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9,864,918 | 11 | 15 | 11. Non-transitory computer readable storage media storing instructions that, when executed by one or more processors, cause the processors to: receive an image of a proximal vehicle; identify a boundary around a region of the image where a driver of the proximal vehicle is located, wherein the instructions cause the one or more processors to identify the boundary based on identifying one or more windows of the proximal vehicle; detecting one or more of a driver's head orientation, a gaze direction, and a gesture by processing image data in the boundary to detect the head orientation, the gaze direction, and the gesture; and predict future motion of the proximal vehicle based on the driver's body language by accessing a database or model that correlates the driver's body language detected with one or more future vehicle movements; wherein the database or model correlates a gesture with a current driving context, wherein the driving context comprises a stop at an intersection, an approach to an intersection, merging onto a roadway, exiting a roadway, entering a parking lot or parking spot, or exiting a parking lot or parking spot, wherein the driver's body language comprise one or more of the driver's head orientation, the gaze direction, and the gesture. | 11. Non-transitory computer readable storage media storing instructions that, when executed by one or more processors, cause the processors to: receive an image of a proximal vehicle; identify a boundary around a region of the image where a driver of the proximal vehicle is located, wherein the instructions cause the one or more processors to identify the boundary based on identifying one or more windows of the proximal vehicle; detecting one or more of a driver's head orientation, a gaze direction, and a gesture by processing image data in the boundary to detect the head orientation, the gaze direction, and the gesture; and predict future motion of the proximal vehicle based on the driver's body language by accessing a database or model that correlates the driver's body language detected with one or more future vehicle movements; wherein the database or model correlates a gesture with a current driving context, wherein the driving context comprises a stop at an intersection, an approach to an intersection, merging onto a roadway, exiting a roadway, entering a parking lot or parking spot, or exiting a parking lot or parking spot, wherein the driver's body language comprise one or more of the driver's head orientation, the gaze direction, and the gesture. 15. The computer readable storage media of claim 11 , wherein the instructions further cause the one or more processor to determine a driving maneuver to be performed by a parent vehicle based on the predicted future motion. | 0.595668 |
8,478,732 | 1 | 3 | 1. A computer-implemented method for aliasing a collection of data, comprising: extracting, by a computing device, names and associated terms from a collection of data; normalizing, by the computing device, the extracted names and associated terms; parsing, by the computing device, the normalized names and associated terms in conjunction with a grammar to produce meaning fragments, the grammar representing how words and their component parts combine to form sentences; and mapping, by the computing device, the meaning fragments to a collection of concepts stored in an aliasing file, the concepts representing general ideas inferred or derived from specific instances, wherein alias entries are stored in the aliasing file when a determination is made that multiple normalized names and associated terms map to a single concept, and the aliasing file is used for resolving variations in the extracted names and associated terms during the normalizing step. | 1. A computer-implemented method for aliasing a collection of data, comprising: extracting, by a computing device, names and associated terms from a collection of data; normalizing, by the computing device, the extracted names and associated terms; parsing, by the computing device, the normalized names and associated terms in conjunction with a grammar to produce meaning fragments, the grammar representing how words and their component parts combine to form sentences; and mapping, by the computing device, the meaning fragments to a collection of concepts stored in an aliasing file, the concepts representing general ideas inferred or derived from specific instances, wherein alias entries are stored in the aliasing file when a determination is made that multiple normalized names and associated terms map to a single concept, and the aliasing file is used for resolving variations in the extracted names and associated terms during the normalizing step. 3. The computer-implemented method of claim 1 wherein the grammar is a natural language. | 0.785366 |
