patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
1
|
|---|---|---|---|---|---|
8,065,388 | 1 | 6 | 1. A method of delivering directions to a mobile device, the method comprising: communicating with the mobile device over a communications network; in response to a request from the mobile device for directions, determining a list of turn-by-turn directions to a location based on content relating to the location to be transmitted to the mobile device; determining an optimization constraint associated with at least one of the mobile device and the request; determining optional selectable content to include with the directions to be transmitted to the mobile device based on at least the optimization constraint; and transmitting the list of turn-by-turn directions to the mobile device. | 1. A method of delivering directions to a mobile device, the method comprising: communicating with the mobile device over a communications network; in response to a request from the mobile device for directions, determining a list of turn-by-turn directions to a location based on content relating to the location to be transmitted to the mobile device; determining an optimization constraint associated with at least one of the mobile device and the request; determining optional selectable content to include with the directions to be transmitted to the mobile device based on at least the optimization constraint; and transmitting the list of turn-by-turn directions to the mobile device. 6. A method as in claim 1 wherein the directions include a detailed text description of the directions. | 0.850725 |
5,425,642 | 7 | 12 | 7. A method of spelling out a word before an audience, comprising the steps of: soliciting an audience to communicate a plurality of words germane to a common topic; displaying at least one string of letters each of said letters being found in a respective one of said words; arranging the letters relative to each other during the step of displaying so that a different word may be spelled out with the letters as arranged, the different word being germane to the common topic; and spelling out the different word with those letters as arranged. | 7. A method of spelling out a word before an audience, comprising the steps of: soliciting an audience to communicate a plurality of words germane to a common topic; displaying at least one string of letters each of said letters being found in a respective one of said words; arranging the letters relative to each other during the step of displaying so that a different word may be spelled out with the letters as arranged, the different word being germane to the common topic; and spelling out the different word with those letters as arranged. 12. A method as in claim 7, further comprising the step of filling in additional letters where appropriate to complete a spelling of the different word. | 0.751634 |
9,418,218 | 8 | 14 | 8. An apparatus comprising: one or more processors; and a memory including instructions executable by the one or more processor to configure a web browser to: access a web page from a web server; parse the web page into a document object model (DOM); cause rendering of the DOM on a display as a rendered web page; use a browser extension to listen for one or more user action DOM events derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server; in response to the browser extension detecting a user action DOM event derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server, add information about the user action DOM event to a configurable element within the DOM; receive a request for an audit trail from a server; and return the information about the user action DOM event in the configurable element within the DOM to the server in response to the receiving of the request for an audit trail. | 8. An apparatus comprising: one or more processors; and a memory including instructions executable by the one or more processor to configure a web browser to: access a web page from a web server; parse the web page into a document object model (DOM); cause rendering of the DOM on a display as a rendered web page; use a browser extension to listen for one or more user action DOM events derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server; in response to the browser extension detecting a user action DOM event derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server, add information about the user action DOM event to a configurable element within the DOM; receive a request for an audit trail from a server; and return the information about the user action DOM event in the configurable element within the DOM to the server in response to the receiving of the request for an audit trail. 14. The apparatus of claim 8 , wherein the user action DOM event causes a modification to the DOM prior to the information about the user action DOM event being stored in the configurable element of the DOM. | 0.615242 |
8,156,131 | 16 | 20 | 16. A computer readable storage medium storing instructions executing on a processor of a computer system, the instructions comprising functionality for providing a data context service by: extracting context information from a host application associated with an oilfield project for analyzing an oilfield operation of an oilfield, the context information comprising a current state of analyzing the oilfield operation in the host application; sorting the context information into a plurality of dimensions of relevance, wherein the plurality of dimensions of relevance comprise a profile context relating to a first identity of the oilfield project, an object context relating to a second identity of an oilfield object in the oilfield, and an analog context relating to a characteristic of oilfield data used in the host application; generating a plurality of search profiles for each dimension of relevance, wherein the plurality of search profiles comprises a first search profile adapted to evaluate a first relevance measure with respect to the first identity of the oilfield project, a second search profile adapted to evaluate a second relevance measure with respect to the second identity of the oilfield object, and a third search profile adapted to evaluate a third relevance measure with respect to the characteristic of oilfield data used in the host application; automatically requesting a first plurality of searches using at least the plurality of search profiles; receiving a plurality of oilfield data items resulting from the first plurality of searches based on the first relevance measure, the second relevance measure, and the third relevance measure; obtaining a quality measure of an oilfield data item of the plurality of oilfield data items based on a pre-determined quality criterion; sending the oilfield data item as a search result to the host application after determining that the quality measure exceeds a pre-determined threshold; and storing the output, the output being used to perform the oilfield operation. | 16. A computer readable storage medium storing instructions executing on a processor of a computer system, the instructions comprising functionality for providing a data context service by: extracting context information from a host application associated with an oilfield project for analyzing an oilfield operation of an oilfield, the context information comprising a current state of analyzing the oilfield operation in the host application; sorting the context information into a plurality of dimensions of relevance, wherein the plurality of dimensions of relevance comprise a profile context relating to a first identity of the oilfield project, an object context relating to a second identity of an oilfield object in the oilfield, and an analog context relating to a characteristic of oilfield data used in the host application; generating a plurality of search profiles for each dimension of relevance, wherein the plurality of search profiles comprises a first search profile adapted to evaluate a first relevance measure with respect to the first identity of the oilfield project, a second search profile adapted to evaluate a second relevance measure with respect to the second identity of the oilfield object, and a third search profile adapted to evaluate a third relevance measure with respect to the characteristic of oilfield data used in the host application; automatically requesting a first plurality of searches using at least the plurality of search profiles; receiving a plurality of oilfield data items resulting from the first plurality of searches based on the first relevance measure, the second relevance measure, and the third relevance measure; obtaining a quality measure of an oilfield data item of the plurality of oilfield data items based on a pre-determined quality criterion; sending the oilfield data item as a search result to the host application after determining that the quality measure exceeds a pre-determined threshold; and storing the output, the output being used to perform the oilfield operation. 20. The computer readable storage medium of claim 16 , wherein the quality measure is obtained from a third party data quality engine, and wherein the pre-determined quality criterion is selected by the user from a plurality of quality criteria of the third party quality engine. | 0.827778 |
8,990,065 | 1 | 4 | 1. A method of presenting summaries of stories respectively associated with at least one message on a computer having a processor, the method comprising: executing on the processor instructions configured to: for respective messages, identify at least one entity involved in the message; cluster the messages according to the at least one entity identified in the respective messages to identify, for a story, a message cluster comprising at least two messages that individually present the story; using the messages of the message cluster, identify at least one expression that frequently appears in the messages of the message cluster; identify at least two opinions about the story that are respectively expressed by at least one message of the message cluster; from the at least one expression of the messages, extract at least one fact of the story; and responsive to receiving from a user a request to present messages about the story: identify a perspective of the user; using the at least one fact of the story described in messages expressing an opinion about the story that matches the perspective of the user, generate a summary of the story; and present the summary to the user. | 1. A method of presenting summaries of stories respectively associated with at least one message on a computer having a processor, the method comprising: executing on the processor instructions configured to: for respective messages, identify at least one entity involved in the message; cluster the messages according to the at least one entity identified in the respective messages to identify, for a story, a message cluster comprising at least two messages that individually present the story; using the messages of the message cluster, identify at least one expression that frequently appears in the messages of the message cluster; identify at least two opinions about the story that are respectively expressed by at least one message of the message cluster; from the at least one expression of the messages, extract at least one fact of the story; and responsive to receiving from a user a request to present messages about the story: identify a perspective of the user; using the at least one fact of the story described in messages expressing an opinion about the story that matches the perspective of the user, generate a summary of the story; and present the summary to the user. 4. The method of claim 1 , the instructions further configured to, for respective messages, identify a language of the message. | 0.872745 |
7,688,967 | 2 | 3 | 2. A method as claimed in claim 1 , in which the electronic message is an electronic mail message and determining the at least one telephone number includes parsing text in the body of the mail message to determine a telephone number, if present, which has been written into the body of the message. | 2. A method as claimed in claim 1 , in which the electronic message is an electronic mail message and determining the at least one telephone number includes parsing text in the body of the mail message to determine a telephone number, if present, which has been written into the body of the message. 3. A method as claimed in claim 2 , wherein the determining the at least one telephone number includes using an automatic number identification (ANI) service. | 0.909091 |
10,127,225 | 5 | 8 | 5. The method as set forth in claim 1 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts, and wherein the method further comprises: aggregating, by a computer, a plurality of user ratings from the same user across the different electronic texts; cross-referencing, by a computer, one or more elements across the different electronic texts to infer commonalities and distinctions; and inferring, by a computer, one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the different electronic texts with a likely user rating. | 5. The method as set forth in claim 1 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts, and wherein the method further comprises: aggregating, by a computer, a plurality of user ratings from the same user across the different electronic texts; cross-referencing, by a computer, one or more elements across the different electronic texts to infer commonalities and distinctions; and inferring, by a computer, one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the different electronic texts with a likely user rating. 8. The method as set forth in claim 5 wherein the designating comprises dissuading against a different electronic text that the user is unlikely to prefer. | 0.961443 |
9,633,365 | 17 | 22 | 17. A computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving data indicating that a first user performed a conversion action in response to a first ad, wherein the received data includes an ad ID for the first ad and a first limited ID cookie that only identifies an encrypted user ID for the first user; decrypting the first limited ID cookie to obtain the user ID of the first user; creating a conversion record that includes the user ID for the first user an entity ID for an entity associated with the first ad, and the conversion action performed by the first user; receiving an ad request over a network from a client device of a second user, the ad request including a second limited ID cookie that only identifies an encrypted user ID for the second user; decrypting the second limited ID cookie to obtain the user ID of the second user; determining that the second user is a social contact of the first user in a social network based on the user ID of the second user and the user ID of the first user; in response to receiving the ad request, selecting a second ad with an ad ID; determining, based on the ad ID of the second ad, that the second ad is associated with a same entity as the first ad that is associated with the conversion action performed by the first user; retrieving conversion records containing the entity ID for the same entity, wherein the retrieved conversion records include at least the created conversion record; constructing a detailed annotation for display in the second ad based on the created conversion record that contains the user ID for the first user, wherein the detailed annotation identifies (i) the user ID of the first user, (ii) the conversion action performed by the first user, and (iii) the same entity; and sending the detailed annotation over the network to the client device in a format suitable for presentation on a display of the client device in conjunction with the selected ad. | 17. A computer-readable storage medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving data indicating that a first user performed a conversion action in response to a first ad, wherein the received data includes an ad ID for the first ad and a first limited ID cookie that only identifies an encrypted user ID for the first user; decrypting the first limited ID cookie to obtain the user ID of the first user; creating a conversion record that includes the user ID for the first user an entity ID for an entity associated with the first ad, and the conversion action performed by the first user; receiving an ad request over a network from a client device of a second user, the ad request including a second limited ID cookie that only identifies an encrypted user ID for the second user; decrypting the second limited ID cookie to obtain the user ID of the second user; determining that the second user is a social contact of the first user in a social network based on the user ID of the second user and the user ID of the first user; in response to receiving the ad request, selecting a second ad with an ad ID; determining, based on the ad ID of the second ad, that the second ad is associated with a same entity as the first ad that is associated with the conversion action performed by the first user; retrieving conversion records containing the entity ID for the same entity, wherein the retrieved conversion records include at least the created conversion record; constructing a detailed annotation for display in the second ad based on the created conversion record that contains the user ID for the first user, wherein the detailed annotation identifies (i) the user ID of the first user, (ii) the conversion action performed by the first user, and (iii) the same entity; and sending the detailed annotation over the network to the client device in a format suitable for presentation on a display of the client device in conjunction with the selected ad. 22. The computer-readable storage medium of claim 17 , the computer program further comprising instructions that, when executed, operate to cause the computer to perform further operations comprising: boosting an ad score of the ad for which the first user performed the conversion action. | 0.733886 |
9,720,904 | 1 | 3 | 1. A method for generating training data for disambiguation of an entity comprising a word or word string related to a topic to be analyzed, the method comprising: communicating, by a processor, with a message server via an application programming interface of the message server; acquiring, in real-time, by the processor, from the message server, a plurality of electronic messages each including at least one entity from a set of entities related to the topic to be analyzed; identifying, by the processor, a user that sent each of the electronic messages based on metadata of the respective electronic messages and associating the electronic messages with respective sets from a plurality of sets of messages, each of the sets containing electronic messages sent by a respective user; identifying, by the processor, from the sets of messages, a set of messages that includes a number of entities greater than or equal to a first threshold value, the first threshold value being a positive integer greater than one in number, and identifying the user corresponding to the identified set of messages as a hot user; receiving, by the processor, an instruction indicating an object entity to be disambiguated, the object entity being an entity from the set of entities, and disambiguating the object entity comprises identifying a use of the object entity in association with the topic to be analyzed; determining, by the processor, a likelihood of co-occurrence of a keyword and the object entity in a single electronic message from the set of messages sent by the hot user, the keyword being one of a plurality of terms included in the electronic message that is sent by the hot user and that includes the object entity; and generating, by the processor, training data for the object entity on the basis of the likelihood of co-occurrence of the keyword and the object entity in a single electronic message sent by the hot user, wherein the training data identifies that co-occurrence of the keyword and the object entity in a single electronic message is indicative of a use of the object entity in relation to the topic to be analyzed. | 1. A method for generating training data for disambiguation of an entity comprising a word or word string related to a topic to be analyzed, the method comprising: communicating, by a processor, with a message server via an application programming interface of the message server; acquiring, in real-time, by the processor, from the message server, a plurality of electronic messages each including at least one entity from a set of entities related to the topic to be analyzed; identifying, by the processor, a user that sent each of the electronic messages based on metadata of the respective electronic messages and associating the electronic messages with respective sets from a plurality of sets of messages, each of the sets containing electronic messages sent by a respective user; identifying, by the processor, from the sets of messages, a set of messages that includes a number of entities greater than or equal to a first threshold value, the first threshold value being a positive integer greater than one in number, and identifying the user corresponding to the identified set of messages as a hot user; receiving, by the processor, an instruction indicating an object entity to be disambiguated, the object entity being an entity from the set of entities, and disambiguating the object entity comprises identifying a use of the object entity in association with the topic to be analyzed; determining, by the processor, a likelihood of co-occurrence of a keyword and the object entity in a single electronic message from the set of messages sent by the hot user, the keyword being one of a plurality of terms included in the electronic message that is sent by the hot user and that includes the object entity; and generating, by the processor, training data for the object entity on the basis of the likelihood of co-occurrence of the keyword and the object entity in a single electronic message sent by the hot user, wherein the training data identifies that co-occurrence of the keyword and the object entity in a single electronic message is indicative of a use of the object entity in relation to the topic to be analyzed. 3. The method of claim 1 , wherein the method further comprises computing a score indicating a likelihood of co-occurrence of each keyword and the object entity in the sets of messages sent by the hot users, pointwise mutual information about an event where a user who mentioned the object entity also mentioned the keyword and an event where a user who mentioned the object entity is a hot user. | 0.75495 |
9,183,250 | 9 | 11 | 9. The method as recited in claim 1 , further comprising providing the plurality of different categories corresponding to the search results selected most often associated with the search term to the user. | 9. The method as recited in claim 1 , further comprising providing the plurality of different categories corresponding to the search results selected most often associated with the search term to the user. 11. The method as recited in claim 9 , wherein providing the plurality of different categories corresponding to the search results selected most often associated with the search term to the user comprises providing a plurality of canonical forms of the query. | 0.915026 |
9,633,013 | 1 | 11 | 1. A computer-implemented method comprising: receiving a sequence of symbols that have been optically captured from a rendered document; determining that the sequence of symbols includes a particular symbol, word, or phrase that has been mapped to one or more actions; selecting an action from the one or more actions; and transmitting an instruction to a document management system to perform the selected action. | 1. A computer-implemented method comprising: receiving a sequence of symbols that have been optically captured from a rendered document; determining that the sequence of symbols includes a particular symbol, word, or phrase that has been mapped to one or more actions; selecting an action from the one or more actions; and transmitting an instruction to a document management system to perform the selected action. 11. The computer-implemented method of claim 1 , further comprising: presenting a menu of the one or more actions; and receiving a user selection of one of the one or more actions; wherein selecting the action from the one or more actions is based on the user selection. | 0.763573 |
8,615,527 | 2 | 4 | 2. The method of claim 1 , wherein identifying the limited subset of fields comprises extracting, from the monitored queries, a list of one or more referenced fields. | 2. The method of claim 1 , wherein identifying the limited subset of fields comprises extracting, from the monitored queries, a list of one or more referenced fields. 4. The method of claim 2 , further comprising determining, based on the monitored queries, whether one or more of the referenced fields is returned as query results. | 0.921578 |
4,553,657 | 4 | 5 | 4. In the token system of claim 3, said valid token removing means and said counterfeit token removing means comprising a slide made of a nonmagnetically responsive material, said slide being slidably mounted in said body and communicating along one side thereof with said upper and lower stations. | 4. In the token system of claim 3, said valid token removing means and said counterfeit token removing means comprising a slide made of a nonmagnetically responsive material, said slide being slidably mounted in said body and communicating along one side thereof with said upper and lower stations. 5. In the token system of claim 4, said first magnetic means being mounted on said slide. | 0.973606 |
8,515,811 | 1 | 14 | 1. A method comprising: providing an online advertisement linked to content; obtaining a macro-context vector specifying classification of the content within a domain corresponding to a semantic space; obtaining a personalization vector quantifying the affinity of at least one aspect of a user for a plurality of domains; selecting, by the user, the online advertisement; and multiplying, by a processing element, the personalization vector and the macro-context vector to obtain a match value quantifying the similarity between the personalization vector and the macro-context vector. | 1. A method comprising: providing an online advertisement linked to content; obtaining a macro-context vector specifying classification of the content within a domain corresponding to a semantic space; obtaining a personalization vector quantifying the affinity of at least one aspect of a user for a plurality of domains; selecting, by the user, the online advertisement; and multiplying, by a processing element, the personalization vector and the macro-context vector to obtain a match value quantifying the similarity between the personalization vector and the macro-context vector. 14. The method of claim 1 , wherein calculating a match value comprises multiplying together the macro-context vector and the personalization vector using one of a dot product and a weighted dot product. | 0.645105 |
8,164,762 | 14 | 17 | 14. A digital document system apparatus comprising one or more processor readable storage devices having processor readable code on said processor readable storage devices, said processor readable code for programming one or more processor to perform a method for text driven document sizing for a plurality of differently-sized documents in a rendering device, comprising: automatically detecting document sizes for said plurality of differently-sized documents by pre-scanning all sides of said plurality of differently-sized documents to determine said minimum output document sizes needed to accommodate all sides of said plurality of differently-sized documents, wherein reproduced output document sizes of said plurality of differently-sized documents are larger sides of said plurality of differently-sized documents; automatically detecting minimum text sizes of text contained in said plurality of differently-sized documents; recording said minimum text sizes of said text contained in said plurality of differently-sized documents; detecting output document sizes available to said rendering device in response to automatically detecting said minimum text sizes of said text contained in said plurality of differently-sized documents and specifying a particular said minimum set text sizes; utilizing said detected said minimum text sizes and said particular minimum set text sizes to automatically determine image magnification ratios and document sizes required to achieve said particular minimum text sizes in rendered documents via said rendering device, wherein text sizes achieved in said rendered documents are as close as possible to said particular minimum set text sizes if said particular minimum set text sizes specified are unachievable; recalculating said magnification ratio to fill a largest loaded paper size; and automatically optimizing said plurality of differently-sized documents reproduction factors including at least one of original document size, image size, magnification ratios, and output document sizes. | 14. A digital document system apparatus comprising one or more processor readable storage devices having processor readable code on said processor readable storage devices, said processor readable code for programming one or more processor to perform a method for text driven document sizing for a plurality of differently-sized documents in a rendering device, comprising: automatically detecting document sizes for said plurality of differently-sized documents by pre-scanning all sides of said plurality of differently-sized documents to determine said minimum output document sizes needed to accommodate all sides of said plurality of differently-sized documents, wherein reproduced output document sizes of said plurality of differently-sized documents are larger sides of said plurality of differently-sized documents; automatically detecting minimum text sizes of text contained in said plurality of differently-sized documents; recording said minimum text sizes of said text contained in said plurality of differently-sized documents; detecting output document sizes available to said rendering device in response to automatically detecting said minimum text sizes of said text contained in said plurality of differently-sized documents and specifying a particular said minimum set text sizes; utilizing said detected said minimum text sizes and said particular minimum set text sizes to automatically determine image magnification ratios and document sizes required to achieve said particular minimum text sizes in rendered documents via said rendering device, wherein text sizes achieved in said rendered documents are as close as possible to said particular minimum set text sizes if said particular minimum set text sizes specified are unachievable; recalculating said magnification ratio to fill a largest loaded paper size; and automatically optimizing said plurality of differently-sized documents reproduction factors including at least one of original document size, image size, magnification ratios, and output document sizes. 17. The apparatus of claim 14 further comprising a user interface associated with said rendering device, wherein said user interface collects said particular minimum set text sizes. | 0.757373 |
