guideline. 6. The method according to claim 5 , wherein the second concept in the sequence is indicative of a match between the second token and at least one synonymous concept of a plurality of synonymous concepts associated with the second concept within the concept database. | 0.5 |
8,631,016 | 1 | 3 | 1. A method comprising: storing telephone numbers in a telephone number database; identifying and designating as patterned telephone numbers those of the telephone numbers that have digits that occur in any of numeric patterns defined by a first reference list; identifying and designating as patterned telephone numbers those of the telephone numbers that have digits that occur in any of alphanumeric patterns defined by a second reference list, each of the alphanumeric patterns including alphabetic letters or mixed alphabetic letters and numbers; assigning a weight to each of the patterned telephone numbers, wherein a greater weight is assigned to patterned telephone numbers that have digits that occur both in any of the numeric patterns and in any of the alphanumeric patterns than to patterned telephone numbers that have digits that occur in only one of any of the numeric patterns or any of the alphanumeric patterns; and designating, by a computing device, any remaining telephone numbers in the telephone number database as normal telephone numbers. | 1. A method comprising: storing telephone numbers in a telephone number database; identifying and designating as patterned telephone numbers those of the telephone numbers that have digits that occur in any of numeric patterns defined by a first reference list; identifying and designating as patterned telephone numbers those of the telephone numbers that have digits that occur in any of alphanumeric patterns defined by a second reference list, each of the alphanumeric patterns including alphabetic letters or mixed alphabetic letters and numbers; assigning a weight to each of the patterned telephone numbers, wherein a greater weight is assigned to patterned telephone numbers that have digits that occur both in any of the numeric patterns and in any of the alphanumeric patterns than to patterned telephone numbers that have digits that occur in only one of any of the numeric patterns or any of the alphanumeric patterns; and designating, by a computing device, any remaining telephone numbers in the telephone number database as normal telephone numbers. 3. A method as set forth in claim 1 , wherein identifying those of the telephone numbers that have digits that occur in any of the alphanumeric patterns defined by the second reference list includes: assigning at least one letter in an alphabet to a first digit; assigning at least one other letter in an alphabet to a second digit; identifying a letter combination created by at least two of the digits of the telephone number; and determining whether the letter combination is included in the second reference list as an alphanumeric pattern. | 0.5 |
8,769,684 | 13 | 22 | 13. A system for detecting masquerade attacks, the system comprising: a hardware processor that: monitors a first plurality of user actions in a computing environment; monitors files in the computing environment that contain decoy information; generates a user intent model for a category that includes at least one of the first plurality of user actions; monitors a second plurality of user actions; compares the second plurality of user actions with the generated user intent model, by determining whether at least one of the second plurality of user activities deviates from the generated user intent model; determines whether the second plurality of user actions includes accessing the files in the continuing environment that contain the decoy information in response to determining that at least one of the second plurality of user actions deviates from the generated user intent model; identifies whether the second plurality of user actions is a masquerade attack based at least in part on the comparison; and generates an alert in response to identifying that the second plurality of user actions is the masquerade attack and in response to determining that the second plurality of user actions includes accessing the files in the computing environment that contain the decoy information. | 13. A system for detecting masquerade attacks, the system comprising: a hardware processor that: monitors a first plurality of user actions in a computing environment; monitors files in the computing environment that contain decoy information; generates a user intent model for a category that includes at least one of the first plurality of user actions; monitors a second plurality of user actions; compares the second plurality of user actions with the generated user intent model, by determining whether at least one of the second plurality of user activities deviates from the generated user intent model; determines whether the second plurality of user actions includes accessing the files in the continuing environment that contain the decoy information in response to determining that at least one of the second plurality of user actions deviates from the generated user intent model; identifies whether the second plurality of user actions is a masquerade attack based at least in part on the comparison; and generates an alert in response to identifying that the second plurality of user actions is the masquerade attack and in response to determining that the second plurality of user actions includes accessing the files in the computing environment that contain the decoy information. 22. The system of claim 13 , wherein the processor is further configured to associate the user intent model with at least one of: a particular user, the operating environment, a network, and a user type. | 0.616981 |
8,125,922 | 12 | 16 | 12. A method of generating a ranked index of web pages, the method comprising: processing a number of sample web pages to generate network data indicative of the interconnections between the sample web pages as identified by hyperlinks included in the sample web pages; utilizing the generated network data to generate for each of said web pages one or more network metrics indicative of the extent to which the interconnections associated with a web page correspond to patterns of interconnections associated with web pages published in order to manipulate the ranking of a web page by a search engine; and using the generated network metrics to generate a ranked index of web pages wherein the influence of web pages associated with patterns of interconnections associated with web pages published in order to manipulate the ranking of web pages by a search engine is reduced relative to the influence of web pages which are not associated with such patterns of interconnections. | 12. A method of generating a ranked index of web pages, the method comprising: processing a number of sample web pages to generate network data indicative of the interconnections between the sample web pages as identified by hyperlinks included in the sample web pages; utilizing the generated network data to generate for each of said web pages one or more network metrics indicative of the extent to which the interconnections associated with a web page correspond to patterns of interconnections associated with web pages published in order to manipulate the ranking of a web page by a search engine; and using the generated network metrics to generate a ranked index of web pages wherein the influence of web pages associated with patterns of interconnections associated with web pages published in order to manipulate the ranking of web pages by a search engine is reduced relative to the influence of web pages which are not associated with such patterns of interconnections. 16. The method of claim 12 wherein generating one or more network metrics indicative of the extent to which the interconnections associated with a web page correspond to patterns of interconnections associated with web pages published in order to manipulate the ranking of a web page by a search engine comprises: processing said generated network data to determine for each of said web pages a value indicative of the extent to which a web page is associated with hyperlinks connecting other web pages which are otherwise poorly connected to most of the rest of the sample of web pages. | 0.529647 |
10,044,662 | 12 | 18 | 12. A non-transitory computer-readable storage medium having stored thereon computer instructions that, upon execution by one or more processors, at least cause a computing system to: process, for emails received, email header information to identify a first email conversation comprising a first email and replies to the first email; identify that one or more emails in the first email conversation has an associated identifier indicating the first email conversation was associated by a second user with a second email conversation comprising a second email and replies to the second email, wherein identifying that one or more emails in the first email conversation has an associated identifier indicating the first email conversation was associated by the second user with the second email conversation comprises identifying a group identifier in email header information is associated with emails in the first email conversation and with emails in the second email conversation; generating a user interface listing emails received for a first user, the user interface listing emails identifying that an email is associated with a first email conversation that was previously linked to a second email conversation by a second user; present a user interface displaying the first email conversation and the second email conversation; receive input from a first user selecting an email in the first email conversation; display an indication the selected email is in the first email conversation that was associated with the second email conversation by the second user; receive input from the first user and based on the indication, the input specifying to create a link between the first email conversation and the second email conversation; store data identifying that the first user has linked the first email conversation to the second email conversation. | 12. A non-transitory computer-readable storage medium having stored thereon computer instructions that, upon execution by one or more processors, at least cause a computing system to: process, for emails received, email header information to identify a first email conversation comprising a first email and replies to the first email; identify that one or more emails in the first email conversation has an associated identifier indicating the first email conversation was associated by a second user with a second email conversation comprising a second email and replies to the second email, wherein identifying that one or more emails in the first email conversation has an associated identifier indicating the first email conversation was associated by the second user with the second email conversation comprises identifying a group identifier in email header information is associated with emails in the first email conversation and with emails in the second email conversation; generating a user interface listing emails received for a first user, the user interface listing emails identifying that an email is associated with a first email conversation that was previously linked to a second email conversation by a second user; present a user interface displaying the first email conversation and the second email conversation; receive input from a first user selecting an email in the first email conversation; display an indication the selected email is in the first email conversation that was associated with the second email conversation by the second user; receive input from the first user and based on the indication, the input specifying to create a link between the first email conversation and the second email conversation; store data identifying that the first user has linked the first email conversation to the second email conversation. 18. The non-transitory computer-readable storage medium of claim 12 , wherein the instructions that, upon execution by the one or more processors, at least cause the computer system to present the user interface further comprising instructions that upon execution by the one or more processors, at least cause the computer system to visually indicate that the first email conversation and the second email conversation are linked. | 0.613309 |
9,852,219 | 32 | 45 | 32. An apparatus comprising a processor and a memory storing program code, the memory and program code being configured to, with the processor, cause the apparatus to at least: cause streamed data to be stored in a file, wherein the file consists of media data and metadata enclosed separately, wherein causing the streamed data to be stored in a file includes storing in a reception hint track; identifying metadata applicable to two or more samples of the streamed data; cause at least one timed metadata track to be created based on the identified metadata, the at least one timed metadata track describing a referred media track and the reception hint track, wherein the hint track refers to samples comprising instructions for constructing packets for transmission over an indicated communication protocol, wherein the media track refers to samples formatted according to a media compression format; form at least one group from the two or more samples of the streamed data, each sample in a group having identical metadata content for a metadata type; select each sample to group box associated with the reception hint track and the media track; and find a sample group description index of a particular reception hint sample or media sample. | 32. An apparatus comprising a processor and a memory storing program code, the memory and program code being configured to, with the processor, cause the apparatus to at least: cause streamed data to be stored in a file, wherein the file consists of media data and metadata enclosed separately, wherein causing the streamed data to be stored in a file includes storing in a reception hint track; identifying metadata applicable to two or more samples of the streamed data; cause at least one timed metadata track to be created based on the identified metadata, the at least one timed metadata track describing a referred media track and the reception hint track, wherein the hint track refers to samples comprising instructions for constructing packets for transmission over an indicated communication protocol, wherein the media track refers to samples formatted according to a media compression format; form at least one group from the two or more samples of the streamed data, each sample in a group having identical metadata content for a metadata type; select each sample to group box associated with the reception hint track and the media track; and find a sample group description index of a particular reception hint sample or media sample. 45. The apparatus of claim 32 , wherein the apparatus is caused to cause the at least one timed metadata track to be created by causing at least two timed metadata tracks to be created. | 0.5 |
10,153,902 | 5 | 8 | 5. The method of claim 3 , wherein the received natural language key is spoken. | 5. The method of claim 3 , wherein the received natural language key is spoken. 8. The method of claim 5 , further comprising: processing the spoken natural language key using a speaker identification engine to determine a likelihood that the spoken natural language was spoken by the user; and performing the obtaining from the server and the determining the sensitive information only when the likelihood that the spoken natural language key was spoken by the user is higher than a threshold value. | 0.549356 |
5,410,306 | 1 | 6 | 1. An encoding system for an ideographic language, which consists a set of ideographic symbols or ideograms, comprising: means for representing the pronunciations of the ideograms as said encoding system's pronunciation component; means for representing different tones of the pronunciations as said encoding system's tone component; means for representing graphical patterns of the ideogram as said encoding system's radical components; and means for representing a stroke or strokes of the ideogram as a candidate feature of said encoding system's supplemental component; wherein said ideogram or a plurality of ideograms are represented as an alphanumerical string not containing any blank, where said alphanumerical string contains a string pattern or a plurality of string patterns, where each of the string patterns is a string of alphabets followed by a numeral or a plurality of numerals, where the number of numerals indicates the number of ideograms represented by said alphanumerical string. | 1. An encoding system for an ideographic language, which consists a set of ideographic symbols or ideograms, comprising: means for representing the pronunciations of the ideograms as said encoding system's pronunciation component; means for representing different tones of the pronunciations as said encoding system's tone component; means for representing graphical patterns of the ideogram as said encoding system's radical components; and means for representing a stroke or strokes of the ideogram as a candidate feature of said encoding system's supplemental component; wherein said ideogram or a plurality of ideograms are represented as an alphanumerical string not containing any blank, where said alphanumerical string contains a string pattern or a plurality of string patterns, where each of the string patterns is a string of alphabets followed by a numeral or a plurality of numerals, where the number of numerals indicates the number of ideograms represented by said alphanumerical string. 6. The encoding system of claim 1, wherein the supplemental component are defined by one of the characteristics of the ideograms which is not duplicated in other components of said encoding system and represented by numerals. | 0.632353 |
9,646,250 | 1 | 3 | 1. A computer-implemented cognitive system, comprising: one or more hardware processors; a cognitive engine operable to execute on one or more of the hardware processors and further operable to receive first data representative of a domain associated with a question, the cognitive engine further operable to search a database of sources and retrieve information associated with the domain, the cognitive engine further operable to receive second data representative of an answer in an essay form to the question, the second data comprising a plurality of statements that make up the answer in the essay form, the cognitive engine further operable to determine whether a statement is accurate or inaccurate, for each of the plurality of statements based on matching the statement with the information associated with the domain according to an accuracy threshold; a scoring module operable to execute on one or more of the hardware processors and further operable to determine an overall score for the answer based on a number of statements in the answer in the essay form determined to be accurate, a number of statements in the answer in the essay form determined to be inaccurate, a number of duplicate statements in the answer in the essay form relative to a total number of statements in the answer in the essay form; and a visual assessment module operable to generate a visual graphics representing accurate and inaccurate statements determined by the cognitive engine and the overall score; a graphical user interface operable to display the visual graphics and interact with a user to allow the user to modify the overall score; and a comparative assessment module operable to execute on one or more of the hardware processors and further operable to search a database of answers to the question to identify a plurality of comparative statements comprising answers provided by a plurality of individuals in answering the question, the comparative assessment module further operable to provide the plurality of comparative statements to the cognitive engine, wherein the cognitive engine matches the statement with the plurality of comparative statements to determine whether the statement is accurate or inaccurate, the comparative statements comprising an essay-type of answers given by the plurality of individuals. | 1. A computer-implemented cognitive system, comprising: one or more hardware processors; a cognitive engine operable to execute on one or more of the hardware processors and further operable to receive first data representative of a domain associated with a question, the cognitive engine further operable to search a database of sources and retrieve information associated with the domain, the cognitive engine further operable to receive second data representative of an answer in an essay form to the question, the second data comprising a plurality of statements that make up the answer in the essay form, the cognitive engine further operable to determine whether a statement is accurate or inaccurate, for each of the plurality of statements based on matching the statement with the information associated with the domain according to an accuracy threshold; a scoring module operable to execute on one or more of the hardware processors and further operable to determine an overall score for the answer based on a number of statements in the answer in the essay form determined to be accurate, a number of statements in the answer in the essay form determined to be inaccurate, a number of duplicate statements in the answer in the essay form relative to a total number of statements in the answer in the essay form; and a visual assessment module operable to generate a visual graphics representing accurate and inaccurate statements determined by the cognitive engine and the overall score; a graphical user interface operable to display the visual graphics and interact with a user to allow the user to modify the overall score; and a comparative assessment module operable to execute on one or more of the hardware processors and further operable to search a database of answers to the question to identify a plurality of comparative statements comprising answers provided by a plurality of individuals in answering the question, the comparative assessment module further operable to provide the plurality of comparative statements to the cognitive engine, wherein the cognitive engine matches the statement with the plurality of comparative statements to determine whether the statement is accurate or inaccurate, the comparative statements comprising an essay-type of answers given by the plurality of individuals. 3. The system of claim 1 , wherein a computer-implemented natural language technique classifies the question and determines the domain. | 0.750923 |
9,600,596 | 6 | 7 | 6. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: generating a processing instance for parsing by at least one parsing module in a plurality of parsing modules; intercepting, using at least one parser wrapper class object, the generated processing instance, the at least one parser wrapper class object providing protection to at least one class object including at least one application programming interface for obtaining at least one parsing module for generating at least one document object model tree, the at least one parser wrapper class object verifying the at least one parsing module based on a predetermined list of parsing modules; selecting, based on the intercepted generated processing instance, the at least one parsing module in the plurality of modules; hardening the at least one selected parsing module using at least one hardened parser setting that cannot be changed; and parsing, using the hardened parsing module, the processing instance to generate a parsed processing instance; wherein the generating further comprises generating, using at least one application, an extensible markup language (XML) document for parsing by at least one XML parser; and wherein the XML parser is associated with at least one entity resolver object for determining, during parsing of the XML document, at least one external entity identified by at least one universal resource identifier contained in the XML document. | 6. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: generating a processing instance for parsing by at least one parsing module in a plurality of parsing modules; intercepting, using at least one parser wrapper class object, the generated processing instance, the at least one parser wrapper class object providing protection to at least one class object including at least one application programming interface for obtaining at least one parsing module for generating at least one document object model tree, the at least one parser wrapper class object verifying the at least one parsing module based on a predetermined list of parsing modules; selecting, based on the intercepted generated processing instance, the at least one parsing module in the plurality of modules; hardening the at least one selected parsing module using at least one hardened parser setting that cannot be changed; and parsing, using the hardened parsing module, the processing instance to generate a parsed processing instance; wherein the generating further comprises generating, using at least one application, an extensible markup language (XML) document for parsing by at least one XML parser; and wherein the XML parser is associated with at least one entity resolver object for determining, during parsing of the XML document, at least one external entity identified by at least one universal resource identifier contained in the XML document. 7. The system according to claim 6 , wherein the intercepting further comprises receiving, using at least one parser wrapper object, the generated XML document. | 0.86087 |