8,818,717 | 1 | 3 | 1. A method for increasing route accuracies, the method comprising: recording a waypoint while moving along a route; recording a positional-accuracy measurement for the recorded waypoint; calculating a position accuracy prediction (PAP) parameter for the recorded waypoint based on the recorded positional-accuracy measurement wherein the PAP parameter comprises a first weight value, a first confidence value, and an-a first error distance; and comparing, with a computer processor, the recorded waypoint and the calculated PAP parameter to a corpus waypoint and an associated corpus PAP parameter stored on a computer-based system, wherein the corpus PAP parameter comprises a second weight value, a second confidence value, and a second error distance, and wherein the comparing step comprises: calculating a weight average based on the first and second weight values; computationally extending the first error distance from the PAP parameter of the recorded waypoint to provide a first probability distribution circle; computationally extending the second error distance from the PAP parameter of the corpus waypoint to provide a second probability distribution circle; and computationally generating a vector line between the recorded waypoint and the corpus waypoint; and determining, with the computer processor, an updated waypoint along the vector line between the recorded waypoint and the corpus waypoint and within an overlapping area of the first and second probability distribution circles based on the calculated weight average. | 1. A method for increasing route accuracies, the method comprising: recording a waypoint while moving along a route; recording a positional-accuracy measurement for the recorded waypoint; calculating a position accuracy prediction (PAP) parameter for the recorded waypoint based on the recorded positional-accuracy measurement wherein the PAP parameter comprises a first weight value, a first confidence value, and an-a first error distance; and comparing, with a computer processor, the recorded waypoint and the calculated PAP parameter to a corpus waypoint and an associated corpus PAP parameter stored on a computer-based system, wherein the corpus PAP parameter comprises a second weight value, a second confidence value, and a second error distance, and wherein the comparing step comprises: calculating a weight average based on the first and second weight values; computationally extending the first error distance from the PAP parameter of the recorded waypoint to provide a first probability distribution circle; computationally extending the second error distance from the PAP parameter of the corpus waypoint to provide a second probability distribution circle; and computationally generating a vector line between the recorded waypoint and the corpus waypoint; and determining, with the computer processor, an updated waypoint along the vector line between the recorded waypoint and the corpus waypoint and within an overlapping area of the first and second probability distribution circles based on the calculated weight average. 3. The method of claim 1 , wherein the recorded positional-accuracy measurement for the recorded waypoint is selected from the group consisting of GPS dilution of precision effects, GPS error distances, satellite signal to noise ratios, a number of satellites utilized, satellite configurations, and combinations thereof. | 0.56267 |
7,996,351 | 26 | 27 | 26. A non-transitory computer readable medium storing a computer program for estimating a country where a computing device is configured to operate, the computer program executable by a processor, the computer program comprising sets of instructions for: receiving, at the computing device, a plurality of rules for estimating the country, wherein at least one rule in the plurality of rules comprises an antecedent and an inference, wherein the inference is determined if the antecedent is determined to be true; gathering, at the computing device, a plurality of configuration settings of the computing device; evaluating, at the computing device, each particular rule in the plurality of rules against a particular configuration setting in the plurality of configuration settings to derive the estimate for the country where the computing device is configured to operate; transmitting the estimate to a server; receiving, at the computing device, an identification of a group of products that are available in a plurality of countries; and identifying a set of products that are available in the estimated country by using an identity of the estimated country to exclude, from the group of products that are available in the plurality of countries, products that are not available in the estimated country. | 26. A non-transitory computer readable medium storing a computer program for estimating a country where a computing device is configured to operate, the computer program executable by a processor, the computer program comprising sets of instructions for: receiving, at the computing device, a plurality of rules for estimating the country, wherein at least one rule in the plurality of rules comprises an antecedent and an inference, wherein the inference is determined if the antecedent is determined to be true; gathering, at the computing device, a plurality of configuration settings of the computing device; evaluating, at the computing device, each particular rule in the plurality of rules against a particular configuration setting in the plurality of configuration settings to derive the estimate for the country where the computing device is configured to operate; transmitting the estimate to a server; receiving, at the computing device, an identification of a group of products that are available in a plurality of countries; and identifying a set of products that are available in the estimated country by using an identity of the estimated country to exclude, from the group of products that are available in the plurality of countries, products that are not available in the estimated country. 27. The computer readable medium of claim 26 , wherein the receiving and the processing are performed by a rule engine that receives the plurality of rules and processes the plurality of rules to estimate the country. | 0.5 |