9,430,141 | 16 | 19 | 16. One or more non-transitory computer-readable media having computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a first stroke associated with a touch input; determining, based on the first stroke a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is associated with a hand-drawn annotation; associating the hand-drawn annotation with a first word of a content item presented on a display; receiving additional strokes associated with the hand-drawn annotation; associating the hand-drawn annotation with the first word based at least in part a location of the first word within the the content item presented on the display; and re-rendering the content item on the display to cause the hand-drawn annotation to appear adjacent to the first word and at least partially surrounded by text of the content item presented on the display. | 16. One or more non-transitory computer-readable media having computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a first stroke associated with a touch input; determining, based on the first stroke a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is associated with a hand-drawn annotation; associating the hand-drawn annotation with a first word of a content item presented on a display; receiving additional strokes associated with the hand-drawn annotation; associating the hand-drawn annotation with the first word based at least in part a location of the first word within the the content item presented on the display; and re-rendering the content item on the display to cause the hand-drawn annotation to appear adjacent to the first word and at least partially surrounded by text of the content item presented on the display. 19. The one or more computer-readable media as recited in claim 16 , wherein a position of the hand-drawn annotation is based at least in part on dimensions associated with the display. | 0.934859 |
8,150,866 | 10 | 11 | 10. An information processing system for creating re-usable queries over complex data, the system comprising: a computer memory capable of storing machine instructions; and a processor in communication with said computer memory, said processor configured to access the memory, the processor performing a re-usable object-oriented query language defined with object-oriented classes treated as logical properties, wherein each logical property is defined by one or more specified classes of at least one complex data item; a new class formed by relating inheritance with the specified classes, to the logical properties along with a plurality of virtual method calls that execute all applicable method implementations in at least one of the specified classes; and means for dispatching on the logical properties to choose at least one of a most specific implementation of an operation, wherein a most specific implementation is in class where no subclasses define a same method, wherein the dispatching on the logical properties further includes: means for defining a named predicate p as predicate p(T 1 x 1 , . . . , T n x n ) {formula} for each one of the applicable method implementations, wherein the named predicate p has variables x 1 , . . . , x n , so as to restrict a range of a relation, which contains tuples (x 1 , . . . , x n ) where each x 1 has a type T i ; and means for testing a receiver against each relevant type and choosing the applicable method implementations, wherein testing a type of the receiver is achieved by invoking a named constructor for each class defining a method of a relevant signature, regardless of static types; means for implementing queries by translating actual or possibly recursive object-oriented queries to pure Datalog using for each method and constructor of each class, a first special variable that holds a value that is a member of the class, and for each method that is not a predicate, a second special variable that holds a result of a method; at least one of: means for mapping each constructor to a named characteristic predicate of its class, which tests whether a value belongs to the class, by taking a logical conjunction of characteristic predicates of all superclasses and a property specified in the constructor; means for mapping instance of tests and cast expressions to calls of such characteristic predicates; and means for mapping expressions including nested method calls to a conjunction of predicate calls, with a new named variable denoting an intermediate result of each method call. | 10. An information processing system for creating re-usable queries over complex data, the system comprising: a computer memory capable of storing machine instructions; and a processor in communication with said computer memory, said processor configured to access the memory, the processor performing a re-usable object-oriented query language defined with object-oriented classes treated as logical properties, wherein each logical property is defined by one or more specified classes of at least one complex data item; a new class formed by relating inheritance with the specified classes, to the logical properties along with a plurality of virtual method calls that execute all applicable method implementations in at least one of the specified classes; and means for dispatching on the logical properties to choose at least one of a most specific implementation of an operation, wherein a most specific implementation is in class where no subclasses define a same method, wherein the dispatching on the logical properties further includes: means for defining a named predicate p as predicate p(T 1 x 1 , . . . , T n x n ) {formula} for each one of the applicable method implementations, wherein the named predicate p has variables x 1 , . . . , x n , so as to restrict a range of a relation, which contains tuples (x 1 , . . . , x n ) where each x 1 has a type T i ; and means for testing a receiver against each relevant type and choosing the applicable method implementations, wherein testing a type of the receiver is achieved by invoking a named constructor for each class defining a method of a relevant signature, regardless of static types; means for implementing queries by translating actual or possibly recursive object-oriented queries to pure Datalog using for each method and constructor of each class, a first special variable that holds a value that is a member of the class, and for each method that is not a predicate, a second special variable that holds a result of a method; at least one of: means for mapping each constructor to a named characteristic predicate of its class, which tests whether a value belongs to the class, by taking a logical conjunction of characteristic predicates of all superclasses and a property specified in the constructor; means for mapping instance of tests and cast expressions to calls of such characteristic predicates; and means for mapping expressions including nested method calls to a conjunction of predicate calls, with a new named variable denoting an intermediate result of each method call. 11. The system of claim 10 , wherein at least one search engine is targeted by translating a same intermediate Datalog to different executable formats. | 0.503289 |
8,843,993 | 9 | 12 | 9. A non-transient computer-readable storage medium having computer-readable code embodied on the computer-readable storage medium, the computer-readable code for adiusting a security policy of a computer network, the computer-readable code comprising: (a) program code for parsing a bit string that encodes a natural-language request for adiusting the security policy, to identify: (i) at least one object, and (ii) an action to be applied to said at least one object; (b) program code for displaying said natural-language request; (c) program code for, in response to said identifying of said at least one object, displaying a respective description of each of said at least one object; (d) program code, for each of said at least one object, displaying a respective menu of at least one operation that is applicable to said each object; and (e) program code for displaying said natural-language request; and wherein said menu is displayed in association with a portion of said display of said natural-language request that includes a natural-language representation of each of said at least one object. | 9. A non-transient computer-readable storage medium having computer-readable code embodied on the computer-readable storage medium, the computer-readable code for adiusting a security policy of a computer network, the computer-readable code comprising: (a) program code for parsing a bit string that encodes a natural-language request for adiusting the security policy, to identify: (i) at least one object, and (ii) an action to be applied to said at least one object; (b) program code for displaying said natural-language request; (c) program code for, in response to said identifying of said at least one object, displaying a respective description of each of said at least one object; (d) program code, for each of said at least one object, displaying a respective menu of at least one operation that is applicable to said each object; and (e) program code for displaying said natural-language request; and wherein said menu is displayed in association with a portion of said display of said natural-language request that includes a natural-language representation of each of said at least one object. 12. The computer-readable storage medium of claim 9 , wherein said program code for displaying said at least one menu is program code of a graphical user interface. | 0.710247 |
6,056,549 | 3 | 4 | 3. A communication aid for an impaired individual comprising: a) a collection assembly including a plurality of support structures segregated into a plurality of categories, each category representative of a different subject matter, b) a plurality of demonstration pieces each having an exposed surface including informative indicia formed thereon, c) each of said support structures comprising a display surface formed thereon which is structured and disposed to removably mount a number of subject-related ones of said plurality of demonstration pieces thereon, each of said subject-related demonstration pieces oriented to display said exposed surface thereof for viewing of said informative indicia thereon, d) said collection assembly including at least one primary display portion structured to removably support at least one of said plurality of demonstration pieces thereon in a cooperative array, e) said informative indicia of said at least one demonstration piece which comprises said cooperative array defining a communication created at least in part by the impaired individual, f) said informative indicia on at least some of said plurality of demonstration pieces comprising alphanumeric displays and said alphanumeric displays on said subject related ones of said plurality of demonstration pieces all being representative of one of said plurality of categories, and g) each of said plurality of support structures including code means for identifying a number of said plurality of subject-related demonstration pieces as being representative of one grouping of subject-related demonstration pieces. | 3. A communication aid for an impaired individual comprising: a) a collection assembly including a plurality of support structures segregated into a plurality of categories, each category representative of a different subject matter, b) a plurality of demonstration pieces each having an exposed surface including informative indicia formed thereon, c) each of said support structures comprising a display surface formed thereon which is structured and disposed to removably mount a number of subject-related ones of said plurality of demonstration pieces thereon, each of said subject-related demonstration pieces oriented to display said exposed surface thereof for viewing of said informative indicia thereon, d) said collection assembly including at least one primary display portion structured to removably support at least one of said plurality of demonstration pieces thereon in a cooperative array, e) said informative indicia of said at least one demonstration piece which comprises said cooperative array defining a communication created at least in part by the impaired individual, f) said informative indicia on at least some of said plurality of demonstration pieces comprising alphanumeric displays and said alphanumeric displays on said subject related ones of said plurality of demonstration pieces all being representative of one of said plurality of categories, and g) each of said plurality of support structures including code means for identifying a number of said plurality of subject-related demonstration pieces as being representative of one grouping of subject-related demonstration pieces. 4. A communication aid as recited in claim 3 wherein said code means is additionally formed on said plurality of demonstration pieces for identifying each of said number of subject-related demonstration pieces as being representative of one of said plurality of categories. | 0.699339 |
9,891,791 | 1 | 8 | 1. A computer implemented method comprising: processing building information model data to identify a plurality of building entities, each building entity representing a respective feature of a building modeled by the building information model data, wherein processing comprises parsing the building information model data to further generate a set of tessellate geometry for each of the plurality of building entities respectively, wherein the set of tessellate geometry is used to render corresponding two dimensional views of each of the plurality of building entities; processing a plurality of simulated user interactions corresponding to presentations of the two dimensional views of each of the plurality of building entities, wherein the plurality of simulated user interactions is based on a set of permitted user interactions associated with each corresponding view of the building entity; determining relationships between different respective pairs of the building entities, including determining a particular relationship between a first building entity and a second building entity; obtaining data representing an interaction graph for the plurality of building entities, wherein the interaction graph has nodes and links, each node representing a building entity of the building, and wherein each link connects a corresponding pair of nodes and represents a simulated user interaction with a presentation of a building entity represented by a first node of the pair from the processed plurality of simulated user interactions, the simulated user interaction resulting in a request for a presentation of another building entity represented by a second node of the pair; identifying a first node in the interaction graph corresponding to the first building entity, a second node in the interaction graph corresponding to the second building entity, and a link between the first node and the second node, the link representing a first permitted user interaction from the set of permitted user interactions associated with a first presentation of the first building entity; generating a first presentation comprising a first predetermined view of the first building entity based on the generated set of tessellate geometry for the first building entity, wherein the first presentation comprises a selectable reference for the first permitted user interaction with the first presentation, the selectable reference representing the particular relationship between the first building entity and the second building entity; determining a second predetermined view of the second building entity according to the particular relationship represented by the selectable reference in the first presentation; generating a second presentation based on the generated set of tessellate geometry for the second building entity and comprising the second predetermined view of the second building entity; after generating the first presentation and the second presentation, receiving, over a network from a user device of a user, a user request for the first presentation of the first predetermined view of the first building entity; providing the first presentation of the first predetermined view of the first building entity for presentation to the user at the user device; receiving an indication of user interaction with the selectable reference within the first presentation; and in response to receiving the indication, providing the second presentation of the second predetermined view of the second building entity for presentation to the user at the user device. | 1. A computer implemented method comprising: processing building information model data to identify a plurality of building entities, each building entity representing a respective feature of a building modeled by the building information model data, wherein processing comprises parsing the building information model data to further generate a set of tessellate geometry for each of the plurality of building entities respectively, wherein the set of tessellate geometry is used to render corresponding two dimensional views of each of the plurality of building entities; processing a plurality of simulated user interactions corresponding to presentations of the two dimensional views of each of the plurality of building entities, wherein the plurality of simulated user interactions is based on a set of permitted user interactions associated with each corresponding view of the building entity; determining relationships between different respective pairs of the building entities, including determining a particular relationship between a first building entity and a second building entity; obtaining data representing an interaction graph for the plurality of building entities, wherein the interaction graph has nodes and links, each node representing a building entity of the building, and wherein each link connects a corresponding pair of nodes and represents a simulated user interaction with a presentation of a building entity represented by a first node of the pair from the processed plurality of simulated user interactions, the simulated user interaction resulting in a request for a presentation of another building entity represented by a second node of the pair; identifying a first node in the interaction graph corresponding to the first building entity, a second node in the interaction graph corresponding to the second building entity, and a link between the first node and the second node, the link representing a first permitted user interaction from the set of permitted user interactions associated with a first presentation of the first building entity; generating a first presentation comprising a first predetermined view of the first building entity based on the generated set of tessellate geometry for the first building entity, wherein the first presentation comprises a selectable reference for the first permitted user interaction with the first presentation, the selectable reference representing the particular relationship between the first building entity and the second building entity; determining a second predetermined view of the second building entity according to the particular relationship represented by the selectable reference in the first presentation; generating a second presentation based on the generated set of tessellate geometry for the second building entity and comprising the second predetermined view of the second building entity; after generating the first presentation and the second presentation, receiving, over a network from a user device of a user, a user request for the first presentation of the first predetermined view of the first building entity; providing the first presentation of the first predetermined view of the first building entity for presentation to the user at the user device; receiving an indication of user interaction with the selectable reference within the first presentation; and in response to receiving the indication, providing the second presentation of the second predetermined view of the second building entity for presentation to the user at the user device. 8. The method of claim 1 , wherein the set of permitted user interactions is based on properties of the user device. | 0.905074 |
9,613,093 | 3 | 5 | 3. The system of claim 2 , wherein the input query is created by a user, and wherein the one or more circuits are further configured to perform the method comprising: generating, as a result of the second-medium-type search, a second candidate answer; and presenting the second candidate answer to the user. | 3. The system of claim 2 , wherein the input query is created by a user, and wherein the one or more circuits are further configured to perform the method comprising: generating, as a result of the second-medium-type search, a second candidate answer; and presenting the second candidate answer to the user. 5. The system of claim 3 , wherein the second candidate answer is of the second medium type. | 0.933622 |
8,140,326 | 18 | 33 | 18. A system for reducing speech intelligibility while preserving environmental sounds, the system comprising: a receiving module for receiving an audio signal; a voicing detector for processing the audio signal to separate a vocalic region that comprises vowels; a computation module for computing a representation of at least the vocalic regions, the representation including at least a vocal tract transfer function and an excitation; a replacement module for replacing the vocal tract transfer function of the vocalic region with a replacement vocal tract transfer function of a replacement sound to create a modified vocal tract transfer function; and an audio synthesizer for synthesizing a modified audio signal of at least the vocalic region from the modified vocal tract transfer function and the excitation. | 18. A system for reducing speech intelligibility while preserving environmental sounds, the system comprising: a receiving module for receiving an audio signal; a voicing detector for processing the audio signal to separate a vocalic region that comprises vowels; a computation module for computing a representation of at least the vocalic regions, the representation including at least a vocal tract transfer function and an excitation; a replacement module for replacing the vocal tract transfer function of the vocalic region with a replacement vocal tract transfer function of a replacement sound to create a modified vocal tract transfer function; and an audio synthesizer for synthesizing a modified audio signal of at least the vocalic region from the modified vocal tract transfer function and the excitation. 33. The system of claim 18 , further comprising an excitation module for modifying the excitation. | 0.759804 |
8,086,458 | 17 | 18 | 17. A computer program product comprising computer program instructions tangibly embodied on a computer-readable medium, wherein the instructions are executable by a computer processor to perform a method comprising: (A) identifying a first portion of an original audio signal, the first portion representing sensitive content, comprising: (A)(1) generating a report, the report comprising: (a) content representing information in the original audio signal, and (b) a timestamp indicating a temporal position of the first portion of the original audio signal; (A)(2) identifying a first personally identifying concept in the report; (A)(3) identifying a first timestamp in the report corresponding to the first personally identifying concept; (A)(4) identifying a portion of the original audio signal corresponding to the first personally identifying concept by using the first timestamp; and (B) producing a modified audio signal in which the identified first portion is protected against unauthorized disclosure by applying a security measure to the identified first portion to produce the modified audio signal, wherein the identified first portion in the modified audio signal is protected against unauthorized disclosure. | 17. A computer program product comprising computer program instructions tangibly embodied on a computer-readable medium, wherein the instructions are executable by a computer processor to perform a method comprising: (A) identifying a first portion of an original audio signal, the first portion representing sensitive content, comprising: (A)(1) generating a report, the report comprising: (a) content representing information in the original audio signal, and (b) a timestamp indicating a temporal position of the first portion of the original audio signal; (A)(2) identifying a first personally identifying concept in the report; (A)(3) identifying a first timestamp in the report corresponding to the first personally identifying concept; (A)(4) identifying a portion of the original audio signal corresponding to the first personally identifying concept by using the first timestamp; and (B) producing a modified audio signal in which the identified first portion is protected against unauthorized disclosure by applying a security measure to the identified first portion to produce the modified audio signal, wherein the identified first portion in the modified audio signal is protected against unauthorized disclosure. 18. The computer program product of claim 17 , wherein the sensitive content comprises personally identifying content. | 0.746781 |
9,706,403 | 1 | 4 | 1. A method for providing a mobile device-based community corrections supervision system, comprising: receiving, by a mobile device of an enrollee and from a remote server, a first alert requiring the enrollee to perform a first check-in, wherein the enrollee is enrolled within the mobile device-based community corrections supervision system; receiving a first acknowledgement of the first alert from the enrollee; presenting, in response to receiving the first acknowledgement, a displayed text to the enrollee via a screen on the mobile device of the enrollee; requesting, after the presenting, the enrollee to recite the displayed text; recording, using a camera and a microphone on the mobile device of the enrollee, the enrollee reciting the displayed text to obtain a recordation; and transmitting the recordation to the remote server for monitoring by a supervision case manager assigned to the enrollee. | 1. A method for providing a mobile device-based community corrections supervision system, comprising: receiving, by a mobile device of an enrollee and from a remote server, a first alert requiring the enrollee to perform a first check-in, wherein the enrollee is enrolled within the mobile device-based community corrections supervision system; receiving a first acknowledgement of the first alert from the enrollee; presenting, in response to receiving the first acknowledgement, a displayed text to the enrollee via a screen on the mobile device of the enrollee; requesting, after the presenting, the enrollee to recite the displayed text; recording, using a camera and a microphone on the mobile device of the enrollee, the enrollee reciting the displayed text to obtain a recordation; and transmitting the recordation to the remote server for monitoring by a supervision case manager assigned to the enrollee. 4. The method of claim 1 , further comprising: recording, using a global positioning system (GPS) receiver on the mobile device of the enrollee, a GPS location of the mobile device of the enrollee. | 0.800607 |
