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
0.99
|
|---|---|---|---|---|---|
6,167,411 | 26 | 27 |
26. An apparatus in accordance with claim 16, wherein said receiving means comprises means for receiving at least one edited pre-existing character in the handwriting capture widget.
|
26. An apparatus in accordance with claim 16, wherein said receiving means comprises means for receiving at least one edited pre-existing character in the handwriting capture widget. 27. An apparatus in accordance with claim 26, further comprising: means for receiving a user selection of a current data entry on the display screen; means for displaying in each of the text entry widgets pre-existing characters from the respective data entry fields of the received user selected current data entry.
| 0.5 |
9,183,535 | 16 | 22 |
16. A non-transitory computer-readable storage medium storing executable computer program instructions for updating a user's social network model, the computer program instructions comprising instructions for: receiving a set of documents associated with a user; accessing the user's contact data, the contact data identifying a plurality of entities; analyzing the documents, using the contact data, to identify references to entities therein; identifying relationships among the referenced entities; determining a strength of a first relationship between a first entity and a second entity responsive to a volume of documents in which both the first entity and the second entity appear, wherein the first and second entities are a subset of the referenced entities; building a social network model for the user responsive to the identified relationships among the referenced entities and the strength of the first relationship; storing the social network model; receiving a new document associated with the user; identifying, in the new document, a reference to an ambiguous entity; performing the name disambiguation using the social network model to determine which of the at least two candidate entities from the social network model is an intended entity for the ambiguous entity; identifying other entities referenced by the new document; and updating the social network model by modifying relationship strengths in the social network model between the intended entity and the other entities referenced by the new document.
|
16. A non-transitory computer-readable storage medium storing executable computer program instructions for updating a user's social network model, the computer program instructions comprising instructions for: receiving a set of documents associated with a user; accessing the user's contact data, the contact data identifying a plurality of entities; analyzing the documents, using the contact data, to identify references to entities therein; identifying relationships among the referenced entities; determining a strength of a first relationship between a first entity and a second entity responsive to a volume of documents in which both the first entity and the second entity appear, wherein the first and second entities are a subset of the referenced entities; building a social network model for the user responsive to the identified relationships among the referenced entities and the strength of the first relationship; storing the social network model; receiving a new document associated with the user; identifying, in the new document, a reference to an ambiguous entity; performing the name disambiguation using the social network model to determine which of the at least two candidate entities from the social network model is an intended entity for the ambiguous entity; identifying other entities referenced by the new document; and updating the social network model by modifying relationship strengths in the social network model between the intended entity and the other entities referenced by the new document. 22. The non-transitory computer-readable storage medium of claim 16 wherein updating the social networking model comprises modifying a relationship strength between the intended entity and one of the other identified entities based on an elapsed time before the intended entity responds to messages from the one other identified entity.
| 0.693431 |
9,195,650 | 1 | 2 |
1. A method for translating a first text in a first language style into a second text in a second language style, the method comprising acts of: performing, by at least one processor, natural language understanding (NLU) processing on the first text to obtain at least one semantic representation of the first text; and using, by the at least one processor, the at least one semantic representation to generate the second text in the second language style, the second language style being different from the first language style, wherein the act of using the at least one semantic representation to generate the second text comprises: identifying, from the first text, at least one first word or phrase that occurs in a first corpus, wherein the first corpus comprises a first plurality of texts in the first language style; mapping the at least one first word or phrase to at least one second word or phrase that occurs in a second corpus, wherein the second corpus comprises a second plurality of texts in the second language style, the second plurality of texts in the second corpus being in a same language as the first plurality of texts in the first corpus; and using the at least one semantic representation and the at least one second word or phrase to generate the second text.
|
1. A method for translating a first text in a first language style into a second text in a second language style, the method comprising acts of: performing, by at least one processor, natural language understanding (NLU) processing on the first text to obtain at least one semantic representation of the first text; and using, by the at least one processor, the at least one semantic representation to generate the second text in the second language style, the second language style being different from the first language style, wherein the act of using the at least one semantic representation to generate the second text comprises: identifying, from the first text, at least one first word or phrase that occurs in a first corpus, wherein the first corpus comprises a first plurality of texts in the first language style; mapping the at least one first word or phrase to at least one second word or phrase that occurs in a second corpus, wherein the second corpus comprises a second plurality of texts in the second language style, the second plurality of texts in the second corpus being in a same language as the first plurality of texts in the first corpus; and using the at least one semantic representation and the at least one second word or phrase to generate the second text. 2. The method of claim 1 , wherein the at least one semantic representation comprises a semantic tree, and wherein performing the NLU processing comprises using an NLU parser to parse the first text to obtain the semantic tree.
| 0.554902 |
9,137,401 | 1 | 4 |
1. An electric apparatus comprising: a touch panel; a content storage unit that stores content to be displayed on the touch panel in different languages; a selected language storage unit that stores a selected language; a content display unit that displays, on the touch panel, content corresponding to the selected language stored in the selected language storage unit, of pieces of content stored in the content storage unit in the languages; and a language setting unit that displays a first language selection screen including items corresponding to regions of the world on the touch panel if a particular operation is accepted in a non-explicit area other than an explicit area that is explicitly indicated as being ready for accepting an operation, the first language selection screen being one of screens displayed on the touch panel, specifies an item if a portion touched on the touch panel reaches an explicit area on the first language selection screen by moving the portion touched on the touch panel, displays a second language selection screen including items corresponding to each of the languages corresponding to the specified item on the first language selection screen, specifies an item if a portion touched on the touch panel reaches an explicit area on the second language selection screen by moving the portion touched on the touch panel, and stores, in the selected language storage unit, a language corresponding to the specified item on the second language selection screen, wherein after the first or second language selection screen has been displayed on the touch panel, if an operation to cancel a state in which the touch panel is touched is accepted before the portion touched on the touch panel reaches the explicit area on the first or second language selection screen, the language setting unit turns off the first or second language selection screen displayed on the touch panel.
|
1. An electric apparatus comprising: a touch panel; a content storage unit that stores content to be displayed on the touch panel in different languages; a selected language storage unit that stores a selected language; a content display unit that displays, on the touch panel, content corresponding to the selected language stored in the selected language storage unit, of pieces of content stored in the content storage unit in the languages; and a language setting unit that displays a first language selection screen including items corresponding to regions of the world on the touch panel if a particular operation is accepted in a non-explicit area other than an explicit area that is explicitly indicated as being ready for accepting an operation, the first language selection screen being one of screens displayed on the touch panel, specifies an item if a portion touched on the touch panel reaches an explicit area on the first language selection screen by moving the portion touched on the touch panel, displays a second language selection screen including items corresponding to each of the languages corresponding to the specified item on the first language selection screen, specifies an item if a portion touched on the touch panel reaches an explicit area on the second language selection screen by moving the portion touched on the touch panel, and stores, in the selected language storage unit, a language corresponding to the specified item on the second language selection screen, wherein after the first or second language selection screen has been displayed on the touch panel, if an operation to cancel a state in which the touch panel is touched is accepted before the portion touched on the touch panel reaches the explicit area on the first or second language selection screen, the language setting unit turns off the first or second language selection screen displayed on the touch panel. 4. The electric apparatus according to claim 1 , comprising an operation method setting accepting unit that accepts a setting as to whether an operation to specify an item on the first or second language selection screen is an operation to move the portion touched on the touch panel or an operation to change a state in which the touch panel is not touched to a state in which the touch panel is touched for a moment.
| 0.5 |
7,945,896 | 1 | 19 |
1. A method for facilitating communications between components of a distributed application comprising the steps of: receiving a request by a middleware program from a first distributed application component, wherein a second distributed application component is identified in said request as a recipient of said request; identifying by the middleware program a publish/subscribe topic by identifying a first property of said second distributed application component; sending the request by the middleware program to a publisher associated with the first publish/subscribe topic; publishing by the publisher said request on the first publish/subscribe request topic; and in response to said publishing said request on the first publish/subscribe topic: sending the message to the second distributed application component, wherein the distributed application, the middleware program, the publisher and the publish/subscribe topic, are embodied in communicating computing devices.
|
1. A method for facilitating communications between components of a distributed application comprising the steps of: receiving a request by a middleware program from a first distributed application component, wherein a second distributed application component is identified in said request as a recipient of said request; identifying by the middleware program a publish/subscribe topic by identifying a first property of said second distributed application component; sending the request by the middleware program to a publisher associated with the first publish/subscribe topic; publishing by the publisher said request on the first publish/subscribe request topic; and in response to said publishing said request on the first publish/subscribe topic: sending the message to the second distributed application component, wherein the distributed application, the middleware program, the publisher and the publish/subscribe topic, are embodied in communicating computing devices. 19. The method of claim 1 , wherein the middleware program is a middleware wrapper.
| 0.953527 |
8,823,724 | 1 | 5 |
1. A texture unit comprising: an instruction input component for receiving texture instructions and texture coordinates; a level of detail component for determining a level of detail for performing said instructions at said texture coordinates, wherein said level of detail component weighs residency of texture information in determining said level of detail; a texture determination component for calculating an address of a texture corresponding to said level of detail determined by said level of detail component and fetching said texture; and a texture filter component for filtering said texture and forwarding a result.
|
1. A texture unit comprising: an instruction input component for receiving texture instructions and texture coordinates; a level of detail component for determining a level of detail for performing said instructions at said texture coordinates, wherein said level of detail component weighs residency of texture information in determining said level of detail; a texture determination component for calculating an address of a texture corresponding to said level of detail determined by said level of detail component and fetching said texture; and a texture filter component for filtering said texture and forwarding a result. 5. A texture unit of claim 1 wherein said level of detail component utilizes a sparse texture residency translation map to indicate a minimum resident LOD.
| 0.650901 |
8,725,517 | 1 | 2 |
1. A method comprising: selecting a recursive transition network flow controller from a database, to yield a selected top level flow controller; selecting an available reusable subdialog for an application part below the selected top level flow controller; developing, via a processor, a subdialog for each application part not associated with the available reusable subdialog, to yield developed subdialogs; and deploying a spoken dialog service using the selected top level flow controller, the available reusable subdialog, and the developed subdialogs.
|
1. A method comprising: selecting a recursive transition network flow controller from a database, to yield a selected top level flow controller; selecting an available reusable subdialog for an application part below the selected top level flow controller; developing, via a processor, a subdialog for each application part not associated with the available reusable subdialog, to yield developed subdialogs; and deploying a spoken dialog service using the selected top level flow controller, the available reusable subdialog, and the developed subdialogs. 2. The method of claim 1 , wherein the available reusable subdialog is isolated from application dependencies.
| 0.754464 |
8,275,729 | 1 | 18 |
1. Method for verifying linear hybrid automaton, the method comprising: using a reachability analysis of a linear transition system (LTS) to verify a linear hybrid automata (LHA) system; generating initial abstract model based on an original Linear-Time Temporal Logic (LTL) specification; validating a counterexample using an approach of linear constraints satisfaction; identifying a fragment in the counterexample by iteratively applying the approach of linear constraints satisfaction; and refining the original LTL specification based on the fragment derived.
|
1. Method for verifying linear hybrid automaton, the method comprising: using a reachability analysis of a linear transition system (LTS) to verify a linear hybrid automata (LHA) system; generating initial abstract model based on an original Linear-Time Temporal Logic (LTL) specification; validating a counterexample using an approach of linear constraints satisfaction; identifying a fragment in the counterexample by iteratively applying the approach of linear constraints satisfaction; and refining the original LTL specification based on the fragment derived. 18. The method of claim 1 , further comprising: using the reachability analysis to verify an embedded control system.
| 0.896825 |
9,990,345 | 16 | 17 |
16. The system of claim 15 , wherein the central processing unit is located at a commerce hub coupled to a vendor node and a plurality of customer nodes.
|
16. The system of claim 15 , wherein the central processing unit is located at a commerce hub coupled to a vendor node and a plurality of customer nodes. 17. The system of claim 16 , wherein the central processing unit receives the cXML document from a customer node of the plurality of customer nodes and transmits the cXML document file to the vendor node, or wherein the central processing unit receives the cXML document from the vendor node and transmits the cXML document to a customer node of the plurality of customer nodes.
| 0.5 |
9,424,346 | 10 | 14 |
10. An apparatus comprising: at least one processor; at least one storage medium having instructions stored thereon which, when executed by the at least one processor, cause the at least one processor to: parse a received query phrase into at least a first constituent part and a second constituent part; determine a first category associated with the received query phrase by performing a first classification process that uses the first constituent part, definitional information associated with the first constituent part, and the second constituent part; determine a second category associated with the received query phrase by performing a second classification process that uses the first constituent part and the second constituent part, the second classification process being different than the first classification process; access a pattern that is associated with at least one of the first category or the second category; determine whether the first category matches the second category; in response to a determination that the first category does not match the second category, select at least one category from among at least the first category and the second category based at least in part on the pattern, wherein the selecting is based at least in part on an estimated strength of the first classification process in determining that the received query phrase is associated with the first category and an estimated strength of the second classification process in determining that the received query phrase is associated with the second category; associate the received query phrase with the selected category; and process the query phrase based on the selected category.
|
10. An apparatus comprising: at least one processor; at least one storage medium having instructions stored thereon which, when executed by the at least one processor, cause the at least one processor to: parse a received query phrase into at least a first constituent part and a second constituent part; determine a first category associated with the received query phrase by performing a first classification process that uses the first constituent part, definitional information associated with the first constituent part, and the second constituent part; determine a second category associated with the received query phrase by performing a second classification process that uses the first constituent part and the second constituent part, the second classification process being different than the first classification process; access a pattern that is associated with at least one of the first category or the second category; determine whether the first category matches the second category; in response to a determination that the first category does not match the second category, select at least one category from among at least the first category and the second category based at least in part on the pattern, wherein the selecting is based at least in part on an estimated strength of the first classification process in determining that the received query phrase is associated with the first category and an estimated strength of the second classification process in determining that the received query phrase is associated with the second category; associate the received query phrase with the selected category; and process the query phrase based on the selected category. 14. The apparatus of claim 10 , the at least one storage medium further including instructions that, when executed by the at least one processor, cause the at least one processor to: access a first classification metric that indicates a confidence level in classifications made by the first classification process; and access a second classification metric that indicates a confidence level in classifications made by the second classification process, wherein the selecting at least one category further comprises selecting a category based on the first classification metric and the second classification metric.
| 0.675132 |
7,881,089 | 19 | 22 |
19. The content addressable memory device of claim 12 , further comprising: wherein the receiving unit is further configured to receive the search word of length L for comparison against the data word during the search operation; wherein the encoding unit is further configured to transform the search word into a search code for comparison against the code word during the search operation; and a match unit configured to measure if the collective current from the memory cells is below a threshold value during the search operation.
|
19. The content addressable memory device of claim 12 , further comprising: wherein the receiving unit is further configured to receive the search word of length L for comparison against the data word during the search operation; wherein the encoding unit is further configured to transform the search word into a search code for comparison against the code word during the search operation; and a match unit configured to measure if the collective current from the memory cells is below a threshold value during the search operation. 22. The content addressable memory device of claim 19 , wherein the match unit is further configured to indicate a memory location of the memory cells if the collective current is below the threshold value during the search operation.
| 0.752119 |
7,860,816 | 15 | 20 |
15. Apparatus for testing a sub-ontology for safeness, the sub-ontology comprising one or more elements of a given ontology, the elements comprising one or more individuals that represent at least one person or object, one or more relationships defined between the one or more individuals, and one or more pieces of metadata representing at least one characteristic of the one or more individuals and the one or more relationships, the apparatus comprising: means for defining a first subset of the one or more relationships, the first subset comprising all sensitive relationships in the given ontology; means for defining a second subset of the one or more relationships, the second subset comprising the sub-ontology; and means for determining whether any relationship in the first subset can be inferred from any relationship in the second subset, given one or more inference rules.
|
15. Apparatus for testing a sub-ontology for safeness, the sub-ontology comprising one or more elements of a given ontology, the elements comprising one or more individuals that represent at least one person or object, one or more relationships defined between the one or more individuals, and one or more pieces of metadata representing at least one characteristic of the one or more individuals and the one or more relationships, the apparatus comprising: means for defining a first subset of the one or more relationships, the first subset comprising all sensitive relationships in the given ontology; means for defining a second subset of the one or more relationships, the second subset comprising the sub-ontology; and means for determining whether any relationship in the first subset can be inferred from any relationship in the second subset, given one or more inference rules. 20. The apparatus of claim 15 , wherein the first subset is defined by an external source.
| 0.802632 |
8,849,693 | 39 | 43 |
39. A tangible computer-readable medium comprising computer-executable instructions that when executed on a processor performs the following steps: managing electronic advertisement service orders selected from a menu providing a plurality of advertisement services, each of said advertisement services including: an advertisement format specific to the advertisement service, an associated display area in which the advertising service is to be presented, the associated display area corresponding to one of a plurality of display areas, where the plurality of display areas include: a priority placement area, and at least one other placement area, and an associated advertiser priority indicating a particular order for presenting the advertising service relative to other advertising services; establishing the advertisement format as including presentation information specific to the advertising service such that the plurality of advertising services collectively include a plurality of different advertisement formats; providing secure access to advertisements and business information; providing automated payment transactions generated in accordance with a predetermined advertisement payment schedule; managing advertising services presented to an advertiser in accordance with a particular business listing; managing advertisement content and business listing selection activity associated with a particular advertiser; posting and verifying charges electronically; and publishing the advertisement in said display area associated with said selected advertising service, said advertisement presented in a particular order relative to other advertisements based on said advertiser priority associated with said selected advertising service.
|
39. A tangible computer-readable medium comprising computer-executable instructions that when executed on a processor performs the following steps: managing electronic advertisement service orders selected from a menu providing a plurality of advertisement services, each of said advertisement services including: an advertisement format specific to the advertisement service, an associated display area in which the advertising service is to be presented, the associated display area corresponding to one of a plurality of display areas, where the plurality of display areas include: a priority placement area, and at least one other placement area, and an associated advertiser priority indicating a particular order for presenting the advertising service relative to other advertising services; establishing the advertisement format as including presentation information specific to the advertising service such that the plurality of advertising services collectively include a plurality of different advertisement formats; providing secure access to advertisements and business information; providing automated payment transactions generated in accordance with a predetermined advertisement payment schedule; managing advertising services presented to an advertiser in accordance with a particular business listing; managing advertisement content and business listing selection activity associated with a particular advertiser; posting and verifying charges electronically; and publishing the advertisement in said display area associated with said selected advertising service, said advertisement presented in a particular order relative to other advertisements based on said advertiser priority associated with said selected advertising service. 43. The system of claim 39 , the instructions further including instructions for creating advertisements on-line electronically.
| 0.84466 |
7,734,556 | 23 | 27 |
23. A system for knowledge discovery from a set of free-text documents, the system comprising: means for extracting semi-structured meta-data from the set of free-text documents; means for filtering the semi-structured meta-data to identify a set of key concepts and a corresponding set of key relations between the key concepts, the set of key concepts corresponding to the plurality of concepts; means for deriving at least one set of sub-concepts corresponding to the set of key concepts based upon data within a domain knowledge base, means for formulating training samples, each training sample including a vector representing a sub-concept and a vector representing a key concept; and means for deriving a set of associations between a set of vectors representing a sub-concept and at least one vector representing a key concept, wherein neither the set of text documents nor the semi-structured meta-data mention the set of associations, and wherein the set of associations corresponds to discovered knowledge that is extractable by a knowledge interpreter.