8,863,212 | 22 | 23 | 22. A server, comprising: a memory storing computer instructions; and a controller circuit coupled with the memory, wherein the controller circuit responsive to executing the computer instructions performs operations comprising: retrieving a user profile of a user mobile device; obtaining moving images of a user of the user mobile device; analyzing the moving images to detect physical gestures of the user, wherein the physical gestures of the user are traits of the user; presenting an avatar having characteristics that correlate to the user profile and the moving images, wherein physical gestures of the avatar correlate with the physical gestures of the user; detecting one or more responses of the user during a communication exchange between the avatar and the user; identifying from the one or more responses a desire to tour a location; establishing a communication session with a tour guide system; adapting the characteristics of the avatar at least in part according to instructions supplied by the tour guide system; and presenting to the user mobile device an adapted avatar presenting the tour of the location as the user mobile device moves through the location, wherein the adapted avatar utilizes the determined physical gestures of the user in combination with speech to convey information associated with the tour of the location. | 22. A server, comprising: a memory storing computer instructions; and a controller circuit coupled with the memory, wherein the controller circuit responsive to executing the computer instructions performs operations comprising: retrieving a user profile of a user mobile device; obtaining moving images of a user of the user mobile device; analyzing the moving images to detect physical gestures of the user, wherein the physical gestures of the user are traits of the user; presenting an avatar having characteristics that correlate to the user profile and the moving images, wherein physical gestures of the avatar correlate with the physical gestures of the user; detecting one or more responses of the user during a communication exchange between the avatar and the user; identifying from the one or more responses a desire to tour a location; establishing a communication session with a tour guide system; adapting the characteristics of the avatar at least in part according to instructions supplied by the tour guide system; and presenting to the user mobile device an adapted avatar presenting the tour of the location as the user mobile device moves through the location, wherein the adapted avatar utilizes the determined physical gestures of the user in combination with speech to convey information associated with the tour of the location. 23. The server of claim 22 , wherein the controller circuit is adapted to: detect one or more additional responses of the user; identify from the one or more additional responses a desire to engage a language translation system to translate to a language understood by the user site information associated with the location toured by the avatar; establish an additional communication session with the language translation system; adapt the characteristics of the avatar at least in part according to instructions supplied by the language translation system; transmit to the language translation system the site information; receive from the language translation system a translation of the site information in the language understood by the user; and present the adapted avatar presenting the translated site information in the language understood by the user. | 0.5 |
6,157,935 | 1 | 5 | 1. A hand held computer system for managing data for a user, comprising: processor; an input recognizer embodied in said program storage device, said input recognizer adapted to receive non-cursive handwritings from said user and convert said non-cursive handwritings into computer readable data; said handwritings being a set of modified characters; a program storage device coupled to said processor; a computer readable code embodied in said program storage device and coupled to said input recognizer for receiving said non-cursive handwritings, said computer readable code storing said data and allowing said user to process said data, wherein said computer readable code is a spreadsheet; and said hand held computer system further comprising a peripheral device selected from the group consisting of a camera, a scanner, a tuner, audio system, a modem, a voice recorder, and a display, said peripheral device coupled to said communication unit to provide data to said spreadsheet in a non-contact manner. | 1. A hand held computer system for managing data for a user, comprising: processor; an input recognizer embodied in said program storage device, said input recognizer adapted to receive non-cursive handwritings from said user and convert said non-cursive handwritings into computer readable data; said handwritings being a set of modified characters; a program storage device coupled to said processor; a computer readable code embodied in said program storage device and coupled to said input recognizer for receiving said non-cursive handwritings, said computer readable code storing said data and allowing said user to process said data, wherein said computer readable code is a spreadsheet; and said hand held computer system further comprising a peripheral device selected from the group consisting of a camera, a scanner, a tuner, audio system, a modem, a voice recorder, and a display, said peripheral device coupled to said communication unit to provide data to said spreadsheet in a non-contact manner. 5. The system of claim 1, wherein the computer readable code is a software agent. | 0.8769 |
8,176,031 | 6 | 8 | 6. A non-transitory computer readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method of extracting information form internet search results in response to a query by a user, said method comprising the steps of: A) normalizing said search results by formatting said search results into a standard free text format, each of said search results having a number of paragraphs included therein, said query including a sequence S+ of words from said search results that the user wants displayed and a sequence S− of words from said search results that the user does not want to be displayed, so that S+∩S− is an empty set; B) crawling said normalized search results to yield candidate information, said crawling step being accomplished by generating a hash table H+ corresponding to said sequence S+ and a hash table H− corresponding to said sequence S−, determining an actual frequency count (AFC) for each entry in said hash table H+ and said hash table H− and calculating a possibility for each entry in said hash table according to the formula possibility = ∑ H + ( seq ) ∈ paragraph H + ( paragraphs - AFC ) if H - is zero ( e . g . , if S - is left blank ) , possibility = - ∑ H - ( seq ) ∈ paragraph H - ( paragraphs - AFC ) if H + is zero ( e . g . , if S + is left blank ) , otherwise , possibility = ∑ H + ( seq ) ∈ paragraph H + ( paragraphs - AFC ) - ( H + H - ) ( ∑ H + ( seq ) ∈ paragraph H - ( paragraphs - AFC ) ) Where |paragraphs| is the number of paragraphs in said normalized search results, AFC (actual frequency count) is the number of times each entry in said hash table H+ and said hash table H− appears in said search results, |H+| is the number in entries in said hash table H+, |H−| is the number in entries in said hash table H−, and C) selectively displaying said candidate information according to a predetermined algorithm to yield said information. | 6. A non-transitory computer readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method of extracting information form internet search results in response to a query by a user, said method comprising the steps of: A) normalizing said search results by formatting said search results into a standard free text format, each of said search results having a number of paragraphs included therein, said query including a sequence S+ of words from said search results that the user wants displayed and a sequence S− of words from said search results that the user does not want to be displayed, so that S+∩S− is an empty set; B) crawling said normalized search results to yield candidate information, said crawling step being accomplished by generating a hash table H+ corresponding to said sequence S+ and a hash table H− corresponding to said sequence S−, determining an actual frequency count (AFC) for each entry in said hash table H+ and said hash table H− and calculating a possibility for each entry in said hash table according to the formula possibility = ∑ H + ( seq ) ∈ paragraph H + ( paragraphs - AFC ) if H - is zero ( e . g . , if S - is left blank ) , possibility = - ∑ H - ( seq ) ∈ paragraph H - ( paragraphs - AFC ) if H + is zero ( e . g . , if S + is left blank ) , otherwise , possibility = ∑ H + ( seq ) ∈ paragraph H + ( paragraphs - AFC ) - ( H + H - ) ( ∑ H + ( seq ) ∈ paragraph H - ( paragraphs - AFC ) ) Where |paragraphs| is the number of paragraphs in said normalized search results, AFC (actual frequency count) is the number of times each entry in said hash table H+ and said hash table H− appears in said search results, |H+| is the number in entries in said hash table H+, |H−| is the number in entries in said hash table H−, and C) selectively displaying said candidate information according to a predetermined algorithm to yield said information. 8. The non-transitory computer readable storage medium of claim 6 wherein said method is in pedagogical mode is in decision support mode and said step D is accomplished by: D1) setting a possibility threshold; and, D2) presenting said crawled search result paragraph having a possibility above said threshold as said information, in decreasing numeric order. | 0.721184 |
8,442,834 | 6 | 7 | 6. The method of claim 1 , further comprising: computing an alias comprising a best representative anchor text from a plurality of weighted anchor texts. | 6. The method of claim 1 , further comprising: computing an alias comprising a best representative anchor text from a plurality of weighted anchor texts. 7. The method of claim 6 , wherein the best representative anchor text has a weight associated with a highest ratio of salient words to total words from the plurality of weighted anchor texts. | 0.5 |
8,296,123 | 66 | 67 | 66. The method of claim 64 , further comprising: providing different translation servers to respectively translate different segments of a client document to be translated from the source language into the target language; and operating each translation server to obtain selected data from the different language model servers and the different translation model servers for translating each respective segment. | 66. The method of claim 64 , further comprising: providing different translation servers to respectively translate different segments of a client document to be translated from the source language into the target language; and operating each translation server to obtain selected data from the different language model servers and the different translation model servers for translating each respective segment. 67. The method of claim 66 , further comprising: configuring at least two different translation servers to operate at different translation speeds and different translation quality levels; and selecting a translation server for translating a segment based on a speed and a translation quality level for the segment. | 0.815358 |
8,515,816 | 9 | 10 | 9. The method of claim 8 , further comprising: receiving a search query; generating a search result for the received search query, the search result comprising a plurality of items, at least a portion of the plurality of items being documents; and before presenting the generated search result, organizing the generated search result in accordance with the capture frequencies of the documents among the items of the search result. | 9. The method of claim 8 , further comprising: receiving a search query; generating a search result for the received search query, the search result comprising a plurality of items, at least a portion of the plurality of items being documents; and before presenting the generated search result, organizing the generated search result in accordance with the capture frequencies of the documents among the items of the search result. 10. The method of claim 9 , further comprising marketing additional documents directed to a distinguished one of the most popular topics. | 0.5 |
9,817,563 | 7 | 9 | 7. The computer system of claim 6 , wherein executing the plurality of computer executable instructions further causes the computer system to: receive a user input specifying a manipulation to be performed on the first chart; performing the manipulation on the first chart based at least in part upon the received input; and automatically performing a corresponding manipulation on the second chart in response to the manipulation of the first chart. | 7. The computer system of claim 6 , wherein executing the plurality of computer executable instructions further causes the computer system to: receive a user input specifying a manipulation to be performed on the first chart; performing the manipulation on the first chart based at least in part upon the received input; and automatically performing a corresponding manipulation on the second chart in response to the manipulation of the first chart. 9. The computer system of claim 7 , wherein the manipulation comprises an expansion or compression of an axis of the first chart. | 0.643646 |
5,500,680 | 1 | 2 | 1. A caption display controlling method for displaying characters from extracted caption and text data encoded in a video composite signal on a video display screen comprising the steps of: discriminating one mode selected from (1) a caption mode, wherein characters from extracted caption data are displayed in a display region of the screen defined by a fixed number of video screen lines at a screen location determined from the extracted caption data; (2) a text mode, wherein characters from extracted text data are displayed over the entire video display screen; and (3) a scroll caption mode, wherein characters from extracted caption data are displayed in a display region of the screen defined by a variable number of screen lines, said characters being displayed including characters associated with the current video scene being displayed and previous displayed video scenes; decoding caption data encoded in an input composite video signal and displaying the characters decoded from said caption data in a predetermined portion of a screen when said caption mode is selected; decoding text data encoded in an input composite video signal and displaying the characters decoded from said text data on the overall screen when said text mode is selected; and decoding caption data and sequentially scrolling up and displaying the characters decoded from said caption data for a current scene together with captions for previous scenes on a display region of the screen defined by a variable number of video screen lines up to the overall number of video screen lines of the screen when the scroll caption mode is selected. | 1. A caption display controlling method for displaying characters from extracted caption and text data encoded in a video composite signal on a video display screen comprising the steps of: discriminating one mode selected from (1) a caption mode, wherein characters from extracted caption data are displayed in a display region of the screen defined by a fixed number of video screen lines at a screen location determined from the extracted caption data; (2) a text mode, wherein characters from extracted text data are displayed over the entire video display screen; and (3) a scroll caption mode, wherein characters from extracted caption data are displayed in a display region of the screen defined by a variable number of screen lines, said characters being displayed including characters associated with the current video scene being displayed and previous displayed video scenes; decoding caption data encoded in an input composite video signal and displaying the characters decoded from said caption data in a predetermined portion of a screen when said caption mode is selected; decoding text data encoded in an input composite video signal and displaying the characters decoded from said text data on the overall screen when said text mode is selected; and decoding caption data and sequentially scrolling up and displaying the characters decoded from said caption data for a current scene together with captions for previous scenes on a display region of the screen defined by a variable number of video screen lines up to the overall number of video screen lines of the screen when the scroll caption mode is selected. 2. A caption display controlling method as claimed in claim 1, wherein said scrolling up displaying step includes a substep of selecting a position and a size of said on-screen displayed portion of the screen. | 0.5 |
5,537,330 | 1 | 2 | 1. A method of logic synthesis using a computer, comprising: providing a plurality of register transfer statements describing a target logic system within said computer; tagging selected register transfer statements within said computer to specify a plurality of directed control levels including an open level and a structure dominance level; parsing the plurality of register transfer statements to generate a node graph where a node corresponds to a register transfer statement and allowing each node to receive an attribute indicating a directed control level; transforming the nodes having the attribute indicating the structure dominance level by searching a target technology book for exact match patterns to the nodes and adding any exact match patterns located to the nodes; optimizing the node graph on the nodes having an attribute indicating the open control level and through the nodes having the attribute indicating the structure dominance level; and covering the optimized node graph using the nodes having the attribute indicating the structure dominance level. | 1. A method of logic synthesis using a computer, comprising: providing a plurality of register transfer statements describing a target logic system within said computer; tagging selected register transfer statements within said computer to specify a plurality of directed control levels including an open level and a structure dominance level; parsing the plurality of register transfer statements to generate a node graph where a node corresponds to a register transfer statement and allowing each node to receive an attribute indicating a directed control level; transforming the nodes having the attribute indicating the structure dominance level by searching a target technology book for exact match patterns to the nodes and adding any exact match patterns located to the nodes; optimizing the node graph on the nodes having an attribute indicating the open control level and through the nodes having the attribute indicating the structure dominance level; and covering the optimized node graph using the nodes having the attribute indicating the structure dominance level. 2. The method of logic synthesis of claim 1, wherein the step of transforming the nodes having the attribute indicating the structure dominance level further includes: after searching for exact matches for a node, determining if any exact matches were located; if no exact matches were found for a node, expanding the node to allow location of exact matches and adding the exact match patterns to the node; searching the technology book for complements to the exact matches for each node; if a node has a complement, adding a complement pattern to the node; and expanding all nodes while maintain all added exact match patterns and complement patterns. | 0.5 |
7,953,600 | 1 | 6 | 1. A method for synthesizing a target voice, the method comprising: receiving symbolic input descriptive of an utterance to be synthesized; selecting one or more portions of the utterance to be constructed from certain Phone-and-Transition (P&T) speech units that function as prototype speech units, the prototype speech units obtained from a target voice corpus, the target voice corpus including speech units recorded from a human speaker, the target voice corpus configured to provide characteristics of the target voice; applying adaptations to selected ones of the prototype speech units of the target voice corpus that are derived from a context different than the one in which they are to be used in the utterance, to produce adapted units that are contextually appropriate for the utterance; obtaining at least some speech units from a source other than the target voice corpus; and concatenating at least the adapted speech units from the target voice corpus and the speech units from the source other than the target voice corpus to produce a speech waveform for the utterance. | 1. A method for synthesizing a target voice, the method comprising: receiving symbolic input descriptive of an utterance to be synthesized; selecting one or more portions of the utterance to be constructed from certain Phone-and-Transition (P&T) speech units that function as prototype speech units, the prototype speech units obtained from a target voice corpus, the target voice corpus including speech units recorded from a human speaker, the target voice corpus configured to provide characteristics of the target voice; applying adaptations to selected ones of the prototype speech units of the target voice corpus that are derived from a context different than the one in which they are to be used in the utterance, to produce adapted units that are contextually appropriate for the utterance; obtaining at least some speech units from a source other than the target voice corpus; and concatenating at least the adapted speech units from the target voice corpus and the speech units from the source other than the target voice corpus to produce a speech waveform for the utterance. 6. The method of claim 1 wherein the adaptations comprise an adaptation that extracts and uses only a selected portion of a phone or a transition of one of the stored prototype speech units. | 0.720588 |
7,523,424 | 13 | 14 | 13. The system of claim 11 further comprising: means for optimizing the design by reducing the number of copies of the circuit component. | 13. The system of claim 11 further comprising: means for optimizing the design by reducing the number of copies of the circuit component. 14. The system of claim 13 , wherein the means for optimizing the design comprises: means for reusing a copy of the circuit component in response to the circuit component includes one or more objects referenced from other parts of the design; means for reusing a copy of the circuit component in response to being able to determine a unique copy using one or more objects resided in instances in the hierarchical path and a list of immediate child instances; and means for reusing a copy of the circuit component in response to being able to define a copy using one or more objects referenced through hierarchical names. | 0.5 |
9,979,777 | 1 | 8 | 1. A method comprising: determining, using one or more processors, an inferred interest for a first user; generating, using the one or more processors, a model based on the inferred interest of the first user and storing the model in a non-transitory storage medium; generating, using the one or more processors, a set of candidate content items using an item from a second user with a similarity to the first user; determining, using the one or more processors, a first attribute and a second attribute associated with a candidate content item in the set of candidate content items; determining, using the one or more processors, a first score associated with the first attribute for the candidate content item based on the model of the first user and a first number of candidate content items having the first attribute in the set of candidate content items; determining, using the one or more processors, a second score associated with the second attribute for the candidate content item based on the model of the first user and a second number of candidate content items having the second attribute in the set of candidate content items; computing, using the one or more processors, a third score for the candidate content item in the set of candidate content items by summing the first score associated with the first attribute and the second score associated with the second attribute; selecting, using the one or more processors, content items for a stream of content associated with the first user from the set of candidate content items based on the third score of the content items; generating, using the one or more processors, an explanation for a first content item in the selected content items, the explanation indicating a reason for presenting the first content item to the first user; and transmitting, using the one or more processors, an instruction to a device that causes the device to present for display the stream of content to the first user with the explanation alongside the first content item, the explanation including a selectable graphic element for the first user to access an expanded explanation. | 1. A method comprising: determining, using one or more processors, an inferred interest for a first user; generating, using the one or more processors, a model based on the inferred interest of the first user and storing the model in a non-transitory storage medium; generating, using the one or more processors, a set of candidate content items using an item from a second user with a similarity to the first user; determining, using the one or more processors, a first attribute and a second attribute associated with a candidate content item in the set of candidate content items; determining, using the one or more processors, a first score associated with the first attribute for the candidate content item based on the model of the first user and a first number of candidate content items having the first attribute in the set of candidate content items; determining, using the one or more processors, a second score associated with the second attribute for the candidate content item based on the model of the first user and a second number of candidate content items having the second attribute in the set of candidate content items; computing, using the one or more processors, a third score for the candidate content item in the set of candidate content items by summing the first score associated with the first attribute and the second score associated with the second attribute; selecting, using the one or more processors, content items for a stream of content associated with the first user from the set of candidate content items based on the third score of the content items; generating, using the one or more processors, an explanation for a first content item in the selected content items, the explanation indicating a reason for presenting the first content item to the first user; and transmitting, using the one or more processors, an instruction to a device that causes the device to present for display the stream of content to the first user with the explanation alongside the first content item, the explanation including a selectable graphic element for the first user to access an expanded explanation. 8. The method of claim 1 , comprising: receiving from the first user an indication that one of the selected content items in the stream of content is interesting; and selecting additional content items that are related to the selected content item. | 0.703349 |