9,183,294 | 1 | 9 | 1. A method for retrieving information spread across a plurality of different ontologies, comprising: defining a meta-ontology, wherein the meta-ontology includes high-level properties and their mappings to specific properties defined in a plurality of different ontologies; receiving a question, wherein the question is associated with a high-level property; and providing an answer to the question, wherein the answer is determined by referring only to the meta-ontology to retrieve required information, and in answering a question about a concept, synonyms of the concept's name used in the question are retrieved, and then, the synonyms are used to retrieve corresponding uniform resource identifiers, wherein a synonym is a high-level property included in a resource description framework description of each of the ontologies, wherein the resource description framework description of a first ontology of the ontologies describes how a first synonym corresponds to a first property from the first ontology and how the first synonym is queried such that the first synonym can be retrieved from the first ontology. | 1. A method for retrieving information spread across a plurality of different ontologies, comprising: defining a meta-ontology, wherein the meta-ontology includes high-level properties and their mappings to specific properties defined in a plurality of different ontologies; receiving a question, wherein the question is associated with a high-level property; and providing an answer to the question, wherein the answer is determined by referring only to the meta-ontology to retrieve required information, and in answering a question about a concept, synonyms of the concept's name used in the question are retrieved, and then, the synonyms are used to retrieve corresponding uniform resource identifiers, wherein a synonym is a high-level property included in a resource description framework description of each of the ontologies, wherein the resource description framework description of a first ontology of the ontologies describes how a first synonym corresponds to a first property from the first ontology and how the first synonym is queried such that the first synonym can be retrieved from the first ontology. 9. The method of claim 1 , further comprising integrating a new ontology into the meta-ontology by updating the meta-ontology. | 0.855505 |
8,330,760 | 1 | 9 | 1. A method performed by data processing apparatus, the method comprising: receiving a hinted glyph outline for a glyph to be rendered, the glyph to be rendered being associated with a character of a particular font and at a specified scaled size, the glyph to be rendered having one or more horizontal stems; identifying a darkening amount to be applied to the one or more horizontal stems of the glyph; modifying hints of the one or more horizontal stems of the hinted glyph outline using the identified darkening amount to modify the hinted glyph outline, wherein the modifying includes increasing a spacing between edges of each horizontal stem by twice the darkening amount identified for the respective horizontal stem; and rasterizing the glyph using the modified hinted glyph outline. | 1. A method performed by data processing apparatus, the method comprising: receiving a hinted glyph outline for a glyph to be rendered, the glyph to be rendered being associated with a character of a particular font and at a specified scaled size, the glyph to be rendered having one or more horizontal stems; identifying a darkening amount to be applied to the one or more horizontal stems of the glyph; modifying hints of the one or more horizontal stems of the hinted glyph outline using the identified darkening amount to modify the hinted glyph outline, wherein the modifying includes increasing a spacing between edges of each horizontal stem by twice the darkening amount identified for the respective horizontal stem; and rasterizing the glyph using the modified hinted glyph outline. 9. The method of claim 1 , where modifying the hinted glyph outline is performed in a font design space prior to rasterization of the glyph. | 0.884106 |
8,682,932 | 16 | 28 | 16. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing-devices, cause performance of: generating an index mapping data objects to terms associated with the data objects; generating a graph describing hierarchical relationships between each of the data objects; receiving a search request comprising a plurality of search terms; based on the index, calculating multiple candidate sets of data objects by, for each particular term in the plurality of search terms, identifying a particular candidate set of data objects that are mapped to the particular term; calculating priority scores for at least the data objects in the candidate sets based at least in part on one or more of: a link analysis of the graph; or metadata describing structural constraints upon the data objects; based on the graph, identifying one or more search result subgraphs, wherein each particular subgraph of the one or more search result subgraphs is a hierarchy of data objects that comprises, for each particular term, at least one data object mapped to the particular term in the index; wherein identifying the one or more search result subgraphs comprises investigating the hierarchical relationships described by the graph, in an order that is based on the priority scores, to locate at least one ancestor object that, for each particular candidate set, is the same as, or an ancestor of, at least one member object of that particular candidate set; providing information indicating the one or more search result subgraphs in response to the search request. | 16. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computing-devices, cause performance of: generating an index mapping data objects to terms associated with the data objects; generating a graph describing hierarchical relationships between each of the data objects; receiving a search request comprising a plurality of search terms; based on the index, calculating multiple candidate sets of data objects by, for each particular term in the plurality of search terms, identifying a particular candidate set of data objects that are mapped to the particular term; calculating priority scores for at least the data objects in the candidate sets based at least in part on one or more of: a link analysis of the graph; or metadata describing structural constraints upon the data objects; based on the graph, identifying one or more search result subgraphs, wherein each particular subgraph of the one or more search result subgraphs is a hierarchy of data objects that comprises, for each particular term, at least one data object mapped to the particular term in the index; wherein identifying the one or more search result subgraphs comprises investigating the hierarchical relationships described by the graph, in an order that is based on the priority scores, to locate at least one ancestor object that, for each particular candidate set, is the same as, or an ancestor of, at least one member object of that particular candidate set; providing information indicating the one or more search result subgraphs in response to the search request. 28. The one or more non-transitory computer-readable media of claim 16 , wherein the instructions, when executed by the one or more computing devices, further cause ranking the one or more search result subgraphs based on a combination of node weights and edge weights. | 0.770869 |
7,549,119 | 39 | 40 | 39. The computer readable storage medium according to claim 37 wherein processing step (g3) further comprises the steps of: (g3a) breaking the content up into a plurality of strings, wherein each successive one of said plurality of strings begins with a successive character of the content; (g3b) processing a first of said plurality of strings through a recursive matching comparison subroutine to attempt to identify said at least one matching phrase that is similar to a one of said previously identified undesirable terms stored in said secondary database of undesirable terms; (g3c) determining if said at least one matching phrase has been identified in said first of said plurality of strings; (g3d) when said determining step (g3c) result is no, determining if there are more of said plurality of strings to be processed; (g3e) when said determining step (g3d) result is yes, passing control to said processing step (g3b) for a next of said plurality of strings; (g3f) when said determining step (g3d) result is no, passing control to said determining step (g4); (g3g) when said determining step (g3c) result is yes, determining if an option to look for only a one of said at least one matching phrase has been selected; (g3h) when said determining step (g3g) result is no, storing said at least one matching phrase in a memory and passing control to said determining step (g3d); and (g3i) when said determining step (g3g) result is yes, passing control to said determining step (g4). | 39. The computer readable storage medium according to claim 37 wherein processing step (g3) further comprises the steps of: (g3a) breaking the content up into a plurality of strings, wherein each successive one of said plurality of strings begins with a successive character of the content; (g3b) processing a first of said plurality of strings through a recursive matching comparison subroutine to attempt to identify said at least one matching phrase that is similar to a one of said previously identified undesirable terms stored in said secondary database of undesirable terms; (g3c) determining if said at least one matching phrase has been identified in said first of said plurality of strings; (g3d) when said determining step (g3c) result is no, determining if there are more of said plurality of strings to be processed; (g3e) when said determining step (g3d) result is yes, passing control to said processing step (g3b) for a next of said plurality of strings; (g3f) when said determining step (g3d) result is no, passing control to said determining step (g4); (g3g) when said determining step (g3c) result is yes, determining if an option to look for only a one of said at least one matching phrase has been selected; (g3h) when said determining step (g3g) result is no, storing said at least one matching phrase in a memory and passing control to said determining step (g3d); and (g3i) when said determining step (g3g) result is yes, passing control to said determining step (g4). 40. The computer readable storage medium according to claim 39 wherein processing step (g3b) further comprises the steps of: (g3b1) checking a first character of a first of said plurality of strings against a predefined alias character list, wherein each of said alias characters is a predefined character mapping where more than one character in an ordered sequence is mapped to a single character; (g3b2) when a match is found in said step (g3b1) for said first character of said first of said plurality of strings, building a temporary alias character list for said first character; (g3b3) comparing said first character against a first character of all said previously identified undesirable terms in said secondary database of undesirable terms for a match; (g3b4) when a match is found, counting the match toward a predetermined total of counted matches needed to identify said at least one matching phrase; (g3b5) for said match, determining if a flag has been set in a current position of said previously identified undesirable term in said secondary database of undesirable terms, indicating an end of said previously identified undesirable term; (g3b6) when said determining step (g3b5) result is no, passing control to step (g3b10); (g3b7) when said determining step (g3b5) result is yes, determining if a total of said counted matches is equal to said predetermined total of counted matches needed to identify said at least one matching phrase; (g3b8) when said determining step (g3b7) result is yes, saving said first of said plurality of strings as said at least one matching phrase; (g3b9) when said determining step (g3b7) result is no, passing control to step (g3b10); (g3b10) determining if said recursive matching comparison subroutine has reached an end of said first of said plurality of strings; (g3b11) when said determining step (g3b10) result is no, calling, by said recursive matching comparison subroutine, said recursive matching comparison subroutine recursively; (g3b12) moving to a next character in said first of said plurality of strings and passing control to said checking step (g3b1) for said next character; (g3b13) repeating steps (g3b1) through (g3b12) for said next character; and (g3b14) repeating step (g3b13) for each remaining character in said first of said plurality of strings. | 0.595685 |
8,521,581 | 2 | 3 | 2. The method of claim 1 , further comprising: transmitting a text message advertisement based upon a text message search request received from the device, the text message advertisement being associated with the advertisement; and receiving a request from the device in response to the text message advertisement; wherein the first SMS message is provided in response to the request. | 2. The method of claim 1 , further comprising: transmitting a text message advertisement based upon a text message search request received from the device, the text message advertisement being associated with the advertisement; and receiving a request from the device in response to the text message advertisement; wherein the first SMS message is provided in response to the request. 3. The method of claim 2 , further comprising appending or prepending the text message advertisement onto an end or beginning of a text message sent to the device by a publisher. | 0.946353 |
8,429,206 | 13 | 14 | 13. The method of claim 1 further comprising the step of reducing the at least one input expression to a canonical form. | 13. The method of claim 1 further comprising the step of reducing the at least one input expression to a canonical form. 14. The method of claim 13 wherein the canonical form is a conjunctive normal form. | 0.984799 |
7,634,732 | 21 | 31 | 21. A system for aggregating person-centric information for displaying in a user interface, comprising: a processor; and a memory having computer executable instructions stored thereon, the computer executable instructions being configured for: accessing a client-side application of the client device to obtain a client manipulative electronic document on the client side application; parsing the text of the electronic document, by a persona menu application, for a person name, wherein the persona menu application is separate from the client-side application and is configured as a dynamically linked library for accessing a plurality of different data sources related to a suite of applications; querying, by the persona menu application, at least one user contact data source of the plurality of different data sources containing person-centric data to identify person-centric data associated with the person name; obtaining, at the persona menu application, person-centric data associated with the person name from the at least one user contact data source; querying, by the persona menu application, at least one subsequent data source of the plurality of different data sources containing person-centric data to identify additional person-centric data based on the person name and the person-centric data obtained from the query of the at least one user contact data source; obtaining, at the persona menu application, the additional person-centric data from the at least one subsequent data source, wherein a communication application for communicating with a user identified by the person name is associated with at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source; populating, in the client-side application of the client, a data structure for the person name with the person-centric data obtained from the at least one user contact data source and the at least one subsequent data source; and providing a graphical user interface, of the separate persona menu application, in the client-side application of the client device, wherein the graphical user interface displays the person-centric data and the additional person-centric data adjacent to the person name in the electronic document of the client-side application, wherein the graphical user interface of the separate persona menu application includes action items for facilitating communication with the user identified by the person name according to the communication application associated with the at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source. | 21. A system for aggregating person-centric information for displaying in a user interface, comprising: a processor; and a memory having computer executable instructions stored thereon, the computer executable instructions being configured for: accessing a client-side application of the client device to obtain a client manipulative electronic document on the client side application; parsing the text of the electronic document, by a persona menu application, for a person name, wherein the persona menu application is separate from the client-side application and is configured as a dynamically linked library for accessing a plurality of different data sources related to a suite of applications; querying, by the persona menu application, at least one user contact data source of the plurality of different data sources containing person-centric data to identify person-centric data associated with the person name; obtaining, at the persona menu application, person-centric data associated with the person name from the at least one user contact data source; querying, by the persona menu application, at least one subsequent data source of the plurality of different data sources containing person-centric data to identify additional person-centric data based on the person name and the person-centric data obtained from the query of the at least one user contact data source; obtaining, at the persona menu application, the additional person-centric data from the at least one subsequent data source, wherein a communication application for communicating with a user identified by the person name is associated with at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source; populating, in the client-side application of the client, a data structure for the person name with the person-centric data obtained from the at least one user contact data source and the at least one subsequent data source; and providing a graphical user interface, of the separate persona menu application, in the client-side application of the client device, wherein the graphical user interface displays the person-centric data and the additional person-centric data adjacent to the person name in the electronic document of the client-side application, wherein the graphical user interface of the separate persona menu application includes action items for facilitating communication with the user identified by the person name according to the communication application associated with the at least one member of a group comprising: the at least one user contact data source and the at least one subsequent data source. 31. The system of claim 21 , whereby the at least one subsequent data source includes a free/busy status database. | 0.890595 |
8,133,121 | 9 | 14 | 9. A system for organizing a plurality of electronic game tables, comprising: a game server in communication with a plurality of remote client computers; each of said remote client computers including a display; and at least one display including a console area and a stacking component area, wherein said console area displays an active table, wherein said stacking component area aggregates and displays information about said plurality of electronic game tables, and further wherein said stacking component presents a player with information pertaining to each of said tables and allows said player to select a table, make it an active table, and display said table in said console area. | 9. A system for organizing a plurality of electronic game tables, comprising: a game server in communication with a plurality of remote client computers; each of said remote client computers including a display; and at least one display including a console area and a stacking component area, wherein said console area displays an active table, wherein said stacking component area aggregates and displays information about said plurality of electronic game tables, and further wherein said stacking component presents a player with information pertaining to each of said tables and allows said player to select a table, make it an active table, and display said table in said console area. 14. A system according to claim 9 , wherein a player may alternate between stacking, cascading, and tiling views of said plurality of electronic game tables. | 0.786685 |
7,962,578 | 1 | 3 | 1. A computer-implemented method for managing a conversational system on a server, the method comprising: presenting on a desktop of a computer of a first party, at least one sales chatbot as part of at least one messaging window at a website of a second party, the chatbot adapted to sell at least one of a good and a service; displaying a message to the first party through the messaging window; and reviewing a response from the first party using a combination of scripting and artificial intelligence; wherein the scripting, the messaging window and the artificial intelligence are all managed via a web-based management console of a third party, the web-based management console includes user selectable components for managing a chat window of the chatbot, separate from a window of the website of the second party for display on the computer of the first party, the user selectable components including at least one event/response pair trigger to launch the chatbot; and at least one sales pitch to be presented by the chatbot. | 1. A computer-implemented method for managing a conversational system on a server, the method comprising: presenting on a desktop of a computer of a first party, at least one sales chatbot as part of at least one messaging window at a website of a second party, the chatbot adapted to sell at least one of a good and a service; displaying a message to the first party through the messaging window; and reviewing a response from the first party using a combination of scripting and artificial intelligence; wherein the scripting, the messaging window and the artificial intelligence are all managed via a web-based management console of a third party, the web-based management console includes user selectable components for managing a chat window of the chatbot, separate from a window of the website of the second party for display on the computer of the first party, the user selectable components including at least one event/response pair trigger to launch the chatbot; and at least one sales pitch to be presented by the chatbot. 3. The method of claim 1 , wherein the web-based management console of the third party includes a management console for managing the chat window of the chatbot, separate from the window of the website of the second party for display on the computer of the first party, the user selectable components includes a keyword/response pair for use by the chatbot and one or more of the following: a greeting; a reading timer; a typing timer; and a title on a window for the messaging window. | 0.63806 |
9,632,997 | 6 | 11 | 6. The system according to claim 1 , further comprising a parser component executable by the at least one processor and configured to generate the plurality of elements by executing at least one parse of the transcription information. | 6. The system according to claim 1 , further comprising a parser component executable by the at least one processor and configured to generate the plurality of elements by executing at least one parse of the transcription information. 11. The system according to claim 6 , wherein the at least one parse includes a plurality of parses and each parse of the plurality of parses is associated with a score. | 0.955362 |
8,892,186 | 1 | 2 | 1. A method for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence comprising: initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame, wherein the catheter electrode model in the first frame comprises a plurality of template points corresponding to locations of the CS catheter electrodes in the first frame; and tracking the catheter electrode model in a second frame of the fluoroscopic image sequence by: detecting electrode position candidates in a second frame of the fluoroscopic image sequence using at least one trained electrode detector; generating catheter electrode model candidates in the second frame based on the detected electrode position candidates and the catheter electrode model initialized in the first frame by translating each of the plurality of template points of the catheter electrode model initialized in the first frame to each of the detected electrode position candidates in the second frame; calculating a probability score for each of the catheter electrode model candidates in the second frame; and selecting one of the catheter electrode model candidates in the second frame based on the probability score, wherein the selected catheter electrode model candidate provides locations of the plurality of CS catheter electrodes in the second frame. | 1. A method for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence comprising: initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame, wherein the catheter electrode model in the first frame comprises a plurality of template points corresponding to locations of the CS catheter electrodes in the first frame; and tracking the catheter electrode model in a second frame of the fluoroscopic image sequence by: detecting electrode position candidates in a second frame of the fluoroscopic image sequence using at least one trained electrode detector; generating catheter electrode model candidates in the second frame based on the detected electrode position candidates and the catheter electrode model initialized in the first frame by translating each of the plurality of template points of the catheter electrode model initialized in the first frame to each of the detected electrode position candidates in the second frame; calculating a probability score for each of the catheter electrode model candidates in the second frame; and selecting one of the catheter electrode model candidates in the second frame based on the probability score, wherein the selected catheter electrode model candidate provides locations of the plurality of CS catheter electrodes in the second frame. 2. The method of claim 1 , wherein the step of initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame comprises: storing coordinates of the template points based on the plurality of CS catheter electrodes in the first frame and intensity information corresponding to each template point based on the plurality of CS catheter electrodes in the first frame. | 0.806438 |
8,275,888 | 1 | 17 | 1. A method comprising: receiving a notification indicating that a resource is stored in a resource store; determining a resource category for the resource based, at least in part, on metadata of the resource, in response to said receiving the notification indicating that the resource is stored in the resource store; determining whether a resource index schema for the resource can be identified based on the resource category for the resource; in response to determining that the resource index schema for the resource category can be identified, identifying the resource index schema for the resource, wherein the resource index schema indicates a resource property of the resource; determining, from the metadata of the resource, a property value for the resource property indicated in the resource index schema for the resource category; creating a first index document that has a format independent of a format of the resource, that indicates the resource property and the property value, and that references the resource in the resource store of heterogeneous native format resources; in response to determining that the resource index schema for the resource cannot be identified, identifying a generic schema that indicates at least one property related to storing the resource in a resource store; identifying a property value of the resource for the at least one property indicated in the generic schema; creating a second index document that has a format independent of a format of the resource, that indicates the at least one property identified in the generic schema and the corresponding property value, and that references the resource in the resource store of heterogeneous native format resources; and storing the first index document or the second index document in an index store that comprises a plurality of index documents, wherein the first index document, the second index document, and the plurality of index documents have common formatting. | 1. A method comprising: receiving a notification indicating that a resource is stored in a resource store; determining a resource category for the resource based, at least in part, on metadata of the resource, in response to said receiving the notification indicating that the resource is stored in the resource store; determining whether a resource index schema for the resource can be identified based on the resource category for the resource; in response to determining that the resource index schema for the resource category can be identified, identifying the resource index schema for the resource, wherein the resource index schema indicates a resource property of the resource; determining, from the metadata of the resource, a property value for the resource property indicated in the resource index schema for the resource category; creating a first index document that has a format independent of a format of the resource, that indicates the resource property and the property value, and that references the resource in the resource store of heterogeneous native format resources; in response to determining that the resource index schema for the resource cannot be identified, identifying a generic schema that indicates at least one property related to storing the resource in a resource store; identifying a property value of the resource for the at least one property indicated in the generic schema; creating a second index document that has a format independent of a format of the resource, that indicates the at least one property identified in the generic schema and the corresponding property value, and that references the resource in the resource store of heterogeneous native format resources; and storing the first index document or the second index document in an index store that comprises a plurality of index documents, wherein the first index document, the second index document, and the plurality of index documents have common formatting. 17. The method of claim 1 , further comprising: in response to determining that the resource index schema for the resource category can be identified, identifying a second resource index schema for the resource category, wherein the second resource index schema indicates a second resource property of the resource; determining, from the metadata of the resource, a second property value corresponds to the second resource property indicated in the second resource index schema for the resource category; creating a third index document that has a format independent of a format of the resource, that indicates the second resource property and the corresponding second property value, and that references the resource in the resource store; and storing the third index document in the index store. | 0.821541 |