|
23. A system for knowledge discovery from a set of free-text documents, the system comprising: means for extracting semi-structured meta-data from the set of free-text documents; means for filtering the semi-structured meta-data to identify a set of key concepts and a corresponding set of key relations between the key concepts, the set of key concepts corresponding to the plurality of concepts; means for deriving at least one set of sub-concepts corresponding to the set of key concepts based upon data within a domain knowledge base, means for formulating training samples, each training sample including a vector representing a sub-concept and a vector representing a key concept; and means for deriving a set of associations between a set of vectors representing a sub-concept and at least one vector representing a key concept, wherein neither the set of text documents nor the semi-structured meta-data mention the set of associations, and wherein the set of associations corresponds to discovered knowledge that is extractable by a knowledge interpreter. 27. The system according to claim 23 wherein the means for filtering the semi-structured meta-data comprises means for selecting the set of key concepts according to frequency of appearance of the set of key concepts in the semi-structured meta-data.
| 0.5 |
9,711,133 | 1 | 2 |
1. An apparatus for estimating a target character train from a predefined reference character train, said apparatus comprising: a manually operable selector configured to select only from among a limited plurality of kinds of particular phonemes in response to a manual operation of the manually operable selector by a user; and a processor configured to: acquire a reference phoneme train related to the predefined reference character train, the reference phoneme train being indirectly representative of the reference character train via the limited plurality of kinds of particular phonemes; acquire, a target phoneme train designated by a user, a phoneme train time-serially input from said manually operable selector in response to manual operations of the manually operable selector by a user, the target phoneme train being indirectly representative of the target character train via the particular phonemes in the target phoneme train; identify, based on a comparison between the designated target phoneme train and the reference phoneme train, a character sequence in the reference character train that corresponds to a sequence of the particular phonemes in the reference phoneme train matching the designated target phoneme train, wherein the identified character sequence is estimated to be the target character train; and display the identified character sequence on a display or generate a voice based on the identified character sequence to be audibly output from a speaker as an analog waveform signal, the identified character sequence corresponding to phonemes from among more kinds of phonemes than the limited plurality of kinds of particular phonemes only from among which the manually operable selector is configured to select.
|
1. An apparatus for estimating a target character train from a predefined reference character train, said apparatus comprising: a manually operable selector configured to select only from among a limited plurality of kinds of particular phonemes in response to a manual operation of the manually operable selector by a user; and a processor configured to: acquire a reference phoneme train related to the predefined reference character train, the reference phoneme train being indirectly representative of the reference character train via the limited plurality of kinds of particular phonemes; acquire, a target phoneme train designated by a user, a phoneme train time-serially input from said manually operable selector in response to manual operations of the manually operable selector by a user, the target phoneme train being indirectly representative of the target character train via the particular phonemes in the target phoneme train; identify, based on a comparison between the designated target phoneme train and the reference phoneme train, a character sequence in the reference character train that corresponds to a sequence of the particular phonemes in the reference phoneme train matching the designated target phoneme train, wherein the identified character sequence is estimated to be the target character train; and display the identified character sequence on a display or generate a voice based on the identified character sequence to be audibly output from a speaker as an analog waveform signal, the identified character sequence corresponding to phonemes from among more kinds of phonemes than the limited plurality of kinds of particular phonemes only from among which the manually operable selector is configured to select. 2. The apparatus as claimed in claim 1 , wherein the limited plurality of kinds of particular phonemes includes vowels.
| 0.947669 |
9,141,728 | 19 | 20 |
19. The computer-readable storage medium of claim 15 , wherein the method further comprises: displaying the expansion term to a user; and enabling the user to select the displayed expansion term for expanding the search query.
|
19. The computer-readable storage medium of claim 15 , wherein the method further comprises: displaying the expansion term to a user; and enabling the user to select the displayed expansion term for expanding the search query. 20. The computer-readable storage medium of claim 19 , wherein the expansion independence of the displayed expansion term is lower than the expansion independence threshold.
| 0.5 |
7,647,317 | 9 | 11 |
9. The computer-readable storage media of claim 1 , further comprising instructions for determining that no markup elements defined for the page contain any portion of the search string.
|
9. The computer-readable storage media of claim 1 , further comprising instructions for determining that no markup elements defined for the page contain any portion of the search string. 11. The computer-readable storage media of claim 9 , further comprising instructions for rejecting the page.
| 0.602941 |
9,519,718 | 2 | 3 |
2. The method according to claim 1 , wherein the step (1) further comprises: extracting a title from the information of the source file, and segmenting the title; wherein if there is no title or the title cannot be segmented, then the title will be set as empty.
|
2. The method according to claim 1 , wherein the step (1) further comprises: extracting a title from the information of the source file, and segmenting the title; wherein if there is no title or the title cannot be segmented, then the title will be set as empty. 3. The method according to claim 2 , wherein before extracting the main body text from the information of the source file, the method further comprises: filtering the source file information to keep a partitionable type tag and the information in the kept tag.
| 0.938095 |
9,922,133 | 1 | 6 |
1. A live topological query method performed by a physical computing system, the method comprising: with a querying application, using a query graph to create a live topological query result from a database storing a full structure graph while not storing an entirety of said query result in a cache memory; storing a first query result portion of said query result in said cache memory, and not storing a second query result portion of said query result in said cache memory, wherein said first query result portion relates to a first node in said query graph, and said second query result portion relates to a second, different node in said query graph; in response to detecting a change within said full structure graph, performing a calculation, based on said first query result portion stored in said cache memory and said second query result portion not stored in said cache memory, to determine whether said change is relevant to said query result; notifying said querying application of a relevant change to said query result without relying on a fully cached copy of said query result; and sorting nodes of said query graph into an order of said nodes, wherein performing said calculation comprises performing calculations in an order that corresponds to said order of said nodes, wherein sorting said nodes of said query graph comprises placing said first node before said second node in said order of said nodes.
|
1. A live topological query method performed by a physical computing system, the method comprising: with a querying application, using a query graph to create a live topological query result from a database storing a full structure graph while not storing an entirety of said query result in a cache memory; storing a first query result portion of said query result in said cache memory, and not storing a second query result portion of said query result in said cache memory, wherein said first query result portion relates to a first node in said query graph, and said second query result portion relates to a second, different node in said query graph; in response to detecting a change within said full structure graph, performing a calculation, based on said first query result portion stored in said cache memory and said second query result portion not stored in said cache memory, to determine whether said change is relevant to said query result; notifying said querying application of a relevant change to said query result without relying on a fully cached copy of said query result; and sorting nodes of said query graph into an order of said nodes, wherein performing said calculation comprises performing calculations in an order that corresponds to said order of said nodes, wherein sorting said nodes of said query graph comprises placing said first node before said second node in said order of said nodes. 6. The method of claim 1 , wherein said full structure graph represents an Information Technology (IT) infrastructure in graph form.
| 0.856833 |
7,849,393 | 1 | 23 |
1. An electronic book, comprising: a screen for displaying an electronic book content; at least one first component with at least one underlying link, wherein, upon selection of the at least one first component, the at least one first component links to at least an Internet web site for providing a plurality of streaming video, audio and text data when connected to the electronic book, wherein location information for each of the plurality of streaming video, audio and text data is provided in at least one hidden links table and the at least one hidden links table is provided in conjunction with downloading the content of the electronic book from a remote provider, and each of the at least one hidden links table is associated with the at least one first component with the at least one underlying link, and wherein the location information provides access to the plurality of streaming video, audio and text data, and wherein the at least one first component is a part of a content of the electronic book; and a control function wherein the control function allows selection of one or more of the plurality of streaming video, audio and text data while displaying the content of the electronic book, and wherein the selected data is displayed on the screen of the electronic book, wherein the hidden links table is updatable from a most current links table using information transmitted via the Internet web site from the remote provider, wherein the most current links table is downloaded to the electronic book either periodically by the remote provider, or when a new electronic book content is downloaded to the electronic book by the remote provider, and wherein the control function includes an on-screen show links button, upon selection of which a link menu is displayed on the screen of the electronic book along with the content of the electronic book, wherein the link menu shows all of the first components with the underlying links contained in the content of the electronic book displayed on the screen of the electronic book, and shows linked materials including a number of links, link numbers and descriptions of the linked materials that each of the first components with the underlying links is able to be linked to, such that, by choosing one of the links, a user is able to link to one of the linked materials.
|
1. An electronic book, comprising: a screen for displaying an electronic book content; at least one first component with at least one underlying link, wherein, upon selection of the at least one first component, the at least one first component links to at least an Internet web site for providing a plurality of streaming video, audio and text data when connected to the electronic book, wherein location information for each of the plurality of streaming video, audio and text data is provided in at least one hidden links table and the at least one hidden links table is provided in conjunction with downloading the content of the electronic book from a remote provider, and each of the at least one hidden links table is associated with the at least one first component with the at least one underlying link, and wherein the location information provides access to the plurality of streaming video, audio and text data, and wherein the at least one first component is a part of a content of the electronic book; and a control function wherein the control function allows selection of one or more of the plurality of streaming video, audio and text data while displaying the content of the electronic book, and wherein the selected data is displayed on the screen of the electronic book, wherein the hidden links table is updatable from a most current links table using information transmitted via the Internet web site from the remote provider, wherein the most current links table is downloaded to the electronic book either periodically by the remote provider, or when a new electronic book content is downloaded to the electronic book by the remote provider, and wherein the control function includes an on-screen show links button, upon selection of which a link menu is displayed on the screen of the electronic book along with the content of the electronic book, wherein the link menu shows all of the first components with the underlying links contained in the content of the electronic book displayed on the screen of the electronic book, and shows linked materials including a number of links, link numbers and descriptions of the linked materials that each of the first components with the underlying links is able to be linked to, such that, by choosing one of the links, a user is able to link to one of the linked materials. 23. The electronic book of claim 1 , wherein the first component cross-linked to a third component, wherein the third component is part of the content of the electronic book.
| 0.769841 |
9,330,376 | 1 | 3 |
1. A method for managing information in an enterprise, comprising: receiving a document from a component of an enterprise network, the enterprise network comprising a plurality of heterogeneous data servers and a plurality of clients; determining, with a processor, one or more characteristics associated with the document, wherein the one or more characteristics are selected from the group comprising a creator of the document, a sender of the document, a receiver of the document, and a quantity of recipients of the document; determining, with the processor, a priority score for the document based on a respective level of risk that each user in a set of users associated with the document poses to the enterprise, each respective level of risk corresponding to each user's role in the enterprise, wherein the set of users comprises the sender of the document and the receiver of the document; assigning, with the processor, a business value rating to the document based, at least in part, on the one or more characteristics and the priority score; and performing an operation with the document based on the business value rating.
|
1. A method for managing information in an enterprise, comprising: receiving a document from a component of an enterprise network, the enterprise network comprising a plurality of heterogeneous data servers and a plurality of clients; determining, with a processor, one or more characteristics associated with the document, wherein the one or more characteristics are selected from the group comprising a creator of the document, a sender of the document, a receiver of the document, and a quantity of recipients of the document; determining, with the processor, a priority score for the document based on a respective level of risk that each user in a set of users associated with the document poses to the enterprise, each respective level of risk corresponding to each user's role in the enterprise, wherein the set of users comprises the sender of the document and the receiver of the document; assigning, with the processor, a business value rating to the document based, at least in part, on the one or more characteristics and the priority score; and performing an operation with the document based on the business value rating. 3. The method of claim 1 , further comprising: determining, with the processor, the contents of the document; and wherein assigning a business value rating to the document comprises assigning a business value rating based, at least in part, on contents of the document.
| 0.840071 |
8,307,038 | 17 | 18 |
17. The method of claim 15 wherein the step of checking includes spell checking the email address entered against a user address book and a relevant email address.
|
17. The method of claim 15 wherein the step of checking includes spell checking the email address entered against a user address book and a relevant email address. 18. The method of claim 17 wherein for an entered email address failing a spell check, providing a visual indicator noting a problem with the entered address.
| 0.5 |
9,304,993 | 14 | 16 |
14. A multiple citation corpus report stored in a non-transitory computer readable medium for a user specified word or phrase comprising an entry for every occurrence of the user specified word or phrase, each entry comprising: a) prior context, b) the user specified word or phrase, c) subsequent context, and d) one or more internal citations, wherein the prior context, the user specified word or phrase, and the subsequent context forming a unique quote of each entry, wherein the user specified word or phrase was specified using a computer, wherein each internal citation identifies a document and the location inside the document where the unique quote of the entry is found in a plurality of formatted documents, wherein the one or more internal citations of each entry is a combined citation comprising a complete list of every occurrence of the unique quote of the respective entry in the respective plurality of formatted documents, and wherein the multiple citation corpus report contains a single entry for the unique quote.
|
14. A multiple citation corpus report stored in a non-transitory computer readable medium for a user specified word or phrase comprising an entry for every occurrence of the user specified word or phrase, each entry comprising: a) prior context, b) the user specified word or phrase, c) subsequent context, and d) one or more internal citations, wherein the prior context, the user specified word or phrase, and the subsequent context forming a unique quote of each entry, wherein the user specified word or phrase was specified using a computer, wherein each internal citation identifies a document and the location inside the document where the unique quote of the entry is found in a plurality of formatted documents, wherein the one or more internal citations of each entry is a combined citation comprising a complete list of every occurrence of the unique quote of the respective entry in the respective plurality of formatted documents, and wherein the multiple citation corpus report contains a single entry for the unique quote. 16. The multiple citation corpus report of claim 14 , wherein the multiple citation corpus report is printed on paper using on a computer printer.
| 0.645631 |
8,036,889 | 1 | 10 |
1. A method for filtering dictated and non-dictated sections of documents, the method comprising steps of: gathering speech recognition output and a first set of corresponding documents; conforming at least one associated document from the first set of corresponding documents to a selected speech recognition format; comparing the speech recognition output and the at least one associated document; determining, using a processing unit, long homogeneous sequences of misaligned tokens from the speech recognition output and the at least one associated document; detecting boundaries between dictated and non-dictated sections in the at least one associated document; and annotating the at least one associated document with the boundaries.
|
1. A method for filtering dictated and non-dictated sections of documents, the method comprising steps of: gathering speech recognition output and a first set of corresponding documents; conforming at least one associated document from the first set of corresponding documents to a selected speech recognition format; comparing the speech recognition output and the at least one associated document; determining, using a processing unit, long homogeneous sequences of misaligned tokens from the speech recognition output and the at least one associated document; detecting boundaries between dictated and non-dictated sections in the at least one associated document; and annotating the at least one associated document with the boundaries. 10. The method according to claim 1 , further comprising creating classification models in order to distinguish between dictated and non-dictated sections of text in the at least one associated document.
| 0.773438 |
8,010,456 | 16 | 20 |
16. The machine readable storage of claim 15 , further comprising the steps of: loading an additional policy limiting the lifecycle of provisioned collaborative contexts; and, enforcing said additional policy during the lifecycle of said provisioned collaborative contexts.
|
16. The machine readable storage of claim 15 , further comprising the steps of: loading an additional policy limiting the lifecycle of provisioned collaborative contexts; and, enforcing said additional policy during the lifecycle of said provisioned collaborative contexts. 20. The machine readable storage of claim 16 , wherein said step of enforcing said additional policy comprises the steps of: loading usage data for said provisioned collaborative contexts; comparing said usage data for each one of said provisioned collaborative contexts to rules in said additional policy; and, when said comparison indicates a violation of said rules in said additional policy, remediating said violation.
| 0.520408 |
8,189,748 | 1 | 4 |
1. A method for sending a Short Voice Message (SVM), the method comprising: initiating, by a transmitting device, an SVM service function and recording an SVM; sending, by a communication network, a call setup message as a normal voice call to a receiving device, at a request of the transmitting device; decoding, by the receiving device, the received call setup message and recognizing, during a call setup, that the call setup message indicates an upcoming transmission of the SVM; setting, by the receiving device, parameters for recording the SVM and establishing the normal voice call with the transmitting device according to the SVM call setup message; sending, by the transmitting device, the recorded SVM directly to the receiving device through the established normal voice call; and recording and storing, by the receiving device, the received SVM.
|
1. A method for sending a Short Voice Message (SVM), the method comprising: initiating, by a transmitting device, an SVM service function and recording an SVM; sending, by a communication network, a call setup message as a normal voice call to a receiving device, at a request of the transmitting device; decoding, by the receiving device, the received call setup message and recognizing, during a call setup, that the call setup message indicates an upcoming transmission of the SVM; setting, by the receiving device, parameters for recording the SVM and establishing the normal voice call with the transmitting device according to the SVM call setup message; sending, by the transmitting device, the recorded SVM directly to the receiving device through the established normal voice call; and recording and storing, by the receiving device, the received SVM. 4. The method of claim 1 , wherein a predetermined field of the call setup message is set to a value indicating that the call setup message is a call setup message for setting a normal voice call for SVM transmission.
| 0.5 |
6,072,494 | 1 | 11 |
1. A computer-implemented method of storing and recognizing gestures made by a moving subject within an image, the method including: a) building a background model by obtaining at least one frame of an image; b) obtaining a data frame containing a subject performing part of a gesture; c) analyzing the data frame thereby determining particular coordinates of the subject at a particular time while the subject is performing the gesture; d) adding the particular coordinates to a frame data set; e) examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognized gesture; f) repeating b through e for a plurality of data frames; and g) determining whether the plurality of the data frames when examined in a particular sequence, conveys a subject gesture by the subject that resembles a recognizable gesture, thereby causing an operation based on a predetermined meaning of the recognizable gesture be performed by a computer.
|
1. A computer-implemented method of storing and recognizing gestures made by a moving subject within an image, the method including: a) building a background model by obtaining at least one frame of an image; b) obtaining a data frame containing a subject performing part of a gesture; c) analyzing the data frame thereby determining particular coordinates of the subject at a particular time while the subject is performing the gesture; d) adding the particular coordinates to a frame data set; e) examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognized gesture; f) repeating b through e for a plurality of data frames; and g) determining whether the plurality of the data frames when examined in a particular sequence, conveys a subject gesture by the subject that resembles a recognizable gesture, thereby causing an operation based on a predetermined meaning of the recognizable gesture be performed by a computer. 11. A method as recited in claim 1 wherein the step of examining the particular coordinates further includes extracting data from the frame data set based on characteristics of the recognizable gesture being checked.
| 0.864151 |
9,558,268 | 13 | 14 |
13. The method of claim 7 , further comprising: learning the parameters of the extracting, the combining, the decombining and the labeling using training data.
|
13. The method of claim 7 , further comprising: learning the parameters of the extracting, the combining, the decombining and the labeling using training data. 14. The method of claim 13 , wherein the learning minimizes a difference between true labels and predicted labels of the pixels in the training data.
| 0.5 |
7,698,639 | 1 | 3 |
1. A computer-implemented system that facilitates configuration management, comprising: a template component for defining a template that includes a per-user setting associated with a system application; a template assignment tool configured to assign an instance of the template to one or more users; an enforcement component for enforcing the per-user setting via the template; an extensibility component configured to enable a definition of the template to be extended by a third-party; and a communications component for at least one of media or messaging communications, which communications component accesses the template for a per-user setting for configuring the communications component.
|
1. A computer-implemented system that facilitates configuration management, comprising: a template component for defining a template that includes a per-user setting associated with a system application; a template assignment tool configured to assign an instance of the template to one or more users; an enforcement component for enforcing the per-user setting via the template; an extensibility component configured to enable a definition of the template to be extended by a third-party; and a communications component for at least one of media or messaging communications, which communications component accesses the template for a per-user setting for configuring the communications component. 3. The system of claim 1 , wherein the per-user setting is defined as a logical grouping.