8,897,550 | 17 | 18 | 17. A tangible, non-transitory, computer readable medium comprising machine-readable instructions to: perform a semi-supervised least-squares-based alignment of an image ensemble using an inverse warping technique; determine estimated warping parameters of unlabeled images in the image ensemble based on known warping parameters of labeled images of the image ensemble using results of the semi-supervised least-squares-based alignment; reduce outliers of the estimated warping parameters by partitioning a mean shape space of the semi-supervised least-squares-based alignment, wherein partitioning the means shape space includes iteratively partitioning an initially identified patch corresponding to an image of the image ensemble into child patches; and refine landmark estimations based on resultant patch appearance. | 17. A tangible, non-transitory, computer readable medium comprising machine-readable instructions to: perform a semi-supervised least-squares-based alignment of an image ensemble using an inverse warping technique; determine estimated warping parameters of unlabeled images in the image ensemble based on known warping parameters of labeled images of the image ensemble using results of the semi-supervised least-squares-based alignment; reduce outliers of the estimated warping parameters by partitioning a mean shape space of the semi-supervised least-squares-based alignment, wherein partitioning the means shape space includes iteratively partitioning an initially identified patch corresponding to an image of the image ensemble into child patches; and refine landmark estimations based on resultant patch appearance. 18. The computer readable medium of claim 17 , wherein the instructions instruct a computer to import the initial landmark locations into the computer system. | 0.5 |
9,158,754 | 6 | 9 | 6. A non-transitory computer readable storage medium storing a computer program for causing a computer to execute a method of identifying a document within a block of text, the method comprising: tokenizing a block of text into a plurality of text tokens according to at least one rule parser; comparing each of the plurality of text tokens to a plurality of document tokens sequentially and determining if the text token matches one of the plurality of document tokens, wherein the plurality of document tokens correspond to a plurality of documents which have been tokenized according to the at least one rule parser; filtering each matched text token according to predetermined filtering criteria to generate one or more candidate text tokens; and matching a sequence of candidate text tokens from the one or more candidate text tokens to a sequence of document tokens, wherein the sequence of candidate text tokens occur in sequential order within the block of text, wherein the predetermined filtering criteria includes a plurality of stop words and a plurality of common words, and wherein the filtering includes performing a stop word analysis of comparing the matched text token to the plurality of stop words, such that (i) if the matched text token matches one of the plurality of stop words, a next text token in sequential order, of the plurality of text tokens, is compared to the plurality of document tokens, and (ii) if the matched text token does not match one of the plurality of stop words, a common word analysis of comparing the matched text token to the plurality of common words is performed, such that (a) if the matched text token matches one of the plurality of common words and is not capitalized, the next text token in sequential order is compared to the plurality of document tokens, and (b) if the matched text token does not match one of the plurality of common words, the matched text token is identified as a candidate text token, and the next text token in sequential order is compared to the plurality of document tokens. | 6. A non-transitory computer readable storage medium storing a computer program for causing a computer to execute a method of identifying a document within a block of text, the method comprising: tokenizing a block of text into a plurality of text tokens according to at least one rule parser; comparing each of the plurality of text tokens to a plurality of document tokens sequentially and determining if the text token matches one of the plurality of document tokens, wherein the plurality of document tokens correspond to a plurality of documents which have been tokenized according to the at least one rule parser; filtering each matched text token according to predetermined filtering criteria to generate one or more candidate text tokens; and matching a sequence of candidate text tokens from the one or more candidate text tokens to a sequence of document tokens, wherein the sequence of candidate text tokens occur in sequential order within the block of text, wherein the predetermined filtering criteria includes a plurality of stop words and a plurality of common words, and wherein the filtering includes performing a stop word analysis of comparing the matched text token to the plurality of stop words, such that (i) if the matched text token matches one of the plurality of stop words, a next text token in sequential order, of the plurality of text tokens, is compared to the plurality of document tokens, and (ii) if the matched text token does not match one of the plurality of stop words, a common word analysis of comparing the matched text token to the plurality of common words is performed, such that (a) if the matched text token matches one of the plurality of common words and is not capitalized, the next text token in sequential order is compared to the plurality of document tokens, and (b) if the matched text token does not match one of the plurality of common words, the matched text token is identified as a candidate text token, and the next text token in sequential order is compared to the plurality of document tokens. 9. A non-transitory computer readable storage medium according to claim 6 , wherein the plurality of documents are stored in an inverted index. | 0.739051 |