8,522,137 | 1 | 5 | 1. A method for interfacing with multiple social networks, the method comprising: determining a social networking service that a social networking application is associated with; locating in the social networking application a custom markup language tag, the custom markup language tag written in a first custom markup language, the custom markup language tag specifying an instruction to implement a particular functionality; determining that the custom markup language tag should be replaced either with a set of one or more source code commands, or with a second custom markup language tag defined by the social networking service, and written in a second custom markup, language, the determination based upon the determined social networking service and one or more criteria, the second custom markup language tag and the set of source code commands both containing instructions, which when executed, implement the particular functionality of the custom markup language tag in the first language; responsive to a determination that the custom markup language tag should be replaced with the set of source code commands, replacing the custom markup language tag with the set of source code commands, the set of source code commands being a source code language that is not a markup language; and responsive to a determination that the custom markup language tag should be replaced with the second custom markup language tag, replacing the custom markup language tag with the second custom markup language tag, using one or more computer processors. | 1. A method for interfacing with multiple social networks, the method comprising: determining a social networking service that a social networking application is associated with; locating in the social networking application a custom markup language tag, the custom markup language tag written in a first custom markup language, the custom markup language tag specifying an instruction to implement a particular functionality; determining that the custom markup language tag should be replaced either with a set of one or more source code commands, or with a second custom markup language tag defined by the social networking service, and written in a second custom markup, language, the determination based upon the determined social networking service and one or more criteria, the second custom markup language tag and the set of source code commands both containing instructions, which when executed, implement the particular functionality of the custom markup language tag in the first language; responsive to a determination that the custom markup language tag should be replaced with the set of source code commands, replacing the custom markup language tag with the set of source code commands, the set of source code commands being a source code language that is not a markup language; and responsive to a determination that the custom markup language tag should be replaced with the second custom markup language tag, replacing the custom markup language tag with the second custom markup language tag, using one or more computer processors. 5. The method of claim 1 , further comprising: locating in the social networking application a third custom markup language tag in the first custom markup language, the third custom markup language tag specifying an instruction to implement a second particular functionality; determining that the third custom markup language tag should be replaced either with a fourth custom markup language tag in the second language, or with a second set of one or more source code commands based upon the determined social networking service and based upon the one or more criteria, the fourth custom markup language tag and the second set of source code commands, both containing instructions, which when executed implement the second particular functionality of the third custom markup language tag; responsive to a determination that the custom markup language tag should be replaced with the set of source commands, replacing the third custom markup language tag with the second set of source code commands, the second set of source code commands being a source code language that is not a markup language; responsive to a determination that the third custom markup language tag should be replaced with the fourth custom markup language tag, replacing the third custom markup language tag with the fourth custom markup language tag. | 0.593366 |
7,624,118 | 1 | 9 | 1. A system that facilitates data processing, comprising: a processor that executes the following computer executable components stored on a computer readable storage medium: a receiver component that receives a structured query language (SQL) query; a partitioning component that partitions the SQL query into multiple tasks and provides the tasks to multiple cluster nodes for processing, wherein the multiple cluster nodes include a hierarchical arrangement of sub-clusters of nodes, at least one of the cluster nodes includes a second partitioning component that partitions the received tasks into multiple sub-tasks, the at least one of the cluster nodes determine for one or more sub-tasks whether to execute the sub-task at the at least one cluster node or to provide the sub-task to a first sub-cluster for execution, and further wherein the multiple tasks that are provided to the multiple cluster nodes are assigned based on the association of the data content accessible by each of the multiple cluster nodes with the data content required by the one or more tasks; and a monitoring component that monitors the progress of a first task at a first cluster of nodes of the multiple clusters of nodes, wherein the monitoring component determines the first task is not completed within a first threshold of time, and further wherein the monitoring component reassigns the first task from the first cluster of nodes of the multiple clusters of nodes to a second cluster of nodes of the multiple clusters of nodes upon determining the first task was not completed in the first threshold of time. | 1. A system that facilitates data processing, comprising: a processor that executes the following computer executable components stored on a computer readable storage medium: a receiver component that receives a structured query language (SQL) query; a partitioning component that partitions the SQL query into multiple tasks and provides the tasks to multiple cluster nodes for processing, wherein the multiple cluster nodes include a hierarchical arrangement of sub-clusters of nodes, at least one of the cluster nodes includes a second partitioning component that partitions the received tasks into multiple sub-tasks, the at least one of the cluster nodes determine for one or more sub-tasks whether to execute the sub-task at the at least one cluster node or to provide the sub-task to a first sub-cluster for execution, and further wherein the multiple tasks that are provided to the multiple cluster nodes are assigned based on the association of the data content accessible by each of the multiple cluster nodes with the data content required by the one or more tasks; and a monitoring component that monitors the progress of a first task at a first cluster of nodes of the multiple clusters of nodes, wherein the monitoring component determines the first task is not completed within a first threshold of time, and further wherein the monitoring component reassigns the first task from the first cluster of nodes of the multiple clusters of nodes to a second cluster of nodes of the multiple clusters of nodes upon determining the first task was not completed in the first threshold of time. 9. The system of claim 1 , the plurality of clusters reside within a shared nothing storage architecture. | 0.811828 |
8,571,932 | 1 | 4 | 1. A computer-implemented method for determining at least one supplemental advertisement to be presented on an advertiser landing Web page, the advertiser landing page being referenced from a user selected advertisement, comprising: a) accepting, by a computer system including one or more computers on a network, advertiser policies provided by an advertiser associated with the advertiser landing Web page, the advertiser policies including 1) a condition that supplemental advertisements on the advertiser landing page must not include any links to another document, and 2) a condition that supplemental advertisements on the advertiser landing page advertise a different product or service than the product or service advertised in the user selected advertisement; b) accepting, by the computer system, search query information sourced from a user device; c) generating, by the computer system and for presentation on the user device, a document with search results determined using the search query information and at least one advertisement determined, by the computer system and using the search query information, wherein each of the at least one advertisement includes a reference to an advertiser landing Web page and wherein each of the at least one advertisement advertises a product or service; d) transmitting, by the computer system and to induce presentation on the user device, the generated document including the search results and the at least one advertisement; e) accepting, by the computer system, a selection, sourced from the user device, of one of the at least one advertisement; f) determining at least one supplemental advertisement, by the computer system, using 1) the search query information, and 2) the accepted advertiser policies including the condition that the at least one supplemental advertisement must not include any links to another document, and the condition that the at least one supplemental advertisement advertises a different product or service than the product or service advertised in the selected at least one advertisement; and g) generating, by the computer system and for presentation on the user device, the advertiser landing Web page referenced from the selected at least one advertisement, the advertiser landing Web page including the at least one supplemental advertisement determined by the computer system. | 1. A computer-implemented method for determining at least one supplemental advertisement to be presented on an advertiser landing Web page, the advertiser landing page being referenced from a user selected advertisement, comprising: a) accepting, by a computer system including one or more computers on a network, advertiser policies provided by an advertiser associated with the advertiser landing Web page, the advertiser policies including 1) a condition that supplemental advertisements on the advertiser landing page must not include any links to another document, and 2) a condition that supplemental advertisements on the advertiser landing page advertise a different product or service than the product or service advertised in the user selected advertisement; b) accepting, by the computer system, search query information sourced from a user device; c) generating, by the computer system and for presentation on the user device, a document with search results determined using the search query information and at least one advertisement determined, by the computer system and using the search query information, wherein each of the at least one advertisement includes a reference to an advertiser landing Web page and wherein each of the at least one advertisement advertises a product or service; d) transmitting, by the computer system and to induce presentation on the user device, the generated document including the search results and the at least one advertisement; e) accepting, by the computer system, a selection, sourced from the user device, of one of the at least one advertisement; f) determining at least one supplemental advertisement, by the computer system, using 1) the search query information, and 2) the accepted advertiser policies including the condition that the at least one supplemental advertisement must not include any links to another document, and the condition that the at least one supplemental advertisement advertises a different product or service than the product or service advertised in the selected at least one advertisement; and g) generating, by the computer system and for presentation on the user device, the advertiser landing Web page referenced from the selected at least one advertisement, the advertiser landing Web page including the at least one supplemental advertisement determined by the computer system. 4. The computer-implemented method of claim 1 wherein the advertiser policies accepted further include a list of one or more products or product categories to which the supplemental advertisements may not be related. | 0.861004 |
7,587,320 | 1 | 3 | 1. A system that concatenates speech units to produce synthetic speech, the system comprising: a processor; a module configured to control the processor to train a set of Hidden Markov Models (HMMs) using seed data in a first iteration; a module configured to control the processor to align the set of HMMs to produce segmented unit labels; and a module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction, wherein the unit labels having adjusted boundaries are used to concatenate speech units to synthesize speech. | 1. A system that concatenates speech units to produce synthetic speech, the system comprising: a processor; a module configured to control the processor to train a set of Hidden Markov Models (HMMs) using seed data in a first iteration; a module configured to control the processor to align the set of HMMs to produce segmented unit labels; and a module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction, wherein the unit labels having adjusted boundaries are used to concatenate speech units to synthesize speech. 3. The system of claim 1 , wherein the module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction further adjusts boundaries of the unit labels within specified time windows. | 0.857579 |
8,285,750 | 8 | 14 | 8. Non-transitory, tangible, computer readable media containing computer programming instructions that, when loaded in a computer system having a memory, cause the computer system, in response to user commands, to automatically analyze text documents by performing the following steps in the order recited: receiving a subject text document; comparing the text of the subject text document or the text of a subset of the subject text document to the text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text of the subject text document or the text of the subset of the subject text document to a given degree of correspondence; and generating a report of the differences between the text of the subject text document or the text of the subset of the subject text document and the text of the matching text template or text templates. | 8. Non-transitory, tangible, computer readable media containing computer programming instructions that, when loaded in a computer system having a memory, cause the computer system, in response to user commands, to automatically analyze text documents by performing the following steps in the order recited: receiving a subject text document; comparing the text of the subject text document or the text of a subset of the subject text document to the text of a plurality of given text templates, each text template containing at least one paragraph of text; determining which given text template or text templates has text that matches the text of the subject text document or the text of the subset of the subject text document to a given degree of correspondence; and generating a report of the differences between the text of the subject text document or the text of the subset of the subject text document and the text of the matching text template or text templates. 14. The media of claim 8 wherein the differences in the report are computed according to an edit distance algorithm. | 0.902192 |
9,251,139 | 20 | 24 | 20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. | 20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. 24. The system of claim 20 , the operations comprising: obtaining a training set of conveyance records and documents from which the conveyance records were manually populated; and training, with one or more processors, at least in part, a language processing model based on the training set. | 0.757095 |
9,640,180 | 11 | 12 | 11. The method of claim 7 wherein providing the representation of the utterance to the other computer-implemented agent comprises providing data for a user who spoke the utterance to the other computer-implemented agent. | 11. The method of claim 7 wherein providing the representation of the utterance to the other computer-implemented agent comprises providing data for a user who spoke the utterance to the other computer-implemented agent. 12. The method of claim 11 wherein providing data for the user who spoke the utterance to the other computer-implemented agent comprises: determining privacy settings for the user that define types of data for the user that the computer-implemented agent may provide to the other computer-implemented agent; determining data for the user who spoke the utterance that may be shared with the other computer-implemented agent based on the privacy settings for the user; and providing the data for the user who spoke the utterance to the other computer-implemented agent according to the privacy settings. | 0.810171 |
9,122,776 | 1 | 11 | 1. An electronic health record system, comprising: an electronic device having a display and being capable of receiving user input; a first digital storage segment; a plurality of clinic note templates encoded on the first digital storage segment; a second digital storage segment; a plurality of electronic health records encoded on the second digital storage segment, each record associated with a particular patient; said electronic device effective to access the clinic note templates on the first storage segment and present on the display a template selection screen; said template selection screen containing a plurality of representations of at least a portion of the clinic note templates, wherein said electronic device is effective to present on the display a clinic note formatted according to a particular clinic note template and containing a plurality of fields when the user device receives user input that a user representation of a particular clinic note template is selected; said electronic device effective to receive a user input that a particular field should be manipulated; and said electronic device further effective to present on the display a manipulated field according to the particular user input, wherein: said user input is a portion of a string of textual input; said processor of the user device effective to discern that said portion of a string of textual input is a portion of an acronym; said device effective to present on the display a pop-up window containing a plurality of optional expanded acronyms and receive a second user input that one of said plurality of optional expanded acronyms has been selected; and said device effective to present on the display a completed string of textual input. | 1. An electronic health record system, comprising: an electronic device having a display and being capable of receiving user input; a first digital storage segment; a plurality of clinic note templates encoded on the first digital storage segment; a second digital storage segment; a plurality of electronic health records encoded on the second digital storage segment, each record associated with a particular patient; said electronic device effective to access the clinic note templates on the first storage segment and present on the display a template selection screen; said template selection screen containing a plurality of representations of at least a portion of the clinic note templates, wherein said electronic device is effective to present on the display a clinic note formatted according to a particular clinic note template and containing a plurality of fields when the user device receives user input that a user representation of a particular clinic note template is selected; said electronic device effective to receive a user input that a particular field should be manipulated; and said electronic device further effective to present on the display a manipulated field according to the particular user input, wherein: said user input is a portion of a string of textual input; said processor of the user device effective to discern that said portion of a string of textual input is a portion of an acronym; said device effective to present on the display a pop-up window containing a plurality of optional expanded acronyms and receive a second user input that one of said plurality of optional expanded acronyms has been selected; and said device effective to present on the display a completed string of textual input. 11. The system of claim 1 , further comprising: said electronic device is effective to receive a user input that a subnote should be pinned to the bottom of said clinic note; and said electronic device further effective to present on the display a subnote that is pinned to the bottom of said clinic note. | 0.745409 |
7,522,046 | 4 | 5 | 4. The system of claim 3 , wherein the document coupling device is part of the sensor and facilitates sensing the document state. | 4. The system of claim 3 , wherein the document coupling device is part of the sensor and facilitates sensing the document state. 5. The system of claim 4 , wherein the sensor senses the number of pages based on capacitance. | 0.927132 |
8,244,475 | 2 | 3 | 2. The method of claim 1 , wherein extracting features comprises extracting time-domain and frequency-domain features from the EEG signals in the different time windows, wherein presenting the extracted features comprises presenting the time-domain features to a first plurality of computer-implemented spatial classifiers trained to detect spatial patterns of time-domain features and generate a first plurality of first level outputs and presenting the frequency-domain features to a second plurality of computer-implemented spatial classifiers trained to detect spatial patterns of frequency-domain features and generate a second plurality of first level outputs, wherein presenting the first level outputs to a temporal classifier comprises presenting the first plurality of first level outputs to first temporal classifier to detect temporal patterns and generate a second level temporal output and presenting the second plurality of first level outputs to a second temporal classifier to detect temporal patterns and generate a second level frequency output, further comprising presenting the second level temporal and frequency outputs to a decision-level classifier to generate a third level EEG output indicative of the occurrence or absence of the significant non-stationary brain response. | 2. The method of claim 1 , wherein extracting features comprises extracting time-domain and frequency-domain features from the EEG signals in the different time windows, wherein presenting the extracted features comprises presenting the time-domain features to a first plurality of computer-implemented spatial classifiers trained to detect spatial patterns of time-domain features and generate a first plurality of first level outputs and presenting the frequency-domain features to a second plurality of computer-implemented spatial classifiers trained to detect spatial patterns of frequency-domain features and generate a second plurality of first level outputs, wherein presenting the first level outputs to a temporal classifier comprises presenting the first plurality of first level outputs to first temporal classifier to detect temporal patterns and generate a second level temporal output and presenting the second plurality of first level outputs to a second temporal classifier to detect temporal patterns and generate a second level frequency output, further comprising presenting the second level temporal and frequency outputs to a decision-level classifier to generate a third level EEG output indicative of the occurrence or absence of the significant non-stationary brain response. 3. The method of claim 2 , wherein the first and second temporal classifiers implement feature-level fusion. | 0.958967 |
7,970,822 | 3 | 14 | 3. The non-transitory computer-readable medium of claim 2 , wherein extracting the multimedia objects further comprises: segmenting multimedia content into segments including content from at least one of the multimedia types for the multimedia content; and generating at least one feature description for at least one of the segments by feature extraction and annotation, wherein the generated multimedia object descriptions comprise the at least one feature description for the at least one segment. | 3. The non-transitory computer-readable medium of claim 2 , wherein extracting the multimedia objects further comprises: segmenting multimedia content into segments including content from at least one of the multimedia types for the multimedia content; and generating at least one feature description for at least one of the segments by feature extraction and annotation, wherein the generated multimedia object descriptions comprise the at least one feature description for the at least one segment. 14. The non-transitory computer-readable medium of claim 3 , the instructions further comprising selecting the at least one feature description from the group consisting of media, semantic, and temporal features. | 0.838906 |
9,053,276 | 4 | 5 | 4. The method of claim 3 further comprising performing parasitic RCLK extraction using the schematic-optimal layout design. | 4. The method of claim 3 further comprising performing parasitic RCLK extraction using the schematic-optimal layout design. 5. The method of claim 4 further comprising generating a parameterized parasitic-aware netlist of the schematic-optimal layout design. | 0.941073 |
8,478,903 | 28 | 35 | 28. A method, in a content delivery system operative in a computer network for delivering content to client machines, the computer network comprising a plurality of origin servers, each of said origin servers having resources associated therewith, and the content delivery system comprising at least one shared repeater server operable to replicate resources associated with the plurality of origin servers, the method comprising: associating the at least one repeater server with a first alias name, wherein requests for a first resource located on a first origin server are directed, based at least in part on said first alias name, to the at least one repeater server for delivery of the first resource from said at least one repeater server; associating the at least one repeater server with a second alias name, wherein requests for a second resource located on a second origin server are directed, based at least in part on said second alias name, to the at least one repeater server for delivery of the second resource from said at least one repeater server, wherein the second origin server is distinct from the first origin server; providing a table listing origin servers having content located thereon, wherein said content is authorized for delivery to client machines via the at least one shared repeater server, and wherein the origin servers comprise the first origin server and the second origin server; and wherein the at least one repeater server is further constructed and adapted to analyze, using the table, an alias name received with a client request for a particular resource to determine an origin server associated with the particular resource. | 28. A method, in a content delivery system operative in a computer network for delivering content to client machines, the computer network comprising a plurality of origin servers, each of said origin servers having resources associated therewith, and the content delivery system comprising at least one shared repeater server operable to replicate resources associated with the plurality of origin servers, the method comprising: associating the at least one repeater server with a first alias name, wherein requests for a first resource located on a first origin server are directed, based at least in part on said first alias name, to the at least one repeater server for delivery of the first resource from said at least one repeater server; associating the at least one repeater server with a second alias name, wherein requests for a second resource located on a second origin server are directed, based at least in part on said second alias name, to the at least one repeater server for delivery of the second resource from said at least one repeater server, wherein the second origin server is distinct from the first origin server; providing a table listing origin servers having content located thereon, wherein said content is authorized for delivery to client machines via the at least one shared repeater server, and wherein the origin servers comprise the first origin server and the second origin server; and wherein the at least one repeater server is further constructed and adapted to analyze, using the table, an alias name received with a client request for a particular resource to determine an origin server associated with the particular resource. 35. A method as recited in claim 28 , wherein the table further comprises, for each of the listed origin servers, information from the group consisting of: a reflector name and a committed aggregate information rate (CAIR). | 0.852513 |