| 0.649606 |
9,158,746 | 1 | 5 |
1. A method for managing concurrent editing in a collaborative editing environment, the method comprising: receiving an input to edit an electronic document from a first editor through a first user interface; responsive to receiving an input to edit an electronic document, tracking a cursor within the electronic document associated with the first user interface; locking content of the electronic document within a proximity of the cursor associated with the first user interface to prevent access to the content of the electronic document within the proximity of the cursor by one or more second editors, wherein scope of the proximity and a length of a delay associated with the cursor are based, at least in part, on one or more dynamic rules, wherein the scope of the proximity of the cursor and the length of the delay are based, at least in part, on a nested relationship of content of the electronic document, wherein a length of the delay at a word-level is greater than a length of the delay at a sentence-level, and the length of the delay at a sentence-level is greater than a length of the delay at a paragraph-level; and responsive to the cursor moving to a new location within the electronic document, unlocking the content no longer in the proximity of the cursor.
|
1. A method for managing concurrent editing in a collaborative editing environment, the method comprising: receiving an input to edit an electronic document from a first editor through a first user interface; responsive to receiving an input to edit an electronic document, tracking a cursor within the electronic document associated with the first user interface; locking content of the electronic document within a proximity of the cursor associated with the first user interface to prevent access to the content of the electronic document within the proximity of the cursor by one or more second editors, wherein scope of the proximity and a length of a delay associated with the cursor are based, at least in part, on one or more dynamic rules, wherein the scope of the proximity of the cursor and the length of the delay are based, at least in part, on a nested relationship of content of the electronic document, wherein a length of the delay at a word-level is greater than a length of the delay at a sentence-level, and the length of the delay at a sentence-level is greater than a length of the delay at a paragraph-level; and responsive to the cursor moving to a new location within the electronic document, unlocking the content no longer in the proximity of the cursor. 5. The method of claim 1 , wherein the scope of the proximity of the cursor and the length of the delay are based, at least in part, on a number of editors that are concurrently editing the electronic document, and the scope of the proximity and the length of the delay increase as the number of editors increases.
| 0.5 |
9,392,084 | 1 | 9 |
1. A method comprising: capturing, by at least one computer device, data and ecology information about an entire existing network infrastructure; generating, by the at least one computer device, a first generalized descriptive language for the captured data and ecology information; capturing, by the at least one computer device, data about a plurality of replacement devices within a recovery inventory; generating, by the at least one computer device, a second generalized descriptive language for the captured data about the plurality of replacement devices; matching nodal attributes of the first generalized descriptive language and the second generalized descriptive language to generate a heteromorphic map of a replacement network infrastructure; and reconstructing, by the at least one computer device, the entire existing network infrastructure using the heteromorphic map by introducing functionally equivalent hardware components that correspond to the second generalized descriptive language.
|
1. A method comprising: capturing, by at least one computer device, data and ecology information about an entire existing network infrastructure; generating, by the at least one computer device, a first generalized descriptive language for the captured data and ecology information; capturing, by the at least one computer device, data about a plurality of replacement devices within a recovery inventory; generating, by the at least one computer device, a second generalized descriptive language for the captured data about the plurality of replacement devices; matching nodal attributes of the first generalized descriptive language and the second generalized descriptive language to generate a heteromorphic map of a replacement network infrastructure; and reconstructing, by the at least one computer device, the entire existing network infrastructure using the heteromorphic map by introducing functionally equivalent hardware components that correspond to the second generalized descriptive language. 9. The method of claim 1 , wherein the reconstructing the entire existing network infrastructure further comprises creating inputs for provisioning tools based on the first generalized descriptive language for the captured data and the ecology information of the existing network infrastructure and the second generalized descriptive language for the determined functionally equivalent replacement devices.
| 0.5 |
7,925,610 | 13 | 15 |
13. A computer-readable medium encoded with a computer program, the program comprising instructions to perform operations, the operations comprising: receiving data identifying a knowledge item; retrieving, from a database, document-based information to be used in selecting a meaning for the knowledge item, where the document-based information comprises one or more documents related to the knowledge item; determining one or more document term meanings of the document-based information, the determining comprising, for each document in the document-based information; selecting one or more meanings for terms in the document from meanings associated with the terms in a computer-readable data collection that associates at least one meaning with each of the terms, and then determining one or more document term meanings of the document from the one or more meanings for terms in the document; determining a plurality of knowledge item term meanings of the knowledge item by selecting a plurality of meanings from meanings associated with one or more terms of the knowledge item in the computer-readable data collection; determining a strength of relationship between each knowledge item term meaning and each document term meaning of the document-based information, and determining a respective selection probability for each knowledge item term meaning from the strengths; and designating knowledge item term meaning from the plurality of knowledge item term meanings as a meaning of the knowledge item according to the respective selection probability associated with each knowledge item term meaning; and storing the designated meaning of the knowledge item.
|
13. A computer-readable medium encoded with a computer program, the program comprising instructions to perform operations, the operations comprising: receiving data identifying a knowledge item; retrieving, from a database, document-based information to be used in selecting a meaning for the knowledge item, where the document-based information comprises one or more documents related to the knowledge item; determining one or more document term meanings of the document-based information, the determining comprising, for each document in the document-based information; selecting one or more meanings for terms in the document from meanings associated with the terms in a computer-readable data collection that associates at least one meaning with each of the terms, and then determining one or more document term meanings of the document from the one or more meanings for terms in the document; determining a plurality of knowledge item term meanings of the knowledge item by selecting a plurality of meanings from meanings associated with one or more terms of the knowledge item in the computer-readable data collection; determining a strength of relationship between each knowledge item term meaning and each document term meaning of the document-based information, and determining a respective selection probability for each knowledge item term meaning from the strengths; and designating knowledge item term meaning from the plurality of knowledge item term meanings as a meaning of the knowledge item according to the respective selection probability associated with each knowledge item term meaning; and storing the designated meaning of the knowledge item. 15. The computer-readable medium of claim 13 , wherein the document-based information comprises an advertisement from an advertiser who has bid on the knowledge item.
| 0.869906 |
7,890,877 | 1 | 6 |
1. A method for generating a portal, comprising: providing a first development environment having a plurality of portal designer tools capable of simultaneously obtaining portal configuration information; providing a second development environment having an administration tool to construct a portal for a particular user or group of users wherein the plurality of portal designer tools in the first development environment and the administration tool in the second development environment, communicate via a network, and wherein each one of the portal designer tools includes a graphical user interface that obtains the portal configuration information by dragging and dropping a portal component from a palette to a display within the graphical user interface, and wherein the portal component includes one of a portlet, page and book; receiving, by the administration tool, the portal configuration from each one of the plurality of portal designer tools via the network, and preparing a portal description in accordance with the portal configuration information received; wherein the administration tool aggregates the portal configuration information received from the plurality of portal designer tools located in the first development environment to construct the portal for the particular user or group of users; providing a design view, a source view and a hierarchical view as part of the graphical user interface, wherein the design view is a display that gives a graphical indication of the portal components in the portal, the source view is a display of the portal description and the hierarchical view provides a graphical indication of all the portal components arranged in a hierarchy; detecting a modification of the portal description by any of the design tools, wherein the modification is detected by detecting at least one of a drag and drop by one of the plurality of design tools of a new portal component from the palette into the display within the graphical user interface, and editing properties of the selected portal component; and automatically synchronizing the portal description, design view, source view and hierarchical view across the portal designer tools and the administration tool, via the network, to reflect the modification of the portal description, wherein upon detecting the modification of the portal description, the design view, source view and hierarchical view of each one of the plurality of design tools are updated to reflect the modification.
|
1. A method for generating a portal, comprising: providing a first development environment having a plurality of portal designer tools capable of simultaneously obtaining portal configuration information; providing a second development environment having an administration tool to construct a portal for a particular user or group of users wherein the plurality of portal designer tools in the first development environment and the administration tool in the second development environment, communicate via a network, and wherein each one of the portal designer tools includes a graphical user interface that obtains the portal configuration information by dragging and dropping a portal component from a palette to a display within the graphical user interface, and wherein the portal component includes one of a portlet, page and book; receiving, by the administration tool, the portal configuration from each one of the plurality of portal designer tools via the network, and preparing a portal description in accordance with the portal configuration information received; wherein the administration tool aggregates the portal configuration information received from the plurality of portal designer tools located in the first development environment to construct the portal for the particular user or group of users; providing a design view, a source view and a hierarchical view as part of the graphical user interface, wherein the design view is a display that gives a graphical indication of the portal components in the portal, the source view is a display of the portal description and the hierarchical view provides a graphical indication of all the portal components arranged in a hierarchy; detecting a modification of the portal description by any of the design tools, wherein the modification is detected by detecting at least one of a drag and drop by one of the plurality of design tools of a new portal component from the palette into the display within the graphical user interface, and editing properties of the selected portal component; and automatically synchronizing the portal description, design view, source view and hierarchical view across the portal designer tools and the administration tool, via the network, to reflect the modification of the portal description, wherein upon detecting the modification of the portal description, the design view, source view and hierarchical view of each one of the plurality of design tools are updated to reflect the modification. 6. The method of claim 1 , wherein the portal configuration information is stored in a database.
| 0.811765 |
8,086,504 | 1 | 4 |
1. A method comprising: under control of one or more processors configured with executable instructions, examining, by the one or more processors, one or more corpuses of text associated with a particular item in an electronic catalog to identify one or more phrases to suggest as tags for association with the particular item in the electronic catalog, the one or more phrases being capitalized phrases within the one or more corpuses of text that occur more than a threshold number of times; and suggesting, by the one or more processors, at least one of the one or more capitalized phrases that occur within the one or more corpuses of text more than the threshold number of times as a tag to be associated with the particular item.
|
1. A method comprising: under control of one or more processors configured with executable instructions, examining, by the one or more processors, one or more corpuses of text associated with a particular item in an electronic catalog to identify one or more phrases to suggest as tags for association with the particular item in the electronic catalog, the one or more phrases being capitalized phrases within the one or more corpuses of text that occur more than a threshold number of times; and suggesting, by the one or more processors, at least one of the one or more capitalized phrases that occur within the one or more corpuses of text more than the threshold number of times as a tag to be associated with the particular item. 4. A method as recited in claim 1 , further comprising ranking the one or more capitalized phrases prior to the suggesting, and wherein the suggesting is based at least in part on the ranking.
| 0.743316 |
8,984,089 | 1 | 3 |
1. An industrial automation device, comprising: a processor: and a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions, comprising: a reception component configured to: receive a request for a portion of data stored in the industrial automation device, the request comprising an attribute; in response to the attribute, obtain a text string that describes a schema of the portion of data; and an encoding component configured to: encode the text string as an extensible markup language (XML)-encoded payload; and communicate the XML-encoded payload according to an industrial protocol in response to the request.
|
1. An industrial automation device, comprising: a processor: and a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions, comprising: a reception component configured to: receive a request for a portion of data stored in the industrial automation device, the request comprising an attribute; in response to the attribute, obtain a text string that describes a schema of the portion of data; and an encoding component configured to: encode the text string as an extensible markup language (XML)-encoded payload; and communicate the XML-encoded payload according to an industrial protocol in response to the request. 3. The industrial automation device of claim 1 , wherein the text string describes a software object referenced by the request according to the schema.
| 0.563584 |
10,055,488 | 2 | 3 |
2. The method of claim 1 , wherein performing the clustering operation to cluster the input question with the one or more other questions of a cluster comprises performing the clustering based on features of the input question, features of an answer, and features of the one or more supporting evidence passages.
|
2. The method of claim 1 , wherein performing the clustering operation to cluster the input question with the one or more other questions of a cluster comprises performing the clustering based on features of the input question, features of an answer, and features of the one or more supporting evidence passages. 3. The method of claim 2 , wherein a plurality of different weighting factors are established for different features of at least one of the input question, the answer, or the one or more supporting evidence passages.
| 0.5 |
8,370,391 | 1 | 4 |
1. A method for functional updating data represented in a tree comprising the steps of: receiving an indication of an XML file or an XML stream to update in an input tree; receiving an indication of an update combinator, the update combinator indicating nodes to match and a function to apply to nodes matching the update combinator; optimizing a query to search for matching nodes based on the input tree at least in part by utilizing an XML schema associated with the input tree to determine whether a search of an associated subtree can be skipped; finding at least one node in the input tree matching the update combinator using the optimized search; cloning one or more portions of the input tree that include a matching node corresponding to the update combinator; streaming portions of the input tree respectively corresponding to a matched node, wherein only a portion of the input tree is streamed into memory at any given time; updating a cloned portion of the at least one node in the input tree on a server by applying the function indicated by the update combinator; determining an amount of memory to be used based on a size of the input tree and an expected number of updates; and outputting an output tree comprising updated nodes.
|
1. A method for functional updating data represented in a tree comprising the steps of: receiving an indication of an XML file or an XML stream to update in an input tree; receiving an indication of an update combinator, the update combinator indicating nodes to match and a function to apply to nodes matching the update combinator; optimizing a query to search for matching nodes based on the input tree at least in part by utilizing an XML schema associated with the input tree to determine whether a search of an associated subtree can be skipped; finding at least one node in the input tree matching the update combinator using the optimized search; cloning one or more portions of the input tree that include a matching node corresponding to the update combinator; streaming portions of the input tree respectively corresponding to a matched node, wherein only a portion of the input tree is streamed into memory at any given time; updating a cloned portion of the at least one node in the input tree on a server by applying the function indicated by the update combinator; determining an amount of memory to be used based on a size of the input tree and an expected number of updates; and outputting an output tree comprising updated nodes. 4. The method of claim 1 , including receiving of the indication of the update combinator and the receiving of the indication of the function to apply via an application programming interface (API).
| 0.569565 |
8,719,695 | 8 | 13 |
8. A method, comprising: at an electronic device with a display: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level.
|
8. A method, comprising: at an electronic device with a display: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level. 13. The method of claim 8 , wherein the second input is a find command or a replace command.
| 0.767677 |
9,195,722 | 5 | 6 |
5. The method of claim 4 , wherein the calculating the score for the first search result is further based on a hop value provided by the first user.
|
5. The method of claim 4 , wherein the calculating the score for the first search result is further based on a hop value provided by the first user. 6. The method of claim 5 , wherein the search input comprises the hop value.
| 0.5 |
8,745,091 | 1 | 2 |
1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories.
|
1. In a computing system, a method comprising: analyzing an electronic document to generate document identifying data; classifying the electronic document in one of one or more display categories by applying a classification rule to the document identifying data, wherein the classification of the electronic document represents a prioritization of the electronic document; displaying the classified electronic document in the one of the one or more display categories; receiving a user feedback regarding prioritization of the one of the electronic document; and updating the classification rule based on the feedback from the user, wherein analyzing the electronic document further comprises analyzing the document using semantical analysis of the document comprising: associating one or more concepts with the one of the one or more display categories, extracting the one or more concepts from the electronic document, and pattern matching the one or more extracted concepts with the one or more concepts associated with the one or more display categories. 2. The method of claim 1 , wherein the user feedback is in the form of the user moving the electronic document from the one of the one or more display categories to the another of the one or more display categories.
| 0.729899 |
9,009,256 | 15 | 16 |
15. A computer-implemented method comprising: retrieving, in at least one computing device, a text block from a network site; processing, in the at least one computing device, the text block to generate a plurality of scores, wherein each score of the plurality of scores is in a predefined range of values; determining, by the at least one computing device, that a content of the text block expresses an actionable user concern based at least in part on at least one score of the plurality of scores satisfying a threshold value, wherein the actionable user concern is capable of being addressed by a customer service agent; in response to determining that the content of the text block expresses the actionable user concern, storing, in a memory accessible to the at least one computing device, a representation of the text block in at least one queue of a plurality of queues; and granting access, in the at least one computing device, to the at least one queue of the plurality of queues to generate a message in response to the text block.
|
15. A computer-implemented method comprising: retrieving, in at least one computing device, a text block from a network site; processing, in the at least one computing device, the text block to generate a plurality of scores, wherein each score of the plurality of scores is in a predefined range of values; determining, by the at least one computing device, that a content of the text block expresses an actionable user concern based at least in part on at least one score of the plurality of scores satisfying a threshold value, wherein the actionable user concern is capable of being addressed by a customer service agent; in response to determining that the content of the text block expresses the actionable user concern, storing, in a memory accessible to the at least one computing device, a representation of the text block in at least one queue of a plurality of queues; and granting access, in the at least one computing device, to the at least one queue of the plurality of queues to generate a message in response to the text block. 16. The computer-implemented method of claim 15 , wherein each score of the plurality of scores is generated by a corresponding text classifier.
| 0.576471 |
9,654,432 | 8 | 9 |
8. The method of claim 1 , wherein the first electronic message further satisfies a second set of content-based clustering rules associated with a second message cluster; and the method further comprises: assigning the first electronic message to the second message cluster; and formatting for display, in an electronic message folder of the messaging application, the electronic messages in the second message cluster as a second cluster graphic.
|
8. The method of claim 1 , wherein the first electronic message further satisfies a second set of content-based clustering rules associated with a second message cluster; and the method further comprises: assigning the first electronic message to the second message cluster; and formatting for display, in an electronic message folder of the messaging application, the electronic messages in the second message cluster as a second cluster graphic. 9. The method of claim 8 , wherein the first and second sets of content-based clustering rules are user-defined clustering rules.
| 0.718341 |
9,165,032 | 1 | 5 |
1. An automated method to allocate resources of a highly parallel computing system for processing a database query, the method comprising: receiving the database query from an application at a client system; compiling the query and computing the number of executive server processes (ESPs) in each ESP layer of the query; generating an affinity value, wherein the affinity value specifies a subset of processors for a range of processor subset sizes; executing the query wherein placement of ESP layers of the query onto processors of the computing system is determined using the affinity value; and returning results of the execution to the application.
|
1. An automated method to allocate resources of a highly parallel computing system for processing a database query, the method comprising: receiving the database query from an application at a client system; compiling the query and computing the number of executive server processes (ESPs) in each ESP layer of the query; generating an affinity value, wherein the affinity value specifies a subset of processors for a range of processor subset sizes; executing the query wherein placement of ESP layers of the query onto processors of the computing system is determined using the affinity value; and returning results of the execution to the application. 5. The method of claim 1 , wherein the subset of processors specified by the affinity value is given by a variable multiplied by a skip value plus an offset value, where the variable goes from zero to the number of executive server processes in an ESP layer minus one.
| 0.705495 |
8,504,915 | 5 | 8 |
5. A computer-implemented method comprising: detecting an input operation associated with an electronic note page, wherein the input operation coincides with a first page location; positioning an originating container and a cursor at a default insertion point when the electronic note page is absent of a container and an input state corresponds to a first input operation in conjunction with the electronic note page; removing the originating container and positioning a new container and the cursor at the insertion point when the input state corresponds to a second input operation; and transitioning a display of the new container and content rendered on the electronic note page using an interaction model that includes resizing ranges to automatically adjust the new container to a first percentage of an available page dimension and to a second percentage of the available page dimension during resizing operations.
|
5. A computer-implemented method comprising: detecting an input operation associated with an electronic note page, wherein the input operation coincides with a first page location; positioning an originating container and a cursor at a default insertion point when the electronic note page is absent of a container and an input state corresponds to a first input operation in conjunction with the electronic note page; removing the originating container and positioning a new container and the cursor at the insertion point when the input state corresponds to a second input operation; and transitioning a display of the new container and content rendered on the electronic note page using an interaction model that includes resizing ranges to automatically adjust the new container to a first percentage of an available page dimension and to a second percentage of the available page dimension during resizing operations. 8. The computer-implemented method of claim 5 , wherein the default insertion point coincides with an upper left position portion of the electronic note page.