9,384,423 | 1 | 8 | 1. A method for computing confidence comprising: with a text recognition system, performing character recognition on an input text image to generate a candidate string of characters; generating a first representation based on the candidate string of characters, the generating of the first representation comprising partitioning the candidate character string into a plurality of regions and extracting a representation of each of the regions, the character string representation being derived by aggregating the region representations; generating a second representation based on the input text image; computing a confidence in the candidate string of characters based on a computed similarity between the first and second representations in a common embedding space, at least one of the first and second representations being projected into the common embedding space; and wherein at least one of the performing character recognition, generating the first representation, generating the second representation, and computing the confidence is performed with a computer processor. | 1. A method for computing confidence comprising: with a text recognition system, performing character recognition on an input text image to generate a candidate string of characters; generating a first representation based on the candidate string of characters, the generating of the first representation comprising partitioning the candidate character string into a plurality of regions and extracting a representation of each of the regions, the character string representation being derived by aggregating the region representations; generating a second representation based on the input text image; computing a confidence in the candidate string of characters based on a computed similarity between the first and second representations in a common embedding space, at least one of the first and second representations being projected into the common embedding space; and wherein at least one of the performing character recognition, generating the first representation, generating the second representation, and computing the confidence is performed with a computer processor. 8. The method of claim 1 wherein the generating of the second representation comprises generating a statistical representation of features extracted from patches of the image using a generative model. | 0.782609 |
5,493,658 | 2 | 6 | 2. An interactive online tutorial method for providing instruction in the use of a software product operating on a digital processing apparatus, the digital processing apparatus including an instruction processing unit, a data storage resource, an input system for receiving data input from a user, and an output system including a video display for providing data output to a user, said tutorial method comprising the steps of: generating a tutorial display window in a first portion of the video display for displaying tutorial lesson information; generating a product display window in a second portion of the video display for displaying a software product concurrently with said tutorial lesson information; presenting said tutorial lesson information in said tutorial display window, said tutorial lesson information including descriptions of user input actions required for operation of a software product displayed in said product window; and monitoring user input actions to determine whether said user input actions should be withheld from said software product, said tutorial monitoring step including the steps of: in a first filtering step, receiving user input actions from said input system and determining whether said user input actions are directed to said software product and, if false, allowing said user input actions to pass to their intended destination; in a second filtering step, receiving user input actions from said first filtering step and determining whether said user input actions are potentially detrimental to completion of tutorial lessons, if false, allowing said user input actions to pass to their intended destination; and in a comparison step, receiving user input actions from said second filtering step and comparing said user input actions with selected input actions representing appropriate input actions to said product and, if a match condition is determined, allowing said user input actions to pass to their intended destination. | 2. An interactive online tutorial method for providing instruction in the use of a software product operating on a digital processing apparatus, the digital processing apparatus including an instruction processing unit, a data storage resource, an input system for receiving data input from a user, and an output system including a video display for providing data output to a user, said tutorial method comprising the steps of: generating a tutorial display window in a first portion of the video display for displaying tutorial lesson information; generating a product display window in a second portion of the video display for displaying a software product concurrently with said tutorial lesson information; presenting said tutorial lesson information in said tutorial display window, said tutorial lesson information including descriptions of user input actions required for operation of a software product displayed in said product window; and monitoring user input actions to determine whether said user input actions should be withheld from said software product, said tutorial monitoring step including the steps of: in a first filtering step, receiving user input actions from said input system and determining whether said user input actions are directed to said software product and, if false, allowing said user input actions to pass to their intended destination; in a second filtering step, receiving user input actions from said first filtering step and determining whether said user input actions are potentially detrimental to completion of tutorial lessons, if false, allowing said user input actions to pass to their intended destination; and in a comparison step, receiving user input actions from said second filtering step and comparing said user input actions with selected input actions representing appropriate input actions to said product and, if a match condition is determined, allowing said user input actions to pass to their intended destination. 6. The tutorial method of claim 2 further including the step of generating an error message in said video display upon said comparison step determining a mismatch condition between user input actions and command action statements contained in said lesson control table. | 0.5 |
7,711,679 | 10 | 11 | 10. The method of claim 1 , further comprising storing a document description in association with the document to which the document description corresponds. | 10. The method of claim 1 , further comprising storing a document description in association with the document to which the document description corresponds. 11. The method of claim 10 , wherein the association is accomplished by concatenating the sentences of the document description, computing a hash value of the concatenated sentences, and storing an identifier of the document in an associative data structure at a data structure location corresponding to the computed hash value. | 0.5 |
9,298,452 | 1 | 6 | 1. A method for improving quality of a code listing, the method comprising: receiving a code listing; receiving concept specification information corresponding to a concept to be identified in the code listing, the concept specification information comprising a code pattern illustrating the concept, wherein the code pattern comprises a predetermined length of source code or object code that defines the concept; using the concept specification information to define a rule by: parsing the code pattern to generate pre-configured prompts specific to the code pattern, and identify at least one token, receiving selection of a code element and a condition related to the code pattern in response to the pre-configured prompts, and defining the rule based on the received selection of the code element and the condition, and the at least one token and according to a token-to-rule mapping; identifying occurrence of the concept in the code listing based on the rule; generating, by a processor, information regarding the occurrence of the concept in the code listing as an indication of the quality of the code listing; and recommending a measure to transform the code listing to satisfy the concept to improve the quality of the code listing. | 1. A method for improving quality of a code listing, the method comprising: receiving a code listing; receiving concept specification information corresponding to a concept to be identified in the code listing, the concept specification information comprising a code pattern illustrating the concept, wherein the code pattern comprises a predetermined length of source code or object code that defines the concept; using the concept specification information to define a rule by: parsing the code pattern to generate pre-configured prompts specific to the code pattern, and identify at least one token, receiving selection of a code element and a condition related to the code pattern in response to the pre-configured prompts, and defining the rule based on the received selection of the code element and the condition, and the at least one token and according to a token-to-rule mapping; identifying occurrence of the concept in the code listing based on the rule; generating, by a processor, information regarding the occurrence of the concept in the code listing as an indication of the quality of the code listing; and recommending a measure to transform the code listing to satisfy the concept to improve the quality of the code listing. 6. The method of claim 1 , wherein recommending the measure to transform the code listing to satisfy the concept to improve the quality of the code listing further comprises: identifying features of the code listing to be modified to satisfy the concept. | 0.641243 |
9,058,312 | 15 | 19 | 15. A method for processing the document data of a structured document, the document data having content and structure, the method comprising: accessing a structured document comprising content stored according to an underlying structure, wherein the underlying structure comprises a plurality of blocks arranged in a hierarchical relationship, and wherein one or more of the plurality of blocks comprise one or more inline elements; displaying a What-You-See-Is-What-You-Get (WYSIWYG) editor that comprises the content and receives user input for editing the content; graphically representing the underlying structure of the content in a grid by displaying a vertical pane on a vertical side of the WYSIWYG editor, wherein the vertical pane comprises a representation for each of the plurality of blocks and graphically represents the hierarchical relationship between the plurality of blocks, and wherein each representation of one of the plurality of blocks is located in the vertical pane on the vertical side of the WYSIWYG editor at a position corresponding to a vertical position of a portion of the content in the WYSIWYG editor corresponding to the block, receiving a selection of one of the plurality of blocks, and displaying a horizontal pane that is horizontal to the WYSIWYG editor, wherein the horizontal pane comprises a representation of inline elements within the selected block, and wherein each representation of an inline element is located in the horizontal pane at a position corresponding to a horizontal position of a portion of the content in the WYSIWYG editor corresponding to the inline element; receiving a user input on the selected block; in response to the user input on the selected block, displaying editing options applicable to the selected block; receiving a user input selecting one of the displayed editing options; in response to the user input selecting the displayed editing option, applying the selected editing option to the selected block; and updating one or more of the displayed content in the WYSIWYG editor, representations of the plurality of blocks in the vertical pane, and representations of inline elements in the horizontal pane to reflect the application of the selected editing option to the selected block. | 15. A method for processing the document data of a structured document, the document data having content and structure, the method comprising: accessing a structured document comprising content stored according to an underlying structure, wherein the underlying structure comprises a plurality of blocks arranged in a hierarchical relationship, and wherein one or more of the plurality of blocks comprise one or more inline elements; displaying a What-You-See-Is-What-You-Get (WYSIWYG) editor that comprises the content and receives user input for editing the content; graphically representing the underlying structure of the content in a grid by displaying a vertical pane on a vertical side of the WYSIWYG editor, wherein the vertical pane comprises a representation for each of the plurality of blocks and graphically represents the hierarchical relationship between the plurality of blocks, and wherein each representation of one of the plurality of blocks is located in the vertical pane on the vertical side of the WYSIWYG editor at a position corresponding to a vertical position of a portion of the content in the WYSIWYG editor corresponding to the block, receiving a selection of one of the plurality of blocks, and displaying a horizontal pane that is horizontal to the WYSIWYG editor, wherein the horizontal pane comprises a representation of inline elements within the selected block, and wherein each representation of an inline element is located in the horizontal pane at a position corresponding to a horizontal position of a portion of the content in the WYSIWYG editor corresponding to the inline element; receiving a user input on the selected block; in response to the user input on the selected block, displaying editing options applicable to the selected block; receiving a user input selecting one of the displayed editing options; in response to the user input selecting the displayed editing option, applying the selected editing option to the selected block; and updating one or more of the displayed content in the WYSIWYG editor, representations of the plurality of blocks in the vertical pane, and representations of inline elements in the horizontal pane to reflect the application of the selected editing option to the selected block. 19. The method of claim 15 , wherein said vertical pane includes a first plurality of elements corresponding to rows of a table in the content, and wherein said horizontal pane includes a second plurality of elements corresponding to columns of the table. | 0.652589 |
8,554,601 | 2 | 3 | 2. The method of claim 1 including, before the automatic updating of the reputation weights of the one or more evaluator users, determining whether the received evaluations satisfy an evaluator reputation calculation threshold, and wherein the automatic updating of the reputation weights of the one or more evaluator users is performed only when it is determined that the received evaluations satisfy the evaluator reputation calculation threshold. | 2. The method of claim 1 including, before the automatic updating of the reputation weights of the one or more evaluator users, determining whether the received evaluations satisfy an evaluator reputation calculation threshold, and wherein the automatic updating of the reputation weights of the one or more evaluator users is performed only when it is determined that the received evaluations satisfy the evaluator reputation calculation threshold. 3. The method of claim 2 wherein the evaluator reputation calculation threshold is based at least in part on a minimum degree of consensus existing among the received evaluations, and wherein the determining includes automatically calculating the existing degree of consensus among the received evaluations. | 0.5 |
8,554,742 | 1 | 5 | 1. A process operable on one or more computers for estimating a posterior probability of a match between a plurality of records in a database, each record having a plurality of fields, comprising: calculating objective values relating to said fields; approximating subjective values relating to said fields; estimating an average number of duplicate records; estimating a total number of distinct duplicate records using said subjective values; determining a probability of a match between said records using said estimated average number of duplicate records and said estimated total number of distinct duplicate records; determining a probability of no match between said records; determining a conditional probability of a match between at least one of said fields of said records, given a match between said records, using said subjective values; determining a conditional probability of a match between at least one of said fields of said records, given no match between said records, using both said objective values and said subjective values; and using a Bayesian probability function to determine said posterior probability based on said probabilities and said conditional probabilities. | 1. A process operable on one or more computers for estimating a posterior probability of a match between a plurality of records in a database, each record having a plurality of fields, comprising: calculating objective values relating to said fields; approximating subjective values relating to said fields; estimating an average number of duplicate records; estimating a total number of distinct duplicate records using said subjective values; determining a probability of a match between said records using said estimated average number of duplicate records and said estimated total number of distinct duplicate records; determining a probability of no match between said records; determining a conditional probability of a match between at least one of said fields of said records, given a match between said records, using said subjective values; determining a conditional probability of a match between at least one of said fields of said records, given no match between said records, using both said objective values and said subjective values; and using a Bayesian probability function to determine said posterior probability based on said probabilities and said conditional probabilities. 5. The process according to claim 1 , further comprising: selecting fields within said plurality of fields to compare for determining whether said records match. | 0.714539 |
9,105,068 | 1 | 3 | 1. A method comprising, by a computing device: accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising: a first-user node corresponding to a first user associated with an online social network; and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network; receiving, from a client system of the first user, an unstructured text query inputted by the first user, wherein the unstructured text query comprises one or more n-grams; identifying, based on the unstructured text query, one or more edges and one or more second nodes of the social graph, each of the identified edges or identified nodes corresponding to at least one of the n-grams, wherein identifying the one or more edges and one or more second nodes comprises: determining a second score for each n-gram that corresponds to one of the edges or second nodes; selecting one or more edges having a second score greater than an edge-threshold score, each of the identified edges corresponding to at least one of the n-grams; and selecting one or more second nodes having a second score greater than a node-threshold score, each of the identified second nodes being connected to at least one of the identified edges, each of the identified second nodes corresponding to at least one of the n-grams; accessing a context-free grammar model comprising a plurality of grammars, each grammar comprising one or more query tokens; identifying one or more grammars, each identified grammar having one or more query tokens corresponding to at least one of the identified second nodes and at least one of the identified edges of the social graph; determining a first score for each identified grammar; generating one or more structured queries, each structured query corresponding to an identified grammar having first score greater than a grammar-threshold score wherein the structured query comprises a natural-language string generated by the identified grammar, each structured query comprising the query tokens of the corresponding identified grammar, wherein one or more of the query tokens of the structured query corresponds to at least one of the identified second nodes and at least one of the or identified edges of the social graph; and sending, to the client system of the first user, one or more of the structured queries as suggested queries for display to the first user in response to the unstructured text query inputted by the first user. | 1. A method comprising, by a computing device: accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising: a first-user node corresponding to a first user associated with an online social network; and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network; receiving, from a client system of the first user, an unstructured text query inputted by the first user, wherein the unstructured text query comprises one or more n-grams; identifying, based on the unstructured text query, one or more edges and one or more second nodes of the social graph, each of the identified edges or identified nodes corresponding to at least one of the n-grams, wherein identifying the one or more edges and one or more second nodes comprises: determining a second score for each n-gram that corresponds to one of the edges or second nodes; selecting one or more edges having a second score greater than an edge-threshold score, each of the identified edges corresponding to at least one of the n-grams; and selecting one or more second nodes having a second score greater than a node-threshold score, each of the identified second nodes being connected to at least one of the identified edges, each of the identified second nodes corresponding to at least one of the n-grams; accessing a context-free grammar model comprising a plurality of grammars, each grammar comprising one or more query tokens; identifying one or more grammars, each identified grammar having one or more query tokens corresponding to at least one of the identified second nodes and at least one of the identified edges of the social graph; determining a first score for each identified grammar; generating one or more structured queries, each structured query corresponding to an identified grammar having first score greater than a grammar-threshold score wherein the structured query comprises a natural-language string generated by the identified grammar, each structured query comprising the query tokens of the corresponding identified grammar, wherein one or more of the query tokens of the structured query corresponds to at least one of the identified second nodes and at least one of the or identified edges of the social graph; and sending, to the client system of the first user, one or more of the structured queries as suggested queries for display to the first user in response to the unstructured text query inputted by the first user. 3. The method of claim 1 , wherein each n-gram comprises a contiguous sequence of n items from the text query. | 0.756637 |
9,147,400 | 5 | 6 | 5. The method of claim 3 , wherein the ranking comprises: modeling one or more speech features within each of the one or more regions; and assigning a performance measure to each of the one or more speech features subsequent to the modeling, wherein the performance measure for an associated one of the one or more speech features represents a strength with which the associated one of the one or more speech features accurately distinguishes the speaker of interest from the plurality of impostor speakers. | 5. The method of claim 3 , wherein the ranking comprises: modeling one or more speech features within each of the one or more regions; and assigning a performance measure to each of the one or more speech features subsequent to the modeling, wherein the performance measure for an associated one of the one or more speech features represents a strength with which the associated one of the one or more speech features accurately distinguishes the speaker of interest from the plurality of impostor speakers. 6. The method of claim 5 , wherein at least one of the one or more speech features comprises a combination of two or more individual speech features. | 0.655093 |
6,131,102 | 5 | 6 | 5. For an electronic system for creating and editing an electronic document, a method for generating a numerical cost in association with suggested words for replacing a misspelled word, the method comprising the steps of: (a) determining whether an offset value is equal to zero, wherein the offset value is equal to the number of previous letters in one of the suggested words that have not matched the misspelled word; (b) if the offset value is not equal to zero, then determining associated numerical costs for possible paths of a trie and applying these associated numerical costs to their corresponding paths; and (c) adding end costs, beginning costs, and frequency costs to the paths, resulting in a total numerical cost for each path. | 5. For an electronic system for creating and editing an electronic document, a method for generating a numerical cost in association with suggested words for replacing a misspelled word, the method comprising the steps of: (a) determining whether an offset value is equal to zero, wherein the offset value is equal to the number of previous letters in one of the suggested words that have not matched the misspelled word; (b) if the offset value is not equal to zero, then determining associated numerical costs for possible paths of a trie and applying these associated numerical costs to their corresponding paths; and (c) adding end costs, beginning costs, and frequency costs to the paths, resulting in a total numerical cost for each path. 6. The method recited in claim 5, wherein each path corresponds to a suggested word for replacing the misspelled word. | 0.717703 |