9,792,027 | 15 | 16 | 15. Non-transitory computer-readable storage media including computer-executable instructions that, when executed by one or more processors, cause the one or more processors to at least: during output of a sequential content and a visual content, wherein output of the sequential content is synchronized to output of the sequential content, cause display within the visual content of an output indicator that advances during output of the sequential content and indicates a position within the visual content corresponding to a current output position of the sequential content; causing input of an input pointer referencing an input position within the visual content that is distinct from the position indicated by the output indicator; and during advancement of the output indicator, causing output of the sequential content to be modified based at least in part on a distance between the position indicated by the output indicator and the input position. | 15. Non-transitory computer-readable storage media including computer-executable instructions that, when executed by one or more processors, cause the one or more processors to at least: during output of a sequential content and a visual content, wherein output of the sequential content is synchronized to output of the sequential content, cause display within the visual content of an output indicator that advances during output of the sequential content and indicates a position within the visual content corresponding to a current output position of the sequential content; causing input of an input pointer referencing an input position within the visual content that is distinct from the position indicated by the output indicator; and during advancement of the output indicator, causing output of the sequential content to be modified based at least in part on a distance between the position indicated by the output indicator and the input position. 16. The non-transitory computer-readable storage media of claim 15 , wherein the computer-executable instructions further cause the one or more processors to output a visual cue of the distance between the input position and the position indicated by the output indicator. | 0.828715 |
9,405,796 | 13 | 14 | 13. A system for analyzing domain name registrar and hosting provider relationships, the system comprising: one or more memory devices storing instructions; and one or more processors coupled to the one or more memory devices and configured to execute the instructions to perform operations comprising: receiving a list of domain names; determining registrar information and hosting provider information associated with each domain name of the list of domain names; and generating a registrar-to-hosting-provider graph based on the registrar information and the hosting provider information associated with each domain name, wherein: the registrar-to-hosting-provider graph comprises: nodes representing registrars and nodes representing hosting providers; and edges comprising one or more edge attributes representing one or more common associations between the registrars and the hosting providers; the one or more edge attributes comprise a number of domain names of the list of domain names; and each edge corresponds to at least one domain name associated with a registrar and a hosting provider. | 13. A system for analyzing domain name registrar and hosting provider relationships, the system comprising: one or more memory devices storing instructions; and one or more processors coupled to the one or more memory devices and configured to execute the instructions to perform operations comprising: receiving a list of domain names; determining registrar information and hosting provider information associated with each domain name of the list of domain names; and generating a registrar-to-hosting-provider graph based on the registrar information and the hosting provider information associated with each domain name, wherein: the registrar-to-hosting-provider graph comprises: nodes representing registrars and nodes representing hosting providers; and edges comprising one or more edge attributes representing one or more common associations between the registrars and the hosting providers; the one or more edge attributes comprise a number of domain names of the list of domain names; and each edge corresponds to at least one domain name associated with a registrar and a hosting provider. 14. The system of claim 13 , wherein the operations further comprise: requesting the list of domain names. | 0.926997 |
6,094,647 | 1 | 9 | 1. A document information search method for searching for specified text data containing a given search subject key word from a group of documents including document text data stored in advance, said method comprising the steps of: registering text data of said documents as a source file, generating a presearch file representative of component characters of the document text data in the source file, generating a search query component character file comprising character components of the given search subject key word, selecting as possible search documents for key word searching, selected ones of the documents having a presearch file including the character components of the search query component character file; and key word searching of the selected ones for the given search subject key word. | 1. A document information search method for searching for specified text data containing a given search subject key word from a group of documents including document text data stored in advance, said method comprising the steps of: registering text data of said documents as a source file, generating a presearch file representative of component characters of the document text data in the source file, generating a search query component character file comprising character components of the given search subject key word, selecting as possible search documents for key word searching, selected ones of the documents having a presearch file including the character components of the search query component character file; and key word searching of the selected ones for the given search subject key word. 9. The document information search method according to claim 1, wherein: said text file and said presearch file are generated for each text. | 0.900143 |
8,027,982 | 1 | 8 | 1. A computer-implemented method of providing user-subscribed sources for secure search, comprising: providing to a user a template for crawling a source, the template defining a location of and crawl settings for a target data repository source, the template not having specified security credentials for the source; allowing a user to subscribe to the source using the template; receiving user-specified security credentials from the user and applying the user-specified security credentials to an instance of the template to create a user-subscribed source; authenticating a crawler as the user on the source; crawling, using a processor associated with a computer system, the source as the user template with user-specified security credentials; indexing documents for the user during the crawling in an index; and stamping identification information for the user with each entry in the index such that the associated documents are only available for search in the index by the user. | 1. A computer-implemented method of providing user-subscribed sources for secure search, comprising: providing to a user a template for crawling a source, the template defining a location of and crawl settings for a target data repository source, the template not having specified security credentials for the source; allowing a user to subscribe to the source using the template; receiving user-specified security credentials from the user and applying the user-specified security credentials to an instance of the template to create a user-subscribed source; authenticating a crawler as the user on the source; crawling, using a processor associated with a computer system, the source as the user template with user-specified security credentials; indexing documents for the user during the crawling in an index; and stamping identification information for the user with each entry in the index such that the associated documents are only available for search in the index by the user. 8. A method according to claim 1 , further comprising: associating the template with a predetermined group of secure data. | 0.862302 |
7,912,724 | 23 | 24 | 23. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory stores program instructions executable by the processor to perform: accessing a set containing a limited number of phonemes sequences, wherein each phoneme sequence comprises one or more phonemes; associating each advertising file of a plurality of advertising files with one or more of the limited number of phoneme sequences, wherein said associating is based on comparing at least one sequence of one or more phonemes present within audio data of the advertising file to the set of phoneme sequences; analyzing requested content, wherein said analyzing is based on comparing at least one sequence of one or more phonemes present within audio data of the requested content to the set of phonemes sequences; and matching one of the plurality of advertising files to the requested content, wherein said matching is based on results of said associating and said analyzing. | 23. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory stores program instructions executable by the processor to perform: accessing a set containing a limited number of phonemes sequences, wherein each phoneme sequence comprises one or more phonemes; associating each advertising file of a plurality of advertising files with one or more of the limited number of phoneme sequences, wherein said associating is based on comparing at least one sequence of one or more phonemes present within audio data of the advertising file to the set of phoneme sequences; analyzing requested content, wherein said analyzing is based on comparing at least one sequence of one or more phonemes present within audio data of the requested content to the set of phonemes sequences; and matching one of the plurality of advertising files to the requested content, wherein said matching is based on results of said associating and said analyzing. 24. The system of claim 23 , wherein the limited number of phoneme sequences is associated with a limited number of corresponding product categories. | 0.75 |
7,716,040 | 1 | 10 | 1. A computer-implemented method comprising: (A) identifying a document including a first coding having a first feature encoding a first concept, the first coding being associated with a first code and first data; (B) rendering, by a processor, the first data to have a visual characteristic that is based on the first feature, without rendering the first code; (C) receiving a first indication from a user of whether the rendering is accurate; (D) identifying, based on the first indication received from the user, a verification status of the first coding, wherein the verification status of the first coding indicates whether the first data represents the first concept, comprising: (D)(1) if the first indication that the rendering is accurate, then identifying a verification status of the first coding indicating that the first coding is accurate; and (D)(2) otherwise, identifying a verification status of the first coding indicating that the first coding is inaccurate; and (E) if the verification status of the first coding indicates that the first coding is inaccurate, then modifying the first feature of the first coding. | 1. A computer-implemented method comprising: (A) identifying a document including a first coding having a first feature encoding a first concept, the first coding being associated with a first code and first data; (B) rendering, by a processor, the first data to have a visual characteristic that is based on the first feature, without rendering the first code; (C) receiving a first indication from a user of whether the rendering is accurate; (D) identifying, based on the first indication received from the user, a verification status of the first coding, wherein the verification status of the first coding indicates whether the first data represents the first concept, comprising: (D)(1) if the first indication that the rendering is accurate, then identifying a verification status of the first coding indicating that the first coding is accurate; and (D)(2) otherwise, identifying a verification status of the first coding indicating that the first coding is inaccurate; and (E) if the verification status of the first coding indicates that the first coding is inaccurate, then modifying the first feature of the first coding. 10. The method of claim 1 , wherein (C) comprises receiving first input by the user indicating whether the rendering is accurate. | 0.86129 |
9,542,927 | 27 | 30 | 27. The article of manufacture of claim 23 , wherein extracting speech features from the plurality of recorded reference speech utterances of the reference speaker comprises decomposing the recorded reference speech utterances of the reference speaker into reference temporal frames of parameterized reference speech units, wherein each reference temporal frame corresponds to a respective reference-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective reference speech unit, and wherein extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker comprises decomposing the recorded colloquial speech utterances of the respective colloquial speaker into colloquial temporal frames of parameterized colloquial speech units, wherein each colloquial temporal frame corresponds to a respective colloquial-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective colloquial speech unit. | 27. The article of manufacture of claim 23 , wherein extracting speech features from the plurality of recorded reference speech utterances of the reference speaker comprises decomposing the recorded reference speech utterances of the reference speaker into reference temporal frames of parameterized reference speech units, wherein each reference temporal frame corresponds to a respective reference-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective reference speech unit, and wherein extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker comprises decomposing the recorded colloquial speech utterances of the respective colloquial speaker into colloquial temporal frames of parameterized colloquial speech units, wherein each colloquial temporal frame corresponds to a respective colloquial-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective colloquial speech unit. 30. The article of manufacture of claim 27 , wherein the reference speech units each correspond to one of a phoneme or a triphone, and wherein the colloquial speech units each correspond to one of a phoneme or a triphone. | 0.931153 |
9,807,093 | 12 | 13 | 12. The storage medium of claim 8 , wherein the pre-determined type of metadata comprises a portion of the metadata in the electronic document. | 12. The storage medium of claim 8 , wherein the pre-determined type of metadata comprises a portion of the metadata in the electronic document. 13. The storage medium of claim 12 , wherein the instructions cause the one or more computer processors to further perform the operation of generating a request, to the user of the electronic device, for a selection of the metadata to be removed from the electronic document. | 0.859551 |
5,539,529 | 20 | 21 | 20. The selective call receiver according to claim 19 further comprising a processor for processing the bitmap image. | 20. The selective call receiver according to claim 19 further comprising a processor for processing the bitmap image. 21. The selective call receiver according to claim 20 wherein the processor further comprising a rectangular identifier for identifying rectangular regions within the bitmap image. | 0.947152 |
9,256,813 | 1 | 2 | 1. A method comprising: receiving, into a computerized device, images of a previously printed document, a second document to be printed, and instructions to use previous layout parameters of said previously printed document to print said second document, without providing access to said previous layout parameters of said previously printed document; automatically reverse engineering said previous layout parameters used to print said previously printed document from said images of said previously printed document, without access to said previous layout parameters, using said computerized device, by detecting page boundaries, detecting page orientation, and detecting page sequencing within said images of said previously printed document; automatically, using said computerized device, preparing a print job ticket for said second document having job ticket layout parameters matching said previous layout parameters; and outputting, from said computerized device, said second document using said print job ticket to cause said second document to match said previous layout parameters of said previously printed document. | 1. A method comprising: receiving, into a computerized device, images of a previously printed document, a second document to be printed, and instructions to use previous layout parameters of said previously printed document to print said second document, without providing access to said previous layout parameters of said previously printed document; automatically reverse engineering said previous layout parameters used to print said previously printed document from said images of said previously printed document, without access to said previous layout parameters, using said computerized device, by detecting page boundaries, detecting page orientation, and detecting page sequencing within said images of said previously printed document; automatically, using said computerized device, preparing a print job ticket for said second document having job ticket layout parameters matching said previous layout parameters; and outputting, from said computerized device, said second document using said print job ticket to cause said second document to match said previous layout parameters of said previously printed document. 2. The method according to claim 1 , further comprising outputting, through a graphic user interface of said computerized device, options to modify layout parameters of said print job ticket. | 0.909134 |
7,606,785 | 1 | 3 | 1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. | 1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. 3. The method of claim 1 , wherein generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories and an a-box comprising assertions of individual instances of the categories of the t-box comprises: reading the set of rules; generating a portion of t-box information from a portion of the set of rules; reading and parsing the input information to form an internal representation; analyzing the internal representation against at least one rule of the set of rules to generate a result comprising at least one of an instance, a property instance and a t-box statement; and outputting the result. | 0.633224 |
9,361,295 | 12 | 14 | 12. A non-transitory computer readable media comprising a system for administering a sound link, the system comprising: a. a webpage component configured to receive data from a user representing pre-existing webpage location information; b. an audio component configured to receive data from the user representing audio file location information; c. a generation module configured for generating a new sound link by combining a webpage address link for a pre-existing webpage with a link to an audio file location for an audio file; and d. a display component configured to display the new sound link after the new sound link has been generated by the generation module; wherein the new sound link opens both the pre-existing webpage and the audio file when selected. | 12. A non-transitory computer readable media comprising a system for administering a sound link, the system comprising: a. a webpage component configured to receive data from a user representing pre-existing webpage location information; b. an audio component configured to receive data from the user representing audio file location information; c. a generation module configured for generating a new sound link by combining a webpage address link for a pre-existing webpage with a link to an audio file location for an audio file; and d. a display component configured to display the new sound link after the new sound link has been generated by the generation module; wherein the new sound link opens both the pre-existing webpage and the audio file when selected. 14. The system of claim 12 wherein the generate module is further configured for editing, deleting and managing the sound link. | 0.865751 |
7,856,475 | 1 | 22 | 1. A method for facilitating communication between a plurality of users, comprising: capturing, by a hardware processor, a first portion of a dialogue, between the plurality of users on a first communication tool, comprising a first version of a document and a first duration; capturing, by the hardware processor, a second portion of the dialogue, between the plurality of users on the first communication tool, comprising a second version of the document and a second duration; determining, by the hardware processor, that a number of document versions in the dialogue exceeds a document version threshold based on the first version and the second version; determining, by the hardware processor, that a frequency of the dialogue exceeds a frequency threshold based on the first duration and the second duration; identifying, by the hardware processor, a pre-defined usage pattern that exists prior to the dialogue based on the number of document versions in the dialogue exceeding the document version threshold and the frequency of the dialogue exceeding the frequency threshold; identifying, by the hardware processor, a second communication tool associated with the pre-defined usage pattern, wherein the first communication tool and the second communication tool are software applications; informing, by the hardware processor, the plurality of users of the second communication tool for a communication subsequent to the dialogue; switching, by the hardware processor, from the first communication tool to the second communication tool after informing the plurality of users; and generating, by the hardware processor, a summary of the communication subsequent to the dialogue. | 1. A method for facilitating communication between a plurality of users, comprising: capturing, by a hardware processor, a first portion of a dialogue, between the plurality of users on a first communication tool, comprising a first version of a document and a first duration; capturing, by the hardware processor, a second portion of the dialogue, between the plurality of users on the first communication tool, comprising a second version of the document and a second duration; determining, by the hardware processor, that a number of document versions in the dialogue exceeds a document version threshold based on the first version and the second version; determining, by the hardware processor, that a frequency of the dialogue exceeds a frequency threshold based on the first duration and the second duration; identifying, by the hardware processor, a pre-defined usage pattern that exists prior to the dialogue based on the number of document versions in the dialogue exceeding the document version threshold and the frequency of the dialogue exceeding the frequency threshold; identifying, by the hardware processor, a second communication tool associated with the pre-defined usage pattern, wherein the first communication tool and the second communication tool are software applications; informing, by the hardware processor, the plurality of users of the second communication tool for a communication subsequent to the dialogue; switching, by the hardware processor, from the first communication tool to the second communication tool after informing the plurality of users; and generating, by the hardware processor, a summary of the communication subsequent to the dialogue. 22. The method of claim 1 , further comprising: identifying the first communication tool as email; and identifying the second communication tool as an online document sharing tool. | 0.768638 |
9,135,625 | 6 | 10 | 6. A computer-implemented method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including one or more words; generating a matrix of surprisingness values, where each surprisingness value indicates a likelihood of a word appearing in a legitimate business title, by: examining each legitimate business title to identify pairs of words occurring in that title, adding a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles, and normalizing the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how likely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; accessing a first plurality of business listings each associated with title data including two or more words; identifying, from the first plurality of business listings, a second plurality of business listings all corresponding to one particular business; for each business listing of the identified second plurality of business listings, determining a surprisingness value indicative of the surprisingness of the title included in the particular business listing based on the stored matrix of surprisingness values; determining an average surprisingness value for the identified second plurality of business listings based on the stored matrix of surprisingness values; selecting a particular business listing of the identified second plurality of business listings; and determining whether the particular business listing is legitimate based on whether the surprisingness value for the particular business listing is greater than the average surprisingness value plus a threshold value. | 6. A computer-implemented method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including one or more words; generating a matrix of surprisingness values, where each surprisingness value indicates a likelihood of a word appearing in a legitimate business title, by: examining each legitimate business title to identify pairs of words occurring in that title, adding a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles, and normalizing the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how likely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; accessing a first plurality of business listings each associated with title data including two or more words; identifying, from the first plurality of business listings, a second plurality of business listings all corresponding to one particular business; for each business listing of the identified second plurality of business listings, determining a surprisingness value indicative of the surprisingness of the title included in the particular business listing based on the stored matrix of surprisingness values; determining an average surprisingness value for the identified second plurality of business listings based on the stored matrix of surprisingness values; selecting a particular business listing of the identified second plurality of business listings; and determining whether the particular business listing is legitimate based on whether the surprisingness value for the particular business listing is greater than the average surprisingness value plus a threshold value. 10. The method of claim 6 , further comprising determining whether the particular business listing is legitimate when the surprisingness value for the particular business listing is greater than the average surprisingness value plus the threshold value. | 0.507782 |
9,563,687 | 3 | 4 | 3. The method of claim 1 , wherein: the set of vertices is a first set of vertices; the set of tables is a first set of tables; the data storage system is a first data storage system; the amount of storage space is a first amount of storage space to be used by the first set of tables; the first set of tables is determined by traversing the graph from a first vertex corresponding to a first table; and the method further comprises: during the traversing of the graph, determining a second vertex corresponding to a second table, wherein an available storage capacity of the first data storage system is insufficient to store the second table with the first set of tables; and partitioning the graph to determine the first set of vertices not including the second vertex, the first set of vertices corresponding to the first set of tables not including the second table. | 3. The method of claim 1 , wherein: the set of vertices is a first set of vertices; the set of tables is a first set of tables; the data storage system is a first data storage system; the amount of storage space is a first amount of storage space to be used by the first set of tables; the first set of tables is determined by traversing the graph from a first vertex corresponding to a first table; and the method further comprises: during the traversing of the graph, determining a second vertex corresponding to a second table, wherein an available storage capacity of the first data storage system is insufficient to store the second table with the first set of tables; and partitioning the graph to determine the first set of vertices not including the second vertex, the first set of vertices corresponding to the first set of tables not including the second table. 4. The method of claim 3 , further comprising: traversing the graph from the second vertex to determine a second set of vertices; determining a second amount of storage space to be used by a second set of tables corresponding to the second set of vertices; determining that an available storage capacity of a second data storage system is at least the second amount of storage space; and storing the second set of tables on the second data storage system. | 0.827652 |