7,750,891 | 61 | 64 | 61. A system for selectable input based on motion of a pointing device in relation to an region, comprising: means for tracking the motion of the pointing device in relation to the region; a determined device path, comprising a plurality of positions and corresponding times, based upon the tracked motion; a comparison of subsequent positions and corresponding times to path data; means for detecting subsequent positions that meet at least one threshold of a selected position along the determined device path, wherein the determined device path comprises at least two selected positions, wherein the threshold of a selected position within the region comprises any of starting the device path, looping the device path, changing direction of the device path, changing velocity of the device path, pausing motion in the device path, and ending the device path, and wherein the threshold of changing direction comprises any of a curve having an estimated radius that is less than a threshold geometry, a comparison of the device oath direction before and after a curve, a sharp cusp edge in the device path, and a comparison of oath direction before and after a cusp; means for determining which of the detected selected positions along the determined device path correspond to a selectable character; and means for sequential entry of each of the detected selected positions that correspond to a selectable character. | 61. A system for selectable input based on motion of a pointing device in relation to an region, comprising: means for tracking the motion of the pointing device in relation to the region; a determined device path, comprising a plurality of positions and corresponding times, based upon the tracked motion; a comparison of subsequent positions and corresponding times to path data; means for detecting subsequent positions that meet at least one threshold of a selected position along the determined device path, wherein the determined device path comprises at least two selected positions, wherein the threshold of a selected position within the region comprises any of starting the device path, looping the device path, changing direction of the device path, changing velocity of the device path, pausing motion in the device path, and ending the device path, and wherein the threshold of changing direction comprises any of a curve having an estimated radius that is less than a threshold geometry, a comparison of the device oath direction before and after a curve, a sharp cusp edge in the device path, and a comparison of oath direction before and after a cusp; means for determining which of the detected selected positions along the determined device path correspond to a selectable character; and means for sequential entry of each of the detected selected positions that correspond to a selectable character. 64. The system of claim 61 , wherein the region comprises a two-dimensional area. | 0.888736 |
9,398,460 | 1 | 10 | 1. A mobile phone-based system for providing on-demand security to a requester primarily via non-voice communication, the system comprising: a. a database having i. requester data, ii. security escort data, iii. engagement data, iv. review data, and v. at least one request factor; b. at least one requester mobile phone having i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. request security escorts for at least one time period in at least one location, B. select at least one request factor and send a request to an engagement engine, C. receive a response from the engagement engine, D. enable the requester to meet and identify an escort, E. declare an emergency, F. terminate security escort for one time period in one location, and G. close an engagement; c. a screening facility adapted to— i. qualify at least one selected from security escort, requester, and ii. review qualifications of at least are selected from escort and requestor; d. at least one security escort mobile phone having— i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. receive a proposed security engagement, B. respond to the proposed engagement, C. receive security escort details, D. enable an escort to meet and identify a requester, E. declare an emergency, and F. close an engagement; e. an engagement engine having— i. a query generator interactively facilitating each request and generating a query most closely related to the requester's needs in view of each applicable request factor, and ii. a response generator receiving the query and applying request factors to generate a response including confirmation of request, expected cost, and escort identification; f. a meeting engine adapted to— i. transmit location and identification data to the requester and escort, ii. facilitate a meeting between the requester and the escort, iii. receive verification of an agreeable meeting, iv. close each engagement upon notification from at least one selected from requester and escort database, and v. pay the escorts whereby the security escorts required for a particular engagement are determined based on requester-provided data as a function of a requester requirements, security escort provider abilities, and application of request factors. | 1. A mobile phone-based system for providing on-demand security to a requester primarily via non-voice communication, the system comprising: a. a database having i. requester data, ii. security escort data, iii. engagement data, iv. review data, and v. at least one request factor; b. at least one requester mobile phone having i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. request