| 0.777465 |
9,830,417 | 8 | 12 |
8. A circuit design system comprising: a layout database hosted on one or more computing devices comprising non-transitory machine-readable memory, the layout database configured to store one or more records of one or more features of an electronic circuit layout of an electronic circuit design; a client device configured to execute a circuit design interface configured to display representations of the features of the electronic circuit layout, and to receive inputs from one or more input devices; and a design server in communication with the client device and the layout database, and comprising a processor configured to: generate a record of a figure group in the electronic circuit layout of the electronic circuit design; generate one or more templates of features comprising one or more parameters and a programming language code; generate a record of a parameterized figure group containing data associating the one or more templates to the figure group; edit an instance of the parameterized figure group according to one or more inputs received via the one or more input devices, wherein the instance of the parameterized figure group is generated according to the one or more parameters; update the one or more parameters affected based on the edit of the instance of the parameterized figure group, and generate a record of a new parameterized figure group based on the one or more updated parameters.
|
8. A circuit design system comprising: a layout database hosted on one or more computing devices comprising non-transitory machine-readable memory, the layout database configured to store one or more records of one or more features of an electronic circuit layout of an electronic circuit design; a client device configured to execute a circuit design interface configured to display representations of the features of the electronic circuit layout, and to receive inputs from one or more input devices; and a design server in communication with the client device and the layout database, and comprising a processor configured to: generate a record of a figure group in the electronic circuit layout of the electronic circuit design; generate one or more templates of features comprising one or more parameters and a programming language code; generate a record of a parameterized figure group containing data associating the one or more templates to the figure group; edit an instance of the parameterized figure group according to one or more inputs received via the one or more input devices, wherein the instance of the parameterized figure group is generated according to the one or more parameters; update the one or more parameters affected based on the edit of the instance of the parameterized figure group, and generate a record of a new parameterized figure group based on the one or more updated parameters. 12. The system of claim 8 , wherein the figure group comprises one or more figures having geometric shapes, and wherein a geometric shape of a figure of the figure group is selected from a group consisting of: rectangle, polygon, line, path, arc, ellipse, dot, and donut.
| 0.565705 |
9,721,481 | 13 | 17 |
13. A system for controlling an electronic device, comprising: an electronic device; at least one movement sensor that detects a plurality of user movements associated with a user; at least one non-transitory storage medium that stores a database of movements associated with movements of one or more sign languages; and at least one processing unit; wherein the at least one processing unit executes instructions stored in the at least one non-transitory storage medium to derive a first sign language message corresponding to control of the electronic device from at least one user movement of the plurality of user movements, identify a conflict wherein a first control function and a second control function of the electronic device are each determined to be a candidate control function that is associated with the first sign language message, transmit, in response to identifying the conflict, a notification to the user via a display device associated with the electronic device, wherein the notification includes a request for the user to repeat the plurality of user movements due to the conflict, detect, after transmitting the notification to the user, a second plurality of user movements associated with the user utilizing the movement sensor, derive a second sign language message corresponding to control of the electronic device, wherein the second sign language message is derived from at least one user movement of the second plurality of user movements, identify a control function of the electronic device associated with the second sign language message; resolve the conflict to determine that one of the first control function and the second control function is associated with the first sign language message using the second plurality of user movements and the second sign language message, and implement one of the first control function and the second control function based on the determination.
|
13. A system for controlling an electronic device, comprising: an electronic device; at least one movement sensor that detects a plurality of user movements associated with a user; at least one non-transitory storage medium that stores a database of movements associated with movements of one or more sign languages; and at least one processing unit; wherein the at least one processing unit executes instructions stored in the at least one non-transitory storage medium to derive a first sign language message corresponding to control of the electronic device from at least one user movement of the plurality of user movements, identify a conflict wherein a first control function and a second control function of the electronic device are each determined to be a candidate control function that is associated with the first sign language message, transmit, in response to identifying the conflict, a notification to the user via a display device associated with the electronic device, wherein the notification includes a request for the user to repeat the plurality of user movements due to the conflict, detect, after transmitting the notification to the user, a second plurality of user movements associated with the user utilizing the movement sensor, derive a second sign language message corresponding to control of the electronic device, wherein the second sign language message is derived from at least one user movement of the second plurality of user movements, identify a control function of the electronic device associated with the second sign language message; resolve the conflict to determine that one of the first control function and the second control function is associated with the first sign language message using the second plurality of user movements and the second sign language message, and implement one of the first control function and the second control function based on the determination. 17. The system of claim 13 , wherein the at least one processing unit derives a sign language message from the at least one user movement of the plurality of user movements by comparing the plurality of user movements to movements of a particular sign language stored in the database based on a setting specified by a user.
| 0.707957 |
8,930,831 | 7 | 8 |
7. A medium according to claim 6 , the medium further comprising: program code to automatically generate, based on the business process definition, a second user interface associated with a second one of the plurality of steps of the processor-executable business process embodied as code executable to present the second user interface, the second user interface comprising a second set of user interface controls, wherein each user interface control in the second set of user interface controls corresponds to one of a plurality of actions that are associated with the second one of the plurality of steps and is selectable to execute the corresponding one of the plurality of actions associated with the second one of the plurality of steps; and program code to automatically generate, based on the business process definition, a third user interface, the third user interface being embodied as code executable to present the third user interface comprising the first user interface and the second user interface.
|
7. A medium according to claim 6 , the medium further comprising: program code to automatically generate, based on the business process definition, a second user interface associated with a second one of the plurality of steps of the processor-executable business process embodied as code executable to present the second user interface, the second user interface comprising a second set of user interface controls, wherein each user interface control in the second set of user interface controls corresponds to one of a plurality of actions that are associated with the second one of the plurality of steps and is selectable to execute the corresponding one of the plurality of actions associated with the second one of the plurality of steps; and program code to automatically generate, based on the business process definition, a third user interface, the third user interface being embodied as code executable to present the third user interface comprising the first user interface and the second user interface. 8. A medium according to claim 7 , the medium further-comprising: program code to present the first user interface and the second user interface in a same workspace.
| 0.5 |
9,852,448 | 5 | 6 |
5. The method of claim 3 , wherein: each set of search results stored in the target query record includes a feedback indicator, and the feedback indicator indicates whether a user selected one or more of the search results in response to being presented with the search results.
|
5. The method of claim 3 , wherein: each set of search results stored in the target query record includes a feedback indicator, and the feedback indicator indicates whether a user selected one or more of the search results in response to being presented with the search results. 6. The method of claim 5 , wherein determining the query recommendation score includes: determining a click-through rate associated with the search query based on the feedback indicators stored in the target query record; and determining the query recommendation score based on the click-through rate.
| 0.5 |
8,751,963 | 21 | 22 |
21. A computer-program product, tangibly embodied in a non-transitory machine-readable medium, including instructions configured to cause a data processing apparatus to: receive raw data on a computing device; divide the raw data into a set of time stamped searchable events; store the set of events in an indexed data store; apply an extraction rule to the set of events, wherein an extraction rule defines a field within an event from which to extract a value; extract a value from a field within an event, wherein the value is extracted using the extraction rule; and display the event in a graphical interface, wherein the value extracted from the field within the event is emphasized.
|
21. A computer-program product, tangibly embodied in a non-transitory machine-readable medium, including instructions configured to cause a data processing apparatus to: receive raw data on a computing device; divide the raw data into a set of time stamped searchable events; store the set of events in an indexed data store; apply an extraction rule to the set of events, wherein an extraction rule defines a field within an event from which to extract a value; extract a value from a field within an event, wherein the value is extracted using the extraction rule; and display the event in a graphical interface, wherein the value extracted from the field within the event is emphasized. 22. The computer-program product of claim 21 , wherein the set of events includes unstructured machine data.
| 0.88843 |
9,858,527 | 1 | 2 |
1. A computer-implemented method for making a decision in a military environment in accordance with sensory data, wherein the method is performed iteratively in separate time-steps, the method comprising: implementing a plurality of electromagnetic sensors for continually performing electromagnetic sensing in relation to a target, said plurality of electromagnetic sensors including at least one radar sensor and at least one high frequency direction finder, each said high frequency direction finder being capable of sensing electromagnetic signals emitted by said target, each said electromagnetic sensor being capable of transmitting a sensory report; receiving a plurality of respective data streams over time in separate time-steps from said plurality of electromagnetic sensors, said plurality of respective data streams containing information pertaining at least to location and identification of said target, each said data stream received from said radar sensor containing information pertaining at least to location of said target, each said data stream received from said high frequency direction finder containing information pertaining at least to identification of said target, each said data stream including a sequence of said sensory reports transmitted by a said electromagnetic sensor over time in said separate time-steps, wherein each said electromagnetic sensor transmits said sequence of said sensor reports over time in said separate time-steps, and wherein said sensory reports received from said plurality of electromagnetic sensors in a current said time-step are transmitted by said plurality of electromagnetic sensors more recently than are said sensory reports received from said plurality of electromagnetic sensors in a previous said time-step; associating a confidence estimate with said sequence of said sensory reports received over time from each said electromagnetic sensor, wherein said associating of said confidence estimate includes consideration of a consistency of said sequence of said sensory reports received over time from said electromagnetic sensor; producing a data fusion of the received said sensory reports and the associated said confidence estimates, said data fusion including a summative sensory report and a confidence level, wherein said confidence level includes consideration of the respective said consistencies of said sequences of said sensory reports received over time from said at least one radar sensor and said at least one high frequency direction finder; determining a plurality of permissible actions to be taken with respect to said target, said permissible actions to be decided upon by a decision-maker, wherein said determining of said permissible actions is based on said data fusion and includes applying rules of engagement to said data fusion; scoring each said permissible action, said scoring of each said permissible action including considering a probability of success, a preference, and an urgency, said probability of success being a probability of success of said permissible action as perceived by said decision-maker, said preference being a preference of said decision-maker with respect to said permissible action, said urgency being an urgency to perform said permissible action as perceived by said decision-maker, said preference including a bias of said decision-maker with respect to said permissible action, each said permissible action having three score values, said three score values being a first score value, a second score value, and a third score value, said first score value representing said probability of success, said second score value representing said preference, said third score value representing said urgency; establishing a threshold value of acceptability with respect to each of said three score values; filtering out each said permissible action for which at least one of said three score values is unacceptable based on a said threshold value of acceptability, said filtering out resulting in a plurality of remaining said permissible actions; calculating an action goodness magnitude for each of the remaining said permissible actions, wherein: said calculating of said action goodness magnitude takes into consideration said probability of success, said preference, and said urgency; said urgency includes a temporal said urgency, a resource said urgency, and an opportunity said urgency; the temporal said urgency relates to available time to commit to a said permissible action before effectiveness of said permissible action is diminished; the resource said urgency relates to consequence of scarcity of a diminishing resource; the opportunity said urgency relates to comparison between future said probability of success and present said probability of success; said calculating of said action goodness magnitude includes calculating an overall said urgency, the overall said urgency taking into consideration the temporal said urgency, the resource said urgency, and the opportunity said urgency; selecting a best said permissible action from among the remaining said permissible actions, wherein said selecting of a best said permissible action is based on the respective goodness magnitudes of at least two remaining said permissible actions.
|
1. A computer-implemented method for making a decision in a military environment in accordance with sensory data, wherein the method is performed iteratively in separate time-steps, the method comprising: implementing a plurality of electromagnetic sensors for continually performing electromagnetic sensing in relation to a target, said plurality of electromagnetic sensors including at least one radar sensor and at least one high frequency direction finder, each said high frequency direction finder being capable of sensing electromagnetic signals emitted by said target, each said electromagnetic sensor being capable of transmitting a sensory report; receiving a plurality of respective data streams over time in separate time-steps from said plurality of electromagnetic sensors, said plurality of respective data streams containing information pertaining at least to location and identification of said target, each said data stream received from said radar sensor containing information pertaining at least to location of said target, each said data stream received from said high frequency direction finder containing information pertaining at least to identification of said target, each said data stream including a sequence of said sensory reports transmitted by a said electromagnetic sensor over time in said separate time-steps, wherein each said electromagnetic sensor transmits said sequence of said sensor reports over time in said separate time-steps, and wherein said sensory reports received from said plurality of electromagnetic sensors in a current said time-step are transmitted by said plurality of electromagnetic sensors more recently than are said sensory reports received from said plurality of electromagnetic sensors in a previous said time-step; associating a confidence estimate with said sequence of said sensory reports received over time from each said electromagnetic sensor, wherein said associating of said confidence estimate includes consideration of a consistency of said sequence of said sensory reports received over time from said electromagnetic sensor; producing a data fusion of the received said sensory reports and the associated said confidence estimates, said data fusion including a summative sensory report and a confidence level, wherein said confidence level includes consideration of the respective said consistencies of said sequences of said sensory reports received over time from said at least one radar sensor and said at least one high frequency direction finder; determining a plurality of permissible actions to be taken with respect to said target, said permissible actions to be decided upon by a decision-maker, wherein said determining of said permissible actions is based on said data fusion and includes applying rules of engagement to said data fusion; scoring each said permissible action, said scoring of each said permissible action including considering a probability of success, a preference, and an urgency, said probability of success being a probability of success of said permissible action as perceived by said decision-maker, said preference being a preference of said decision-maker with respect to said permissible action, said urgency being an urgency to perform said permissible action as perceived by said decision-maker, said preference including a bias of said decision-maker with respect to said permissible action, each said permissible action having three score values, said three score values being a first score value, a second score value, and a third score value, said first score value representing said probability of success, said second score value representing said preference, said third score value representing said urgency; establishing a threshold value of acceptability with respect to each of said three score values; filtering out each said permissible action for which at least one of said three score values is unacceptable based on a said threshold value of acceptability, said filtering out resulting in a plurality of remaining said permissible actions; calculating an action goodness magnitude for each of the remaining said permissible actions, wherein: said calculating of said action goodness magnitude takes into consideration said probability of success, said preference, and said urgency; said urgency includes a temporal said urgency, a resource said urgency, and an opportunity said urgency; the temporal said urgency relates to available time to commit to a said permissible action before effectiveness of said permissible action is diminished; the resource said urgency relates to consequence of scarcity of a diminishing resource; the opportunity said urgency relates to comparison between future said probability of success and present said probability of success; said calculating of said action goodness magnitude includes calculating an overall said urgency, the overall said urgency taking into consideration the temporal said urgency, the resource said urgency, and the opportunity said urgency; selecting a best said permissible action from among the remaining said permissible actions, wherein said selecting of a best said permissible action is based on the respective goodness magnitudes of at least two remaining said permissible actions. 2. The computer-implemented method of claim 1 , wherein the method further comprises: comparing a best said permissible action selected in a current said time-step to a best said permissible action selected in a previous said time-step, wherein said comparing of the best said permissible action selected in the current said time-step to the best said permissible action selected in a previous said time-step includes comparing the respective goodness magnitudes of the best said permissible action selected in the current said time-step and the best said permissible action selected in the previous said time-step; determining whether to sustain the course of action that comports with the best said permissible action selected in the previous said time-step, or to change the course of action to comport with the best said permissible action selected in the current said time-step.
| 0.5 |
9,679,067 | 1 | 9 |
1. A method performed by one or more computers, the method comprising: receiving, at a server system, data indicating a first user's rating for a content item; storing, by the server system, data that associates the first user's rating with the content item; receiving, by the server system, a search query from a device associated with a second user; and providing, by the server system, search results in response to the search query, the search results indicating the content item and one or more other content items, wherein the search results are selected or ranked based at least in part on the first user's rating for the content item and ratings that other users provided for the content item.
|
1. A method performed by one or more computers, the method comprising: receiving, at a server system, data indicating a first user's rating for a content item; storing, by the server system, data that associates the first user's rating with the content item; receiving, by the server system, a search query from a device associated with a second user; and providing, by the server system, search results in response to the search query, the search results indicating the content item and one or more other content items, wherein the search results are selected or ranked based at least in part on the first user's rating for the content item and ratings that other users provided for the content item. 9. The method of claim 1 , further comprising determining, based at least in part on a friend list, that the first user and the second user are friends; wherein providing the search results in response to the search query comprises: in response to determining that the first user and the second user are friends, using the first user's rating for the content item to provide the search results in response to the search query.
| 0.5 |
8,429,179 | 15 | 16 |
15. A non-transitory computer readable medium, comprising instructions for: receiving an input from one or more of the plurality of data sources, wherein the input is structured data; creating a graph representation of the input by translating the structured data to a graph representation of the structured data, creating a source ontology based on the graph representation of the structured data and creating the graph representation of the input based on the source ontology and the graph representation of the structured data; obtaining a graph representation of a domain ontology, wherein the domain ontology comprises a set of concepts and a set of relationships and the domain ontology comprises a Simple Knowledge Organization System (SKOS) representation of the unified medical language system (UMLS); mapping the graph representation of the input to the graph representation of the domain ontology to create a unified graph comprising the graph representation of the input and the graph of the domain ontology; constructing a query based on at least one of the set of concepts or at least one of the set of relationships of the domain ontology; and searching the unified graph based on the query to obtain data of the input associated with at least one concept or the at least one relationship.
|
15. A non-transitory computer readable medium, comprising instructions for: receiving an input from one or more of the plurality of data sources, wherein the input is structured data; creating a graph representation of the input by translating the structured data to a graph representation of the structured data, creating a source ontology based on the graph representation of the structured data and creating the graph representation of the input based on the source ontology and the graph representation of the structured data; obtaining a graph representation of a domain ontology, wherein the domain ontology comprises a set of concepts and a set of relationships and the domain ontology comprises a Simple Knowledge Organization System (SKOS) representation of the unified medical language system (UMLS); mapping the graph representation of the input to the graph representation of the domain ontology to create a unified graph comprising the graph representation of the input and the graph of the domain ontology; constructing a query based on at least one of the set of concepts or at least one of the set of relationships of the domain ontology; and searching the unified graph based on the query to obtain data of the input associated with at least one concept or the at least one relationship. 16. The computer readable medium of claim 15 , further comprising instructions for constructing a survey based on a survey ontology, including adding concepts to the survey ontology, wherein the added concepts are mapped to the domain ontology.
| 0.5 |
9,514,104 | 1 | 5 |
1. A method implemented by one or more servers to provide access to an electronic document, the method comprising: intercepting, at a request handler associated with a server, a request received over a wide-area network from a client computing device to open an electronic document available in a document library accessible by the server, wherein the request, if not intercepted, would cause the specific software application to open the electronic document, wherein the request is generated when the user selects a link from a webpage, and responsive to the electronic document being closed, presenting the webpage; determining, without user interaction, that the electronic document should be provided through a dynamic server-generated web page instead of being accessed by the specific software application; dynamically altering, without user interaction, at the request handler, the request to include a location of a dynamic server-generated browser page capable of accessing the electronic document; and transmitting data to the client computing device over the wide area network for rendering the electronic document in the web browser on the client computing device.
|
1. A method implemented by one or more servers to provide access to an electronic document, the method comprising: intercepting, at a request handler associated with a server, a request received over a wide-area network from a client computing device to open an electronic document available in a document library accessible by the server, wherein the request, if not intercepted, would cause the specific software application to open the electronic document, wherein the request is generated when the user selects a link from a webpage, and responsive to the electronic document being closed, presenting the webpage; determining, without user interaction, that the electronic document should be provided through a dynamic server-generated web page instead of being accessed by the specific software application; dynamically altering, without user interaction, at the request handler, the request to include a location of a dynamic server-generated browser page capable of accessing the electronic document; and transmitting data to the client computing device over the wide area network for rendering the electronic document in the web browser on the client computing device. 5. The method of claim 1 , further comprising: requesting information from the client computing device about whether the client computing device has access to the specific software application capable of accessing the document directly on the client computing device.