8,849,665 | 9 | 10 | 9. A system comprising: a processor; and a computer readable storage medium storing instructions which, when executed by the processor, cause the processor to perform a method comprising: receiving a source language sentence; selecting, via a lexical classifier, a set of target language n-grams associated with the source language sentence, wherein the bag of target language n-grams comprises a beginning n-gram having a start token in a first word position, and an ending n-gram having an end token in a second word position, the end token connecting a history node to a final state node; combining the set of target language n-grams to yield an n-gram network; ranking N strings in the n-gram network using a language model to yield an n-best list of target sentences; and generating a target sentence based on the n-best list. | 9. A system comprising: a processor; and a computer readable storage medium storing instructions which, when executed by the processor, cause the processor to perform a method comprising: receiving a source language sentence; selecting, via a lexical classifier, a set of target language n-grams associated with the source language sentence, wherein the bag of target language n-grams comprises a beginning n-gram having a start token in a first word position, and an ending n-gram having an end token in a second word position, the end token connecting a history node to a final state node; combining the set of target language n-grams to yield an n-gram network; ranking N strings in the n-gram network using a language model to yield an n-best list of target sentences; and generating a target sentence based on the n-best list. 10. The system of claim 9 , wherein the lexical classifier generates a classification score for each of a plurality of n-grams in a set of training data. | 0.536364 |
8,469,712 | 1 | 7 | 1. A method of enabling input into a handheld electronic device having an input apparatus, an output apparatus, and a processor, said handheld electronic device of a type having stored therein a number of language objects in each of a plurality of languages, said input apparatus having a number of input members, at least some of the input members each having assigned thereto a plurality of linguistic elements, the method comprising: detecting a selection of a language; making a determination, by the processor, that said language has a predetermined characteristic, said predetermined characteristic comprising one of being a default language and being a non-default language; detecting as an ambiguous input an actuation of one or more of said input members; outputting at least a portion of each of a number of said language objects that correspond with said ambiguous input; and responsive only to said making a determination that said language is a non-default language, outputting an indication representative of said language prior to outputting at least a portion of each of a number of said language objects that correspond with said ambiguous input. | 1. A method of enabling input into a handheld electronic device having an input apparatus, an output apparatus, and a processor, said handheld electronic device of a type having stored therein a number of language objects in each of a plurality of languages, said input apparatus having a number of input members, at least some of the input members each having assigned thereto a plurality of linguistic elements, the method comprising: detecting a selection of a language; making a determination, by the processor, that said language has a predetermined characteristic, said predetermined characteristic comprising one of being a default language and being a non-default language; detecting as an ambiguous input an actuation of one or more of said input members; outputting at least a portion of each of a number of said language objects that correspond with said ambiguous input; and responsive only to said making a determination that said language is a non-default language, outputting an indication representative of said language prior to outputting at least a portion of each of a number of said language objects that correspond with said ambiguous input. 7. The method according to claim 1 , further comprising outputting as said indication a linguistic representation of said language. | 0.839853 |
4,481,593 | 4 | 5 | 4. In a speech analysis apparatus for recognizing at least one spoken keywork in an audio signal, each keyword being characterized by a template having at least one target pattern, a method for forming reference patterns representing said spoken keywords and tailored to a speaker, comprising the steps of: providing speaker independent reference patterns representing said spoken keywords, determining beginning and ending boundaries of said keywords in audio signals spoken by said speaker using said speaker independent reference patterns, and training the speech analysis apparatus to said speaker using the beginning and ending boundaries determined by said apparatus for said keywords spoken by said speaker. | 4. In a speech analysis apparatus for recognizing at least one spoken keywork in an audio signal, each keyword being characterized by a template having at least one target pattern, a method for forming reference patterns representing said spoken keywords and tailored to a speaker, comprising the steps of: providing speaker independent reference patterns representing said spoken keywords, determining beginning and ending boundaries of said keywords in audio signals spoken by said speaker using said speaker independent reference patterns, and training the speech analysis apparatus to said speaker using the beginning and ending boundaries determined by said apparatus for said keywords spoken by said speaker. 5. The method of claim 4 wherein the training step comprises the steps of: dividing a keyword representing incoming audio signal from said speaker into a plurality of subintervals using said keyword boundaries, forcing each subinterval to correspond to a unique reference pattern, repeating said dividing and forcing steps upon a plurality of audio input signals representing the same keyword, generating statistics describing the reference pattern associated with each subinterval, and making a second pass through said audio input signals representing said keyword, using said assembled statistics, for providing machine generated subintervals for said keywords. | 0.539528 |
7,945,598 | 19 | 20 | 19. The data processing system of claim 17 , wherein the computer usable code to create a process document for each task in the multi-step process includes updating pointers in a parent field in the process metadata data structure to point to a parent of the process document, and updating pointers in a child field in the process metadata data structure to point to a child of the process document based on the order of execution in the procedure information. | 19. The data processing system of claim 17 , wherein the computer usable code to create a process document for each task in the multi-step process includes updating pointers in a parent field in the process metadata data structure to point to a parent of the process document, and updating pointers in a child field in the process metadata data structure to point to a child of the process document based on the order of execution in the procedure information. 20. The data processing system of claim 19 , wherein the processing unit further executes the computer usable code to search the metadata in the metadata repository to locate the process information about the multi-step process; determine from the metadata about the multi-step process that the multi-step process comprises a plurality of tasks; and locate, using the pointers in the metadata about the multi-step process, the process information for the plurality of tasks in accordance with the execution order specified by the practice requirements. | 0.841834 |
8,224,650 | 52 | 56 | 52. A computer implemented method for defining a website application on a server in a server/client architecture, the website application providing markup to a client for performing recognition and/or audible prompting on the client, the method comprising: defining the website application by creating an authoring page with a first set of visual controls having attributes related to a first modality of interaction with a user of the client that being visual rendering on the client device, the attributes related to visual rendering including at least one of location for visual rendering, font, background color, and foreground color and with a second set of controls having attributes related to a second modality of interaction with a user of the client that being at least one of recognition and audibly prompting, the first set of controls and the second set of controls being related to client side markup executable by a client browser, wherein defining includes selectively associating controls of the second set of controls with at least one control of the first set of visual controls, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and processing the controls on the authoring page to generate client side markup including processing of the first set of visual controls to generate client side markup executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and processing the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set. | 52. A computer implemented method for defining a website application on a server in a server/client architecture, the website application providing markup to a client for performing recognition and/or audible prompting on the client, the method comprising: defining the website application by creating an authoring page with a first set of visual controls having attributes related to a first modality of interaction with a user of the client that being visual rendering on the client device, the attributes related to visual rendering including at least one of location for visual rendering, font, background color, and foreground color and with a second set of controls having attributes related to a second modality of interaction with a user of the client that being at least one of recognition and audibly prompting, the first set of controls and the second set of controls being related to client side markup executable by a client browser, wherein defining includes selectively associating controls of the second set of controls with at least one control of the first set of visual controls, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and processing the controls on the authoring page to generate client side markup including processing of the first set of visual controls to generate client side markup executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and processing the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set. 56. The computer implemented method of claim 52 wherein the second set of controls further includes means for generating markup related to a grammar for one of navigation on the computer, help with a task, and repeating an audible prompt; and wherein defining the website application with a second set of controls related to at least one of recognition and audibly prompting includes associating said means with means for prompting a question control. | 0.709407 |
8,918,321 | 1 | 3 | 1. A method comprising: identifying, via a processor, segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment, to yield an activated weighted grammar; and recognizing user speech received during the specific segment of the dialog using the activated weighted grammar. | 1. A method comprising: identifying, via a processor, segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment, to yield an activated weighted grammar; and recognizing user speech received during the specific segment of the dialog using the activated weighted grammar. 3. The method of claim 1 , further comprising weighting a grammar based on an expected probable user response. | 0.883966 |
8,700,612 | 15 | 27 | 15. A non-transitory computer-readable storage medium storing instructions that, when executed, cause a processing device to perform a method comprising: receiving a search input; selecting a first cell within a matrix of cells in response to the search input, wherein each cell within the matrix of cells includes searchable data, the first cell is selected based upon the first cell including searchable data related to the search input, and the first cell further includes a first link assigned a causal context relationship and providing a navigation link from the first cell to a causal context cell corresponding to the first cell, a second link assigned an inclusion contextual relationship and providing a navigation link from the first cell to an inclusion context cell corresponding to the first cell, a third link assigned a temporal contextual relationship and providing a navigation link from the first cell to a temporal context cell corresponding to the first cell, and fourth link assigned a spatial contextual relationship and providing a navigation link from the first cell to a spatial context cell corresponding to the first cell; displaying, in response to the search input, a portion of the searchable data of the first cell and first, second, third, and fourth selectable objects, the first selectable object corresponding to the first link, the second selectable object corresponding to the second link, the third selectable object corresponding to the third link, and the fourth selectable object corresponding to the fourth link; receiving selection of the first, second, third, or fourth of the plurality of selectable objects; and utilizing the corresponding link to display a context cell corresponding to the first cell, wherein selection of a first of the plurality of selectable objects results in the computer utilizing the first link to select and display the causal context cell corresponding to the first cell, the display of the causal context cell including displaying a subject of the first cell as causing or influencing one or more subjects of other cells or as being caused or influenced by one or more subjects of other cells, wherein selection of a second of the plurality of selectable objects results in the computer utilizing the second link to select and display the inclusion context cell corresponding to the first cell, the display of the inclusion context cell including displaying the subject of the first cell within a category along with subjects of other cells included within the category, wherein selection of a third of the plurality of selectable objects results in the computer utilizing the third link to select and display the temporal context cell corresponding to the first cell, the display of the temporal context cell including displaying the subject of the first cell within a timeline along with subjects of other cells of relevance within the timeline, wherein selection of a fourth of the plurality of selectable objects results in the computer utilizing the fourth link to select and display the spatial context cell corresponding to the first cell, the display of the spatial context cell including displaying a location corresponding to the subject of the first cell within a map, and when the received selection is of the first of the plurality of selectable objects, the method further comprising receiving a command to alter the zoom of the display of the corresponding portion of the data of the first cell and the first set of other data and, in response to the zoom command, adding or removing subjects that served as a cause of or influence upon the subject of the first cell, or adding or removing subjects that were caused or influenced by the subject of the first cell. | 15. A non-transitory computer-readable storage medium storing instructions that, when executed, cause a processing device to perform a method comprising: receiving a search input; selecting a first cell within a matrix of cells in response to the search input, wherein each cell within the matrix of cells includes searchable data, the first cell is selected based upon the first cell including searchable data related to the search input, and the first cell further includes a first link assigned a causal context relationship and providing a navigation link from the first cell to a causal context cell corresponding to the first cell, a second link assigned an inclusion contextual relationship and providing a navigation link from the first cell to an inclusion context cell corresponding to the first cell, a third link assigned a temporal contextual relationship and providing a navigation link from the first cell to a temporal context cell corresponding to the first cell, and fourth link assigned a spatial contextual relationship and providing a navigation link from the first cell to a spatial context cell corresponding to the first cell; displaying, in response to the search input, a portion of the searchable data of the first cell and first, second, third, and fourth selectable objects, the first selectable object corresponding to the first link, the second selectable object corresponding to the second link, the third selectable object corresponding to the third link, and the fourth selectable object corresponding to the fourth link; receiving selection of the first, second, third, or fourth of the plurality of selectable objects; and utilizing the corresponding link to display a context cell corresponding to the first cell, wherein selection of a first of the plurality of selectable objects results in the computer utilizing the first link to select and display the causal context cell corresponding to the first cell, the display of the causal context cell including displaying a subject of the first cell as causing or influencing one or more subjects of other cells or as being caused or influenced by one or more subjects of other cells, wherein selection of a second of the plurality of selectable objects results in the computer utilizing the second link to select and display the inclusion context cell corresponding to the first cell, the display of the inclusion context cell including displaying the subject of the first cell within a category along with subjects of other cells included within the category, wherein selection of a third of the plurality of selectable objects results in the computer utilizing the third link to select and display the temporal context cell corresponding to the first cell, the display of the temporal context cell including displaying the subject of the first cell within a timeline along with subjects of other cells of relevance within the timeline, wherein selection of a fourth of the plurality of selectable objects results in the computer utilizing the fourth link to select and display the spatial context cell corresponding to the first cell, the display of the spatial context cell including displaying a location corresponding to the subject of the first cell within a map, and when the received selection is of the first of the plurality of selectable objects, the method further comprising receiving a command to alter the zoom of the display of the corresponding portion of the data of the first cell and the first set of other data and, in response to the zoom command, adding or removing subjects that served as a cause of or influence upon the subject of the first cell, or adding or removing subjects that were caused or influenced by the subject of the first cell. 27. The non-transitory computer-readable medium of claim 15 , wherein the instructions, when executed, cause the processing device to perform a method further comprising: maintaining counters for one or more of (a) access of a cell, (b) access of one cell from another cell, (c) access of a group of cells, and (d) use of a contextual relationship of a cell; and determining to include data from a cell within the corresponding context cell based upon one or more of the counters. | 0.53125 |
9,870,424 | 12 | 13 | 12. The system of claim 11 , said reputation determination being determined by actions performed by other persons relating to said person for whom a reputation determination is being made. | 12. The system of claim 11 , said reputation determination being determined by actions performed by other persons relating to said person for whom a reputation determination is being made. 13. The system of claim 12 , said actions being feedback. | 0.983076 |
8,538,972 | 1 | 6 | 1. A method performed by a data processing apparatus, the method comprising: selecting, by the data processing apparatus, object representations from a dataset storing a plurality of object representations, each object representation being an association of: an object identifier that identifies an object instance in a dataset and corresponds to an object; a context value that identifies a context of the object; and a set of feature values that identify features of the object; wherein each object identifier is unique in the dataset, and each context value is associated with one or more object identifiers; for each feature value: determining an inter-context score that is proportional to the number of different context values in the dataset that are associated with the feature value, wherein the inter-context score is a probability that a random pair of object representations that each include a particular feature value are each associated with different context values and is determined independent of inter-context scores of other feature values; and determining an intra-context score that is proportional to the number of times the feature value is associated with each context value, wherein the intra-context score is a probability that a random pair of object representations that each include the particular feature value are each associated with the same context value and is determined independent of intra-context scores of other feature values; and for a selected pair of object representations, determining a similarity score based on inter-context scores and intra-context scores of matching feature values in the set of features for the pair of object representations, the similarity score being a measure of the similarity of the object representations in the pair of object representations, the determining comprising generating a respective set of feature weights for the set of features of the selected pair of object representations, each feature weight in the respective set of feature weights corresponding to a respective feature and being determined from the inter-context score and intra-context score for the respective feature and further determined independent of the inter-context score and intra-context score for other respective features. | 1. A method performed by a data processing apparatus, the method comprising: selecting, by the data processing apparatus, object representations from a dataset storing a plurality of object representations, each object representation being an association of: an object identifier that identifies an object instance in a dataset and corresponds to an object; a context value that identifies a context of the object; and a set of feature values that identify features of the object; wherein each object identifier is unique in the dataset, and each context value is associated with one or more object identifiers; for each feature value: determining an inter-context score that is proportional to the number of different context values in the dataset that are associated with the feature value, wherein the inter-context score is a probability that a random pair of object representations that each include a particular feature value are each associated with different context values and is determined independent of inter-context scores of other feature values; and determining an intra-context score that is proportional to the number of times the feature value is associated with each context value, wherein the intra-context score is a probability that a random pair of object representations that each include the particular feature value are each associated with the same context value and is determined independent of intra-context scores of other feature values; and for a selected pair of object representations, determining a similarity score based on inter-context scores and intra-context scores of matching feature values in the set of features for the pair of object representations, the similarity score being a measure of the similarity of the object representations in the pair of object representations, the determining comprising generating a respective set of feature weights for the set of features of the selected pair of object representations, each feature weight in the respective set of feature weights corresponding to a respective feature and being determined from the inter-context score and intra-context score for the respective feature and further determined independent of the inter-context score and intra-context score for other respective features. 6. The method of claim 1 , wherein determining a similarity score comprises determining, for each feature value, a feature weight based on a ratio of the inter-context score of the feature value to the intra-context score of the feature value. | 0.830307 |
7,904,397 | 5 | 6 | 5. The method of claim 1 , wherein said at least one parameter comprises at least one of a current accuracy and an estimated final accuracy, said current accuracy indicating a calculated accuracy of said ensemble model at a current stage, said estimated final accuracy indicating a calculated estimated accuracy of said ensemble model if all of said subsets of data were to be processed. | 5. The method of claim 1 , wherein said at least one parameter comprises at least one of a current accuracy and an estimated final accuracy, said current accuracy indicating a calculated accuracy of said ensemble model at a current stage, said estimated final accuracy indicating a calculated estimated accuracy of said ensemble model if all of said subsets of data were to be processed. 6. The method of claim 5 , wherein each said example in said dataset carries at least one benefit and said accuracy comprises an overall accuracy that reflects an estimated total amount of reward from benefit values in said examples. | 0.912799 |
8,433,993 | 1 | 12 | 1. A method for rendering context aware multimedia content, comprising: identifying a plurality of multimedia content uploaded for rendering; examining the uploaded multimedia content to determine metadata associated with each of the plurality of multimedia content; identifying contextual information associated with the multimedia content from the metadata; performing a grouping of the multimedia content into a plurality of groups based on the contextual information; and integrating the one or more groups into one or more photo stories, wherein the one or more photo stories are defined as content rich documents for rendering the groups of multimedia content, wherein the integrating further includes identifying and integrating a theme for rendering each of the photo stories based on the contextual information of the multimedia content in the respective group, and integrating one or more of a timeline map, a minimap, one or more of other photo stories and other contextual map, the timeline map, minimap, other photo stories and contextual map configured to be rendered alongside the one or more photo stories and are interactive so as to provide additional information related to temporal, geographical, contextual and social aspect related to the one or more events captured within the multimedia content or the one or more photo stories. | 1. A method for rendering context aware multimedia content, comprising: identifying a plurality of multimedia content uploaded for rendering; examining the uploaded multimedia content to determine metadata associated with each of the plurality of multimedia content; identifying contextual information associated with the multimedia content from the metadata; performing a grouping of the multimedia content into a plurality of groups based on the contextual information; and integrating the one or more groups into one or more photo stories, wherein the one or more photo stories are defined as content rich documents for rendering the groups of multimedia content, wherein the integrating further includes identifying and integrating a theme for rendering each of the photo stories based on the contextual information of the multimedia content in the respective group, and integrating one or more of a timeline map, a minimap, one or more of other photo stories and other contextual map, the timeline map, minimap, other photo stories and contextual map configured to be rendered alongside the one or more photo stories and are interactive so as to provide additional information related to temporal, geographical, contextual and social aspect related to the one or more events captured within the multimedia content or the one or more photo stories. 12. The method of claim 1 , wherein integrating the one or more groups further includes providing permission to a group of users to access the multimedia content rendered in the photo stories, the permission based on status of a user within the group of users. | 0.839901 |