security escorts for at least one time period in at least one location, B. select at least one request factor and send a request to an engagement engine, C. receive a response from the engagement engine, D. enable the requester to meet and identify an escort, E. declare an emergency, F. terminate security escort for one time period in one location, and G. close an engagement; c. a screening facility adapted to— i. qualify at least one selected from security escort, requester, and ii. review qualifications of at least are selected from escort and requestor; d. at least one security escort mobile phone having— i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. receive a proposed security engagement, B. respond to the proposed engagement, C. receive security escort details, D. enable an escort to meet and identify a requester, E. declare an emergency, and F. close an engagement; e. an engagement engine having— i. a query generator interactively facilitating each request and generating a query most closely related to the requester's needs in view of each applicable request factor, and ii. a response generator receiving the query and applying request factors to generate a response including confirmation of request, expected cost, and escort identification; f. a meeting engine adapted to— i. transmit location and identification data to the requester and escort, ii. facilitate a meeting between the requester and the escort, iii. receive verification of an agreeable meeting, iv. close each engagement upon notification from at least one selected from requester and escort database, and v. pay the escorts whereby the security escorts required for a particular engagement are determined based on requester-provided data as a function of a requester requirements, security escort provider abilities, and application of request factors. 10. The system of claim 1 , where a requester photograph is stored with requester profile. | 0.824903 |
8,891,816 | 1 | 2 | 1. A method for interior location identification comprising: parsing, by use of a processor, at least one object from a first image of an interior space; comparing each parsed object with a plurality of stored objects; selecting a parsed object that is differentiated from the stored objects based on a similarity score as a first object, wherein common objects, identified by having a high similarity score, and parsed stationary objects that are identified as potentially mobile are excluded from selection; and indexing a location description of the interior space with the first object in a location record. | 1. A method for interior location identification comprising: parsing, by use of a processor, at least one object from a first image of an interior space; comparing each parsed object with a plurality of stored objects; selecting a parsed object that is differentiated from the stored objects based on a similarity score as a first object, wherein common objects, identified by having a high similarity score, and parsed stationary objects that are identified as potentially mobile are excluded from selection; and indexing a location description of the interior space with the first object in a location record. 2. The method of claim 1 , further comprising: scanning the first image; and appending a secondary location indication to the location record. | 0.668224 |
8,375,296 | 7 | 8 | 7. The apparatus of claim 5 , further comprising means for storing the parsed ruleset in the first local cache only if the parsed ruleset is larger than a predetermined threshold. | 7. The apparatus of claim 5 , further comprising means for storing the parsed ruleset in the first local cache only if the parsed ruleset is larger than a predetermined threshold. 8. The apparatus of claim 7 , wherein the predetermined threshold is dynamically altered based on the size of the first local cache. | 0.521739 |
9,348,814 | 3 | 8 | 3. The method of claim 1 , further comprising providing contact event data to an agent device associated with the selected service agent profile. | 3. The method of claim 1 , further comprising providing contact event data to an agent device associated with the selected service agent profile. 8. The method of claim 3 , further comprising: receiving contact event text correspondence data; and determining semantic characteristics of the contact event text correspondence data based on semantic analysis of the contact event text correspondence data. | 0.5 |
7,509,311 | 21 | 22 | 21. The computer readable storage medium of claim 19 , where said collecting a view statistic regarding said view comprises: detecting a user request to store said view statistic; and collecting said view statistic. | 21. The computer readable storage medium of claim 19 , where said collecting a view statistic regarding said view comprises: detecting a user request to store said view statistic; and collecting said view statistic. 22. The computer readable storage medium of claim 21 , where said detecting a user request to store said view statistic comprises detecting a completeness level request for said view statistic, and said step of collecting said view statistic collects said view statistic to said requested completeness level. | 0.5 |