| 0.620739 |
9,928,466 | 1 | 3 |
1. A computer-implemented method, the method comprising: obtaining a collection of phrases from at least one electronic resource; generating, from a collection of search queries, respective counts of each n-gram of terms that appears in search queries in the collection of search queries; determining, based at least in part on the collection of phrases and the respective counts of the n-grams, a respective segmentation for each search query in the collection of search queries, wherein the search query comprises a plurality of terms, and wherein the segmentation identifies at least one phrase using at least one term of the search query; storing, in a database of a service provider environment, the service provider environment including a plurality electronic resources available over a network, the respective segmentation for each search query in the collection of search queries to be used as training data for training a predictive model, wherein the training data includes a plurality of search queries in the collection of search queries as an input and the corresponding segmentation for the search queries as an output; and generating the predictive model using at least the training data, wherein the trained predictive model is configured to predict respective segmentations for new search queries.
|
1. A computer-implemented method, the method comprising: obtaining a collection of phrases from at least one electronic resource; generating, from a collection of search queries, respective counts of each n-gram of terms that appears in search queries in the collection of search queries; determining, based at least in part on the collection of phrases and the respective counts of the n-grams, a respective segmentation for each search query in the collection of search queries, wherein the search query comprises a plurality of terms, and wherein the segmentation identifies at least one phrase using at least one term of the search query; storing, in a database of a service provider environment, the service provider environment including a plurality electronic resources available over a network, the respective segmentation for each search query in the collection of search queries to be used as training data for training a predictive model, wherein the training data includes a plurality of search queries in the collection of search queries as an input and the corresponding segmentation for the search queries as an output; and generating the predictive model using at least the training data, wherein the trained predictive model is configured to predict respective segmentations for new search queries. 3. The computer-implemented method of claim 1 , further comprising: providing at least one different search query as an input to the predictive model, wherein the different search query comprises a plurality of terms; and receiving, from the predictive model, a predicted segmentation for the different search query, wherein the predicted segmentation identifies at least one phrase using at least one term of the different search query.
| 0.627133 |
7,788,578 | 1 | 6 |
1. A computer-implemented method for modifying appearance and behavior of a markup document having components, comprising: instantiating a web parts page; wherein the web parts page includes web part zones that include one or more web parts; instantiating a tool pane including tool parts for modifying the web parts page by adding code directly within code of the instantiated web parts page such that the instantiation of the tool pane changes a hierarchy of the web parts page; selecting tool parts that provide different functions to include within the tool pane for modifying the web parts page; wherein at least one of the different functions effect the layout of the web parts page; wherein at least another one of the different functions effect the appearance of the web parts page; wherein at least another one of the different functions changes a setting of a web part within the web parts page; and wherein at least another one of the different functions changes a number of web parts included in the web parts page; displaying the tool pane with the selected tool parts as part of the web parts page such that the tool pane is displayed within the web parts page that is modified using one of the provided tool parts; receiving an input to perform one of the functions that is associated with one of the tool parts that is included within the tool pane; wherein performing the function modifies the web parts page; and dynamically modifying the display of the web parts page and the tool pane in response to the modification of the web parts page such that different tool parts are included within the tool pane within the web parts page; wherein the same web parts page remains displayed.
|
1. A computer-implemented method for modifying appearance and behavior of a markup document having components, comprising: instantiating a web parts page; wherein the web parts page includes web part zones that include one or more web parts; instantiating a tool pane including tool parts for modifying the web parts page by adding code directly within code of the instantiated web parts page such that the instantiation of the tool pane changes a hierarchy of the web parts page; selecting tool parts that provide different functions to include within the tool pane for modifying the web parts page; wherein at least one of the different functions effect the layout of the web parts page; wherein at least another one of the different functions effect the appearance of the web parts page; wherein at least another one of the different functions changes a setting of a web part within the web parts page; and wherein at least another one of the different functions changes a number of web parts included in the web parts page; displaying the tool pane with the selected tool parts as part of the web parts page such that the tool pane is displayed within the web parts page that is modified using one of the provided tool parts; receiving an input to perform one of the functions that is associated with one of the tool parts that is included within the tool pane; wherein performing the function modifies the web parts page; and dynamically modifying the display of the web parts page and the tool pane in response to the modification of the web parts page such that different tool parts are included within the tool pane within the web parts page; wherein the same web parts page remains displayed. 6. The computer-implemented method of claim 1 , further comprising wrapping the tool pane in a first cell of a table and the web parts in a second cell of the table.
| 0.56117 |
8,346,536 | 43 | 64 |
43. A method performed by a multi-lingual information retrieval system for searching a set of documents in a target language when search terms in a source language different from the target language are supplied, said method comprising: translating, by the multi-lingual information retrieval system, a search query in the source language into a plurality of search queries in the target language; searching, by the multi-lingual information retrieval system, a target language document set in the target language using each of the plurality of target language search queries, to return a plurality of target language documents; translating, by the multi-lingual information retrieval system, the plurality of target language documents into corresponding translated documents in the source language; searching, by the multi-lingual information retrieval system, a source language document set in the source language using each of a plurality of synonyms of the source language search terms saved in a synonym database, to return a plurality of source language documents; translating, by the multi-lingual information retrieval system, the plurality of the source language documents into corresponding translated documents in the target language, maintaining, by the multi-lingual information retrieval system, a vote store, wherein for each term having a plurality of translation options, each translation option is associated with a corresponding number of votes and the numbers of votes associated with the translation options are stored in the vote store; and selecting, by the multi-lingual information retrieval system, the translation option with the most votes for the term as the primary translation result, wherein remaining translation options for the term are represented in the translated document as one of meta-data or hidden field.
|
43. A method performed by a multi-lingual information retrieval system for searching a set of documents in a target language when search terms in a source language different from the target language are supplied, said method comprising: translating, by the multi-lingual information retrieval system, a search query in the source language into a plurality of search queries in the target language; searching, by the multi-lingual information retrieval system, a target language document set in the target language using each of the plurality of target language search queries, to return a plurality of target language documents; translating, by the multi-lingual information retrieval system, the plurality of target language documents into corresponding translated documents in the source language; searching, by the multi-lingual information retrieval system, a source language document set in the source language using each of a plurality of synonyms of the source language search terms saved in a synonym database, to return a plurality of source language documents; translating, by the multi-lingual information retrieval system, the plurality of the source language documents into corresponding translated documents in the target language, maintaining, by the multi-lingual information retrieval system, a vote store, wherein for each term having a plurality of translation options, each translation option is associated with a corresponding number of votes and the numbers of votes associated with the translation options are stored in the vote store; and selecting, by the multi-lingual information retrieval system, the translation option with the most votes for the term as the primary translation result, wherein remaining translation options for the term are represented in the translated document as one of meta-data or hidden field. 64. The method of claim 43 , further comprising: translating a source language document into a plurality of translated documents in the target language; and storing the source language document and corresponding target language translated documents in a multi-lingual document base.
| 0.685969 |
7,624,101 | 17 | 18 |
17. The system of claim 16 , where the contact information comprises the street address and the telephone number of the one business and the server device: accesses the search index to identify the street address and the telephone number associated with a search result associated with the one business, and provides the search result, the street address, the telephone number and a link to a map associated with the address to the user.
|
17. The system of claim 16 , where the contact information comprises the street address and the telephone number of the one business and the server device: accesses the search index to identify the street address and the telephone number associated with a search result associated with the one business, and provides the search result, the street address, the telephone number and a link to a map associated with the address to the user. 18. The system of claim 17 , where the server device: determines whether information in the memory associated with another one of the plurality of businesses includes information identifying a plurality of geographic locations, and when a generated search result identifies an other web page associated with the other business and the memory includes information identifying a plurality of geographic locations associated with the other business, provides the link to the local search system to the user with a search result associated with the other business.
| 0.5 |
7,779,397 | 16 | 17 |
16. The computer-implemented system of claim 15 , wherein creating the second interface component includes creating a member of the second interface component that defines a cast of a second, different datum to a desired type.
|
16. The computer-implemented system of claim 15 , wherein creating the second interface component includes creating a member of the second interface component that defines a cast of a second, different datum to a desired type. 17. The computer-implemented system of claim 16 , further comprising using the second interface component to strongly type the untyped datum.
| 0.5 |
7,873,947 | 3 | 4 |
3. The method in claim 2 further comprising calculating a similarity score for said pair of said programs by applying a similarity function to the feature frequency vectors extracted for each said program.
|
3. The method in claim 2 further comprising calculating a similarity score for said pair of said programs by applying a similarity function to the feature frequency vectors extracted for each said program. 4. The method in claim 3 wherein said similarity function is TFxIDF/cosine.
| 0.5 |
9,251,125 | 15 | 17 |
15. An apparatus for managing text, the apparatus comprising: a processor unit, a memory, and a computer readable storage device; first program instructions to identify a log of research and a text in a document that matches the log of research; and second program instructions to determine a mismatch exists between a search result for the text and the log of research, and if so, modify the text in the document based on the log of research, wherein the first program instructions and the second program instructions are stored in the computer readable storage device for execution by the processor unit via the memory.
|
15. An apparatus for managing text, the apparatus comprising: a processor unit, a memory, and a computer readable storage device; first program instructions to identify a log of research and a text in a document that matches the log of research; and second program instructions to determine a mismatch exists between a search result for the text and the log of research, and if so, modify the text in the document based on the log of research, wherein the first program instructions and the second program instructions are stored in the computer readable storage device for execution by the processor unit via the memory. 17. The apparatus of claim 15 , wherein the first program instructions to identify the log of research and the text in the document that matches the log of research comprises: program instructions to identify a first number of terms in the document and a second number of terms in the log of research; and program instructions to identify a group of terms in the first number of terms that are also in the second number of terms, wherein locations for each of the group of terms in the log of research identify the log of research matching the text in the document, and wherein other locations for each of the group of terms in the document identify the text in the document.
| 0.5 |
8,997,220 | 1 | 3 |
1. A method comprising: identifying a plurality of suspicious websites from among a plurality of websites; extracting a set of lexical features for each website among from the plurality of suspicious websites; clustering each website from among the plurality of suspicious websites into a plurality of groups based on the set of lexical features extracted for each website; performing group analysis on each group from among the plurality of groups to identify at least one suspicious group that provides confirmation of at least one search engine optimization (SEO) attack; and using the identified at least one suspicious group to identify a corresponding group of compromised servers targeted by the SEO attack, wherein the corresponding group of compromised servers comprises a subset of servers that exhibit a change in behavior, indicative of the SEO attack.
|
1. A method comprising: identifying a plurality of suspicious websites from among a plurality of websites; extracting a set of lexical features for each website among from the plurality of suspicious websites; clustering each website from among the plurality of suspicious websites into a plurality of groups based on the set of lexical features extracted for each website; performing group analysis on each group from among the plurality of groups to identify at least one suspicious group that provides confirmation of at least one search engine optimization (SEO) attack; and using the identified at least one suspicious group to identify a corresponding group of compromised servers targeted by the SEO attack, wherein the corresponding group of compromised servers comprises a subset of servers that exhibit a change in behavior, indicative of the SEO attack. 3. The method of claim 1 , wherein, with regard to a uniform resource locator (URL), the change in behavior comprises at least one from among the group comprising a new URL and a new URL structure.
| 0.75 |
8,150,838 | 1 | 3 |
1. A computer program product comprising a computer useable storage medium having a computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive a first query with a first query data format and a second query with a second query data format, the first query data format being distinct from the second query data format; generate a common metadata based query object by converting the first query and the second query into a common metadata format that includes first metadata for the first query, second metadata for the second query, first data associated with the first query, and second data associated with the second query; wherein the metadata includes a condition value for a condition in the query; extract the first metadata and the second metadata from the common metadata based query object; generate a first application specific query based on the first metadata and a first application to which the first query is intended; generate a second application specific query based on the second metadata and a second application to which the second query is intended; and wherein the application is configured for a specific enterprise information system.
|
1. A computer program product comprising a computer useable storage medium having a computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive a first query with a first query data format and a second query with a second query data format, the first query data format being distinct from the second query data format; generate a common metadata based query object by converting the first query and the second query into a common metadata format that includes first metadata for the first query, second metadata for the second query, first data associated with the first query, and second data associated with the second query; wherein the metadata includes a condition value for a condition in the query; extract the first metadata and the second metadata from the common metadata based query object; generate a first application specific query based on the first metadata and a first application to which the first query is intended; generate a second application specific query based on the second metadata and a second application to which the second query is intended; and wherein the application is configured for a specific enterprise information system. 3. The computer program product of claim 1 , wherein the metadata includes an expected return property.
| 0.682099 |
7,904,445 | 3 | 7 |
3. The method of claim 2 wherein the one or more relationships are established using a cluster analysis.
|
3. The method of claim 2 wherein the one or more relationships are established using a cluster analysis. 7. The method of claim 3 wherein the cluster analysis further comprises conceptual clustering.
| 0.534653 |
7,840,409 | 16 | 18 |
16. The computer program product of claim 13 wherein sorting, by the VoiceXML interpreter, the plurality of recognition results in dependence upon the weight for each recognition result comprises sorting, by the VoiceXML interpreter, the plurality of recognition results in dependence upon the weight for each recognition result in accordance with a sorting attribute for the grammar defining a sorting scheme, the sorting attribute specified by the multimodal application using a VoiceXML <grammar> element.
|
16. The computer program product of claim 13 wherein sorting, by the VoiceXML interpreter, the plurality of recognition results in dependence upon the weight for each recognition result comprises sorting, by the VoiceXML interpreter, the plurality of recognition results in dependence upon the weight for each recognition result in accordance with a sorting attribute for the grammar defining a sorting scheme, the sorting attribute specified by the multimodal application using a VoiceXML <grammar> element. 18. The computer program product of claim 16 wherein the sorting attribute specifies sorting the plurality of recognition results according to an ECMAScript script.
| 0.57513 |
9,251,217 | 1 | 5 |
1. A method, comprising: receiving a search query from a member of a social network; identifying two or more categories of data within the social network that include information satisfying the received search query; ranking the identified two or more categories of data based on a selection criteria associated with the member of the social network and including a quality metric assigned to the information satisfying the received search query within the categories of data, the quality metric including: a percentage of users who have previously selected the at least one search query suggestion; and a percentage of users who have previously selected displayed results associated with the search query; and presenting at least one search query suggestion based on the ranking of the identified categories of data within the social network.
|
1. A method, comprising: receiving a search query from a member of a social network; identifying two or more categories of data within the social network that include information satisfying the received search query; ranking the identified two or more categories of data based on a selection criteria associated with the member of the social network and including a quality metric assigned to the information satisfying the received search query within the categories of data, the quality metric including: a percentage of users who have previously selected the at least one search query suggestion; and a percentage of users who have previously selected displayed results associated with the search query; and presenting at least one search query suggestion based on the ranking of the identified categories of data within the social network. 5. The method of claim 1 , wherein ranking the identified two or more categories of data based on a selection criteria includes ranking the identified two or more categories based on historical user selections of the information within the two or more categories of data.
| 0.534364 |
8,429,740 | 17 | 19 |
17. A document presentation system, the document presentation system comprising: one or more processors; system memory; a document database; a search database; a document collection system that: collects documents from one or more data sources; tags documents, including for each collected document: tags items in said document for which said document can be searched; and tags portions of said document as eligible for alteration, based on classification of said portions, when presented to a user that does not have access to the entire document contents; stores the tagged documents in a search database for use in generating search results that match received search requests; and stores copies of collected documents in the document database for use in rebuilding representations of a collected document for a user that does not have permission to view a full version of the collected document a presentation engine for presenting documents that: receives raw search results corresponding to search terms entered of search terms by a user, the raw search results including references to one or more collected documents; for each of the one or more referenced documents: determining access permissions for said user from an access policy, said access policy defining one or more portions of the document for which said user does not have permission to access; creating altered search results by redacting any of said one or more portions of said document for which said user does not have permission to access from said raw search results; and presenting said altered search results in response to said search request; receiving a selection of said altered search result for a document from among said one or more referenced documents; and building an altered representation of said document from said copy of said document stored in said document database, said altered representation modifying said one or more portions of said document for which said user does not have permission to access by replacing said one or more portions of said document with other data.
|
17. A document presentation system, the document presentation system comprising: one or more processors; system memory; a document database; a search database; a document collection system that: collects documents from one or more data sources; tags documents, including for each collected document: tags items in said document for which said document can be searched; and tags portions of said document as eligible for alteration, based on classification of said portions, when presented to a user that does not have access to the entire document contents; stores the tagged documents in a search database for use in generating search results that match received search requests; and stores copies of collected documents in the document database for use in rebuilding representations of a collected document for a user that does not have permission to view a full version of the collected document a presentation engine for presenting documents that: receives raw search results corresponding to search terms entered of search terms by a user, the raw search results including references to one or more collected documents; for each of the one or more referenced documents: determining access permissions for said user from an access policy, said access policy defining one or more portions of the document for which said user does not have permission to access; creating altered search results by redacting any of said one or more portions of said document for which said user does not have permission to access from said raw search results; and presenting said altered search results in response to said search request; receiving a selection of said altered search result for a document from among said one or more referenced documents; and building an altered representation of said document from said copy of said document stored in said document database, said altered representation modifying said one or more portions of said document for which said user does not have permission to access by replacing said one or more portions of said document with other data. 19. The system of claim 17 , said presentation engine that further: receives credentials from said user; presents said credentials to a data source; and receives said access policy from said data source.
| 0.509662 |
9,397,972 | 4 | 15 |
4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device.
|
4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device. 15. The method of claim 4 , wherein the step of generating moving images of the well-known animation character comprises animating images of the well-known animation character.
| 0.702703 |
8,495,491 | 1 | 3 |
1. In an operating platform having an operating platform configuration and an associated locale, a locale and operating platform independent font selection method comprising the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale.
|
1. In an operating platform having an operating platform configuration and an associated locale, a locale and operating platform independent font selection method comprising the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale. 3. The method of claim 1 , wherein the identifying step comprises the steps of: determining an order of priority for multiple entries in said font properties file for said desired font; and, testing each of said entries in said order of priority until an entry is identified which supports at least one of the operating platform configuration and the associated locale.
| 0.581633 |
7,725,308 | 1 | 5 |
1. A method of creating a grammar for a natural language dialog system from a descriptor of a device, the method comprising: creating, on a computing device, instances of universal grammar rules for the natural-language dialog as a new grammar based on the device descriptor, the universal grammar rules including a plurality of selected domain objects, each of the selected domain objects including one or more attributes associated with the device, wherein the creating comprises: creating a bridging rule for each broad category of queries in the universal grammar rules; selectively including domain objects as domain objects in the new grammar; creating bridging rules for domain object attributes; and selectively including attributes in the new grammar; wherein the device descriptor specifies functions of the device that are available to an end user through the domain objects for implementing the grammar.
|
1. A method of creating a grammar for a natural language dialog system from a descriptor of a device, the method comprising: creating, on a computing device, instances of universal grammar rules for the natural-language dialog as a new grammar based on the device descriptor, the universal grammar rules including a plurality of selected domain objects, each of the selected domain objects including one or more attributes associated with the device, wherein the creating comprises: creating a bridging rule for each broad category of queries in the universal grammar rules; selectively including domain objects as domain objects in the new grammar; creating bridging rules for domain object attributes; and selectively including attributes in the new grammar; wherein the device descriptor specifies functions of the device that are available to an end user through the domain objects for implementing the grammar. 5. The method of claim 1 wherein an attribute of a domain object specifies one or more grammars available for download.