10,089,292 | 1 | 10 | 1. In a computing environment, a method for facilitating adding content to forms by providing field content suggestions using context determined based on form features, the method comprising: defining a plurality of form contexts, wherein the form contexts comprise a unique purpose, a circumstance, or a perspective of a representative form, and wherein each of the form contexts is defined by assigning to it a plurality of representative form features and by assigning a weighting to each of the representative form features, wherein the representative form features comprise non-text field characteristics, field labels, and other field-specific text characteristics; providing a user interface for display, the user interface displaying a form and providing editing features usable to add content to fillable fields of the form, each of the fillable fields identified by a field label; determining, by a processor, which of the plurality of form contexts to assign to a portion of the form by identifying form features found in the portion of the form, correlating the identified form features to the representative form features of each of the form contexts, and assigning to the portion of the form the form context having a highest degree of correlation, wherein the portion of the form comprises a plurality of the fillable fields of the form; identifying, by the processor and from the form context of the portion of the form, a field content suggestion for a fillable field within the portion of the form, the field content suggestion indicating content items selectable by a user to complete the fillable field; and providing, by the processor, the field content suggestion for the fillable field for display in the user interface. | 1. In a computing environment, a method for facilitating adding content to forms by providing field content suggestions using context determined based on form features, the method comprising: defining a plurality of form contexts, wherein the form contexts comprise a unique purpose, a circumstance, or a perspective of a representative form, and wherein each of the form contexts is defined by assigning to it a plurality of representative form features and by assigning a weighting to each of the representative form features, wherein the representative form features comprise non-text field characteristics, field labels, and other field-specific text characteristics; providing a user interface for display, the user interface displaying a form and providing editing features usable to add content to fillable fields of the form, each of the fillable fields identified by a field label; determining, by a processor, which of the plurality of form contexts to assign to a portion of the form by identifying form features found in the portion of the form, correlating the identified form features to the representative form features of each of the form contexts, and assigning to the portion of the form the form context having a highest degree of correlation, wherein the portion of the form comprises a plurality of the fillable fields of the form; identifying, by the processor and from the form context of the portion of the form, a field content suggestion for a fillable field within the portion of the form, the field content suggestion indicating content items selectable by a user to complete the fillable field; and providing, by the processor, the field content suggestion for the fillable field for display in the user interface. 10. The method of claim 1 , wherein: the field content suggestion for the fillable field within the portion of the form is identified based on the form context of the portion of the form being associated with an identity of a user adding content to the form; and another field content suggestion for another fillable field in a second portion of the form is identified based on a second context of the second portion of the form being associated with an identity other than the identity of the user adding content to the form. | 0.500949 |
6,081,665 | 62 | 65 | 62. The RTVMM of claim 1 wherein each object has a "lock" field initialized to a "null" value, the implementing step comprising the steps: causing a "hashlock object" for each object needing either a lock or a hash value to be allocated memory space and initialized, the "hashlock object" having a "hash value" field; causing the address of the "hashlock object" to be written into the "lock" field of the object; causing the hash value of an object to be retrieved by reading the "hash value" field of the associated "hashlock object". | 62. The RTVMM of claim 1 wherein each object has a "lock" field initialized to a "null" value, the implementing step comprising the steps: causing a "hashlock object" for each object needing either a lock or a hash value to be allocated memory space and initialized, the "hashlock object" having a "hash value" field; causing the address of the "hashlock object" to be written into the "lock" field of the object; causing the hash value of an object to be retrieved by reading the "hash value" field of the associated "hashlock object". 65. The RTVMM of claim 62 wherein threads are assigned priorities and a higher-priority thread's access to an object is being blocked by a lower-priority thread, the implementing step comprising the step: causing the priority of the higher-priority thread to be assigned to the lower-priority thread until the lower-priority thread releases its lock on the object. | 0.908635 |
9,485,097 | 1 | 6 | 1. An electronic pen device configured to be used with a remote secure server for registering handwritten signatures, said remote secure server comprising an authentication database storing authentication information in connection with pre-registered users and a signature registration database for registering handwritten signatures, the electronic pen device comprising: a body in the form of a pen enclosing an input/output (I/O) interface; a memory; a tip and a sensor connected thereto for capturing handwritten signatures; a network interface configured to be connected to a data network, and a processing unit connected to said I/O interface, to said sensor, to said memory and to said network interface; where said electronic pen device is configured to: establish a remote data communication with the remote secure server via the data network and a communication with a user desiring to sign a document via the I/O interface for approving a content of the document; obtain personal identification information from the user via the I/O interface; authenticate said user by inquiring said remote secure server if the user is an authentic pre-registered user among the pre-registered users, said authentication comprising determining if there is a match between the personal identification information specified by the user and the authentication information stored in the remote secure server in connection with the user; receive a notification of successful or unsuccessful authentication from the remote secure server via the data network based on the match determination; receive a request from the user to sign a document; reject said request from the user to sign a document in case of receipt of a notification of unsuccessful authentication from the remote secure server; accept said request from the user to sign a document only if and subsequent to a receipt of a notification of successful authentication by the electronic pen device from the remote secure server, said acceptance comprising transmitting a handwritten signature handwritten by said user in association with the document handwritten signature, approving the content of the document, from the electronic pen device to the remote secure server for storage inside the signature registration database; subsequent to the storage of the handwritten signature in the remote secure server, receive from the remote secure server via the data network and communicate to the user via the I/O interface a unique signature identifier generated by the remote secure server and stored inside the signature registration database in connection with the stored handwritten signature, wherein said unique signature identifier is sent to the user by the electronic pen device for association with the document that has been signed and wherein said unique signature identifier is for the purpose of indication on the document together with the handwritten signature for use as a reference during future authentication of said document comprising determining if there is an exact match between the signature stored in the remote secure server and the signature appearing on said document. | 1. An electronic pen device configured to be used with a remote secure server for registering handwritten signatures, said remote secure server comprising an authentication database storing authentication information in connection with pre-registered users and a signature registration database for registering handwritten signatures, the electronic pen device comprising: a body in the form of a pen enclosing an input/output (I/O) interface; a memory; a tip and a sensor connected thereto for capturing handwritten signatures; a network interface configured to be connected to a data network, and a processing unit connected to said I/O interface, to said sensor, to said memory and to said network interface; where said electronic pen device is configured to: establish a remote data communication with the remote secure server via the data network and a communication with a user desiring to sign a document via the I/O interface for approving a content of the document; obtain personal identification information from the user via the I/O interface; authenticate said user by inquiring said remote secure server if the user is an authentic pre-registered user among the pre-registered users, said authentication comprising determining if there is a match between the personal identification information specified by the user and the authentication information stored in the remote secure server in connection with the user; receive a notification of successful or unsuccessful authentication from the remote secure server via the data network based on the match determination; receive a request from the user to sign a document; reject said request from the user to sign a document in case of receipt of a notification of unsuccessful authentication from the remote secure server; accept said request from the user to sign a document only if and subsequent to a receipt of a notification of successful authentication by the electronic pen device from the remote secure server, said acceptance comprising transmitting a handwritten signature handwritten by said user in association with the document handwritten signature, approving the content of the document, from the electronic pen device to the remote secure server for storage inside the signature registration database; subsequent to the storage of the handwritten signature in the remote secure server, receive from the remote secure server via the data network and communicate to the user via the I/O interface a unique signature identifier generated by the remote secure server and stored inside the signature registration database in connection with the stored handwritten signature, wherein said unique signature identifier is sent to the user by the electronic pen device for association with the document that has been signed and wherein said unique signature identifier is for the purpose of indication on the document together with the handwritten signature for use as a reference during future authentication of said document comprising determining if there is an exact match between the signature stored in the remote secure server and the signature appearing on said document. 6. The electronic pen device as claimed in claim 1 , wherein said unique signature identifier is generated by said remote secure server and is transmitted to said electronic pen device via said data network. | 0.835191 |
8,886,619 | 11 | 17 | 11. A diabetes management application residing on a portable computing device, comprising: a structured test module operable to administer a given structured collection procedure to the user of the portable computing device, where the given structured collection procedure specifies one or more collection events for obtaining blood glucose measures for a patient; a logbook configured to store data entries related to diabetes care of the patient, the logbook implemented in a data store on the portable computing device; an input module configured to present a given data entry to the user on a display of the portable computing device and receive modifications to values of the given data entry from the user, where the given data entry is retrieved from the logbook and includes a blood glucose measure and a time at which the blood glucose measure was taken, a membership rule set that defines rules for associating data entries received from the user with structured collection procedures including adherence of date and time and adherence to a previous data entry, where the membership rule set is stored in a data store on the portable computing device; and a membership module configured to receive the modified given data entry from the input module and evaluate the modified given data entry in relation to the given structured collection procedure using the membership rule set, where the input module, the structured test module and the membership module are executed by a computer processor residing on the portable computing device. | 11. A diabetes management application residing on a portable computing device, comprising: a structured test module operable to administer a given structured collection procedure to the user of the portable computing device, where the given structured collection procedure specifies one or more collection events for obtaining blood glucose measures for a patient; a logbook configured to store data entries related to diabetes care of the patient, the logbook implemented in a data store on the portable computing device; an input module configured to present a given data entry to the user on a display of the portable computing device and receive modifications to values of the given data entry from the user, where the given data entry is retrieved from the logbook and includes a blood glucose measure and a time at which the blood glucose measure was taken, a membership rule set that defines rules for associating data entries received from the user with structured collection procedures including adherence of date and time and adherence to a previous data entry, where the membership rule set is stored in a data store on the portable computing device; and a membership module configured to receive the modified given data entry from the input module and evaluate the modified given data entry in relation to the given structured collection procedure using the membership rule set, where the input module, the structured test module and the membership module are executed by a computer processor residing on the portable computing device. 17. The diabetes management module of claim 11 wherein the given structured collection procedure specifies a plurality of predefined time slots for obtaining blood glucose measures throughout the course of a given day; and the membership module analyzes the data entry in relation to the plurality of predefined time slots for the structure collection procedure. | 0.690068 |
4,632,578 | 3 | 4 | 3. The method of claim 2 wherein the first substep of comparing the record against the dictionary comprises the step of identifying the absolutes in the computer readable record for defining said first level pointers, and wherein said second step of combining strokes and comparing comprises: locating the first sequence of one or more non-absolute shorthand strokes in the computer readable record following each first level pointer, which has an and unambiguous match with the dictionary, each such match defining the next level pointers, and wherein each third step of repeating further comprises: repeating step (2) for each defined next level pointer in place of said first level pointer until comparison between non-absolute shorthand strokes in the computer readable record and the dictionary results in the definition of no further pointers, each pointer defining a portion of the computer readable record having a unique text translation. | 3. The method of claim 2 wherein the first substep of comparing the record against the dictionary comprises the step of identifying the absolutes in the computer readable record for defining said first level pointers, and wherein said second step of combining strokes and comparing comprises: locating the first sequence of one or more non-absolute shorthand strokes in the computer readable record following each first level pointer, which has an and unambiguous match with the dictionary, each such match defining the next level pointers, and wherein each third step of repeating further comprises: repeating step (2) for each defined next level pointer in place of said first level pointer until comparison between non-absolute shorthand strokes in the computer readable record and the dictionary results in the definition of no further pointers, each pointer defining a portion of the computer readable record having a unique text translation. 4. A method as defined in claim 3 wherein the step of transmitting the encoded record to a computerized typesetter further includes the step of editing said encoded record. | 0.933642 |
8,630,992 | 10 | 13 | 10. The system as recited in claim 8 , wherein: the processor is a first processor, the system further comprises a second processor in communication with the first processor, and wherein: the first processor is effective to send the search query to the data center; send the search query to the second processor; determine a first rank of the URL in the first result set for the search query; the second processor is effective to receive the search query from the first processor; send the search query to the data center; receive the second result set from the data center; determine a second rank of the URL in the second result set for the search query; and one of the first and second processors are effective to determine the third rank and the variability of the third rank based on the first and second rank. | 10. The system as recited in claim 8 , wherein: the processor is a first processor, the system further comprises a second processor in communication with the first processor, and wherein: the first processor is effective to send the search query to the data center; send the search query to the second processor; determine a first rank of the URL in the first result set for the search query; the second processor is effective to receive the search query from the first processor; send the search query to the data center; receive the second result set from the data center; determine a second rank of the URL in the second result set for the search query; and one of the first and second processors are effective to determine the third rank and the variability of the third rank based on the first and second rank. 13. The system as recited in claim 10 , wherein the second processor is further effective to: determine a prior search query; and prior to being effective to send the search query to the data center, send the prior search query to the data center. | 0.866775 |
9,529,863 | 22 | 25 | 22. A network computer for ingesting data for a data model, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and a processor device that executes instructions that perform actions, including: providing one or more raw data sets to an ingestion engine, wherein each raw data set includes one or more raw records; providing one or more ingestion rules associated with one or more confidence scores and one or more known data sets based on a type of the one or more raw records; employing the ingestion engine to iteratively execute the one or more ingestion rules, performing further actions, including: providing a comparison of one or more portions of the one or more raw records to the one or more known data sets; transforming contents of the one or more raw records into one or more model record values based on the comparison to the one or more known data sets; storing the one or more model record values in one or more model records; providing a score value that indicates a confidence level that the one or more model records are correct based at least on the one or more confidence scores; storing an association of the one or more ingestion rules used to transform the raw record contents into the model record values stored in the one or more model records; when the score value that indicates the confidence level of the one or more model records is less than a threshold value, performing further actions, including: providing a user-interface to interactively edit the one or more raw records or the one or more ingestion rules, wherein the edited one or more ingestion rules produce an increase change or a decrease change in the one or more confidence scores, wherein the one or more changed confidence scores are employed to provide the score value; and storing the one or more model records in a data store, wherein the one or more model records are added to the data model. | 22. A network computer for ingesting data for a data model, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and a processor device that executes instructions that perform actions, including: providing one or more raw data sets to an ingestion engine, wherein each raw data set includes one or more raw records; providing one or more ingestion rules associated with one or more confidence scores and one or more known data sets based on a type of the one or more raw records; employing the ingestion engine to iteratively execute the one or more ingestion rules, performing further actions, including: providing a comparison of one or more portions of the one or more raw records to the one or more known data sets; transforming contents of the one or more raw records into one or more model record values based on the comparison to the one or more known data sets; storing the one or more model record values in one or more model records; providing a score value that indicates a confidence level that the one or more model records are correct based at least on the one or more confidence scores; storing an association of the one or more ingestion rules used to transform the raw record contents into the model record values stored in the one or more model records; when the score value that indicates the confidence level of the one or more model records is less than a threshold value, performing further actions, including: providing a user-interface to interactively edit the one or more raw records or the one or more ingestion rules, wherein the edited one or more ingestion rules produce an increase change or a decrease change in the one or more confidence scores, wherein the one or more changed confidence scores are employed to provide the score value; and storing the one or more model records in a data store, wherein the one or more model records are added to the data model. 25. The network computer of claim 22 , wherein providing the comparison of the one or more portions of the one or more raw records to the one or more known data sets further comprises, communicating the one or more portions of the one or more raw records to an external service to perform the comparison. | 0.82305 |
8,762,939 | 3 | 4 | 3. The method of claim 1 , wherein the statistical information for a node is displayed adjacent the node within a display of the application flow. | 3. The method of claim 1 , wherein the statistical information for a node is displayed adjacent the node within a display of the application flow. 4. The method of claim 3 , wherein the statistical information is displayed as a color-coded meter. | 0.977852 |
7,660,740 | 17 | 23 | 17. A method to facilitate network-based commerce, the method including: generating a map file storing a first plurality of records, the first plurality of records respectively storing summarizing information for a first plurality of offerings, the first plurality of offerings including a second plurality of offerings, the first plurality of records including a second plurality of records, the second plurality of records respectively storing summarizing information for the second plurality of offerings, the second plurality of records grouped to facilitate a reduction in processing to retrieve the second plurality of records, the generating being performed by a server machine of a network-based commerce facility; retrieving the second plurality of records from the map file responsive to receiving a request from a user, the second plurality of records respectively associated with the second plurality of offerings including an offering, the retrieving including determining that the offering is available in a particular geographic region, the offering being presented for sale via the network-based commerce facility; and displaying information concerning the offering to a user associated with the particular geographic region, the displaying of the information concerning the offering including displaying a listing currency in conjunction with a native currency. | 17. A method to facilitate network-based commerce, the method including: generating a map file storing a first plurality of records, the first plurality of records respectively storing summarizing information for a first plurality of offerings, the first plurality of offerings including a second plurality of offerings, the first plurality of records including a second plurality of records, the second plurality of records respectively storing summarizing information for the second plurality of offerings, the second plurality of records grouped to facilitate a reduction in processing to retrieve the second plurality of records, the generating being performed by a server machine of a network-based commerce facility; retrieving the second plurality of records from the map file responsive to receiving a request from a user, the second plurality of records respectively associated with the second plurality of offerings including an offering, the retrieving including determining that the offering is available in a particular geographic region, the offering being presented for sale via the network-based commerce facility; and displaying information concerning the offering to a user associated with the particular geographic region, the displaying of the information concerning the offering including displaying a listing currency in conjunction with a native currency. 23. The method of claim 17 wherein the offering is presented for sale via the network-based commerce facility utilizing any one of a group of transaction processes, including a fixed-price transaction process and an auction transaction process. | 0.860092 |
8,296,363 | 9 | 10 | 9. The discussion support apparatus according to claim 3 , further comprising: a related-screen display unit, wherein after the user interface accepts the discussion start operation, the processor controls the related-screen display output unit to display a screen related to any of the plural pieces of discussion state information that are different from the first discussion state information and the second discussion state information indicated by the topic-related information at points in time before the operation point in time when the user interface accepts the discussion start operation. | 9. The discussion support apparatus according to claim 3 , further comprising: a related-screen display unit, wherein after the user interface accepts the discussion start operation, the processor controls the related-screen display output unit to display a screen related to any of the plural pieces of discussion state information that are different from the first discussion state information and the second discussion state information indicated by the topic-related information at points in time before the operation point in time when the user interface accepts the discussion start operation. 10. The discussion support apparatus according to claim 9 , wherein the screen displayed by the related-screen display unit is related to discussion state information at a latest point in time among the plural pieces of discussion state information, which are different from the first discussion state information and the second discussion state information indicated by the topic-related information at the points in time before the operation point in time when the user interface accepts the discussion start operation. | 0.902031 |
7,873,745 | 1 | 2 | 1. A method for message version management in a distributed computing environment including a plurality of nodes, comprising: receiving at least one translation vector by a processor in at least one additional node of the plurality of nodes from a first node, the at least one translation vector providing information for the at least one additional node to translate between multiple message versions; translating a message between versions according to the at least one translation vector to generate a translated message; and forwarding the translated message to an application program. | 1. A method for message version management in a distributed computing environment including a plurality of nodes, comprising: receiving at least one translation vector by a processor in at least one additional node of the plurality of nodes from a first node, the at least one translation vector providing information for the at least one additional node to translate between multiple message versions; translating a message between versions according to the at least one translation vector to generate a translated message; and forwarding the translated message to an application program. 2. The method of claim 1 , further including storing the at least one translation vector on the at least one additional node for future use. | 0.899281 |