8,290,946 | 1 | 3 | 1. A computer-implemented method of measuring probabilities that phrases are relevant to a document where document does not contain the phrases and the phrases comprise out-of-document phrases, the method comprising: providing a similarity measure that can measure similarity between two arbitrary strings; computing a first sparse word vector from the document, the first sparse word vector comprised of words extracted from the document and weights assigned thereto, respectively, each weight computed according to relevance to the document of a corresponding word in the first sparse word vector as computed by a term weighting function; and computing a second sparse word vector for one of the phrases by submitting the phrase to a search engine, receiving a search result from the search engine and comprising at least parts of documents determined by the search engine to be relevant to the one of the phrases, and generating the second sparse word vector from the at least parts of the documents in the search result provided by the search engine, the second sparse word vector comprising words obtained from the at least parts of the documents in the search and weights of the words, respectively; applying the similarity measure to the first sparse word vector and the second sparse word vector to derive a similarity score scoring similarity between the phrase and the document, wherein the similarity score is derived according to the words and weights in the first sparse word vector and according to the words and weights in the second sparse word vector; and mapping the similarity score to a corresponding probability using a learned sigmoid function. | 1. A computer-implemented method of measuring probabilities that phrases are relevant to a document where document does not contain the phrases and the phrases comprise out-of-document phrases, the method comprising: providing a similarity measure that can measure similarity between two arbitrary strings; computing a first sparse word vector from the document, the first sparse word vector comprised of words extracted from the document and weights assigned thereto, respectively, each weight computed according to relevance to the document of a corresponding word in the first sparse word vector as computed by a term weighting function; and computing a second sparse word vector for one of the phrases by submitting the phrase to a search engine, receiving a search result from the search engine and comprising at least parts of documents determined by the search engine to be relevant to the one of the phrases, and generating the second sparse word vector from the at least parts of the documents in the search result provided by the search engine, the second sparse word vector comprising words obtained from the at least parts of the documents in the search and weights of the words, respectively; applying the similarity measure to the first sparse word vector and the second sparse word vector to derive a similarity score scoring similarity between the phrase and the document, wherein the similarity score is derived according to the words and weights in the first sparse word vector and according to the words and weights in the second sparse word vector; and mapping the similarity score to a corresponding probability using a learned sigmoid function. 3. A method according to claim 1 , wherein the sigmoid function is used to combine multiple similarity scores together to predict the probability. | 0.578035 |
7,661,060 | 5 | 8 | 5. A multimedia reproducing method in a mobile communication terminal comprising: generating a Document Object Model (DOM) tree from an Synchronized Multimedia Integration Language (SMIL) document at the mobile communication terminal; generating a control table with reference to the DOM tree, the control table comprising a reproduction control table that includes a first plurality of time sections and a plurality of kinds or names of media to be reproduced at the corresponding first plurality of time sections and a stop control table that includes a second plurality of time sections and a plurality of kinds or names of media to be stopped from reproducing at the corresponding second plurality of time sections, wherein each of the media in the reproduction control table and the stop control table have a connection structure of a linked list; starting a timer running; and reproducing or stopping reproduction of media items of the SMIL document on the mobile communication terminal based on the reproduction control table and the stop control table while the timer is running, and wherein when there are a plurality of media items to be reproduced, the reproducing includes aligning the media items according to a z-index alignment method and reproducing the media items starting from a media item having a lowest order, wherein the stop control table and the reproduction control table are separately operated, and wherein a controller arbitrarily adjusts a stop time of media being reproduced according to a user's input. | 5. A multimedia reproducing method in a mobile communication terminal comprising: generating a Document Object Model (DOM) tree from an Synchronized Multimedia Integration Language (SMIL) document at the mobile communication terminal; generating a control table with reference to the DOM tree, the control table comprising a reproduction control table that includes a first plurality of time sections and a plurality of kinds or names of media to be reproduced at the corresponding first plurality of time sections and a stop control table that includes a second plurality of time sections and a plurality of kinds or names of media to be stopped from reproducing at the corresponding second plurality of time sections, wherein each of the media in the reproduction control table and the stop control table have a connection structure of a linked list; starting a timer running; and reproducing or stopping reproduction of media items of the SMIL document on the mobile communication terminal based on the reproduction control table and the stop control table while the timer is running, and wherein when there are a plurality of media items to be reproduced, the reproducing includes aligning the media items according to a z-index alignment method and reproducing the media items starting from a media item having a lowest order, wherein the stop control table and the reproduction control table are separately operated, and wherein a controller arbitrarily adjusts a stop time of media being reproduced according to a user's input. 8. The method of claim 5 , wherein at least a portion of the first plurality of time sections equals time sections in the second plurality of time sections. | 0.75625 |
7,672,922 | 12 | 13 | 12. A pointer-oriented object acquisition method for tangible treatment of information of the computer system which is based on one natural language and in which a received signal-reaction of this computer system of Artificial Intelligence of a cyborg or an android, a corresponding association of this computer system of Artificial Intelligence of a cyborg or an android, a corresponding thought of this computer system of Artificial Intelligence of a cyborg or an android are substantiated, characterized in that the telepathy is implemented with transferring all three objects, i.e. the received signal-reaction, the corresponding association and the corresponding thought, of the computer system of Artificial Intelligence of a cyborg or an android to another remote computer system of Artificial Intelligence of a cyborg or an android simultaneously. | 12. A pointer-oriented object acquisition method for tangible treatment of information of the computer system which is based on one natural language and in which a received signal-reaction of this computer system of Artificial Intelligence of a cyborg or an android, a corresponding association of this computer system of Artificial Intelligence of a cyborg or an android, a corresponding thought of this computer system of Artificial Intelligence of a cyborg or an android are substantiated, characterized in that the telepathy is implemented with transferring all three objects, i.e. the received signal-reaction, the corresponding association and the corresponding thought, of the computer system of Artificial Intelligence of a cyborg or an android to another remote computer system of Artificial Intelligence of a cyborg or an android simultaneously. 13. The pointer-oriented object acquisition method according to claim 12 , characterized in that the telepathy is implemented with transferring all three objects, i.e. the received signal-reaction, the corresponding association and the corresponding thought, of the computer system of Artificial Intelligence of a cyborg or an android to another remote computer system of Artificial Intelligence of a cyborg or an android with n-Sense, for example WLAN, in the sense of passing objects to a method with the mechanism “path-by-value”. | 0.5 |
4,539,653 | 54 | 55 | 54. The computerized composer set forth in claim 43 wherein said third indicia includes section named area indicia and page named area indicia respectively for enabling the computer means to divert text/graphics signals to section and page named area portions of said separate storage; and said fourth indicia including section named area placement indicia for enabling the computer means to respond to a put one of said embedded control words to place all of the diverted text and graphics signals to section named areas to a logical page; and further including page named area indicia for enabling the computer means to respond to said paginating to place said diverted text and graphics signals from a page named area to a logical page in accordance with predetermined criteria. | 54. The computerized composer set forth in claim 43 wherein said third indicia includes section named area indicia and page named area indicia respectively for enabling the computer means to divert text/graphics signals to section and page named area portions of said separate storage; and said fourth indicia including section named area placement indicia for enabling the computer means to respond to a put one of said embedded control words to place all of the diverted text and graphics signals to section named areas to a logical page; and further including page named area indicia for enabling the computer means to respond to said paginating to place said diverted text and graphics signals from a page named area to a logical page in accordance with predetermined criteria. 55. The computerized composer set forth in claim 54 wherein said third indicia section named area indicia enables said computer means to place the diverted text and graphics signals on a page independent of the sequentiality of the received unformatted text/graphics signals and once initiating the placement of such diverted text/graphics signals to a page, then sequentially within the section named areas placing all of the diverted text/graphics signals of a section named area to one or more pages in accordance with the second indicia enablement of said computer means. | 0.5 |
10,042,842 | 10 | 11 | 10. The computer program product according to claim 9 , wherein the generating the candidate lexical graph dictionary includes obtaining historical data that includes a known event. | 10. The computer program product according to claim 9 , wherein the generating the candidate lexical graph dictionary includes obtaining historical data that includes a known event. 11. The computer program product according to claim 10 , wherein the generating the candidate lexical graph dictionary further includes searching the historical data for a learning set of social media data streams. | 0.5 |
8,645,903 | 5 | 12 | 5. An apparatus for generating a task-based user interface (UI), the apparatus comprising: a task ontology unit configured to maintain task information with respect to the task; a device ontology unit configured to maintain device information with respect to a device; a UI description generator configured to read at least one of the task information and the device information using the task ontology unit or the device ontology unit, respectively, generate UI description information from at least one of the read task information and the read device information, the UI description information being made by a task-based language, and analyze similarity between the devices based on at least one of task semantic information and device semantic information to automatically map the at least one of the task semantic information and the device semantic information; and a UI description parser configured to parse the UI description information to output the task-based UI, wherein at least one of the task ontology unit, the device ontology unit, the UI description generator and the UI description parser is implemented by a processor of the apparatus, and wherein the task-based language includes a device description section configured to describe a relationship with the device, an internal state of the device, and a variable for controlling a function of the device, a task description section configured to describe the task information being the processor configured to provide services to a user, and an interface description section configured to describe the task-based UI corresponding to the device information and the task information. | 5. An apparatus for generating a task-based user interface (UI), the apparatus comprising: a task ontology unit configured to maintain task information with respect to the task; a device ontology unit configured to maintain device information with respect to a device; a UI description generator configured to read at least one of the task information and the device information using the task ontology unit or the device ontology unit, respectively, generate UI description information from at least one of the read task information and the read device information, the UI description information being made by a task-based language, and analyze similarity between the devices based on at least one of task semantic information and device semantic information to automatically map the at least one of the task semantic information and the device semantic information; and a UI description parser configured to parse the UI description information to output the task-based UI, wherein at least one of the task ontology unit, the device ontology unit, the UI description generator and the UI description parser is implemented by a processor of the apparatus, and wherein the task-based language includes a device description section configured to describe a relationship with the device, an internal state of the device, and a variable for controlling a function of the device, a task description section configured to describe the task information being the processor configured to provide services to a user, and an interface description section configured to describe the task-based UI corresponding to the device information and the task information. 12. The apparatus of claim 5 , wherein the task-based UI includes a task hierarchy including a task list available to a user, a basic interface hierarchy providing a basic UI corresponding to the task list, and a detailed interface hierarchy providing a detailed interface for detailed functions other than the basic UI. | 0.518072 |
7,827,032 | 19 | 26 | 19. An apparatus for adapting a model for a speech recognition system using an adaptation process, the apparatus comprising: a processor that is operable to determine an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and a controller that is operable to adjust an adaptation process for the model for the word or various models for the various words, based on the error rate. | 19. An apparatus for adapting a model for a speech recognition system using an adaptation process, the apparatus comprising: a processor that is operable to determine an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and a controller that is operable to adjust an adaptation process for the model for the word or various models for the various words, based on the error rate. 26. The apparatus of claim 19 , wherein the error rate threshold is a value settable by a user. | 0.830357 |
5,400,434 | 10 | 11 | 10. The improvement of claim 9 wherein besides said voice source signal, said digital filters receive signals from a noise source means which generates signals representing air turbulence in the voice tract. | 10. The improvement of claim 9 wherein besides said voice source signal, said digital filters receive signals from a noise source means which generates signals representing air turbulence in the voice tract. 11. The improvement of claim 10 wherein said noise source means comprises: an aspiration source means for generating signals representing air turbulence at the vocal cords; and a frication source means using frications from real speech for generating signals representing air turbulence in vocal cavities of the pharynx, mouth and nose. | 0.5 |
9,703,883 | 12 | 16 | 12. A system comprising: at least one processor; at least one computer readable memory, said computer readable memory having program code stored thereon, said program code comprising: program code for receiving a request for a social bookmarking operation; program code for, responsive to said request for said social bookmarking operation, searching a document object model (DOM) of a currently loaded Web page for elements identifying corresponding socially bookmarkable resources displayed within said currently loaded Web page by checking elements in said DOM for elements having a class name matching a predetermined class name, wherein each of said socially bookmarkable resources identified by an element found in said searching is available for performing said requested social bookmarking operation, and modifying said DOM of said currently loaded Web page by placing a resource selection user interface object next to each one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for displaying said resource selection user interface display objects within said currently loaded Web page, wherein each of said resource selection user interface display objects visually indicates a corresponding one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for detecting a user clicking on one of said resource selection user interface display objects; and program code for performing said requested social bookmarking operation by bookmarking, in an external social bookmarking system, the corresponding one of the socially bookmarkable resources indicated by the resource selection user interface object clicked on by the user. | 12. A system comprising: at least one processor; at least one computer readable memory, said computer readable memory having program code stored thereon, said program code comprising: program code for receiving a request for a social bookmarking operation; program code for, responsive to said request for said social bookmarking operation, searching a document object model (DOM) of a currently loaded Web page for elements identifying corresponding socially bookmarkable resources displayed within said currently loaded Web page by checking elements in said DOM for elements having a class name matching a predetermined class name, wherein each of said socially bookmarkable resources identified by an element found in said searching is available for performing said requested social bookmarking operation, and modifying said DOM of said currently loaded Web page by placing a resource selection user interface object next to each one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for displaying said resource selection user interface display objects within said currently loaded Web page, wherein each of said resource selection user interface display objects visually indicates a corresponding one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for detecting a user clicking on one of said resource selection user interface display objects; and program code for performing said requested social bookmarking operation by bookmarking, in an external social bookmarking system, the corresponding one of the socially bookmarkable resources indicated by the resource selection user interface object clicked on by the user. 16. The system of claim 12 , wherein each of said resource selection user interface display objects are displayed responsive to said user hovering a cursor over a corresponding one of said socially bookmarkable resources. | 0.814597 |
8,280,800 | 11 | 18 | 11. A non-transitory computer program product comprising computer executable code sections, said computer executable code sections for performing the steps of: receiving selection criteria for an account; searching an account database for one or more accounts having account data that satisfies at least a portion of said selection criteria, wherein said account database comprises account data associated with one or more accounts, each said account representing an account receivable; receiving an offer from a buyer for at least one of said one or more accounts having account data that satisfies at least a portion of said selection criteria; and accepting automatically the offer in response to the offer fulfilling a term of a commitment for the at least one of said one or more accounts having account data that satisfies at least a portion of said selection criteria, the term of the commitment comprising a fixed price upon which a seller automatically accepts the offer. | 11. A non-transitory computer program product comprising computer executable code sections, said computer executable code sections for performing the steps of: receiving selection criteria for an account; searching an account database for one or more accounts having account data that satisfies at least a portion of said selection criteria, wherein said account database comprises account data associated with one or more accounts, each said account representing an account receivable; receiving an offer from a buyer for at least one of said one or more accounts having account data that satisfies at least a portion of said selection criteria; and accepting automatically the offer in response to the offer fulfilling a term of a commitment for the at least one of said one or more accounts having account data that satisfies at least a portion of said selection criteria, the term of the commitment comprising a fixed price upon which a seller automatically accepts the offer. 18. The computer program product of claim 11 , further comprising computer executable code sections for performing the steps of settling the purchase price. | 0.791444 |
10,146,417 | 1 | 5 | 1. In a digital medium environment including a computing device having a service provider that collects information for improving a user's document interaction, a method implemented by the computing device, the method comprising: receiving crowd-sourced information regarding document interaction by multiple users interacting with a document that has a document ID, the crowd-sourced information pertaining to settings or tools that are used by the multiple users on the document and including device characteristics associated with devices used to interact with the document; storing the crowd-sourced information in a data structure that identifies, for individual device types based on the device characteristics, settings or tools that were used to interact with the document; receiving, from a user computing device, a communication that includes a document ID and one or more device characteristics associated with the user computing device; based on the document ID and the one or more device characteristics, ascertaining, for a corresponding device type, one or more of settings or tools that are used by the multiple users from the multiple users' interaction patterns with the document; and causing the ascertained one or more of settings or tools to be automatically exposed by way of a document viewing application executing on the user computing device. | 1. In a digital medium environment including a computing device having a service provider that collects information for improving a user's document interaction, a method implemented by the computing device, the method comprising: receiving crowd-sourced information regarding document interaction by multiple users interacting with a document that has a document ID, the crowd-sourced information pertaining to settings or tools that are used by the multiple users on the document and including device characteristics associated with devices used to interact with the document; storing the crowd-sourced information in a data structure that identifies, for individual device types based on the device characteristics, settings or tools that were used to interact with the document; receiving, from a user computing device, a communication that includes a document ID and one or more device characteristics associated with the user computing device; based on the document ID and the one or more device characteristics, ascertaining, for a corresponding device type, one or more of settings or tools that are used by the multiple users from the multiple users' interaction patterns with the document; and causing the ascertained one or more of settings or tools to be automatically exposed by way of a document viewing application executing on the user computing device. 5. A method as described in claim 1 , wherein said ascertaining comprises ascertaining one or more of settings or tools that constitute commonly used settings or tools that are used by a threshold number of users. | 0.570565 |
8,760,389 | 1 | 4 | 1. A method comprising: reading handwriting information; recognizing said handwriting information in a first recognition mode and a second recognition mode, wherein one of the first recognition mode and the second recognition mode is designated as active and the other recognition mode is designated as inactive; concurrently displaying character candidates on a display, at least one of the character candidates obtained in said first recognition mode and at least one of the character candidates obtained in said second recognition mode, wherein the character candidates are text characters, wherein concurrently displaying comprises: displaying a first number of the character candidates obtained in the recognition mode designated as active; and displaying a second number of the character candidates obtained in the recognition mode designated as inactive, wherein the first number is greater than the second number; and receiving a selection of a character candidate among the character candidates being displayed. | 1. A method comprising: reading handwriting information; recognizing said handwriting information in a first recognition mode and a second recognition mode, wherein one of the first recognition mode and the second recognition mode is designated as active and the other recognition mode is designated as inactive; concurrently displaying character candidates on a display, at least one of the character candidates obtained in said first recognition mode and at least one of the character candidates obtained in said second recognition mode, wherein the character candidates are text characters, wherein concurrently displaying comprises: displaying a first number of the character candidates obtained in the recognition mode designated as active; and displaying a second number of the character candidates obtained in the recognition mode designated as inactive, wherein the first number is greater than the second number; and receiving a selection of a character candidate among the character candidates being displayed. 4. The method according to claim 1 , further comprising: switching a designation of the first recognition mode from active to inactive and a designation of the second recognition mode from inactive to active in response to the selection of the character candidate; displaying in a first manner each of the character candidates for which the recognition mode in which the character candidate is obtained is designated as active after the switching; and displaying in a second manner each of the character candidates for which the recognition mode in which the character candidate is obtained is designated as inactive after the switching. | 0.5 |
8,839,107 | 1 | 17 | 1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. | 1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. 17. The method of claim 1 , further comprising: providing a graphical user interface; and performing said user task by way of said graphical user interface. | 0.509434 |