| 0.819149 |
9,219,716 | 16 | 19 |
16. A system comprising: a processor and a non-transitory computer-readable medium storing executable computer instructions configured to, when executed by the processor, cause the system to perform steps comprising: accessing a string of characters; producing an intermediate string of characters by replacing a first portion of the string of characters with a first token mapped to a value of the first portion of the string of characters by a first token table; and producing a tokenized string of characters by replacing a second portion of the intermediate string of characters with a second token mapped to a value of the second portion of the intermediate string of characters by a second token table, wherein the second portion of the intermediate string of characters includes at least one character replaced by the first token.
|
16. A system comprising: a processor and a non-transitory computer-readable medium storing executable computer instructions configured to, when executed by the processor, cause the system to perform steps comprising: accessing a string of characters; producing an intermediate string of characters by replacing a first portion of the string of characters with a first token mapped to a value of the first portion of the string of characters by a first token table; and producing a tokenized string of characters by replacing a second portion of the intermediate string of characters with a second token mapped to a value of the second portion of the intermediate string of characters by a second token table, wherein the second portion of the intermediate string of characters includes at least one character replaced by the first token. 19. The system of claim 16 , wherein the second token is not equivalent to the first token.
| 0.847315 |
6,155,834 | 44 | 45 |
44. The article of manufacture according to claim 43, further comprising: second computer-readable program code means for iterating for iterating the functions performed by said computer-readable program code means for presenting, said computer-readable program code means for inputting, said computer-readable program code means for measuring, said computer-readable program code means for determining, and said computer-readable program code means for providing until the response input by said computer-readable program code means for inputting is the correct response as determined by said computer-readable program code means for determining; said computer-readable program code means for calculating student performance based on a number of iterations performed by said second computer-readable program code means for iterating until the correct response was inputted in said computer-readable program code means for inputting, a difficulty level of the test presented by said computer-readable program code means for presenting, and the response time measured by said computer-readable program code means for measuring.
|
44. The article of manufacture according to claim 43, further comprising: second computer-readable program code means for iterating for iterating the functions performed by said computer-readable program code means for presenting, said computer-readable program code means for inputting, said computer-readable program code means for measuring, said computer-readable program code means for determining, and said computer-readable program code means for providing until the response input by said computer-readable program code means for inputting is the correct response as determined by said computer-readable program code means for determining; said computer-readable program code means for calculating student performance based on a number of iterations performed by said second computer-readable program code means for iterating until the correct response was inputted in said computer-readable program code means for inputting, a difficulty level of the test presented by said computer-readable program code means for presenting, and the response time measured by said computer-readable program code means for measuring. 45. The article of manufacture according to claim 44, further comprising: computer-readable program code means for providing the student with a show button, wherein activating the show button causes said computer-readable program code means for presenting to display the target word for the show interval, computer-readable program code means for providing the student with a say button, wherein activating the say button causes said computer-readable program code means for presenting to aurally announce the target word, said computer-readable program code means for calculating student performance based on whether the show button or the say button has been activated, a number of iterations performed by said second computer-readable program code means for iterating until the correct response was inputted by said computer-readable program code means for inputting, the difficulty level of the test presented by said computer-readable program code means for presenting, and the response time measured by said computer-readable program code means for measuring the response time.
| 0.5 |
9,519,731 | 12 | 17 |
12. A non-transitory computer readable medium having computer readable instructions stored thereon that are executable by a processor to: determine a predictive heating, ventilation, and air conditioning (HVAC) model for a building based on: a description of the building received from a user, wherein the description of the building includes variable operation conditions of a number of components of an HVAC system of the building; and an HVAC meta-model, wherein the HVAC meta-model is a building independent HVAC model description; and use the predictive HVAC model for the building to control the HVAC system of the building based on predicted operating conditions of the number of components of the HVAC system, wherein the predicted operating conditions include a predicted air temperature, a predicted air velocity, and a predicted air humidity of an air handling unit of the HVAC system.
|
12. A non-transitory computer readable medium having computer readable instructions stored thereon that are executable by a processor to: determine a predictive heating, ventilation, and air conditioning (HVAC) model for a building based on: a description of the building received from a user, wherein the description of the building includes variable operation conditions of a number of components of an HVAC system of the building; and an HVAC meta-model, wherein the HVAC meta-model is a building independent HVAC model description; and use the predictive HVAC model for the building to control the HVAC system of the building based on predicted operating conditions of the number of components of the HVAC system, wherein the predicted operating conditions include a predicted air temperature, a predicted air velocity, and a predicted air humidity of an air handling unit of the HVAC system. 17. The computer readable medium of claim 12 , wherein the HVAC meta-model is received from a control engineer.
| 0.671598 |
6,023,578 | 32 | 33 |
32. The computer program product for generating according to claim 17, wherein said computer readable program code means for mapping further comprises computer readable program code means for mapping the first package to at least one of a file and a module in the data model.
|
32. The computer program product for generating according to claim 17, wherein said computer readable program code means for mapping further comprises computer readable program code means for mapping the first package to at least one of a file and a module in the data model. 33. The computer program product for generating according to claim 32, wherein said first package comprises at least one class; and wherein said computer readable program code means for mapping further comprises computer readable program code means for mapping the at least one class of the first package into an interface in the data model.
| 0.5 |
8,739,019 | 15 | 17 |
15. A computer program product for presenting an electronic document, wherein said electronic document is defined as at least one of a news story, an informational article, and an electronic book, wherein a manual choosing by a user of select text segments within said electronic document is synchronized through a scrolling-oriented multimedia control with presentations of related media content, including an associated video configured primarily to illustrate at least part of a primary body of text in said electronic document, and wherein said scrolling-oriented multimedia control commences displaying each successive presentation of visual imagery automatically no later than effectively simultaneous to a reading of each associated text segment by said user, said computer program product comprising: a computer processor having a computer output device; a non-transitory computer-useable storage medium having a computer-readable program embedded therein, said computer-readable program being executable by said computer processor, said computer-readable program including at least part of said scrolling-oriented multimedia control; said computer program arranged to cause said computer processor to store on said non-transitory computer-useable storage medium and display on said computer output device a current presentation of said electronic document, wherein said current presentation includes at least part of said primary body of text, said associated video, and at least part of said scrolling-oriented multimedia control; said computer program then arranged to cause said computer processor to detect an activating by said user of said scrolling-oriented multimedia control to select a next segment of text within said primary body of text; said computer program then arranged to cause said computer processor to retrieve from said non-transitory computer-useable storage medium and display on said computer output device a next presentation of said electronic document, wherein said next presentation includes displaying one or more changed components of related media content, wherein at least one of the changed components includes a continued, modified presentation of said associated video to help illustrate said next segment of text chosen from said primary body of text, wherein said continued, modified presentation of said associated video includes at least one visual enhancement, wherein said at least one visual enhancement includes at least one of zooming-in on at least one depicted subject in said associated video, zooming-out on at least one depicted subject in said associated video, appearing to move at least one associated camera toward at least one depicted subject in said associated video, appearing to move at least one associated camera away from at least one depicted subject in said associated video, and panning across at least one depicted subject in said associated video; said computer program then arranged to cause said computer processor to detect a new activating by said user of said scrolling-oriented multimedia control to select a new next segment of text within said primary body of text; said computer program then arranged to cause said computer processor to retrieve from said non-transitory computer-useable storage medium and display on said computer output device a new next presentation of said electronic document, wherein said new next presentation includes displaying one or more changed components of related media content to help illustrate said of said new next segment of text chosen from said primary body of text.
|
15. A computer program product for presenting an electronic document, wherein said electronic document is defined as at least one of a news story, an informational article, and an electronic book, wherein a manual choosing by a user of select text segments within said electronic document is synchronized through a scrolling-oriented multimedia control with presentations of related media content, including an associated video configured primarily to illustrate at least part of a primary body of text in said electronic document, and wherein said scrolling-oriented multimedia control commences displaying each successive presentation of visual imagery automatically no later than effectively simultaneous to a reading of each associated text segment by said user, said computer program product comprising: a computer processor having a computer output device; a non-transitory computer-useable storage medium having a computer-readable program embedded therein, said computer-readable program being executable by said computer processor, said computer-readable program including at least part of said scrolling-oriented multimedia control; said computer program arranged to cause said computer processor to store on said non-transitory computer-useable storage medium and display on said computer output device a current presentation of said electronic document, wherein said current presentation includes at least part of said primary body of text, said associated video, and at least part of said scrolling-oriented multimedia control; said computer program then arranged to cause said computer processor to detect an activating by said user of said scrolling-oriented multimedia control to select a next segment of text within said primary body of text; said computer program then arranged to cause said computer processor to retrieve from said non-transitory computer-useable storage medium and display on said computer output device a next presentation of said electronic document, wherein said next presentation includes displaying one or more changed components of related media content, wherein at least one of the changed components includes a continued, modified presentation of said associated video to help illustrate said next segment of text chosen from said primary body of text, wherein said continued, modified presentation of said associated video includes at least one visual enhancement, wherein said at least one visual enhancement includes at least one of zooming-in on at least one depicted subject in said associated video, zooming-out on at least one depicted subject in said associated video, appearing to move at least one associated camera toward at least one depicted subject in said associated video, appearing to move at least one associated camera away from at least one depicted subject in said associated video, and panning across at least one depicted subject in said associated video; said computer program then arranged to cause said computer processor to detect a new activating by said user of said scrolling-oriented multimedia control to select a new next segment of text within said primary body of text; said computer program then arranged to cause said computer processor to retrieve from said non-transitory computer-useable storage medium and display on said computer output device a new next presentation of said electronic document, wherein said new next presentation includes displaying one or more changed components of related media content to help illustrate said of said new next segment of text chosen from said primary body of text. 17. The computer program product of claim 15 , wherein the display of said next segment text and said related media content within said electronic document are accompanied by a likewise continued, modified presentation of at least one visual advertisement, wherein said likewise continued, modified presentation of said at least one visual advertisement is at least in part configured to mirror alterations in said related media content within said electronic document, and wherein said likewise continued, modified presentation of said at least one visual advertisement includes at least one of zooming-in on at least one depicted advertising subject, zooming-out on at least one depicted advertising subject, panning across at least one depicted advertising subject, and a change in camera perspective of at least one depicted advertising subject.
| 0.5 |
6,122,628 | 51 | 54 |
51. A computer program product comprising: a computer usable medium having computer readable program code means embodied therein for representing multidimensional data, the computer readable program code means in said computer program product comprising: computer readable program code clustering means for causing a computer to effect (a) partitioning the multidimensional data into one or more clusters; computer readable program code means, coupled to said clustering means, for causing a computer to effect (b) generating and storing clustering information for said one or more clusters; computer readable program code dimensionality reduction means, coupled to said clustering means, for causing a computer to effect, (c) generating one or more reduced dimensionality clusters and dimensionality reduction information for said one or more clusters; computer readable program code means, coupled to said dimensionality reduction means, for causing a computer to (d) effect storing the dimensionality reduction information; computer readable program code means for causing a computer to effect creating a hierarchy of reduced dimensionality clusters by recursively applying said steps a) through d); and computer readable program code means for causing a computer to effect generating and storing one or more low-dimensional indexes for clusters at a lowest level of said hierarchy.
|
51. A computer program product comprising: a computer usable medium having computer readable program code means embodied therein for representing multidimensional data, the computer readable program code means in said computer program product comprising: computer readable program code clustering means for causing a computer to effect (a) partitioning the multidimensional data into one or more clusters; computer readable program code means, coupled to said clustering means, for causing a computer to effect (b) generating and storing clustering information for said one or more clusters; computer readable program code dimensionality reduction means, coupled to said clustering means, for causing a computer to effect, (c) generating one or more reduced dimensionality clusters and dimensionality reduction information for said one or more clusters; computer readable program code means, coupled to said dimensionality reduction means, for causing a computer to (d) effect storing the dimensionality reduction information; computer readable program code means for causing a computer to effect creating a hierarchy of reduced dimensionality clusters by recursively applying said steps a) through d); and computer readable program code means for causing a computer to effect generating and storing one or more low-dimensional indexes for clusters at a lowest level of said hierarchy. 54. The computer program product of claim 51, further comprising: (a) means for causing a computer to effect generating cluster boundaries, which correspond to a zeroth-order approximation to a geometry of said clusters; (b) means for causing a computer to effect approximating the geometry of each of the clusters by means of a minimum bounding box and generating a first-order approximation to the geometry of each cluster; (c) means for causing a computer to effect partitioning the bounding box into 2 k hyper rectangles, wherein said partitioning is at a midpoint of each dimension; (d) means for causing a computer to effect retaining only those hyper rectangles that contain data points and generating a second-order approximation to the geometry of the cluster; and (e) means for causing a computer to effect repeating said steps (c) and (d) for each retained hyper rectangle to generate successively the third-, fourth-, . . . , n-th approximations to the geometry of the cluster.
| 0.647038 |
9,555,710 | 16 | 17 |
16. A method for filtering health and usage management system (HUMS) data, comprising: providing a computing device including a processor and a memory storage device, the processor being operable to generate a graphical user interface; setting one or more parameters in an interactive list of filter statements, each filter statement in the interactive list of filter statements selectable from a group of filter types; dynamically updating the group of filter types in response to at least one previous selection from the group of filter types; generating a query input according to the interactive list of filter statements; accessing vehicle data in a database according to the query input; and wherein the computing device is operable to cause the steps of setting, dynamically updating, generating and accessing to occur in response to interacting with the graphical user interface.
|
16. A method for filtering health and usage management system (HUMS) data, comprising: providing a computing device including a processor and a memory storage device, the processor being operable to generate a graphical user interface; setting one or more parameters in an interactive list of filter statements, each filter statement in the interactive list of filter statements selectable from a group of filter types; dynamically updating the group of filter types in response to at least one previous selection from the group of filter types; generating a query input according to the interactive list of filter statements; accessing vehicle data in a database according to the query input; and wherein the computing device is operable to cause the steps of setting, dynamically updating, generating and accessing to occur in response to interacting with the graphical user interface. 17. The method as recited in claim 16 , wherein the step of generating a query input according to the interactive list of filter statements occurs after the step of dynamically updating the group of filter types in response to at least one previous selection from the group of filter types.
| 0.5 |
8,527,309 | 16 | 20 |
16. A non-transitory computer-readable storage medium containing instructions which, when executed on a processor, perform a method comprising: defining domain attribute sets for domain names; performing an historical analysis using the domain attribute sets; analyzing expiring domain names based on the historical analysis and the domain attribute sets; providing renewal rate predictions based on the analyzing of the expiring domain names; and providing a targeted marketing offer to a current owner of a domain name based on the probability of deletion predictions.
|
16. A non-transitory computer-readable storage medium containing instructions which, when executed on a processor, perform a method comprising: defining domain attribute sets for domain names; performing an historical analysis using the domain attribute sets; analyzing expiring domain names based on the historical analysis and the domain attribute sets; providing renewal rate predictions based on the analyzing of the expiring domain names; and providing a targeted marketing offer to a current owner of a domain name based on the probability of deletion predictions. 20. The computer-readable medium of claim 16 , wherein the method comprises: adjusting the renewal rate predictions based on any, or combinations of, political factors, economic factors, news event factors, and regional factors.
| 0.62623 |
9,152,617 | 28 | 29 |
28. The computer program product according to claim 27 , wherein the incomplete information is provided to the recognition engine via the keying module for generating a precise location information and a precise field value information for the at least the portion of the object; wherein the precise location and field value information for the at least the portion of the object are provided to the keying module.
|
28. The computer program product according to claim 27 , wherein the incomplete information is provided to the recognition engine via the keying module for generating a precise location information and a precise field value information for the at least the portion of the object; wherein the precise location and field value information for the at least the portion of the object are provided to the keying module. 29. The computer program product according to claim 28 , wherein the second information concerning the at least the portion of the object includes object and data model definitions; wherein based on the object and data model definitions and the location and field value information, the keying module generates enriched object definitions and to provide document and data model visualization to the user.
| 0.5 |
7,778,821 | 24 | 29 |
24. A computer-readable medium comprising machine-readable computer program code, the computer program code including instructions, that responsive to being executed by a processing device included in a computing system, cause the computing system to: identify a selected word, wherein said selected word includes at least one character to be modified; receive a spelling command to modify said selected word; correlate, with the computing system, unique numerical values with corresponding characters of said selected word, wherein each character of said selected word corresponds to a unique numerical value; display a list of at least one allowable character modification that includes a unique numerical value corresponding to each of said at least one allowable character modification on a display associated with the computing system; receive a selection command and a modification command for said at least one character to be modified, wherein said selection command comprises said unique numerical value corresponding to said selected character to be modified in said selected word; and modify said selected character responsive to said modification command to generate a modified word.
|
24. A computer-readable medium comprising machine-readable computer program code, the computer program code including instructions, that responsive to being executed by a processing device included in a computing system, cause the computing system to: identify a selected word, wherein said selected word includes at least one character to be modified; receive a spelling command to modify said selected word; correlate, with the computing system, unique numerical values with corresponding characters of said selected word, wherein each character of said selected word corresponds to a unique numerical value; display a list of at least one allowable character modification that includes a unique numerical value corresponding to each of said at least one allowable character modification on a display associated with the computing system; receive a selection command and a modification command for said at least one character to be modified, wherein said selection command comprises said unique numerical value corresponding to said selected character to be modified in said selected word; and modify said selected character responsive to said modification command to generate a modified word. 29. The computer-readable medium of claim 24 , wherein if said modification command is a replacement character, said modification includes replacement of said selected character with said replacement character.
| 0.571429 |
7,689,559 | 1 | 2 |
1. A computer-based method of searching, navigating or retrieving, from a set of electronic documents, comprising: electronically constructing and storing a word corpus from said set of electronic documents, each document in said set of electronic documents having a corresponding document ID; electronically constructing an inverted index, based on the electronic corpus and set of electronic documents; for each word in the inverted index, obtaining a plurality of document similarity scores by: sorting the document IDs of said documents according to a word similarity score to form a sorted set of document IDs, wherein said word appears in each document represented in said sorted set, and wherein said sorted set is an index-word document list, said documents being sorted into decreasing order of similarity, calculating a document similarity score between pairs of documents identified in said index-word document list, entering the calculated document similarity scores into a matrix of similarity scores wherein each similarity score represents a degree of similarity between a pair of documents, said matrix being a similarity graph (S), in said matrix, treating a degree of similarity between each pair of documents for which a similarity score has not been calculated as being a zero value; using said similarity graph (S) when performing a similarity analysis of said documents for at least one of: searching said set of electronic documents based on said similarity analysis, navigating said set of electronic documents based on said similarity analysis, and retrieving from set of documents based on said similarity analysis, wherein the obtaining a plurality of document similarity scores further includes at least one of: the step of sorting the document IDs of said documents further includes truncating said sorted list by removing documents whose similarity is less than a threshold τ word , and the step of calculating a document similarity score further includes calculating the document similarity score between pairs of documents identified in said index-word document list until a first occurrence of a similarity score lower than a threshold τ set .