8,321,414 | 8 | 10 | 8. A non-transitory computer readable storage medium storing a computer program having a set of instructions which, when executed by a computer apparatus, cause the computer apparatus to perform a method of producing a set of tags for an input audiovisual file, the set of tags indicating values of attributes of an audiovisual work of defined type represented by said audiovisual file, the method comprising the steps of: issuing, to a user, a prompt for manual assignment of tags to said input audiovisual file; inputting, as an initial estimate of the values of the respective attributes of the audiovisual work represented by said audiovisual file, data representative of the tags assigned to said input audiovisual file by the user in response to said prompt; automatically applying a set of one or more correlation functions to the attribute-value estimates of said initial estimate, to produce a set of revised estimates; assigning a respective confidence measure to each attribute value of said revised estimates; and outputting the final result of the applying step as the set of tags for said input audiovisual file; wherein the correlation functions applied in said applying step are functions embodying the correlations holding between known attribute-values of a set of training examples, said training examples being audiovisual works of said defined type corresponding to manually-tagged audiovisual files, and wherein the correlation-function application step is applied iteratively, said correlation functions are applied only to attribute-values estimates associated with a confidence measure whose value exceeds a threshold, and said confidence measure is set to a maximum value for attribute values provided by the user as the initial estimate to ensure that said attribute values provided by the user as the initial estimate are not changed. | 8. A non-transitory computer readable storage medium storing a computer program having a set of instructions which, when executed by a computer apparatus, cause the computer apparatus to perform a method of producing a set of tags for an input audiovisual file, the set of tags indicating values of attributes of an audiovisual work of defined type represented by said audiovisual file, the method comprising the steps of: issuing, to a user, a prompt for manual assignment of tags to said input audiovisual file; inputting, as an initial estimate of the values of the respective attributes of the audiovisual work represented by said audiovisual file, data representative of the tags assigned to said input audiovisual file by the user in response to said prompt; automatically applying a set of one or more correlation functions to the attribute-value estimates of said initial estimate, to produce a set of revised estimates; assigning a respective confidence measure to each attribute value of said revised estimates; and outputting the final result of the applying step as the set of tags for said input audiovisual file; wherein the correlation functions applied in said applying step are functions embodying the correlations holding between known attribute-values of a set of training examples, said training examples being audiovisual works of said defined type corresponding to manually-tagged audiovisual files, and wherein the correlation-function application step is applied iteratively, said correlation functions are applied only to attribute-values estimates associated with a confidence measure whose value exceeds a threshold, and said confidence measure is set to a maximum value for attribute values provided by the user as the initial estimate to ensure that said attribute values provided by the user as the initial estimate are not changed. 10. The computer readable medium according to claim 8 , wherein said prompt-issuing step comprises issuing a prompt to said user when the user acquires said audiovisual file. | 0.887887 |
8,533,594 | 8 | 11 | 8. A computer-readable storage medium containing a program which, when executed, performs an operation for configuring an application based on a workflow history of an electronic document, the operation comprising: accessing a plurality of data objects stored in a memory, wherein each data object stores information related to a different event generated by an application that is configured to modify the document; generating a timeline object that includes one or more tracks of information, wherein a first track of information includes at least a first marker object that is associated with a first data object of the plurality of data objects; displaying the timeline object in a graphical user interface associated with the application; dividing the document into n x m cells, wherein each cell represents two or more pixels of the document; adding to a slot in an n x m array a first pointer to the first data object, wherein the n x m array associates the first data object with at least a first cell that was changed in the document as a result of a first event generated by the application; receiving a selection of the first marker object included in the timeline object; and configuring the application based on the information in the first data object associated with the first marker object. | 8. A computer-readable storage medium containing a program which, when executed, performs an operation for configuring an application based on a workflow history of an electronic document, the operation comprising: accessing a plurality of data objects stored in a memory, wherein each data object stores information related to a different event generated by an application that is configured to modify the document; generating a timeline object that includes one or more tracks of information, wherein a first track of information includes at least a first marker object that is associated with a first data object of the plurality of data objects; displaying the timeline object in a graphical user interface associated with the application; dividing the document into n x m cells, wherein each cell represents two or more pixels of the document; adding to a slot in an n x m array a first pointer to the first data object, wherein the n x m array associates the first data object with at least a first cell that was changed in the document as a result of a first event generated by the application; receiving a selection of the first marker object included in the timeline object; and configuring the application based on the information in the first data object associated with the first marker object. 11. The computer-readable storage medium of claim 8 , the operation further comprising: capturing a plurality of frames of video data, wherein each frame of the video data corresponds to a screenshot of an application window associated with the application; causing the video data to be displayed in a video playback window that is overlaid on top of the application window; and playing back at least a portion of the video data based on a position of a timeline marker in the timeline object. | 0.501012 |
8,478,593 | 14 | 19 | 14. A computer-readable medium having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: comparing received speech with a precompiled grammar to yield a match result, wherein the precompiled grammar is based on a database; and when the match result is below a threshold, comparing the received speech with a dynamically compiled grammar that is based only on new data added to the database after the precompiled grammar is compiled. | 14. A computer-readable medium having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: comparing received speech with a precompiled grammar to yield a match result, wherein the precompiled grammar is based on a database; and when the match result is below a threshold, comparing the received speech with a dynamically compiled grammar that is based only on new data added to the database after the precompiled grammar is compiled. 19. The computer-readable medium of claim 14 , wherein the new grammar comprises updated data from the database. | 0.805556 |
8,539,463 | 38 | 40 | 38. A non-transitory, tangible computer readable storage medium, encoded with processor readable instructions to perform a method for processing source code, the method comprising: receiving source code; parsing the source code to obtain a high level intermediate representation of the source code; detecting, in the high level intermediate representation of the source code, high level constructs in the high level intermediate representation of the source code that satisfy constraints for parallel-merging high level constructs; and parallel-merging the high level constructs to generate new high level parallel-merged constructs in a modified high level intermediate representation of the source code that enable runtime operations of the high level constructs to execute in parallel using executable code generated from the modified high level intermediate representation; and executing, if the parallel execution of the runtime operations causes an error, executable code generated from unmodified representations of the high level constructs so the runtime operations of the high level constructs execute sequentially during runtime. | 38. A non-transitory, tangible computer readable storage medium, encoded with processor readable instructions to perform a method for processing source code, the method comprising: receiving source code; parsing the source code to obtain a high level intermediate representation of the source code; detecting, in the high level intermediate representation of the source code, high level constructs in the high level intermediate representation of the source code that satisfy constraints for parallel-merging high level constructs; and parallel-merging the high level constructs to generate new high level parallel-merged constructs in a modified high level intermediate representation of the source code that enable runtime operations of the high level constructs to execute in parallel using executable code generated from the modified high level intermediate representation; and executing, if the parallel execution of the runtime operations causes an error, executable code generated from unmodified representations of the high level constructs so the runtime operations of the high level constructs execute sequentially during runtime. 40. The non-transitory, tangible computer readable storage medium of claim 38 , wherein the constraints for parallel-merging high level constructs includes determining that the high level constructs would ordinarily consecutively execute, after being lowered into executable code, as control flow paths that are equivalent in structure and function, and execution traces through the control flow paths in a control flow region of each of the lowered constructs are the same. | 0.501053 |
8,782,056 | 11 | 12 | 11. An apparatus for facilitating information searching for a user of an electronic device, comprising: employing a hardware processor coupled with: an extractor configured to: place metadata for currently accessed multimedia data in a program wide memory window, wherein the metadata is received via a stream; keep a set of most recently received pieces of metadata from the stream in a most recent memory window distinct from the program wide memory window; extract keywords from the pieces of metadata stored in the program wide memory window and the most recent memory window; a collector configured to: weight the extracted keywords, wherein keywords contained both in the most recent memory window and the program wide memory window are given greater weight than keywords contained only in the program wide memory window; a facilitator configured to: present the weighted extracted keywords to the user for selection, wherein keywords with greater weight are displayed more prominently than those keywords having lesser weight; receive a selection of one or more keywords from the presented weighted extracted keywords; perform a search using a search query that is based on the selected one or more keywords; and cause search results from the search to be displayed to the user. | 11. An apparatus for facilitating information searching for a user of an electronic device, comprising: employing a hardware processor coupled with: an extractor configured to: place metadata for currently accessed multimedia data in a program wide memory window, wherein the metadata is received via a stream; keep a set of most recently received pieces of metadata from the stream in a most recent memory window distinct from the program wide memory window; extract keywords from the pieces of metadata stored in the program wide memory window and the most recent memory window; a collector configured to: weight the extracted keywords, wherein keywords contained both in the most recent memory window and the program wide memory window are given greater weight than keywords contained only in the program wide memory window; a facilitator configured to: present the weighted extracted keywords to the user for selection, wherein keywords with greater weight are displayed more prominently than those keywords having lesser weight; receive a selection of one or more keywords from the presented weighted extracted keywords; perform a search using a search query that is based on the selected one or more keywords; and cause search results from the search to be displayed to the user. 12. The apparatus of claim 11 , wherein the device comprises a consumer electronics device. | 0.785377 |
9,330,090 | 2 | 3 | 2. The method recited in claim 1 , comprising presenting the programs in association with the spreadsheet document. | 2. The method recited in claim 1 , comprising presenting the programs in association with the spreadsheet document. 3. The method recited in claim 2 , comprising presenting an explanation of each of the programs in association with the potential expression. | 0.950734 |
9,405,375 | 1 | 2 | 1. A method for recognizing a gesture of a gesture object in a plurality of recorded data objects, the recorded data objects being recorded over time, the method comprising: determining at least one set of gesture angles using the plurality of recorded data objects, wherein each of the gesture angles in the at least one set of gesture angles comprises an angle measurement between two positions of the gesture object, the two positions recorded in successive data objects of the plurality of recorded data objects, wherein the at least one set of gesture angles further comprises a first subset of gesture angles and a second subset of gesture angles; determining a first histogram representing a frequency of angles based on the first subset of gesture angles and a second histogram representing a frequency of angles based on the second subset of gesture angles; recognizing the gesture based on a comparison of the first histogram and the second histogram to a respective first model histogram and second model histogram, each model histogram representing a frequency of angles of a subdivision of gestures of a gesture model; and modifying a behavior of the device in response to the recognizing the gesture. | 1. A method for recognizing a gesture of a gesture object in a plurality of recorded data objects, the recorded data objects being recorded over time, the method comprising: determining at least one set of gesture angles using the plurality of recorded data objects, wherein each of the gesture angles in the at least one set of gesture angles comprises an angle measurement between two positions of the gesture object, the two positions recorded in successive data objects of the plurality of recorded data objects, wherein the at least one set of gesture angles further comprises a first subset of gesture angles and a second subset of gesture angles; determining a first histogram representing a frequency of angles based on the first subset of gesture angles and a second histogram representing a frequency of angles based on the second subset of gesture angles; recognizing the gesture based on a comparison of the first histogram and the second histogram to a respective first model histogram and second model histogram, each model histogram representing a frequency of angles of a subdivision of gestures of a gesture model; and modifying a behavior of the device in response to the recognizing the gesture. 2. The method of claim 1 , wherein the first subset of gesture angles and the second subset of gesture angles are time-ordered; and the recognizing the gesture includes comparing the first subset of gesture angles and the second subset of gesture angles to a respective subdivision of the gesture model. | 0.63494 |
8,276,056 | 14 | 15 | 14. The device of claim 8 , wherein the binary format of scene description graph interpreter further comprises: a script node; an interpreter programmer interface connected to the script node; and a scripting interface. | 14. The device of claim 8 , wherein the binary format of scene description graph interpreter further comprises: a script node; an interpreter programmer interface connected to the script node; and a scripting interface. 15. The device of claim 14 , wherein the media decoders, compositor and renderer further comprise: a video object decoder connected to the video object programmer interface; an audio object decoder connected to the audio object programmer interface; an image object decoder connected to the image object programmer interface; a native proto implementation connected to the native proto programmer interface; a JavaScript interpreter connected to the interpreter programmer interface; a Java interpreter connected to the interpreter programmer interface; and a scene compositor connected to each of the scripting interface, the native proto implementation, the video object decoder, the audio object decoder, and the image object decoder. | 0.75135 |
9,342,602 | 16 | 17 | 16. One or more non-transitory computer-readable media storing instructions which, when processed by one or more computing devices, cause: identifying a context vector representative of a portion of a web page open within a content presentation application executing on a client device, wherein the context vector includes a plurality of terms appearing in the portion of the web page open within the content presentation application executing on the client device; identifying one or more query suggestions based on the identified context vector representative of a portion of a web page open within a content presentation application executing on a client device by: identifying a plurality of prior user queries, and identifying as the one or more query suggestions, from the plurality of prior user queries, one or more most frequent prior user queries that include one or more terms from the identified context vector; responsive to user input in a search interface at the client device, causing display of the one or more query suggestions; receiving a selection of a particular query from the one or more query suggestions; causing display of a search result for the particular query. | 16. One or more non-transitory computer-readable media storing instructions which, when processed by one or more computing devices, cause: identifying a context vector representative of a portion of a web page open within a content presentation application executing on a client device, wherein the context vector includes a plurality of terms appearing in the portion of the web page open within the content presentation application executing on the client device; identifying one or more query suggestions based on the identified context vector representative of a portion of a web page open within a content presentation application executing on a client device by: identifying a plurality of prior user queries, and identifying as the one or more query suggestions, from the plurality of prior user queries, one or more most frequent prior user queries that include one or more terms from the identified context vector; responsive to user input in a search interface at the client device, causing display of the one or more query suggestions; receiving a selection of a particular query from the one or more query suggestions; causing display of a search result for the particular query. 17. The one or more non-transitory computer-readable media of claim 16 , wherein the user input comprises a first number of characters; wherein identifying the one or more query suggestions is based on the first number of characters; and wherein at least one of the one or more query suggestions begins with the first number of characters. | 0.614773 |
9,443,014 | 7 | 8 | 7. The system of claim 6 , where the one or more features of the search query include at least one of: a term in the search query, a natural language of the search query, a time at which the search query was submitted, or a location from which the search query was submitted. | 7. The system of claim 6 , where the one or more features of the search query include at least one of: a term in the search query, a natural language of the search query, a time at which the search query was submitted, or a location from which the search query was submitted. 8. The system of claim 7 , where the one or more features of the search query include a location from which the search query was submitted, and the location is a geographical location. | 0.937029 |
8,533,480 | 6 | 9 | 6. A computer readable storage device storing a computer program which when executed by a processor causes the processor to perform a method comprising: receiving an electronic document including content items, a rule and a digital signature, wherein the rule specifies what parts of the electronic document are allowed to change based on user interaction with the electronic document; generating a digest for the electronic document by digesting all of the content items, using multiple functions based upon complexity of the content items, except for at least a first content item that is ignored in the digestion based on the rule; comparing the generated digest with a stored digest that is associated with the electronic document; and invalidating the digital signature if the generated digest indicates a difference in any of the digested content items, wherein if the generated digest indicates no difference in any of the digested content items, the method further comprises: subsequently receiving a user input attempting to create a new state of the received electronic document; determining whether the user input is allowed by the rule; and invalidating the digital signature if the user input is not allowed by the rule, and wherein the rule applies differently to a first author and a second author, such that the user input causes a first digital signature of the first author to be invalidated but does not cause a second digital signature of the second author to be invalidated. | 6. A computer readable storage device storing a computer program which when executed by a processor causes the processor to perform a method comprising: receiving an electronic document including content items, a rule and a digital signature, wherein the rule specifies what parts of the electronic document are allowed to change based on user interaction with the electronic document; generating a digest for the electronic document by digesting all of the content items, using multiple functions based upon complexity of the content items, except for at least a first content item that is ignored in the digestion based on the rule; comparing the generated digest with a stored digest that is associated with the electronic document; and invalidating the digital signature if the generated digest indicates a difference in any of the digested content items, wherein if the generated digest indicates no difference in any of the digested content items, the method further comprises: subsequently receiving a user input attempting to create a new state of the received electronic document; determining whether the user input is allowed by the rule; and invalidating the digital signature if the user input is not allowed by the rule, and wherein the rule applies differently to a first author and a second author, such that the user input causes a first digital signature of the first author to be invalidated but does not cause a second digital signature of the second author to be invalidated. 9. The computer readable storage device of claim 6 , wherein the first content item is ignored in the digestion based on having a content item type specified by the rule. | 0.819533 |
8,108,883 | 50 | 56 | 50. The method of claim 47 further comprising: selecting a second digital file having a second digital data content, using said information management software application, before said step of opening said first base format document using said third-party document generation application on said computer-based platform; and dragging and dropping said selected second digital file into a displayed second data holder location defined by said first document layout of said first base format document, using said information management software application, such that said second data holder location of said first base format document is populated with said second digital data content before said step of opening said first base format document using said third-party document generation application on said computer-based platform. | 50. The method of claim 47 further comprising: selecting a second digital file having a second digital data content, using said information management software application, before said step of opening said first base format document using said third-party document generation application on said computer-based platform; and dragging and dropping said selected second digital file into a displayed second data holder location defined by said first document layout of said first base format document, using said information management software application, such that said second data holder location of said first base format document is populated with said second digital data content before said step of opening said first base format document using said third-party document generation application on said computer-based platform. 56. The method of claim 50 wherein said second digital file comprises a text file and said second digital data content comprises text. | 0.951902 |
9,491,245 | 11 | 16 | 11. A non-transitory machine-readable medium having instructions stored thereon for execution by a processor to perform a method comprising: receiving Simple Network Management Protocol (SNMP) data, the SNMP data associated with a VoiP device; marking up the SNMP data based on an eXtensible Markup Language (XML) schema to create a first XML result; converting the first XML result to a second XML result based on an eXtensible Style sheet Language Transformation (XSLT) template, the converting including, for each of one or more port numbers, loop operations for listing media access control (MAC) addresses for the port number, including: listing a first MAC address; determining whether all MAC addresses have been listed; and if it is determined that all MAC address have not been listed, listing a next MAC address, and repeating the determining and the listing of the next MAC address until it is determined that all MAC addresses have been listed; and outputting the second XML result in a predetermined format, the predetermined format specifying a particular format for associating a port number attribute with one or more MAC address attributes. | 11. A non-transitory machine-readable medium having instructions stored thereon for execution by a processor to perform a method comprising: receiving Simple Network Management Protocol (SNMP) data, the SNMP data associated with a VoiP device; marking up the SNMP data based on an eXtensible Markup Language (XML) schema to create a first XML result; converting the first XML result to a second XML result based on an eXtensible Style sheet Language Transformation (XSLT) template, the converting including, for each of one or more port numbers, loop operations for listing media access control (MAC) addresses for the port number, including: listing a first MAC address; determining whether all MAC addresses have been listed; and if it is determined that all MAC address have not been listed, listing a next MAC address, and repeating the determining and the listing of the next MAC address until it is determined that all MAC addresses have been listed; and outputting the second XML result in a predetermined format, the predetermined format specifying a particular format for associating a port number attribute with one or more MAC address attributes. 16. The non-transitory machine-readable medium of claim 11 , wherein specifying further comprises specifying a phone number, a voice quality, or a phone status associated with the VoiP device instead of the MAC address. | 0.851626 |
6,105,026 | 21 | 22 | 21. The computer readable medium of claim 20, said sequences of instructions further including instructions for performing the steps of: acquiring a second lock on said body of metadata associated with said one or more partitions; updating said body of metadata; and releasing said second lock on said body of metadata. | 21. The computer readable medium of claim 20, said sequences of instructions further including instructions for performing the steps of: acquiring a second lock on said body of metadata associated with said one or more partitions; updating said body of metadata; and releasing said second lock on said body of metadata. 22. The computer readable medium of claim 21, wherein: said step of acquiring said second lock on said body of metadata comprises the step of acquiring an exclusive data dictionary lock on a subset of said body of metadata; and said step of releasing said second lock on said body of metadata comprises the step of releasing said exclusive data dictionary lock on said subset of said body of metadata. | 0.769275 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.