7,743,015 | 1 | 3 | 1. A data processing system, comprising: a relational database for storage of transaction data; an OLAP database for storage of a replication of the transaction data in an OLAP cube, the OLAP database having a plurality of OLAP cubes and structural cube definition data for the OLAP cubes; a processor; a random access memory, storing instructions that cause the processor to perform a method comprising: storing data indicative of a replication time in the OLAP database, the data indicative of the replication time being replicated from the relational database at the replication time; receiving a request for data stored in the OLAP database, the request specifying at least a first time interval and a name of the OLAP cube in the OLAP database, wherein the first time interval includes an upper limit and a lower limit; reading an actual time from a time reference and determining the replication time using the actual time and a replication time scheme; reading, after receiving the request, OLAP cube data from a OLAP cube associated with the name, wherein the OLAP cube data is associated with a first portion of the data in the request; storing the OLAP cube data in the random access memory; generating a query for the relational database when the upper limit of the first time interval specified in the request is more recent than the replication time, wherein the query specifies a second time interval that includes a lower limit given by the replication time and an upper limit given by the upper limit of the first time interval, and the query is associated with a second portion of the data in the request; receiving replication data from the relational database in response to the query; storing the replication data in the random access memory; and generating an output as a response to the request using the OLAP cube data and the replication data stored in the random access memory. | 1. A data processing system, comprising: a relational database for storage of transaction data; an OLAP database for storage of a replication of the transaction data in an OLAP cube, the OLAP database having a plurality of OLAP cubes and structural cube definition data for the OLAP cubes; a processor; a random access memory, storing instructions that cause the processor to perform a method comprising: storing data indicative of a replication time in the OLAP database, the data indicative of the replication time being replicated from the relational database at the replication time; receiving a request for data stored in the OLAP database, the request specifying at least a first time interval and a name of the OLAP cube in the OLAP database, wherein the first time interval includes an upper limit and a lower limit; reading an actual time from a time reference and determining the replication time using the actual time and a replication time scheme; reading, after receiving the request, OLAP cube data from a OLAP cube associated with the name, wherein the OLAP cube data is associated with a first portion of the data in the request; storing the OLAP cube data in the random access memory; generating a query for the relational database when the upper limit of the first time interval specified in the request is more recent than the replication time, wherein the query specifies a second time interval that includes a lower limit given by the replication time and an upper limit given by the upper limit of the first time interval, and the query is associated with a second portion of the data in the request; receiving replication data from the relational database in response to the query; storing the replication data in the random access memory; and generating an output as a response to the request using the OLAP cube data and the replication data stored in the random access memory. 3. The data processing system of claim 1 , wherein the query comprises an SQL statement corresponding to the structural cube definition data of the OLAP cube. | 0.5 |
7,870,118 | 23 | 24 | 23. A search engine stored on a computer readable storage medium, having stored thereon instructions for extracting terms from a query, comprising machine executable code which when executed by at least one machine, causes the machine to: generate a query analyser for processing a query to assign respective weights to terms of said query based on the grammatical structure of the query and the meaning of the terms of the query and to generate a query vector including said weights; generate an index network responsive to said query vector to output indices to data in response to said query, said index network being a self generating neural network having nodes of weight vectors representing categories and terms of said data, said nodes further including pointers to other nodes, and leaf nodes of said network each including an index to said data; and generate a feature extractor for extracting said indices and respective terms of said data as term weight pairs, the weights of the pairs being based on the importance and uniqueness of component ngrams of the terms of an indexed document and the terms being extracted on the basis of the distribution of ngrams in a document space of index documents of said data; and wherein said neural network is generated on the basis of training examples including said term weight pairs, and the format of said query vectors and weights vectors of said network is generated on the basis of said training examples. | 23. A search engine stored on a computer readable storage medium, having stored thereon instructions for extracting terms from a query, comprising machine executable code which when executed by at least one machine, causes the machine to: generate a query analyser for processing a query to assign respective weights to terms of said query based on the grammatical structure of the query and the meaning of the terms of the query and to generate a query vector including said weights; generate an index network responsive to said query vector to output indices to data in response to said query, said index network being a self generating neural network having nodes of weight vectors representing categories and terms of said data, said nodes further including pointers to other nodes, and leaf nodes of said network each including an index to said data; and generate a feature extractor for extracting said indices and respective terms of said data as term weight pairs, the weights of the pairs being based on the importance and uniqueness of component ngrams of the terms of an indexed document and the terms being extracted on the basis of the distribution of ngrams in a document space of index documents of said data; and wherein said neural network is generated on the basis of training examples including said term weight pairs, and the format of said query vectors and weights vectors of said network is generated on the basis of said training examples. 24. A search engine as claimed in claim 23 , wherein the weights of said query vector are assigned based on the importance of the terms in said query. | 0.710425 |
6,154,722 | 2 | 3 | 2. The method of claim 1, wherein the language model is used with at least one acoustic model to perform a hypothesis search on an acoustic sequence to provide a word sequence output. | 2. The method of claim 1, wherein the language model is used with at least one acoustic model to perform a hypothesis search on an acoustic sequence to provide a word sequence output. 3. The method of claim 2, wherein the at least one acoustic model is based on a hidden Markov model paradigm, wherein the at least one acoustic model comprises one model for each of at least one phonemes. | 0.5 |
8,294,567 | 2 | 4 | 2. The system of claim 1 , wherein: the attributes include one or more of temperature values, temperature rise rates, smoke concentrations and carbon monoxide (CO) concentrations; and the plurality of sensors include one or more of temperature sensors, smoke sensors, CO sensors and infrared sensors. | 2. The system of claim 1 , wherein: the attributes include one or more of temperature values, temperature rise rates, smoke concentrations and carbon monoxide (CO) concentrations; and the plurality of sensors include one or more of temperature sensors, smoke sensors, CO sensors and infrared sensors. 4. The system of claim 2 , wherein: the carbon monoxide (CO) sensor is a tin oxide element based sensor configured to measure CO concentration. | 0.5 |
7,546,382 | 36 | 59 | 36. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements, wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring. | 36. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements, wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring. 59. The method of claim 36 , wherein the representation permits modeling of the application state along with associated type and cross-field constraints. | 0.768182 |
8,078,451 | 3 | 5 | 3. The method of claim 1 , wherein editing the copies of the sentences includes providing a user interface that displays the copies of the sentences to a human editor and provides an input device to receive input from the editor. | 3. The method of claim 1 , wherein editing the copies of the sentences includes providing a user interface that displays the copies of the sentences to a human editor and provides an input device to receive input from the editor. 5. The method of claim 3 , wherein the step of providing the user interface includes providing an indication of suggested editorial corrections to the editor. | 0.50625 |
9,431,005 | 8 | 10 | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform a method comprising: projecting an expected demand for speech recognition resources; identifying, based on the expected demand for speech recognition, a main speech recognizer and a supplemental speech recognizer; assigning the main speech recognizer to recognize a plurality of speech from a plurality of speakers; beginning to process the plurality of speech using the main speech recognizer, to yield main results; and upon determining that first speech recognition results of a first user in the plurality of speakers have a lower accuracy than alternative speech recognition results of a second user: assigning the supplemental speech recognizer to recognize speech from the first user, wherein the assigning of the supplemental speech recognizer is a reallocation of the supplemental speech recognizer away from the second user; continuing to process the speech from the first user using the supplemental speech recognizer and the main speech recognizer, to yield supplemental results; and combining additional speech recognition results, produced by the main speech recognizer, and the supplemental results. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform a method comprising: projecting an expected demand for speech recognition resources; identifying, based on the expected demand for speech recognition, a main speech recognizer and a supplemental speech recognizer; assigning the main speech recognizer to recognize a plurality of speech from a plurality of speakers; beginning to process the plurality of speech using the main speech recognizer, to yield main results; and upon determining that first speech recognition results of a first user in the plurality of speakers have a lower accuracy than alternative speech recognition results of a second user: assigning the supplemental speech recognizer to recognize speech from the first user, wherein the assigning of the supplemental speech recognizer is a reallocation of the supplemental speech recognizer away from the second user; continuing to process the speech from the first user using the supplemental speech recognizer and the main speech recognizer, to yield supplemental results; and combining additional speech recognition results, produced by the main speech recognizer, and the supplemental results. 10. The system of claim 8 , wherein the main speech recognizer and the supplemental speech recognizer belong to a plurality of speech recognizers comprising additional speech recognizers. | 0.578829 |
9,817,677 | 7 | 11 | 7. A data driven validation system comprising: one or more processors; a memory; an abstract rule store stored in the memory linking one or more rule instance data items to one or more corresponding rules stored in a concrete rule store, each rule instance data item comprising a target data identifier identifying a data type of a target data item processed by its respective linked one or more corresponding rules, and at least one rule instance data item comprises a condition which is implemented as another rule instance data item and an exemption data item, prior to executing a corresponding rule for which the condition has been satisfied, accessible by the rule engine like any other rule instance data item and is attached to the one or more rule instance data items, wherein the another rule is independently executed to determine whether the at least one rule instance data item is to be executed; a validation software interface executing on the one or more processors for receiving a validation request comprising a target data object from an executing application, the target data object including one or more target data items of the object to be validated; a rule engine executing on the one or more processors for accessing the one or more rule instance data items communicatively coupled to the validation software interface to receive the validation request; the rule engine identifies one or more rule instance data items based on the target data identifier which are applicable to the one or more target data items; the rule engine executes rule logic, which is decoupled from a client device executing the application requesting the validation, and processing the one or more rule instance data items of the corresponding one or more rules linked to the identified one or more rule instance data items, without having to update the application wherein the target data object identifies each target data member item by a class identifier and a property identifier; and identifying a data type and any inherited data type for the one or more target data item members comprises determining data types and class membership based on identifying matches with the class identifier and the property identifier for each target data member item and the data type and any inherited data type. | 7. A data driven validation system comprising: one or more processors; a memory; an abstract rule store stored in the memory linking one or more rule instance data items to one or more corresponding rules stored in a concrete rule store, each rule instance data item comprising a target data identifier identifying a data type of a target data item processed by its respective linked one or more corresponding rules, and at least one rule instance data item comprises a condition which is implemented as another rule instance data item and an exemption data item, prior to executing a corresponding rule for which the condition has been satisfied, accessible by the rule engine like any other rule instance data item and is attached to the one or more rule instance data items, wherein the another rule is independently executed to determine whether the at least one rule instance data item is to be executed; a validation software interface executing on the one or more processors for receiving a validation request comprising a target data object from an executing application, the target data object including one or more target data items of the object to be validated; a rule engine executing on the one or more processors for accessing the one or more rule instance data items communicatively coupled to the validation software interface to receive the validation request; the rule engine identifies one or more rule instance data items based on the target data identifier which are applicable to the one or more target data items; the rule engine executes rule logic, which is decoupled from a client device executing the application requesting the validation, and processing the one or more rule instance data items of the corresponding one or more rules linked to the identified one or more rule instance data items, without having to update the application wherein the target data object identifies each target data member item by a class identifier and a property identifier; and identifying a data type and any inherited data type for the one or more target data item members comprises determining data types and class membership based on identifying matches with the class identifier and the property identifier for each target data member item and the data type and any inherited data type. 11. The system of claim 7 , wherein the rule engine executes the rule logic corresponding to the condition implemented as another rule instance for determining whether an exemption action with respect to the corresponding rule is to be applied. | 0.74477 |
8,862,534 | 14 | 16 | 14. The method of claim 1 including, in a case that a user expresses an interest or expertise that has a corresponding encyclopedic document, using Wikipedia as a knowledge base, to form vector space matching with other objects. | 14. The method of claim 1 including, in a case that a user expresses an interest or expertise that has a corresponding encyclopedic document, using Wikipedia as a knowledge base, to form vector space matching with other objects. 16. The method of claim 14 including, when users provided information about their interests directly, using document content, in particular term frequency, to represent their interests; and, when interests and expertise are expressed indirectly (and continuously, through third party data providers), we chose the document category representation. | 0.5 |
7,966,408 | 9 | 15 | 9. A method for operating a middleware framework supporting processing of an XML-based description of an adaptive mobile application or presentation according to claim 7 , wherein said middleware framework allows each running mobile multimedia application to specify media each running mobile multimedia application wants to use and relationships between these media, calculates adaptation possibilities of mobile multimedia applications and controls an adaptation process. | 9. A method for operating a middleware framework supporting processing of an XML-based description of an adaptive mobile application or presentation according to claim 7 , wherein said middleware framework allows each running mobile multimedia application to specify media each running mobile multimedia application wants to use and relationships between these media, calculates adaptation possibilities of mobile multimedia applications and controls an adaptation process. 15. The method according to claim 9 , further comprising: dynamically binding media items to a specific region on a visual rendering surface of the mobile display device, said binding being initiated by changes of the current QoS. | 0.5 |
7,930,719 | 1 | 3 | 1. A method implemented at a set top box for enabling access to media programs with content distributed by a server in multiple languages, the method comprising: receiving a first user input to select a language for interacting with the set top box; receiving program guide data associated with the language selected by the user; sending the program guide data associated with the language selected by the user to a display; receiving a second user input to select a program for receiving from the server, wherein the program has a plurality of associated tracks having content in at least two different languages, wherein each track is associated with a single language, and wherein the first and the second selection opportunities are separate selection opportunities; receiving from the server a transmission including the selected program; and in response to the second selection opportunity, sending only a track associated with the language selected by the first user input to the display. | 1. A method implemented at a set top box for enabling access to media programs with content distributed by a server in multiple languages, the method comprising: receiving a first user input to select a language for interacting with the set top box; receiving program guide data associated with the language selected by the user; sending the program guide data associated with the language selected by the user to a display; receiving a second user input to select a program for receiving from the server, wherein the program has a plurality of associated tracks having content in at least two different languages, wherein each track is associated with a single language, and wherein the first and the second selection opportunities are separate selection opportunities; receiving from the server a transmission including the selected program; and in response to the second selection opportunity, sending only a track associated with the language selected by the first user input to the display. 3. The method of claim 1 comprising storing the language selected by the user in a memory of the set top box. | 0.892717 |
4,122,444 | 1 | 11 | 1. An apparatus responsive to encoded signals representing numerical value information for displaying said numerical value information selectively in one of a plurality of different sets of numeral characters, said apparatus comprising means for receiving said encoded signals, converting means connected to said receiving means for converting said encoded signals into a plurality of different kinds of element select signals respectively corresponding to said different sets of numeral characters, and display means comprising a plurality of sets of different display elements corresponding respectively to said different sets of numeral characters, said display means being connected to said converting means for receiving said different kinds of element select signals and responsive to each different kind of element select signal for activating at least one selected display element from a respective one of said corresponding sets of different display elements. | 1. An apparatus responsive to encoded signals representing numerical value information for displaying said numerical value information selectively in one of a plurality of different sets of numeral characters, said apparatus comprising means for receiving said encoded signals, converting means connected to said receiving means for converting said encoded signals into a plurality of different kinds of element select signals respectively corresponding to said different sets of numeral characters, and display means comprising a plurality of sets of different display elements corresponding respectively to said different sets of numeral characters, said display means being connected to said converting means for receiving said different kinds of element select signals and responsive to each different kind of element select signal for activating at least one selected display element from a respective one of said corresponding sets of different display elements. 11. An apparatus in accordance with claim 1, wherein said plurality of different sets of numeral characters comprises a first and second set thereof, and said converting means comprises first converting means for converting said coded numerical value information signal into said first kind of element select signal for representing said numerical value information by said first set of numeral characters, and second converting means for converting said coded numerical value information signal into said second kind of element select signal for representing said numerical value information by said second set of numeral characters. | 0.534508 |
9,424,311 | 6 | 8 | 6. A non-transitory computer readable storage medium having computer usable program code encoded thereon for performing a query on a relational database, the computer usable program code comprising: computer usable program code for receiving a query; computer usable program code for determining a corresponding complexity class of a plurality of complexity classes for the query, by determining a static complexity class for the query and by determining dynamic complexity classes for the query; computer usable program code for decomposing the query into sub queries; computer usable program code for devising a query execution plan using the dynamic complexity classes determined and algorithms available to a plurality of query processors; computer usable program code for routing the decomposed query to corresponding query processors of the plurality of query processors based on the corresponding complexity class determined for the received query; and computer usable program code for executing the decomposed query on the corresponding query processors according to a devised execution plan. | 6. A non-transitory computer readable storage medium having computer usable program code encoded thereon for performing a query on a relational database, the computer usable program code comprising: computer usable program code for receiving a query; computer usable program code for determining a corresponding complexity class of a plurality of complexity classes for the query, by determining a static complexity class for the query and by determining dynamic complexity classes for the query; computer usable program code for decomposing the query into sub queries; computer usable program code for devising a query execution plan using the dynamic complexity classes determined and algorithms available to a plurality of query processors; computer usable program code for routing the decomposed query to corresponding query processors of the plurality of query processors based on the corresponding complexity class determined for the received query; and computer usable program code for executing the decomposed query on the corresponding query processors according to a devised execution plan. 8. The non-transitory computer readable storage medium of claim 6 , wherein the plurality of complexity classes include a polynomial time complexity class, a nondeterministic polynomial time complexity class, a nondeterministic polynomial time hard complexity class, and a nondeterministic exponential time complexity class. | 0.668033 |
9,191,515 | 1 | 14 | 1. A voice messaging system for converting an audio voice message from a caller to text, the voice messaging system comprising: at least one automatic speech recognition (ASR) resource; and a computer implemented context sub-system configured to: use context information about the context of the audio voice message or a part of the audio voice message to limit the vocabulary used by the at least one ASR resource to improve conversion accuracy of the at least one ASR resource in converting at least a portion of the audio voice message to text; and a text output device that outputs the text to the intended recipient. | 1. A voice messaging system for converting an audio voice message from a caller to text, the voice messaging system comprising: at least one automatic speech recognition (ASR) resource; and a computer implemented context sub-system configured to: use context information about the context of the audio voice message or a part of the audio voice message to limit the vocabulary used by the at least one ASR resource to improve conversion accuracy of the at least one ASR resource in converting at least a portion of the audio voice message to text; and a text output device that outputs the text to the intended recipient. 14. The system of claim 1 , wherein the audio voice message is a voicemail intended for a mobile telephone and the audio voice message is converted to text and sent to that mobile telephone. | 0.594017 |