|
1. A computer-based method of searching, navigating or retrieving, from a set of electronic documents, comprising: electronically constructing and storing a word corpus from said set of electronic documents, each document in said set of electronic documents having a corresponding document ID; electronically constructing an inverted index, based on the electronic corpus and set of electronic documents; for each word in the inverted index, obtaining a plurality of document similarity scores by: sorting the document IDs of said documents according to a word similarity score to form a sorted set of document IDs, wherein said word appears in each document represented in said sorted set, and wherein said sorted set is an index-word document list, said documents being sorted into decreasing order of similarity, calculating a document similarity score between pairs of documents identified in said index-word document list, entering the calculated document similarity scores into a matrix of similarity scores wherein each similarity score represents a degree of similarity between a pair of documents, said matrix being a similarity graph (S), in said matrix, treating a degree of similarity between each pair of documents for which a similarity score has not been calculated as being a zero value; using said similarity graph (S) when performing a similarity analysis of said documents for at least one of: searching said set of electronic documents based on said similarity analysis, navigating said set of electronic documents based on said similarity analysis, and retrieving from set of documents based on said similarity analysis, wherein the obtaining a plurality of document similarity scores further includes at least one of: the step of sorting the document IDs of said documents further includes truncating said sorted list by removing documents whose similarity is less than a threshold τ word , and the step of calculating a document similarity score further includes calculating the document similarity score between pairs of documents identified in said index-word document list until a first occurrence of a similarity score lower than a threshold τ set . 2. The method of claim 1 , wherein the inverted index identifies a set of documents in which a particular word appears.
| 0.946541 |
7,921,360 | 1 | 4 |
1. A method to restrict editing in a tag-delimited, multi-formatted document comprising: parsing said multi-formatted document; identifying a plurality of tags responsive to said parsing; generating a revised document based on said multi-formatted document; inserting one or more restriction tags into said revised document delimiting non-editable content defined by one or more of said plurality of tags; restricting edit functions of a page editor editing said revised document, wherein said restricting is responsive to said page editor reading said one or more restriction tags; and stripping out said one or more restriction tags when said page editor writes said edited multi-formatted document for presentation.
|
1. A method to restrict editing in a tag-delimited, multi-formatted document comprising: parsing said multi-formatted document; identifying a plurality of tags responsive to said parsing; generating a revised document based on said multi-formatted document; inserting one or more restriction tags into said revised document delimiting non-editable content defined by one or more of said plurality of tags; restricting edit functions of a page editor editing said revised document, wherein said restricting is responsive to said page editor reading said one or more restriction tags; and stripping out said one or more restriction tags when said page editor writes said edited multi-formatted document for presentation. 4. The method of claim 1 , further comprising: setting a restriction flag in said revised document to activate edit restriction.
| 0.692308 |
9,208,229 | 2 | 4 |
2. The method of claim 1 , wherein receiving the reference to the document comprises receiving a set of candidate anchor texts, and wherein determining if the anchor text matches the name of the entity associated with the object comprises: selecting an anchor text from the set of candidate anchor texts; and determining if the selected anchor text matches the name of the entity associated with the object.
|
2. The method of claim 1 , wherein receiving the reference to the document comprises receiving a set of candidate anchor texts, and wherein determining if the anchor text matches the name of the entity associated with the object comprises: selecting an anchor text from the set of candidate anchor texts; and determining if the selected anchor text matches the name of the entity associated with the object. 4. The method of claim 2 , wherein selecting the anchor text from the set of candidate anchor texts comprises performing n-gram clustering on at least one member of the set of candidate anchor texts.
| 0.5 |
7,801,722 | 1 | 4 |
1. A computer-implemented method at a computing device for creating and using phonetic schemes, the method comprising: receiving input to create a phonetic scheme, the phonetic scheme comprising one or more phonetic character combinations in a source language and one or more native characters in a destination language for each of the phonetic character combinations; receiving a phonetic character combination in the source language; translating the phonetic character combination into one or more native characters in the destination language using the phonetic scheme, the phonetic character combination being translated by a phonetic input application executed by a processor of the computing device; and displaying a selectable list of suggestions of one or more native characters in the destination language, the suggestions including the one or more native characters in the destination language, a plurality of phonetic equivalents to the phonetic character combination based on the phonetic scheme, and a plurality of sound-alike equivalents to the one or more native characters in the destination language.
|
1. A computer-implemented method at a computing device for creating and using phonetic schemes, the method comprising: receiving input to create a phonetic scheme, the phonetic scheme comprising one or more phonetic character combinations in a source language and one or more native characters in a destination language for each of the phonetic character combinations; receiving a phonetic character combination in the source language; translating the phonetic character combination into one or more native characters in the destination language using the phonetic scheme, the phonetic character combination being translated by a phonetic input application executed by a processor of the computing device; and displaying a selectable list of suggestions of one or more native characters in the destination language, the suggestions including the one or more native characters in the destination language, a plurality of phonetic equivalents to the phonetic character combination based on the phonetic scheme, and a plurality of sound-alike equivalents to the one or more native characters in the destination language. 4. The computer-implemented method of claim 1 , further comprising storing the phonetic scheme in a user-readable file.
| 0.855231 |
9,659,224 | 5 | 10 |
5. A device comprising: one or more processors operable to: send, to one or more servers in communication with the device via a network, at least a portion of a first frame of image data including at least a first captured textual item within a first bounding box corresponding to a region of the first frame; receive, from the one or more servers, first recognized text corresponding to the first captured textual item; send, to the one or more servers, at least a portion of a second frame of image data including at least a second captured textual item within a second bounding box corresponding to a region of the second frame; receive, from the one or more servers, second recognized text corresponding to the second captured textual item; compare first characters of the first recognized text with second characters of the second recognized text, wherein comparing the first characters with the second characters includes: determine an edit distance between the first recognized text and the second recognized text, and determine that the edit distance satisfies an edit distance threshold, wherein the edit distance threshold depends on a type of at least one of the first recognized text or of the second recognized text; determine an overlap of the first bounding box relative to the second bounding box; determine that the first captured textual item matches the second captured textual item based at least in part on (i) the comparison of characters of the first recognized text with characters of the second recognized text and (ii) the overlap; generate merged text based at least in part on the first recognized text and the second recognized text; and display, on a display, the merged text.
|
5. A device comprising: one or more processors operable to: send, to one or more servers in communication with the device via a network, at least a portion of a first frame of image data including at least a first captured textual item within a first bounding box corresponding to a region of the first frame; receive, from the one or more servers, first recognized text corresponding to the first captured textual item; send, to the one or more servers, at least a portion of a second frame of image data including at least a second captured textual item within a second bounding box corresponding to a region of the second frame; receive, from the one or more servers, second recognized text corresponding to the second captured textual item; compare first characters of the first recognized text with second characters of the second recognized text, wherein comparing the first characters with the second characters includes: determine an edit distance between the first recognized text and the second recognized text, and determine that the edit distance satisfies an edit distance threshold, wherein the edit distance threshold depends on a type of at least one of the first recognized text or of the second recognized text; determine an overlap of the first bounding box relative to the second bounding box; determine that the first captured textual item matches the second captured textual item based at least in part on (i) the comparison of characters of the first recognized text with characters of the second recognized text and (ii) the overlap; generate merged text based at least in part on the first recognized text and the second recognized text; and display, on a display, the merged text. 10. The device of claim 5 , wherein at least a portion of the displayed text is actionable to cause a computing event to occur.
| 0.808735 |
8,825,614 | 6 | 14 |
6. A method of performing XBRL taxonomy migration comprising: receiving an XBRL document having XBRL tags of a first version of an XBRL taxonomy; migrating, by a processor, the received XBRL document to a second version of the XBRL taxonomy by gathering metadata that corresponds to the first version of the XBRL taxonomy and replacing XBRL concepts of the first version of the XBRL taxonomy in the received XBRL document with XBRL concepts of the second version of the XBRL taxonomy; detecting dependencies in calculations in the received XBRL document using the XBRL concepts in the received XBRL document; when dependencies are detected, determining whether a balance type of the first version XBRL taxonomy concept matches a balance type of a related second version XBRL taxonomy concept; when the balance type of the first version XBRL taxonomy concept matches the balance type of the related second version XBRL taxonomy concept, replacing the first version XBRL taxonomy concept in the received XBRL document with the related second version XBRL taxonomy concept of the matched balance type; and when the balance type of the first version XBRL taxonomy concept does not match the balance type of the related second version XBRL taxonomy concept, adjusting a weight of an arc using the related second version XBRL taxonomy concept in a calculation assertion when replacing the first version XBRL taxonomy concept in the received XBRL document with the related second version XBRL taxonomy concept, wherein after completion of the method of performing XBRL taxonomy migration, the migrated XBRL document no longer uses the first version of the XBRL taxonomy.
|
6. A method of performing XBRL taxonomy migration comprising: receiving an XBRL document having XBRL tags of a first version of an XBRL taxonomy; migrating, by a processor, the received XBRL document to a second version of the XBRL taxonomy by gathering metadata that corresponds to the first version of the XBRL taxonomy and replacing XBRL concepts of the first version of the XBRL taxonomy in the received XBRL document with XBRL concepts of the second version of the XBRL taxonomy; detecting dependencies in calculations in the received XBRL document using the XBRL concepts in the received XBRL document; when dependencies are detected, determining whether a balance type of the first version XBRL taxonomy concept matches a balance type of a related second version XBRL taxonomy concept; when the balance type of the first version XBRL taxonomy concept matches the balance type of the related second version XBRL taxonomy concept, replacing the first version XBRL taxonomy concept in the received XBRL document with the related second version XBRL taxonomy concept of the matched balance type; and when the balance type of the first version XBRL taxonomy concept does not match the balance type of the related second version XBRL taxonomy concept, adjusting a weight of an arc using the related second version XBRL taxonomy concept in a calculation assertion when replacing the first version XBRL taxonomy concept in the received XBRL document with the related second version XBRL taxonomy concept, wherein after completion of the method of performing XBRL taxonomy migration, the migrated XBRL document no longer uses the first version of the XBRL taxonomy. 14. The method of claim 6 , wherein the migrating comprises a one-to-many mapping in which a deprecated XBRL concept of the first version of the XBRL taxonomy is mapped to a selected one of a plurality of XBRL concepts of the second version of the XBRL taxonomy having greater specificity compared to the deprecated XBRL concept.
| 0.639254 |
9,489,463 | 7 | 8 |
7. A computer system for responding to user queries, the system comprising: at least one processor programmed to execute one or more computer program instructions which, when executed, cause the at least one processor to: receive a query submitted by a user; identify a set of documents that are related to the query; determine ratings associated with individual documents of the set of documents, wherein each of the ratings is either provided by the user or is an inferred rating for the associated document with respect to the user; determine, for each of the ratings associated with a particular document from the set of documents, a weight based on whether the rating (i) is provided by the user or (ii) is an inferred rating, wherein a weight for an inferred rating is determined based on a number of documents for which the user provided ratings in a category to which the particular document belongs and consistency of the ratings; determine an additional category related to one other document associated with one other inferred rating of the ratings, wherein determining a weight for each of the ratings comprises determining a weight for the one other inferred rating based on how many documents for which the user provided a rating that are related to the additional category such that the weight for the one other inferred rating is greater than the weight for the one inferred rating based on the number of documents for which the user provided a rating that are related to the additional category being greater than the number of documents for which the user provided a rating that are related to the category; compute, for the particular document a weighted rating based on the weight associated with the rating; rank the set of documents based on the weighted ratings of the set of documents; and generate, based on the ranking, a search report that indicates (i) at least some of the documents of the set of documents and (ii) at least one of the ratings.
|
7. A computer system for responding to user queries, the system comprising: at least one processor programmed to execute one or more computer program instructions which, when executed, cause the at least one processor to: receive a query submitted by a user; identify a set of documents that are related to the query; determine ratings associated with individual documents of the set of documents, wherein each of the ratings is either provided by the user or is an inferred rating for the associated document with respect to the user; determine, for each of the ratings associated with a particular document from the set of documents, a weight based on whether the rating (i) is provided by the user or (ii) is an inferred rating, wherein a weight for an inferred rating is determined based on a number of documents for which the user provided ratings in a category to which the particular document belongs and consistency of the ratings; determine an additional category related to one other document associated with one other inferred rating of the ratings, wherein determining a weight for each of the ratings comprises determining a weight for the one other inferred rating based on how many documents for which the user provided a rating that are related to the additional category such that the weight for the one other inferred rating is greater than the weight for the one inferred rating based on the number of documents for which the user provided a rating that are related to the additional category being greater than the number of documents for which the user provided a rating that are related to the category; compute, for the particular document a weighted rating based on the weight associated with the rating; rank the set of documents based on the weighted ratings of the set of documents; and generate, based on the ranking, a search report that indicates (i) at least some of the documents of the set of documents and (ii) at least one of the ratings. 8. The system of claim 7 , wherein the set of documents include a first document for which the user provided a first rating and a second document for which the user has not yet provided a rating, and wherein the at least one processor is further caused to: determine an average of two or more ratings associated with one or more user-rated documents that are similar to the second document; determine a second rating for the second document based on the average of the two or more ratings, wherein the second rating is an inferred rating determined with respect to the user; determine a first weight for the first rating based on the first rating being provided by the user as opposed to being an inferred rating determined with respect to the user; determine a second weight for the second rating based on the second rating being an inferred rating determined with respect to the user as opposed to being provided by the user, wherein the second weight is different than the first weight; determine a first weighted rating for the first document based on the first rating and the first weight; and determine a second weighted rating for the second document based on the second rating and the second weight, wherein ranking the set of documents comprises ranking the set of documents based on the first weighted rating and the second weighted rating.
| 0.5 |
8,438,007 | 1 | 6 |
1. A computer implemented method for creating a glossary database, the method comprising: extracting, using a processor, a plurality of user interface strings in at least a first and a second human language from at least one software product having a user interface for at least the first human language and the second human language, where each user interface string is a string displayed in a user interface of the software product; creating a set identifier for each user interface string, wherein the set identifier for a user interface string comprises context information about a use of the user interface string in a user interface of the software product including a name of the software product and an identifier specifying a type of user interface string; grouping user interface strings in the first human language and the second human language having the same set identifier into string sets; generating the glossary database comprising the user interface strings in at least the first and second human languages grouped into string sets by the set identifiers; searching for one or more literal user interface strings in the glossary database that matches a selected user interface string; generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string; and deciding, based on the score and using a processor, whether or not to select a string set.
|
1. A computer implemented method for creating a glossary database, the method comprising: extracting, using a processor, a plurality of user interface strings in at least a first and a second human language from at least one software product having a user interface for at least the first human language and the second human language, where each user interface string is a string displayed in a user interface of the software product; creating a set identifier for each user interface string, wherein the set identifier for a user interface string comprises context information about a use of the user interface string in a user interface of the software product including a name of the software product and an identifier specifying a type of user interface string; grouping user interface strings in the first human language and the second human language having the same set identifier into string sets; generating the glossary database comprising the user interface strings in at least the first and second human languages grouped into string sets by the set identifiers; searching for one or more literal user interface strings in the glossary database that matches a selected user interface string; generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string; and deciding, based on the score and using a processor, whether or not to select a string set. 6. The method of claim 1 , wherein the plurality of user interface strings are extracted from at least two products.
| 0.946544 |
7,568,154 | 1 | 5 |
1. A computer-implemented process for creating an adaptive document, comprising using a computer to perform the following process actions: inputting manifold representations of alternate document content that are modified versions of a same document content; creating a document tree by associating each representation of alternate document content with a tree data structure, wherein OR nodes are used to organize said manifold representations of alternate document content in said tree data structure; creating a new representation of alternate document content in the document tree by the following process actions: inputting selected document content and said document tree; looking for a document sub-tree that can exactly generate a selected region of the selected document content; when an exact sub-tree is not found, creating a new sub-tree corresponding to the region of selected document content; and creating a new representation of alternate document content by modifying the document tree so that the created sub-tree corresponding to the region of selected document content becomes a child of a new OR node; when an exact sub-tree corresponding to the selected document content is found, creating a new representation of alternate document content by modifying the document tree so that the found exact sub-tree corresponding to the region of selected document content becomes a child of a new OR node; and automatically formatting said manifold representations of document content to fit a viewing situation using said modified document tree, constraints and user preferences.
|
1. A computer-implemented process for creating an adaptive document, comprising using a computer to perform the following process actions: inputting manifold representations of alternate document content that are modified versions of a same document content; creating a document tree by associating each representation of alternate document content with a tree data structure, wherein OR nodes are used to organize said manifold representations of alternate document content in said tree data structure; creating a new representation of alternate document content in the document tree by the following process actions: inputting selected document content and said document tree; looking for a document sub-tree that can exactly generate a selected region of the selected document content; when an exact sub-tree is not found, creating a new sub-tree corresponding to the region of selected document content; and creating a new representation of alternate document content by modifying the document tree so that the created sub-tree corresponding to the region of selected document content becomes a child of a new OR node; when an exact sub-tree corresponding to the selected document content is found, creating a new representation of alternate document content by modifying the document tree so that the found exact sub-tree corresponding to the region of selected document content becomes a child of a new OR node; and automatically formatting said manifold representations of document content to fit a viewing situation using said modified document tree, constraints and user preferences. 5. The computer-implemented process of claim 1 , wherein said tree data structure is divided into sub-trees; and wherein two sub-trees are considered equivalent if their structure creates identical sets of document views.
| 0.610915 |
9,286,325 | 1 | 4 |
1. A method for extracting one or more images from a storage medium, the method comprising: determining a semantic class from a query based on a natural language processing technique; checking an availability of a semantically related aesthetic model for the determined semantic class, wherein the semantically related aesthetic model corresponds to an aesthetic model that is configured to compute an aesthetic score for a first image that is associated with a predetermined semantic class, and wherein the semantically related aesthetic model is unable to compute aesthetic score for a second image that is associated with a semantic class other than the predetermined semantic class; selecting a first search model or a second search model based on the availability of the semantically related aesthetic model, wherein the first search model comprises a semantic model and the semantically related aesthetic model, wherein the second search model comprises the semantic model and a generic aesthetic model, wherein the first search model is selected when the semantically related aesthetic model is available for the determined semantic class, and wherein the second search model is selected when the semantically related aesthetic model is unavailable for the determined semantic class; computing a semantic score and an aesthetic score for each of the one or more images based on the selected search model; and ranking the one or more images based on the semantic score and the aesthetic score.
|
1. A method for extracting one or more images from a storage medium, the method comprising: determining a semantic class from a query based on a natural language processing technique; checking an availability of a semantically related aesthetic model for the determined semantic class, wherein the semantically related aesthetic model corresponds to an aesthetic model that is configured to compute an aesthetic score for a first image that is associated with a predetermined semantic class, and wherein the semantically related aesthetic model is unable to compute aesthetic score for a second image that is associated with a semantic class other than the predetermined semantic class; selecting a first search model or a second search model based on the availability of the semantically related aesthetic model, wherein the first search model comprises a semantic model and the semantically related aesthetic model, wherein the second search model comprises the semantic model and a generic aesthetic model, wherein the first search model is selected when the semantically related aesthetic model is available for the determined semantic class, and wherein the second search model is selected when the semantically related aesthetic model is unavailable for the determined semantic class; computing a semantic score and an aesthetic score for each of the one or more images based on the selected search model; and ranking the one or more images based on the semantic score and the aesthetic score. 4. The method of claim 1 , wherein the semantic score is computed based on the semantic model.