9,483,738 | 1 | 11 | 1. A method comprising: defining, by a computing device, information for a set of genomes, the set of genomes describing characteristics of media programs; defining, by the computing device, which genomes in the set of genomes correspond to which topics in a set of topics; inputting, by the computing device, textual information for a plurality of media programs and the information for the set of genomes into a model; training, by the computing device, the model to determine a probability distribution of terms for the set of topics based on analyzing the textual information and the information for the set of genomes, wherein training comprises incorporation a parameter that prevents topics from being submerged by other topics that are larger via a first item in the model; and outputting, by the computing device, the trained model, wherein the probability distribution of terms is usable to determine genomes for each of the plurality of media programs, wherein a genome corresponds to a topic and is associated with a media program based on terms found in the textual information for the media program and the probability distribution of terms for the topic corresponding to the genome. | 1. A method comprising: defining, by a computing device, information for a set of genomes, the set of genomes describing characteristics of media programs; defining, by the computing device, which genomes in the set of genomes correspond to which topics in a set of topics; inputting, by the computing device, textual information for a plurality of media programs and the information for the set of genomes into a model; training, by the computing device, the model to determine a probability distribution of terms for the set of topics based on analyzing the textual information and the information for the set of genomes, wherein training comprises incorporation a parameter that prevents topics from being submerged by other topics that are larger via a first item in the model; and outputting, by the computing device, the trained model, wherein the probability distribution of terms is usable to determine genomes for each of the plurality of media programs, wherein a genome corresponds to a topic and is associated with a media program based on terms found in the textual information for the media program and the probability distribution of terms for the topic corresponding to the genome. 11. The method of claim 1 , wherein defining information for the set of genomes comprises defining, by the computing device, terms that co-occur in a topic or cannot occur in the topic based on domain knowledge. | 0.835156 |
9,025,851 | 8 | 13 | 8. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for receiving, from an automated teller machine (ATM), an indication of a user transaction between a user and a merchant for a product or service, wherein receiving the indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for determining data from the transaction documents associated with the user transaction, wherein the determined data is stored as text data, wherein the stored text data comprises a description the product or service of the user transaction; an executable portion configured for determining elements from the transaction documents associated with the user transaction, wherein elements are captured images of the transaction documents, wherein the captured elements are stored as image data; an executable portion configured for determining that the transaction documents contains a handwritten signature; an executable portion configured for capturing an image of the handwritten signature; an executable portion configured for storing a copy of the image of the handwritten signature; an executable portion configured for receiving a request for a copy of an image of one or more of the transaction documents associated with the user transaction, wherein the copy of an image is a generated image representing the image of the transaction documents associated with the user transaction; an executable portion configured for retrieving the stored text data and the stored image data from the one or more transaction documents based requested; an executable portion configured for merging the retrieved stored text data and the copy of the image of the handwritten signature onto a template from the one or more transaction documents to create a copy of the image of the one or more transaction documents requested, wherein merging the copy of the handwritten signature is based on determining that the transaction documents contains a handwritten signature; an executable portion configured for analyzing user transaction habits based on a compiling of the stored text data from the transaction documents associated with one or more user transactions; an executable portion configured for determining, from the user transaction habits, one or more potential product recommendations for the user based on analyzing the user transaction habits; and an executable portion configured for communicating, to the ATM, at least the one or more potential product recommendations for the user, and the copy of the image of the one or more transaction documents requested. | 8. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for receiving, from an automated teller machine (ATM), an indication of a user transaction between a user and a merchant for a product or service, wherein receiving the indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for determining data from the transaction documents associated with the user transaction, wherein the determined data is stored as text data, wherein the stored text data comprises a description the product or service of the user transaction; an executable portion configured for determining elements from the transaction documents associated with the user transaction, wherein elements are captured images of the transaction documents, wherein the captured elements are stored as image data; an executable portion configured for determining that the transaction documents contains a handwritten signature; an executable portion configured for capturing an image of the handwritten signature; an executable portion configured for storing a copy of the image of the handwritten signature; an executable portion configured for receiving a request for a copy of an image of one or more of the transaction documents associated with the user transaction, wherein the copy of an image is a generated image representing the image of the transaction documents associated with the user transaction; an executable portion configured for retrieving the stored text data and the stored image data from the one or more transaction documents based requested; an executable portion configured for merging the retrieved stored text data and the copy of the image of the handwritten signature onto a template from the one or more transaction documents to create a copy of the image of the one or more transaction documents requested, wherein merging the copy of the handwritten signature is based on determining that the transaction documents contains a handwritten signature; an executable portion configured for analyzing user transaction habits based on a compiling of the stored text data from the transaction documents associated with one or more user transactions; an executable portion configured for determining, from the user transaction habits, one or more potential product recommendations for the user based on analyzing the user transaction habits; and an executable portion configured for communicating, to the ATM, at least the one or more potential product recommendations for the user, and the copy of the image of the one or more transaction documents requested. 13. The computer program product of claim 8 , wherein transaction documents comprise one or more of a check, deposit ticket, automated teller machine (ATM) receipt, or general ledger ticket. | 0.760705 |
8,176,068 | 15 | 20 | 15. The apparatus of claim 14 , wherein the query suggestion function includes: a local information extractor configured for obtaining key terms related to the selected term based on locally available content information; an external information extractor configured for obtaining key terms related to the selected term based on information available on external sources; and the apparatus further including an aggregation function configured for aggregating the obtained key terms for display as query suggestions. | 15. The apparatus of claim 14 , wherein the query suggestion function includes: a local information extractor configured for obtaining key terms related to the selected term based on locally available content information; an external information extractor configured for obtaining key terms related to the selected term based on information available on external sources; and the apparatus further including an aggregation function configured for aggregating the obtained key terms for display as query suggestions. 20. The apparatus of claim 15 , wherein the external information extractor is further configured for obtaining key terms that contain the selected term based on information available on Internet sources. | 0.614068 |
9,378,734 | 1 | 5 | 1. An apparatus comprising: at least one processor; and at least one computer-readable storage medium having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of processing results of a recognition by an automatic speech recognition (ASR) system on an utterance, the results comprising two or more results identified by the ASR system as likely to be accurate recognition results for the utterance, the two or more results comprising a first result and a second result, wherein the first result is identified by the ASR system as most likely among the two or more results to be an accurate recognition result, the method comprising: evaluating the first result using a medical fact extractor to extract a first set of one or more medical facts; evaluating the second result using the medical fact extractor to extract a second set of one or more medical facts; determining whether the first set of one or more medical facts has a meaning that is different in a medically significant way from a meaning of the second set of one or more medical facts; and in response to determining that the first set of one or more medical facts has a meaning that is different in a medically significant way from the meaning of the second set of one or more medical facts, triggering presentation of an alert to a user via a user interface, wherein the determining whether the first set of one or more medical facts has a meaning that is different in a medically significant way from the second set of one or more medical facts comprises: determining whether the first set comprises a medical fact having a fact type that is marked as significant; when it is determined that the first set comprises the medical fact having the fact type that is marked as significant, determining whether the second set comprises the medical fact; and in response to determining that the second set does not comprise the medical fact, determining that the second set has a meaning that differs from a meaning of the first set in a medically significant way. | 1. An apparatus comprising: at least one processor; and at least one computer-readable storage medium having encoded thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of processing results of a recognition by an automatic speech recognition (ASR) system on an utterance, the results comprising two or more results identified by the ASR system as likely to be accurate recognition results for the utterance, the two or more results comprising a first result and a second result, wherein the first result is identified by the ASR system as most likely among the two or more results to be an accurate recognition result, the method comprising: evaluating the first result using a medical fact extractor to extract a first set of one or more medical facts; evaluating the second result using the medical fact extractor to extract a second set of one or more medical facts; determining whether the first set of one or more medical facts has a meaning that is different in a medically significant way from a meaning of the second set of one or more medical facts; and in response to determining that the first set of one or more medical facts has a meaning that is different in a medically significant way from the meaning of the second set of one or more medical facts, triggering presentation of an alert to a user via a user interface, wherein the determining whether the first set of one or more medical facts has a meaning that is different in a medically significant way from the second set of one or more medical facts comprises: determining whether the first set comprises a medical fact having a fact type that is marked as significant; when it is determined that the first set comprises the medical fact having the fact type that is marked as significant, determining whether the second set comprises the medical fact; and in response to determining that the second set does not comprise the medical fact, determining that the second set has a meaning that differs from a meaning of the first set in a medically significant way. 5. The apparatus of claim 1 , wherein the results of the recognition by the ASR system comprise a plurality of results identified by the ASR system as likely to be an accurate recognition result for the speech input, and wherein the method further comprises selecting, from the plurality of results, the two or more results to be evaluated by the medical fact extractor. | 0.676573 |
7,765,200 | 13 | 18 | 13. A database management system for query problem determination, the system comprising: means for receiving a database query; means for creating a query execution plan for problem determination of the database query, the query execution plan comprising a plurality of query plan operators; means for executing the query execution plan; means for displaying a progress indicator for each of the plurality of query plan operators during execution of the query execution plan in response to progress information; means for communicating progress information to a query progress analyzer for performing debugging operations; and means for performing debugging operations during execution of the query execution plan by a query progress analyzer, wherein performing the debugging operations means comprises: means for skipping at least a portion of the query execution plan; means for pausing execution of the query execution plan at a designated point; means for inspecting the query execution plan including one or more of looking up variables in the query execution plan and stepping through the query execution plan to inspect different portions of the query execution for problem determination, while the query execution is paused; means for resuming execution of the query execution plan from the designated point; and means for providing updated progress information to update display of the progress indicator, wherein upon the query execution plan's invocation, a wrapper function intervenes and jumps into debugging logic which increments a counter for the current query plan operator, and executes any additional instructions corresponding to the query plan operator, wherein the additional instructions include graphically displaying the progress as an enhancement to a query explain tool, wherein the query explain tool would poll the current status of the actual cardinalities processed for each part of the query execution plan and utilizing the existing explain facility. | 13. A database management system for query problem determination, the system comprising: means for receiving a database query; means for creating a query execution plan for problem determination of the database query, the query execution plan comprising a plurality of query plan operators; means for executing the query execution plan; means for displaying a progress indicator for each of the plurality of query plan operators during execution of the query execution plan in response to progress information; means for communicating progress information to a query progress analyzer for performing debugging operations; and means for performing debugging operations during execution of the query execution plan by a query progress analyzer, wherein performing the debugging operations means comprises: means for skipping at least a portion of the query execution plan; means for pausing execution of the query execution plan at a designated point; means for inspecting the query execution plan including one or more of looking up variables in the query execution plan and stepping through the query execution plan to inspect different portions of the query execution for problem determination, while the query execution is paused; means for resuming execution of the query execution plan from the designated point; and means for providing updated progress information to update display of the progress indicator, wherein upon the query execution plan's invocation, a wrapper function intervenes and jumps into debugging logic which increments a counter for the current query plan operator, and executes any additional instructions corresponding to the query plan operator, wherein the additional instructions include graphically displaying the progress as an enhancement to a query explain tool, wherein the query explain tool would poll the current status of the actual cardinalities processed for each part of the query execution plan and utilizing the existing explain facility. 18. The database management system of claim 13 , wherein inspecting the query execution plan means comprises: means for stepping through the query execution plan to inspect different portions of the query execution plan and looking up variables in the query execution plan. | 0.713235 |
9,697,255 | 26 | 33 | 26. A method of configuring a complex event processing (CEP) system in which a stream of events is received via an event bus, each said event having a predefined event type, the method comprising: receiving queries that are to be executable in connection with the CEP system; determining, in connection with at least one processor, whether a received query either initially conforms to a CEP query language executable by an event processing agent, or must be translated from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology in order to render it executable via the event processing agent; when the received query must be translated, generating a translated query from the enhanced query in accordance with mappings between concepts of the CEP system and concepts of the ontology, wherein the enhanced query includes references to ontology concepts and the references to the ontology concepts are translated into queries processable by the event processing agent in accordance with the query language; and deploying all queries that initially conform to the CEP query language and all translated queries for possible subsequent execution; wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled. | 26. A method of configuring a complex event processing (CEP) system in which a stream of events is received via an event bus, each said event having a predefined event type, the method comprising: receiving queries that are to be executable in connection with the CEP system; determining, in connection with at least one processor, whether a received query either initially conforms to a CEP query language executable by an event processing agent, or must be translated from an enhanced query that conforms to a version of the CEP query language that has been enriched so that semantics thereof are represented in accordance with an ontology in order to render it executable via the event processing agent; when the received query must be translated, generating a translated query from the enhanced query in accordance with mappings between concepts of the CEP system and concepts of the ontology, wherein the enhanced query includes references to ontology concepts and the references to the ontology concepts are translated into queries processable by the event processing agent in accordance with the query language; and deploying all queries that initially conform to the CEP query language and all translated queries for possible subsequent execution; wherein the concepts of the ontology are classes, and wherein the generating of the translated query comprises, for the enhanced query: retrieving a class definition for all referenced classes from a corresponding ontology; determining whether the referenced classes are marked as being handled; when the referenced classes are marked as being handled, transforming the respective class definition to the query language, and compiling the translated query; and when the referenced classes are not marked as being handled: when the respective class does not have a corresponding mapping, replacing the class with a union of all of its sub-classes; when the respective class has a corresponding mapping but no sub-classes, removing the reference to the class; and when the respective class has a corresponding mapping and any sub-classes, adding a union with all sub-classes to the class and marking the class as handled. 33. The method of claim 26 , wherein the translated queries are free from, and lack any reference to, any ontology concepts. | 0.875502 |
8,959,101 | 1 | 17 | 1. A system for enabling a user to locate information of interest in different human languages, comprising: one or more databases containing terms in a first human language, wherein the terms are organized into a hierarchical structure; a first computer executing search interface software recorded on a computer-readable medium and associated with a collection of information in a second human language, wherein the search interface software when executed causes the first computer to receive search queries in the second human language and to communicate search results from the collection of information in the second human language; and a second computer executing user interface software recorded on a computer-readable medium, wherein the user interface software when executed causes the second computer to communicate with the one or more databases, the search interface software, and a user, and to: access the terms in the first human language from the one or more databases; communicate with the user to allow the user to navigate through the terms in accordance with the hierarchical structure; receive an indication that the user has selected one or more of the terms in the first human language; generate a draft search query in the second human language based on a translation of the selected one or more terms; display the draft search query in the second human language to the user; receive a revised search query in the second human language from the user; communicate the revised search query in the second human language to the first computer executing the search interface software; receive from the first computer search results in the second human language; and communicate the search results in the second human language to the user, wherein the one or more databases, the first computer, and the second computer are in communication with a computer network. | 1. A system for enabling a user to locate information of interest in different human languages, comprising: one or more databases containing terms in a first human language, wherein the terms are organized into a hierarchical structure; a first computer executing search interface software recorded on a computer-readable medium and associated with a collection of information in a second human language, wherein the search interface software when executed causes the first computer to receive search queries in the second human language and to communicate search results from the collection of information in the second human language; and a second computer executing user interface software recorded on a computer-readable medium, wherein the user interface software when executed causes the second computer to communicate with the one or more databases, the search interface software, and a user, and to: access the terms in the first human language from the one or more databases; communicate with the user to allow the user to navigate through the terms in accordance with the hierarchical structure; receive an indication that the user has selected one or more of the terms in the first human language; generate a draft search query in the second human language based on a translation of the selected one or more terms; display the draft search query in the second human language to the user; receive a revised search query in the second human language from the user; communicate the revised search query in the second human language to the first computer executing the search interface software; receive from the first computer search results in the second human language; and communicate the search results in the second human language to the user, wherein the one or more databases, the first computer, and the second computer are in communication with a computer network. 17. The system of claim 1 , wherein the user interface software when executed causes the second computer to generate the draft search query in the second human language by: generating the draft search query in the first human language based on the selected one or more terms; and translating the draft search query in the first human language into the second human language to form the draft search query in the second human language. | 0.692635 |
8,943,100 | 14 | 27 | 14. The method according to claim 1 , wherein a structure in the structure dictionary takes a form of a word built using an alphabet of symbols taking a form of constants corresponding to at least one of alpha-numeric strings and characters, and variables corresponding to at least one generic data type, the word being built using formation rules of a formal language, the method of building the structure sub-collection of values matching said word comprising: storing portions of values corresponding to the same symbol in the same symbol sub-collection, the values matching the word, the portions matching the symbol while parsing the values along the structure of the word; and storing the structure sub-collection in a form of the symbol sub-collections corresponding to all particular symbols from which the word is formed using the formation rules. | 14. The method according to claim 1 , wherein a structure in the structure dictionary takes a form of a word built using an alphabet of symbols taking a form of constants corresponding to at least one of alpha-numeric strings and characters, and variables corresponding to at least one generic data type, the word being built using formation rules of a formal language, the method of building the structure sub-collection of values matching said word comprising: storing portions of values corresponding to the same symbol in the same symbol sub-collection, the values matching the word, the portions matching the symbol while parsing the values along the structure of the word; and storing the structure sub-collection in a form of the symbol sub-collections corresponding to all particular symbols from which the word is formed using the formation rules. 27. The method according to claim 14 , wherein the word belonging to the structure dictionary is modifiable and further comprising: immediately applying the modification of the word to all components of collections of values that are affected by the modification and the components are re-stored using the modification; not applying the modification to already existing collections of values, any applying the modification to collections of values corresponding to values being inserted to or updated in the relational database system after the modification occurs; evaluating whether the modification of the word should be applied to re-form particular already existing collections of values based on a group of criteria including at least one of minimizing the amounts of values stored in outlier sub-collections, minimizing the cost of storing data in a form of the structure sub-collections corresponding to the modification, and minimizing the cost of re-storing each of the already existing collections of values according to the modification; and reporting estimated amounts of values stored in outlier sub-collections using an interface, the estimated cost of storing data in a form of the structure sub-collections corresponding to the modification, and the estimated cost of re-storing each of the already existing collections of values according to the modification, the user determining whether the modification should be applied to start re-storing the collections of values. | 0.5 |
8,719,217 | 1 | 8 | 1. A computer-implemented method for facilitating collaboration between users of a plurality of user terminals around a data measure mapped to a multi-dimensional data model, the computer-implemented method comprising: electronically processing, by a computer system, a first request from a first user terminal of a plurality of user terminals to associate a discussion object with a data measure mapped to a multi-dimensional data model, the discussion object including a first entry by a first user and enabling users of the plurality of user terminals to communicate based on the data measure, the multi-dimensional data model configured for access by online analytical processing (OLAP) applications; determining, by the computer system, coordinates of a plurality of data dimensions of the multi-dimensional data model that uniquely identify to the data measure; storing, by the computer system, in an electronic data storage the discussion object in association with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; receiving, by the computer system, a second request from a second user terminal of the plurality of user terminals, the second request dynamically generated based on a value of the data measure being displayed by the second user terminal to a second user, the second request comprising the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, the second request configured to identify discussion objects associated with the coordinates; determining, by the computer system, an existence of discussion objects that are associated with the coordinates received in the second request; retrieving, by the computer system, the discussion object from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the discussion object for display by the second user terminal in association with the value of the data measure; transmitting, by the computer system, to the second user terminal the discussion object in response to a third request for the discussion object from the second user terminal; updating, by the computer system, the discussion object stored in the electronic data storage with a second entry by the second user based on a fourth request to update the discussion object from the second user terminal; determining, by the computer system, an existence of task objects that are associated with the coordinates received in the second request; retrieving, by the computer system, one or more task objects from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the one or more task objects for display by the second user terminal in association with the value of the data measure, the one or more task objects associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; and transmitting, by the computer system, to the second user terminal a task information indication for display by the second user terminal in association with the value of the data measure, the task information indication comprising a name of a task manager assigned to the one or more task objects, the task information indication comprising a target value, the target value being a percentage difference between the value of the data measure and a desired value of the data measure, the task information indication associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, wherein the computer system comprises a computer processor and electronic memory. | 1. A computer-implemented method for facilitating collaboration between users of a plurality of user terminals around a data measure mapped to a multi-dimensional data model, the computer-implemented method comprising: electronically processing, by a computer system, a first request from a first user terminal of a plurality of user terminals to associate a discussion object with a data measure mapped to a multi-dimensional data model, the discussion object including a first entry by a first user and enabling users of the plurality of user terminals to communicate based on the data measure, the multi-dimensional data model configured for access by online analytical processing (OLAP) applications; determining, by the computer system, coordinates of a plurality of data dimensions of the multi-dimensional data model that uniquely identify to the data measure; storing, by the computer system, in an electronic data storage the discussion object in association with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; receiving, by the computer system, a second request from a second user terminal of the plurality of user terminals, the second request dynamically generated based on a value of the data measure being displayed by the second user terminal to a second user, the second request comprising the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, the second request configured to identify discussion objects associated with the coordinates; determining, by the computer system, an existence of discussion objects that are associated with the coordinates received in the second request; retrieving, by the computer system, the discussion object from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the discussion object for display by the second user terminal in association with the value of the data measure; transmitting, by the computer system, to the second user terminal the discussion object in response to a third request for the discussion object from the second user terminal; updating, by the computer system, the discussion object stored in the electronic data storage with a second entry by the second user based on a fourth request to update the discussion object from the second user terminal; determining, by the computer system, an existence of task objects that are associated with the coordinates received in the second request; retrieving, by the computer system, one or more task objects from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the one or more task objects for display by the second user terminal in association with the value of the data measure, the one or more task objects associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; and transmitting, by the computer system, to the second user terminal a task information indication for display by the second user terminal in association with the value of the data measure, the task information indication comprising a name of a task manager assigned to the one or more task objects, the task information indication comprising a target value, the target value being a percentage difference between the value of the data measure and a desired value of the data measure, the task information indication associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, wherein the computer system comprises a computer processor and electronic memory. 8. The method of claim 1 , wherein said transmitting to the second user terminal the indication comprises transmitting to the second user terminal the indication of the discussion object to cause the second user terminal to display, on a user interface displayed on a display, the indication of the discussion object in juxtaposition with the value of the data measure. | 0.674028 |
8,854,635 | 3 | 4 | 3. The document processing device according to claim 1 , wherein the features of each of said character strings derived by said format creating part include a positional condition indicating a range of the character string from a reference position in a document. | 3. The document processing device according to claim 1 , wherein the features of each of said character strings derived by said format creating part include a positional condition indicating a range of the character string from a reference position in a document. 4. The document processing device according to claim 3 , wherein said format correcting part receives an operation to correct a positional condition indicating a range from a reference position in a document displayed on said display part, and corrects information contained in the format based on said operation, and said character string extracting part extracts the character strings again to conform to said information in the format corrected by said format correcting part. | 0.5 |
9,183,194 | 1 | 9 | 1. A method comprising: identifying a first term in a document structure instance that matches a first permissible term in a glossary; identifying a second term in the document structure instance that matches a second permissible term in the glossary; determining whether the document structure instance establishes an interaction between the first term and the second term; and generating, with a processor, a relationship map comprising: a first object that represents the first term; a second object that represents the second term; and an interaction object that represents whether the instance establishes the interaction between the first term and the second term from the same document structure instance. | 1. A method comprising: identifying a first term in a document structure instance that matches a first permissible term in a glossary; identifying a second term in the document structure instance that matches a second permissible term in the glossary; determining whether the document structure instance establishes an interaction between the first term and the second term; and generating, with a processor, a relationship map comprising: a first object that represents the first term; a second object that represents the second term; and an interaction object that represents whether the instance establishes the interaction between the first term and the second term from the same document structure instance. 9. The method of claim 1 , further comprising: identifying a document type of the document structure instance, the document type including structure categories; and where the glossary includes permissible terms for a selected structure category from the structure categories of the document type. | 0.54321 |
9,514,156 | 1 | 2 | 1. A system comprising: a topic extractor configured to: select a document that is pertinent to a topic based on searching, using a key phrase, a plurality of documents, identify an identifier of a party to a transaction being referenced in the document, the identifier of the party to the transaction being associated with the topic, and identify the transaction conducted by the party to the transaction based on the document; and a sentiment analyzer configured to: determine a rating of the transaction conducted by the party to the transaction based on the document, a determining of the rating of the transaction conducted by the party to the transaction including identifying, from a plurality of polarity words included in the document, a dominant polarity word based on a syntactic distance between the dominant polarity word and the topic in a syntactic tree, the dominant polarity word having a dominant polarity impact on the rating of the transaction conducted by the party to the transaction, and determine, using at least one processor, a sentiment of the document based on the transaction conducted by the party to the transaction associated with the topic, and the rating of the transaction conducted by the party to the transaction associated with the topic. | 1. A system comprising: a topic extractor configured to: select a document that is pertinent to a topic based on searching, using a key phrase, a plurality of documents, identify an identifier of a party to a transaction being referenced in the document, the identifier of the party to the transaction being associated with the topic, and identify the transaction conducted by the party to the transaction based on the document; and a sentiment analyzer configured to: determine a rating of the transaction conducted by the party to the transaction based on the document, a determining of the rating of the transaction conducted by the party to the transaction including identifying, from a plurality of polarity words included in the document, a dominant polarity word based on a syntactic distance between the dominant polarity word and the topic in a syntactic tree, the dominant polarity word having a dominant polarity impact on the rating of the transaction conducted by the party to the transaction, and determine, using at least one processor, a sentiment of the document based on the transaction conducted by the party to the transaction associated with the topic, and the rating of the transaction conducted by the party to the transaction associated with the topic. 2. The system of claim 1 , wherein the document is a comment submitted to a community forum for publication on the community forum. | 0.884683 |
7,475,007 | 1 | 15 | 1. An expression extraction device for extracting evaluation expressions from text having descriptions on evaluations of a specific evaluation target, each evaluation expression being an expression indicating the evaluation of the evaluation target, the expression extraction device comprising: a registered expression storage unit: registering an evaluation expression as a registered expression, associating a predetermined polarity with said registered expression, wherein a positive polarity represents a positive evaluation and a negative polarity represents a negative evaluation, said predetermined polarity being determined independent of a context or of technical terms of said evaluation expression; an expression extraction unit: extracting multiple evaluation expressions and a conjunction expression from the text, said coniunction expression, indicating a conjunctive relation between the evaluation expressions; a registered expression detection unit: receiving said multiple evaluation expressions and said conjunction expression; detecting from the received multiple evaluation expressions, an evaluation expression including the registered expression registered with the registered expression storage unit; associating the predetermined polarity of said registered expression with said evaluation expression including said registered expression; a polarity judgment unit: receiving said multiple evaluation expressions, said conjunction expression, and associated predetermined polarity; judging at least one of said multiple evaluation expressions, which is in conjunction with the evaluation expression including the registered expression by means of the conjunction expression in a form of ordinary conjunction, as being of the same polarity as the registered expression; and judging a series of evaluation expressions, which are not in conjunction with the evaluation expression including the registered expression by means of the conjunction expression in any form of the ordinary conjunction and adversative/concessive conjunction and also are not in conjunction with each other by the conjunction expression in any form of the ordinary conjunction and the adversative/concessive conjunction, as being of the same polarity as the registered expression, wherein evaluation expressions appearing in multiple positions in the text are individually judged to determine the polarities of the evaluation expression in their respective positions; a registered expression addition unit: adding the evaluation expression having the polarity judged by the polarity judgment unit to the registered expression storage unit as a newly registered expression; and an evaluation display unit for displaying an evaluation of the evaluation expression based on the polarities of the multiple evaluation expressions. | 1. An expression extraction device for extracting evaluation expressions from text having descriptions on evaluations of a specific evaluation target, each evaluation expression being an expression indicating the evaluation of the evaluation target, the expression extraction device comprising: a registered expression storage unit: registering an evaluation expression as a registered expression, associating a predetermined polarity with said registered expression, wherein a positive polarity represents a positive evaluation and a negative polarity represents a negative evaluation, said predetermined polarity being determined independent of a context or of technical terms of said evaluation expression; an expression extraction unit: extracting multiple evaluation expressions and a conjunction expression from the text, said coniunction expression, indicating a conjunctive relation between the evaluation expressions; a registered expression detection unit: receiving said multiple evaluation expressions and said conjunction expression; detecting from the received multiple evaluation expressions, an evaluation expression including the registered expression registered with the registered expression storage unit; associating the predetermined polarity of said registered expression with said evaluation expression including said registered expression; a polarity judgment unit: receiving said multiple evaluation expressions, said conjunction expression, and associated predetermined polarity; judging at least one of said multiple evaluation expressions, which is in conjunction with the evaluation expression including the registered expression by means of the conjunction expression in a form of ordinary conjunction, as being of the same polarity as the registered expression; and judging a series of evaluation expressions, which are not in conjunction with the evaluation expression including the registered expression by means of the conjunction expression in any form of the ordinary conjunction and adversative/concessive conjunction and also are not in conjunction with each other by the conjunction expression in any form of the ordinary conjunction and the adversative/concessive conjunction, as being of the same polarity as the registered expression, wherein evaluation expressions appearing in multiple positions in the text are individually judged to determine the polarities of the evaluation expression in their respective positions; a registered expression addition unit: adding the evaluation expression having the polarity judged by the polarity judgment unit to the registered expression storage unit as a newly registered expression; and an evaluation display unit for displaying an evaluation of the evaluation expression based on the polarities of the multiple evaluation expressions. 15. The expression extraction device according to claim 1 , further comprising: a certainty storage unit for prestoring a certainty indicating a degree that the conjunction expression is the conjunction expression in any form of the ordinary conjunction or the adversative/concessive conjunction in terms of a type of the conjunction expression, wherein the polarity judgment unit further judges certainties of polarities of the evaluation expression in conjunction with the evaluation expression including the registered expression by means of the conjunction expression in any form of the ordinary conjunction, and of a series of the evaluation expressions, which are not in conjunction with the evaluation expression by means of the conjunction expression in any form of the ordinary conjunction and the adversative/concessive conjunction and are not in conjunction with each other by means of the conjunction expression in any form of the ordinary conjunction and the adversative/concessive conjunction, depending on the certainty of the ordinary conjunction expression, and the expression extraction device further comprises a polarity determination unit for determining a polarity of one of the evaluation expressions appearing in multiple positions in the text based on certainties of polarities in the respective positions. | 0.5 |
8,972,269 | 12 | 19 | 12. A computer-implemented method comprising: providing, by a processor, an interface displaying at least a portion of a transcript, the interface configured to receive a command selecting one of a plurality of words of the transcript and a desired edit from a plurality of permitted edits to the transcript, wherein the command is restricted to selection of a single word, wherein the plurality of permitted edits is restricted to prevent edits to a plurality of time index markers associated with the transcript; receiving, by the processor, data via the interface selecting a word from the transcript and the desired edit; and editing, by the processor, the transcript in response to receiving the selection and the desired edit, wherein editing the transcript comprises editing only data relating to one or more of the word selected by the received selection and a word adjacent to the selected word. | 12. A computer-implemented method comprising: providing, by a processor, an interface displaying at least a portion of a transcript, the interface configured to receive a command selecting one of a plurality of words of the transcript and a desired edit from a plurality of permitted edits to the transcript, wherein the command is restricted to selection of a single word, wherein the plurality of permitted edits is restricted to prevent edits to a plurality of time index markers associated with the transcript; receiving, by the processor, data via the interface selecting a word from the transcript and the desired edit; and editing, by the processor, the transcript in response to receiving the selection and the desired edit, wherein editing the transcript comprises editing only data relating to one or more of the word selected by the received selection and a word adjacent to the selected word. 19. The method of claim 12 , further comprising: receiving data indicating an edit to insert a new word into the transcript between the selected word and the word adjacent to the selected word; determining a time difference between a first time index marker corresponding to the beginning of the selected word and a second time index marker corresponding to the beginning of the word adjacent to the selected word; determining a first duration of the selected word and a new duration of the new word; and in response to determining that the new duration is less than the sum of the first duration and the time difference, inserting the new word adjacent to the selected word. | 0.5 |
9,292,192 | 1 | 4 | 1. A method for an electronic device comprising: detecting a first touch input representing a selection of multiple rows of text displayed on a touch-sensitive display of the electronic device, wherein a start row or an end row of the selected text is not a complete row of selected text; detecting a second touch input representing a selection completing a row of text for the start row or the end row, wherein the selection of the second touch input completing the row of text comprises an expanded selection from the selection associated with the first touch input toward either a beginning of the start row of selected text or an end of the end row of selected text to select an entire row of the selected text for the start row or the end row; in response to a determination that the start row or the end row of the selected text is a complete row of selected text after receiving the second touch input, displaying a paragraph selection handle proximal to the complete row of the corresponding start row or end row of the selected text; detecting a third touch input related to the paragraph selection handle; and in response to detecting the third touch input, enabling a paragraph selection mode for the selection of one or more paragraphs for the electronic device. | 1. A method for an electronic device comprising: detecting a first touch input representing a selection of multiple rows of text displayed on a touch-sensitive display of the electronic device, wherein a start row or an end row of the selected text is not a complete row of selected text; detecting a second touch input representing a selection completing a row of text for the start row or the end row, wherein the selection of the second touch input completing the row of text comprises an expanded selection from the selection associated with the first touch input toward either a beginning of the start row of selected text or an end of the end row of selected text to select an entire row of the selected text for the start row or the end row; in response to a determination that the start row or the end row of the selected text is a complete row of selected text after receiving the second touch input, displaying a paragraph selection handle proximal to the complete row of the corresponding start row or end row of the selected text; detecting a third touch input related to the paragraph selection handle; and in response to detecting the third touch input, enabling a paragraph selection mode for the selection of one or more paragraphs for the electronic device. 4. A method according to claim 1 , further comprising detecting the third touch input which is operable to select and then drag the paragraph selection handle in one direction, thereby to highlight text to the start of a current paragraph displayed. | 0.5 |
9,704,478 | 6 | 15 | 6. The system of claim 1 , wherein the acoustic model is selected based on the acoustic model being trained to recognize subword units using audio data within the frequency band. | 6. The system of claim 1 , wherein the acoustic model is selected based on the acoustic model being trained to recognize subword units using audio data within the frequency band. 15. The computer-implemented method of claim 6 , further comprising selecting an acoustic model of a plurality of acoustic models based at least partly on the frequency band. | 0.5 |