| 0.812749 |
9,521,133 | 1 | 2 |
1. A method, in a client device, using a moving target defense against cross-site scripting, the method comprising: requesting a web page from a server, wherein the server mutates web content with JavaScript offline to provide N versions of the web page, each with a different mutated version of JavaScript, and wherein, upon the requesting, the server provides one of the N versions of the web page thereby providing the moving target defense against cross-site scripting; receiving a response serving the web page from the server with a header comprising an indication of a mutated version of JavaScript for the web page of the N versions of the web page each with a different mutated version and replaced randomly to increase probability of vulnerability detection, wherein the mutated version of JavaScript comprises changes to one or more lexical tokens which are selected based on use in malicious JavaScript attacks, wherein the one or more lexical tokens are one or more of a left parenthesis and an assignment operator, wherein cross-site scripting requires use of the parenthesis or the assignment operator to maliciously manipulate behavior, and wherein the parenthesis or the assignment operator are randomized because they manipulate behavior or state in a cross-site scripting attack; adjusting a JavaScript interpreter based on the mutated version of JavaScript for the web page; and detecting any JavaScript not conforming to the mutated version of JavaScript and providing an indication of a violation including JavaScript not conforming to the mutated version of JavaScript associated with the web page, wherein the indication includes a page on which the violation occurred, the page's referrer, a resource that violated the page's policy, and a specific directive of the violation.
|
1. A method, in a client device, using a moving target defense against cross-site scripting, the method comprising: requesting a web page from a server, wherein the server mutates web content with JavaScript offline to provide N versions of the web page, each with a different mutated version of JavaScript, and wherein, upon the requesting, the server provides one of the N versions of the web page thereby providing the moving target defense against cross-site scripting; receiving a response serving the web page from the server with a header comprising an indication of a mutated version of JavaScript for the web page of the N versions of the web page each with a different mutated version and replaced randomly to increase probability of vulnerability detection, wherein the mutated version of JavaScript comprises changes to one or more lexical tokens which are selected based on use in malicious JavaScript attacks, wherein the one or more lexical tokens are one or more of a left parenthesis and an assignment operator, wherein cross-site scripting requires use of the parenthesis or the assignment operator to maliciously manipulate behavior, and wherein the parenthesis or the assignment operator are randomized because they manipulate behavior or state in a cross-site scripting attack; adjusting a JavaScript interpreter based on the mutated version of JavaScript for the web page; and detecting any JavaScript not conforming to the mutated version of JavaScript and providing an indication of a violation including JavaScript not conforming to the mutated version of JavaScript associated with the web page, wherein the indication includes a page on which the violation occurred, the page's referrer, a resource that violated the page's policy, and a specific directive of the violation. 2. The method of claim 1 , further comprising: responsive to the detecting, performing one or more of prohibiting any JavaScript not conforming to the mutated version of JavaScript and alerting the server associated with the web page.
| 0.5 |
9,213,624 | 1 | 5 |
1. A process for testing for trigger conditions and providing warnings or suggestions during the development of a portable device application, the process comprising the steps of: receiving a portable device application; displaying, by a development environment, a list of application categories, the list of application categories including at least three of the following application categories: Books, Business, Catalogs, Education, Email, Entertainment, Finance, Games, Health & Fitness, Lifestyle, Medical, Music, Navigation/Search, News, Password Manager, Photo & Video, Productivity, Reference, Social Networking, Sports, Travel, Utilities, Weather; receiving a user selected application category for the portable device application in the development environment, the application category selected from said list of application categories; determining a testing procedure for the portable device application based on the selected application category; testing the portable device application based on the determined testing procedure and providing warnings or suggestions based on the testing, wherein the process further comprises issuing a warning or suggestion consistent with at least one of the following conditions: if the application category is Social Networking, testing for compliance with start-up time requirements, and if noncompliant, issuing a warning from the development environment indicating that the application has a start-up time exceeding a trigger threshold for Social Networking applications; if the application category is Password Manager or Finance, testing for compliance with one or more security policies, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to security policies associated with Password Manager or Finance application categories; if the application category is News or Photo & Video, testing for compliance with policies regarding delays between photo requests, and if noncompliant, issuing a warning from the development environment indicating that the application should request several photos simultaneously instead of requesting them one at a time with delays in between the requests; if the application category is Email, Photo & Video, News, or Social Networking, testing for compliance with image resolution requirements, and if noncompliant, issuing at least one of the following warnings from the development environment: the application should try to detect what kind of network is available, the application should try to detect what video resolutions are available, the application should consider the network bandwidth, or the application should consider the user's data plan costs; if the application category is Photo & Video, testing whether the application determines whether a camera is available and if it does not, issuing a warning from the development environment indicating that the application should detect whether a camera is available on the device running the application; if the application category is Navigation/Search, testing whether the application determines whether the application uses power efficient APIs to resolve location and if it does not, issuing a warning from the development environment that the application should use power efficient APIs to resolve location; if the application category is Weather, testing for compliance with width and/or height controls, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to width and/or height of controls to accommodate content in various locales; if the application category is News, testing for compliance with minimum dimension requirements stated in user interface guidelines, and if noncompliant, issuing a warning from the development environment that the application should ensure that all controls meet minimum dimension requirements stated in user interface guidelines; if the application category is News, testing for compliance with color combination requirements, and if noncompliant, issuing a suggestion or warning from the development environment indicating that the application content use a different color combination; if the application category is Games, testing for compliance with back-key handling requirements, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to platform application model guidelines for back-key handling.
|
1. A process for testing for trigger conditions and providing warnings or suggestions during the development of a portable device application, the process comprising the steps of: receiving a portable device application; displaying, by a development environment, a list of application categories, the list of application categories including at least three of the following application categories: Books, Business, Catalogs, Education, Email, Entertainment, Finance, Games, Health & Fitness, Lifestyle, Medical, Music, Navigation/Search, News, Password Manager, Photo & Video, Productivity, Reference, Social Networking, Sports, Travel, Utilities, Weather; receiving a user selected application category for the portable device application in the development environment, the application category selected from said list of application categories; determining a testing procedure for the portable device application based on the selected application category; testing the portable device application based on the determined testing procedure and providing warnings or suggestions based on the testing, wherein the process further comprises issuing a warning or suggestion consistent with at least one of the following conditions: if the application category is Social Networking, testing for compliance with start-up time requirements, and if noncompliant, issuing a warning from the development environment indicating that the application has a start-up time exceeding a trigger threshold for Social Networking applications; if the application category is Password Manager or Finance, testing for compliance with one or more security policies, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to security policies associated with Password Manager or Finance application categories; if the application category is News or Photo & Video, testing for compliance with policies regarding delays between photo requests, and if noncompliant, issuing a warning from the development environment indicating that the application should request several photos simultaneously instead of requesting them one at a time with delays in between the requests; if the application category is Email, Photo & Video, News, or Social Networking, testing for compliance with image resolution requirements, and if noncompliant, issuing at least one of the following warnings from the development environment: the application should try to detect what kind of network is available, the application should try to detect what video resolutions are available, the application should consider the network bandwidth, or the application should consider the user's data plan costs; if the application category is Photo & Video, testing whether the application determines whether a camera is available and if it does not, issuing a warning from the development environment indicating that the application should detect whether a camera is available on the device running the application; if the application category is Navigation/Search, testing whether the application determines whether the application uses power efficient APIs to resolve location and if it does not, issuing a warning from the development environment that the application should use power efficient APIs to resolve location; if the application category is Weather, testing for compliance with width and/or height controls, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to width and/or height of controls to accommodate content in various locales; if the application category is News, testing for compliance with minimum dimension requirements stated in user interface guidelines, and if noncompliant, issuing a warning from the development environment that the application should ensure that all controls meet minimum dimension requirements stated in user interface guidelines; if the application category is News, testing for compliance with color combination requirements, and if noncompliant, issuing a suggestion or warning from the development environment indicating that the application content use a different color combination; if the application category is Games, testing for compliance with back-key handling requirements, and if noncompliant, issuing a warning from the development environment indicating that the application should adhere to platform application model guidelines for back-key handling. 5. The process of claim 1 , wherein the process comprises issuing warnings and/or suggestions consistent with at least seven of the conditions.
| 0.889831 |
8,595,030 | 2 | 3 |
2. The system of claim 1 wherein the contextualized data element comprises root information and contextual information, wherein the contextual information explains or gives meaning to the root information.
|
2. The system of claim 1 wherein the contextualized data element comprises root information and contextual information, wherein the contextual information explains or gives meaning to the root information. 3. The system of claim 2 wherein the root information is one of a medical code and an image file that is representative of at least a portion of the user writing on the form.
| 0.5 |
8,688,696 | 4 | 5 |
4. The computer-readable storage media of claim 1 , comprising further computer-executable instructions for excluding the derived entities that are geographically located outside of a geographic region defined by a bounding box.
|
4. The computer-readable storage media of claim 1 , comprising further computer-executable instructions for excluding the derived entities that are geographically located outside of a geographic region defined by a bounding box. 5. The computer-readable storage media of claim 4 , comprising further computer-executable instructions for determining the geographic region defined by the bounding box based on the location relevant query and a location of a user making the location relevant query.
| 0.577532 |
9,111,375 | 9 | 15 |
9. An automated method disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the method comprising: labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers.
|
9. An automated method disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the method comprising: labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers. 15. The automated method of claim 9 , wherein the labeling, selecting, and updating operations are performed iteratively for each image in the set of 2D images.
| 0.5 |
8,577,882 | 5 | 6 |
5. The method according to claim 4 , further comprising at least one of the following: extracting a local feature of an image in said image library and quantizing said local feature to establish an inverted index table; or extracting a global feature of the image in said image library and establishing an Approximate Nearest Neighbors index table based on said global feature.
|
5. The method according to claim 4 , further comprising at least one of the following: extracting a local feature of an image in said image library and quantizing said local feature to establish an inverted index table; or extracting a global feature of the image in said image library and establishing an Approximate Nearest Neighbors index table based on said global feature. 6. The method according to claim 5 , wherein said finding said relevant image step comprises the steps of: establishing a candidate set of similar images by determining whether said image from said first relevant document is similar to said image from said second relevant document based on said inverted index table or said Approximate Nearest Neighbors index table; determining whether said image from said second relevant document is compatible to geometric transformations of a local feature of said image from said first relevant document to obtain a preliminary set of similar images; and determining a final set of similar images by expanding said preliminary set.
| 0.5 |
9,152,926 | 8 | 11 |
8. A system for updating a classifier, comprising: a hardware processor that is configured to: receive a sample; assign a first importance weight to the sample based on a count of samples used to update the classifier; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an updated error rate of the weak learner based on the outcome of the classification and the first importance weight; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update the classifier based on the first weak learner.
|
8. A system for updating a classifier, comprising: a hardware processor that is configured to: receive a sample; assign a first importance weight to the sample based on a count of samples used to update the classifier; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an updated error rate of the weak learner based on the outcome of the classification and the first importance weight; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update the classifier based on the first weak learner. 11. The system of claim 8 , wherein the first importance weight is determined based on a ratio between a ennui of negative samples used to update the classifier and a count of all samples used to update the classifier.
| 0.818636 |
8,161,073 | 1 | 4 |
1. A context-driven search method comprising: having a user provide an input phrase that is used to search a collection of language-based information sources, wherein a phrase is one or more words or other language-based character strings; identifying sets of substantially-equivalent expanded phrases that are relevant to the input phrase, wherein these expanded phrases appear in the collection of language-based information sources, wherein an expanded phrase relevant to an input phrase is defined as a phrase that includes the input phrase, or a minor variation thereof, plus one or more additional phrases; and wherein this minor variation is defined as a variation selected from one or more of the variations in the group consisting of: a phrase with words that are corrected or alternative spelling variations of the words comprising the input phrase; a phrase with words that are grammatical variations (such as variation in tense, plurality, or voice) of the words comprising the input phrase; a phrase with words that are the same as those comprising the input phrase, except for the addition or deletion of grammatical articles (such as “a” or “an” or “the”) or relatively-neutral modifiers (such as “very” or “especially”); a phrase with words that are the same as those comprising the input phrase, but are in a different word order; a phrase with words that are the same as those comprising the input phrase, except for case variation (such as upper vs. lower case) in one or more letters in the input phrase; a phrase with the same words as those comprising the input phrase, but with variation in punctuation or word contraction; a phrase that is a phrase synonym for the input phrase, wherein a phrase synonym is defined as alternative phrase that can be substituted for an original phrase in the collection of language-based information sources without substantively changing meaning or creating a grammatical error in the language-based information sources; and a phrase that has been found to be highly-associated with the input phrase based on analysis of previous search patterns; and providing the user with set-specific summary information concerning some, or all, of these sets of substantially-equivalent expanded phrases.
|
1. A context-driven search method comprising: having a user provide an input phrase that is used to search a collection of language-based information sources, wherein a phrase is one or more words or other language-based character strings; identifying sets of substantially-equivalent expanded phrases that are relevant to the input phrase, wherein these expanded phrases appear in the collection of language-based information sources, wherein an expanded phrase relevant to an input phrase is defined as a phrase that includes the input phrase, or a minor variation thereof, plus one or more additional phrases; and wherein this minor variation is defined as a variation selected from one or more of the variations in the group consisting of: a phrase with words that are corrected or alternative spelling variations of the words comprising the input phrase; a phrase with words that are grammatical variations (such as variation in tense, plurality, or voice) of the words comprising the input phrase; a phrase with words that are the same as those comprising the input phrase, except for the addition or deletion of grammatical articles (such as “a” or “an” or “the”) or relatively-neutral modifiers (such as “very” or “especially”); a phrase with words that are the same as those comprising the input phrase, but are in a different word order; a phrase with words that are the same as those comprising the input phrase, except for case variation (such as upper vs. lower case) in one or more letters in the input phrase; a phrase with the same words as those comprising the input phrase, but with variation in punctuation or word contraction; a phrase that is a phrase synonym for the input phrase, wherein a phrase synonym is defined as alternative phrase that can be substituted for an original phrase in the collection of language-based information sources without substantively changing meaning or creating a grammatical error in the language-based information sources; and a phrase that has been found to be highly-associated with the input phrase based on analysis of previous search patterns; and providing the user with set-specific summary information concerning some, or all, of these sets of substantially-equivalent expanded phrases. 4. The context-driven search method in claim 1 wherein set-specific summary information for a given set of substantially-equivalent expanded phrases consolidates information concerning these expanded phrases into a single result for the set so that the user can efficiently see the general types of contexts in which the input phrase, or minor variations thereof, are used throughout the collection of language-based information sources.
| 0.799908 |
9,386,046 | 21 | 24 |
21. A method for improving a statistical message classifier comprising: receiving a message over a network communication interface; identifying by a processor executing instructions out of a memory a feature in the message that is associated with a junk count; testing the message with a first classifier by the processor, wherein the first classifier is a reliable junk classifier capable of making a first classification by the processor performing a calculation according to a logarithmic function including the junk count, wherein the first classifier outputs a value for the statistical message classifier for storage in the memory; in the event that the message is classifiable by the first classifier, updating the statistical message classifier stored in the memory according to the first classification by the processor performing the logarithmic calculation; in the event that the first classifier does not make the first classification, testing the message with a second classifier, wherein the second classifier is capable of making a second classification; and updating the statistical message classifier stored in the memory according to the second classification by the processor, wherein the statistical message classifier corresponds to a probability that the feature in the message is spam; identifying that the message is spam based on the probability that the feature in the message is spam; and quarantining the message.
|
21. A method for improving a statistical message classifier comprising: receiving a message over a network communication interface; identifying by a processor executing instructions out of a memory a feature in the message that is associated with a junk count; testing the message with a first classifier by the processor, wherein the first classifier is a reliable junk classifier capable of making a first classification by the processor performing a calculation according to a logarithmic function including the junk count, wherein the first classifier outputs a value for the statistical message classifier for storage in the memory; in the event that the message is classifiable by the first classifier, updating the statistical message classifier stored in the memory according to the first classification by the processor performing the logarithmic calculation; in the event that the first classifier does not make the first classification, testing the message with a second classifier, wherein the second classifier is capable of making a second classification; and updating the statistical message classifier stored in the memory according to the second classification by the processor, wherein the statistical message classifier corresponds to a probability that the feature in the message is spam; identifying that the message is spam based on the probability that the feature in the message is spam; and quarantining the message. 24. The method for improving a message classifier as recited in claim 21 , wherein the first classifier is user-augmented.
| 0.708134 |
9,984,310 | 13 | 16 |
13. A system for analyzing content items, the system comprising: at least one processor; a component configured to receive an indication of a plurality of content items; a component configured to, for each of the plurality of content items, identify at least one content element of the content item, and for each identified content element of the content item, extract information for the content element, compute a plurality of semantic feature values for the content element based at least in part on the extracted information, compute a plurality of visual feature values for the content element based at least in part on the extracted information, and store the feature values computed, for the content element, based at least in part on the extracted information; a component configured to receive an indication of a first set of content items, wherein each content item of the first set of content items is a member of the plurality of content items; a component configured to, for each pair of content items from among the first set of content items, apply a similarity function to the pair of content items to generate a similarity value for the pair of content items, and store, in association with each content item of the pair of content items, the generated similarity value; and a component configured to, for each content item of the first set of content items, identify a set of similar content items based at least in part on the generated similarity values, and store, in association with the content item, references to at least one content item of the identified set of similar content items, wherein each of the components comprises computer-executable instructions stored in a memory for execution by the at least one processor.
|
13. A system for analyzing content items, the system comprising: at least one processor; a component configured to receive an indication of a plurality of content items; a component configured to, for each of the plurality of content items, identify at least one content element of the content item, and for each identified content element of the content item, extract information for the content element, compute a plurality of semantic feature values for the content element based at least in part on the extracted information, compute a plurality of visual feature values for the content element based at least in part on the extracted information, and store the feature values computed, for the content element, based at least in part on the extracted information; a component configured to receive an indication of a first set of content items, wherein each content item of the first set of content items is a member of the plurality of content items; a component configured to, for each pair of content items from among the first set of content items, apply a similarity function to the pair of content items to generate a similarity value for the pair of content items, and store, in association with each content item of the pair of content items, the generated similarity value; and a component configured to, for each content item of the first set of content items, identify a set of similar content items based at least in part on the generated similarity values, and store, in association with the content item, references to at least one content item of the identified set of similar content items, wherein each of the components comprises computer-executable instructions stored in a memory for execution by the at least one processor. 16. The system of claim 13 , wherein the component configured to receive an indication of a first set of content items receives a copy of at least one content item of the first set of content items.
| 0.759709 |
8,131,550 | 8 | 13 |
8. A computer program product comprising at least one computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising: a first executable portion for extracting a feature indicative of a property of a vocal tract of a speaker from each of training source speech and training target speech; a second executable portion for defining sub-feature units with respect to the feature for both the training source speech and the training target speech to generate training source speech sub-feature units and training target speech sub-feature units, respectively; and a third executable portion for performing voice conversion of source speech to target speech based on the conversion of the sub-feature units to corresponding target speech sub-feature units using a conversion model trained with respect to converting the training source speech sub-feature units to the training target speech sub-feature units.
|
8. A computer program product comprising at least one computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising: a first executable portion for extracting a feature indicative of a property of a vocal tract of a speaker from each of training source speech and training target speech; a second executable portion for defining sub-feature units with respect to the feature for both the training source speech and the training target speech to generate training source speech sub-feature units and training target speech sub-feature units, respectively; and a third executable portion for performing voice conversion of source speech to target speech based on the conversion of the sub-feature units to corresponding target speech sub-feature units using a conversion model trained with respect to converting the training source speech sub-feature units to the training target speech sub-feature units. 13. A computer program product according to claim 8 , further comprising a fourth executable portion for searching a database, for a particular training source speech sub-feature sequence, to identify a corresponding training target speech sub-feature sequence, wherein the conversion model is trained using the corresponding sub-feature sequences.
| 0.5 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.