8,275,362 | 17 | 18 | 17. The computer-implemented method of claim 16 , wherein exchanging the at least one of the ambiguous characters with the host includes: transmitting updates to the host upon receiving the subsequently received numbers, the transmitting occurring after detecting that user inactivity in entering the sequence of numbers exceeds a predetermined period of time. | 17. The computer-implemented method of claim 16 , wherein exchanging the at least one of the ambiguous characters with the host includes: transmitting updates to the host upon receiving the subsequently received numbers, the transmitting occurring after detecting that user inactivity in entering the sequence of numbers exceeds a predetermined period of time. 18. The computer-implemented method of claim 17 , further comprising: rendering word stems of potential results; presenting an interface that provides display and selection of likely word stems; and receiving a selection of a given word stem. | 0.5 |
8,331,655 | 1 | 13 | 1. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: an acquisition unit configured to acquire a plurality of data for learning in each of which whether or not the specific pattern is included is given; a learning unit configured to make the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the data for learning acquired by the acquisition unit; a selection unit configured to select a plurality of weak classifiers to be composited from the weak classifiers which have learned by the learning unit; a composition unit configured to composite the plurality of weak classifiers selected by the selection unit into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers; and an initialization unit configured to initialize a filter structure of the composite weak classifier after composition by superimposing filter structures of the selected plurality of weak classifiers. | 1. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: an acquisition unit configured to acquire a plurality of data for learning in each of which whether or not the specific pattern is included is given; a learning unit configured to make the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the data for learning acquired by the acquisition unit; a selection unit configured to select a plurality of weak classifiers to be composited from the weak classifiers which have learned by the learning unit; a composition unit configured to composite the plurality of weak classifiers selected by the selection unit into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers; and an initialization unit configured to initialize a filter structure of the composite weak classifier after composition by superimposing filter structures of the selected plurality of weak classifiers. 13. The apparatus according to claim 1 , wherein the initialization unit initializes the filter structure of the composite weak classifier by expressing, as vectors, filter structures of the plurality of weak classifiers to be composited selected by the selection unit, and executing processing of one of principal component analysis and independent component analysis of the vectors. | 0.600832 |
7,844,502 | 1 | 18 | 1. An automated shopping system in which a user places an order for at least one provider, a degree of matching between each order-provider pairing is computed, and a score is reported to at least the user and optionally to the at least one provider, the automated shopping system comprising: at least one processor to receive and process information including at least one of (a) user information from at least one user including information that specifies provider criteria and order information that specifies order criteria for that particular order, (b) provider information from at least one provider, and (c) third party information; at least one data storage device that communicates with the at least one processor, that includes at least one database, and that receives and stores the information in the at least one database; at least one virtual provider that is created by program code within the at least one processor by pairing provider information of a particular provider with order information of a particular order to create an informational pair and that is stored within the at least one database; a knowledge base that is stored in a data storage device which may be said at least one data storage device, and that contains information on which to base requests for information by the system; a scoring system that resides in program code within the at least one processor, that compares the provider information of a particular provider and the order information of a particular order within each respective informational pair in at least one step, and that determines a score reflecting a degree of matching for each respective informational pair; and a management system that resides in program code within the at least one processor, that tracks each virtual provider through multiple steps, and that sequences the multiple steps by specifying contents of each step of the multiple steps, the contents at least including instructions to at least one of (a) the user regarding the input of user information, (b) the provider regarding the input of provider information, and (c) third parties regarding the input of information. | 1. An automated shopping system in which a user places an order for at least one provider, a degree of matching between each order-provider pairing is computed, and a score is reported to at least the user and optionally to the at least one provider, the automated shopping system comprising: at least one processor to receive and process information including at least one of (a) user information from at least one user including information that specifies provider criteria and order information that specifies order criteria for that particular order, (b) provider information from at least one provider, and (c) third party information; at least one data storage device that communicates with the at least one processor, that includes at least one database, and that receives and stores the information in the at least one database; at least one virtual provider that is created by program code within the at least one processor by pairing provider information of a particular provider with order information of a particular order to create an informational pair and that is stored within the at least one database; a knowledge base that is stored in a data storage device which may be said at least one data storage device, and that contains information on which to base requests for information by the system; a scoring system that resides in program code within the at least one processor, that compares the provider information of a particular provider and the order information of a particular order within each respective informational pair in at least one step, and that determines a score reflecting a degree of matching for each respective informational pair; and a management system that resides in program code within the at least one processor, that tracks each virtual provider through multiple steps, and that sequences the multiple steps by specifying contents of each step of the multiple steps, the contents at least including instructions to at least one of (a) the user regarding the input of user information, (b) the provider regarding the input of provider information, and (c) third parties regarding the input of information. 18. The automated shopping system of claim 1 , wherein the management system further comprises a calendar subsystem that tracks personal schedule information including time and dates of at least one of the user, the at least one provider, third parties, and the system operator. | 0.696507 |
8,713,054 | 23 | 26 | 23. The method of claim 20 , wherein said electronic document security regimen further comprising at least one requirement for a final classification mark and wherein said overall document mark is established as said final classification mark where said at least one requirement is met, and where said overall document mark is established as an interim mark where said at least one requirement is not met. | 23. The method of claim 20 , wherein said electronic document security regimen further comprising at least one requirement for a final classification mark and wherein said overall document mark is established as said final classification mark where said at least one requirement is met, and where said overall document mark is established as an interim mark where said at least one requirement is not met. 26. The method of claim 23 , wherein said at least one requirement comprising all informational portions of said electronic document have a portion mark or a code indicating said portion mark is not required. | 0.5 |
8,527,671 | 16 | 22 | 16. A circuit comprising: a central processing unit; an interface for accessing a slave device, the interface comprising a transmit buffer for transmitting to the slave device, a first-in-first-out receive buffer for receiving from the slave device, and an underflow mechanism associated with the first-in-first out receive buffer; a data transfer engine coupled between the interface and the central processing unit; and a memory, coupled to the central processing unit, storing code arranged to be executed on the central processing unit to set up the data transfer engine to access the slave device by: based on said set-up, operating the data transfer engine to supply a read request word to a slot of the transmit buffer of the interface for transmission to the slave device, said slave device generating a corresponding response word related to said read request word and, after return of said corresponding response word to the first-in-first-out receive buffer of the interface, to free said slot of said transmit buffer to disable said first-in-first-out receive buffer from receiving any further data such that the last word therein is assured to be said response word; and use the underflow mechanism of said first-in-first-out receive buffer to determine the last word therein and hence determine said response word. | 16. A circuit comprising: a central processing unit; an interface for accessing a slave device, the interface comprising a transmit buffer for transmitting to the slave device, a first-in-first-out receive buffer for receiving from the slave device, and an underflow mechanism associated with the first-in-first out receive buffer; a data transfer engine coupled between the interface and the central processing unit; and a memory, coupled to the central processing unit, storing code arranged to be executed on the central processing unit to set up the data transfer engine to access the slave device by: based on said set-up, operating the data transfer engine to supply a read request word to a slot of the transmit buffer of the interface for transmission to the slave device, said slave device generating a corresponding response word related to said read request word and, after return of said corresponding response word to the first-in-first-out receive buffer of the interface, to free said slot of said transmit buffer to disable said first-in-first-out receive buffer from receiving any further data such that the last word therein is assured to be said response word; and use the underflow mechanism of said first-in-first-out receive buffer to determine the last word therein and hence determine said response word. 22. The circuit of claim 16 , wherein said underflow mechanism comprises a stall mechanism whereby a stall is generated when the first-in-first-out receive buffer contains fewer words than a lower stall threshold, and the determination of said last word comprises executing code on said central processing unit to read from the first-in-first-out receive buffer until empty, the central processing unit determining when the first-in-first-out receive buffer is empty by reference to said stall of the first-in-first-out receive buffer. | 0.805029 |
10,108,601 | 1 | 8 | 1. A computer-implemented method for presenting content personalized for a user comprising: analyzing and categorizing the content by a server computer using artificial intelligence and storing the categorized content on a memory of the server computer; capturing explicit preferences of a user comprising user content interests, preferred content type, preferred presentation type, preferred language, and preferred presentation format; storing the captured explicit preferences of the user on the memory of the server computer in an internal representation of the user's preferences; storing an internal representation of prior knowledge of the user; determining and storing a plurality of implicit preferences of the user; mapping the categorized content to the internal representation of the user's preferences and the internal representation of prior knowledge of the user to discover the content, relevant to user, by the server computer, from the categorized content; and processing the relevant content into the preferred presentation type and format at the server computer and presenting to the user on a user device; wherein at least one conflict between a conflicting explicit preference and a conflicting implicit preference is resolved by giving precedence to the conflicting explicit preference. | 1. A computer-implemented method for presenting content personalized for a user comprising: analyzing and categorizing the content by a server computer using artificial intelligence and storing the categorized content on a memory of the server computer; capturing explicit preferences of a user comprising user content interests, preferred content type, preferred presentation type, preferred language, and preferred presentation format; storing the captured explicit preferences of the user on the memory of the server computer in an internal representation of the user's preferences; storing an internal representation of prior knowledge of the user; determining and storing a plurality of implicit preferences of the user; mapping the categorized content to the internal representation of the user's preferences and the internal representation of prior knowledge of the user to discover the content, relevant to user, by the server computer, from the categorized content; and processing the relevant content into the preferred presentation type and format at the server computer and presenting to the user on a user device; wherein at least one conflict between a conflicting explicit preference and a conflicting implicit preference is resolved by giving precedence to the conflicting explicit preference. 8. The method according to claim 1 , further comprising: translating the relevant content into at least one user preferred language for presenting to the user on the user device. | 0.793503 |
9,946,751 | 37 | 40 | 37. A computer-implemented method of improving a query that is to be performed in the context of a tenant-specific filter on a tenant identifier, the method comprising: receiving at a network interface of a server an original query, wherein the original query is associated with data within a database as identified by the tenant identifier, and wherein the database includes at least a first index and a second index, further wherein the database stores data for multiple tenants that are unrelated organizations and have different database schemas, the data corresponding to each tenant having tenant-specific characteristics; retrieving metadata associated with the data accessible by the tenant in a multi-tenant database system, wherein at least a portion of the data accessible by the tenant is stored in a common table within the multi-tenant database system; scanning, using a processor of the server, a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scanning, using the processor, a second index column to identify a second set of rows, wherein the second index column is selected based on the original query; determining, using the processor, an intersection of the first set of rows and the second set of rows to identify a third set of rows; determining, using the processor, a tenant-selective query syntax by analyzing at least metadata generated from tenant-specific characteristics; analyzing, using the processor, metadata generated from information about the organization to which the original query corresponds; and generating, using the processor, an improved query using the query syntax, wherein the improved query is based at least in part upon the original query and a result of a join between a first number of rows associated with the first index and a second number of rows associated with the second index and the analysis of the metadata. | 37. A computer-implemented method of improving a query that is to be performed in the context of a tenant-specific filter on a tenant identifier, the method comprising: receiving at a network interface of a server an original query, wherein the original query is associated with data within a database as identified by the tenant identifier, and wherein the database includes at least a first index and a second index, further wherein the database stores data for multiple tenants that are unrelated organizations and have different database schemas, the data corresponding to each tenant having tenant-specific characteristics; retrieving metadata associated with the data accessible by the tenant in a multi-tenant database system, wherein at least a portion of the data accessible by the tenant is stored in a common table within the multi-tenant database system; scanning, using a processor of the server, a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scanning, using the processor, a second index column to identify a second set of rows, wherein the second index column is selected based on the original query; determining, using the processor, an intersection of the first set of rows and the second set of rows to identify a third set of rows; determining, using the processor, a tenant-selective query syntax by analyzing at least metadata generated from tenant-specific characteristics; analyzing, using the processor, metadata generated from information about the organization to which the original query corresponds; and generating, using the processor, an improved query using the query syntax, wherein the improved query is based at least in part upon the original query and a result of a join between a first number of rows associated with the first index and a second number of rows associated with the second index and the analysis of the metadata. 40. The method of claim 37 , wherein generating, using the processor, an improved query using the query syntax includes scanning the common table using the third set of rows. | 0.8 |
8,805,814 | 1 | 3 | 1. A computer system for searching databases and displaying search results, comprising: one or more databases storing information regarding publications, said information comprising author, title, date of publication, abstract, cited references, and citing references data; and one or more Internet servers in communication with said one or more databases; wherein at least one of said one or more Internet servers is in communication with and configured to transmit data to a Web browser application resident on a user's computer, and wherein said data is sufficient to enable said browser to display: (a) a search page that allows said user to input publication search parameters; and (b) a results page comprising: a tabular display of results that allows said user to sort results according to date, relevance, author, source title, and number of citations to each publication, wherein said display of results further comprises an indication of availability of a link allowing said user access to the full text for each respective result and a link to at least one aspect of the publication corresponding to said result, and a listing of subsets of said results, located on screen and separate from said display of results, wherein said listing of subsets comprises a source title subset, a author name subset, a year subset, a document type subset, and a subject area subset, wherein the number of results in each said subset is listed adjacent to each respective subset to allow for at-a-glance evaluation of said results, wherein said subsets are user selectable, and wherein said user may limit said results on said results page to said selected subsets and said user may exclude from said results on said results page said selected subsets; (c) a record page for providing further details of a result, said record page including a reference citing to said result. | 1. A computer system for searching databases and displaying search results, comprising: one or more databases storing information regarding publications, said information comprising author, title, date of publication, abstract, cited references, and citing references data; and one or more Internet servers in communication with said one or more databases; wherein at least one of said one or more Internet servers is in communication with and configured to transmit data to a Web browser application resident on a user's computer, and wherein said data is sufficient to enable said browser to display: (a) a search page that allows said user to input publication search parameters; and (b) a results page comprising: a tabular display of results that allows said user to sort results according to date, relevance, author, source title, and number of citations to each publication, wherein said display of results further comprises an indication of availability of a link allowing said user access to the full text for each respective result and a link to at least one aspect of the publication corresponding to said result, and a listing of subsets of said results, located on screen and separate from said display of results, wherein said listing of subsets comprises a source title subset, a author name subset, a year subset, a document type subset, and a subject area subset, wherein the number of results in each said subset is listed adjacent to each respective subset to allow for at-a-glance evaluation of said results, wherein said subsets are user selectable, and wherein said user may limit said results on said results page to said selected subsets and said user may exclude from said results on said results page said selected subsets; (c) a record page for providing further details of a result, said record page including a reference citing to said result. 3. The computer system of claim 1 , wherein, for at least one publication, said aspect comprises an abstract display of said publication. | 0.797337 |
7,979,376 | 9 | 12 | 9. A method for automatically adding process nodes to print production workflows by inferring knowledge from asset metadata tags and using said knowledge during process network generation, comprising: providing a print product description; extracting asset metadata from a plurality of resources associated with said print product description; processing said asset metadata through an automated reasoning system to infer predefined characteristics from said asset metadata to form inferred metadata; and utilizing said inferred metadata to add and parameterize a process node to a process network. | 9. A method for automatically adding process nodes to print production workflows by inferring knowledge from asset metadata tags and using said knowledge during process network generation, comprising: providing a print product description; extracting asset metadata from a plurality of resources associated with said print product description; processing said asset metadata through an automated reasoning system to infer predefined characteristics from said asset metadata to form inferred metadata; and utilizing said inferred metadata to add and parameterize a process node to a process network. 12. The method of claim 9 wherein said automated reasoning system further comprises ontology-based reasoning. | 0.69209 |
7,685,150 | 14 | 15 | 14. The method of claim 1 , wherein the expression that operates on the XML construct is an XMLTable virtual table construct. | 14. The method of claim 1 , wherein the expression that operates on the XML construct is an XMLTable virtual table construct. 15. A volatile or non-volatile machine-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 14 . | 0.5 |
7,577,902 | 8 | 9 | 8. The method of claim 1 , wherein the first layer represents the geometry of the three-dimensional page, the geometry of the three-dimensional page having a polygon mesh, the polygon mesh having vertices and edges connecting the vertices. | 8. The method of claim 1 , wherein the first layer represents the geometry of the three-dimensional page, the geometry of the three-dimensional page having a polygon mesh, the polygon mesh having vertices and edges connecting the vertices. 9. The method of claim 8 , wherein each of the vertices includes a texture coordinate in a texture coordinate system of the three-dimensional page. | 0.5 |
8,176,049 | 22 | 26 | 22. Logic encoded in one or more tangible media that includes code for execution and when executed by a processor operable to perform operations comprising: receiving an object in a network environment; receiving a search query that includes a first regular expression, wherein the first regular expression comprises a string according to one or more syntax rules; mapping the first regular expression to a first attribute, wherein the first attribute is included amongst a plurality of attributes provided in an attribute map, and wherein the plurality of attributes each represent respective regular expressions; and parsing only the regular expressions related to attributes that have not been found in the object, wherein if a parsing activity identifies a match for the first regular expression in the object, then other regular expressions that contain the first attribute are not searched for the search query. | 22. Logic encoded in one or more tangible media that includes code for execution and when executed by a processor operable to perform operations comprising: receiving an object in a network environment; receiving a search query that includes a first regular expression, wherein the first regular expression comprises a string according to one or more syntax rules; mapping the first regular expression to a first attribute, wherein the first attribute is included amongst a plurality of attributes provided in an attribute map, and wherein the plurality of attributes each represent respective regular expressions; and parsing only the regular expressions related to attributes that have not been found in the object, wherein if a parsing activity identifies a match for the first regular expression in the object, then other regular expressions that contain the first attribute are not searched for the search query. 26. The logic of claim 22 , wherein the object is a Word document, an e-mail, a spreadsheet, or a PDF having text that can represent a pattern expressed as the first regular expression. | 0.726331 |
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