7,957,968 | 12 | 17 | 12. A computer based system for automatically generating a hierarchical grammar associated with a plurality of tasks comprising: creation means for creating a sub-grammar for each of the plurality of tasks, wherein the creation means comprises: receiving means for receiving data representing the task based from responses received from a distributed database; tagging means for automatically tagging the data into parts of speech to form tagged data; identification means for identifying filler words and core words from said tagged data by applying rules to differentiate between filler words and core words; modeling means for automatically modeling sentence structure based upon said tagged data using a set of modeling rules; synonym means for automatically identifying synonyms of said core words; and grammar means for automatically creating a sub-grammar using the modeled sentence structure, the tagged data, the identified synonyms, and the identified core words; and creation means for creating a high-level grammar by combining filler words identified in the creation of the sub-grammars. | 12. A computer based system for automatically generating a hierarchical grammar associated with a plurality of tasks comprising: creation means for creating a sub-grammar for each of the plurality of tasks, wherein the creation means comprises: receiving means for receiving data representing the task based from responses received from a distributed database; tagging means for automatically tagging the data into parts of speech to form tagged data; identification means for identifying filler words and core words from said tagged data by applying rules to differentiate between filler words and core words; modeling means for automatically modeling sentence structure based upon said tagged data using a set of modeling rules; synonym means for automatically identifying synonyms of said core words; and grammar means for automatically creating a sub-grammar using the modeled sentence structure, the tagged data, the identified synonyms, and the identified core words; and creation means for creating a high-level grammar by combining filler words identified in the creation of the sub-grammars. 17. The system of claim 12 , wherein said data is received using the Internet. | 0.697674 |
9,578,043 | 16 | 17 | 16. A system for updating a trust score, the system comprising: processing circuitry configured to: access a database storing data associated with a network community, the data identifying paths from a first entity to a second entity; calculate a network connectivity score based on the identified paths; receive data about the second entity from a remote source; calculate a ratings score based on the received data from the remote source; calculate a trust score for the second entity by calculating a weighted sum of the network connectivity score and the ratings score using a first set of weights; receive an indication of an activity to be performed in the future between the first entity and the second entity; select a second set of weights corresponding to the activity to be performed in the future, the second set of weights being different than the first set of weights; and recalculate the trust score by recalculating the weighted sum of the network connectivity score and the ratings score using the second set of weights. | 16. A system for updating a trust score, the system comprising: processing circuitry configured to: access a database storing data associated with a network community, the data identifying paths from a first entity to a second entity; calculate a network connectivity score based on the identified paths; receive data about the second entity from a remote source; calculate a ratings score based on the received data from the remote source; calculate a trust score for the second entity by calculating a weighted sum of the network connectivity score and the ratings score using a first set of weights; receive an indication of an activity to be performed in the future between the first entity and the second entity; select a second set of weights corresponding to the activity to be performed in the future, the second set of weights being different than the first set of weights; and recalculate the trust score by recalculating the weighted sum of the network connectivity score and the ratings score using the second set of weights. 17. The system of claim 16 , wherein the first entity and the second entity are connected through a social network. | 0.827327 |
10,019,416 | 1 | 3 | 1. A method comprising: accessing, by a computing system, first data defining multiple portions of a news article, wherein the multiple portions of the news article comprise at least one of a plurality of portions including text, an image, or a hyperlink; selecting, by the computing system, from the plurality of portions including text, a subset of the portions including text, wherein the selecting is based on each portion of the selected subset having a particular characteristic, wherein each portion of the selected subset having the particular characteristic comprises each portion of the selected subset representing text and each portion of the selected subset including content from at least one section from a predefined set of sections of the news article, and further wherein the content from the at least one section of the predefined set of sections is suitable for inclusion in an audible news story; based on the text included in the portions of the selected subset, generating, by the computing system, text-based second data that includes a concatenation of the text included in the portions of the selected subset; and providing, by the computing system, output based on the generated text-based second data. | 1. A method comprising: accessing, by a computing system, first data defining multiple portions of a news article, wherein the multiple portions of the news article comprise at least one of a plurality of portions including text, an image, or a hyperlink; selecting, by the computing system, from the plurality of portions including text, a subset of the portions including text, wherein the selecting is based on each portion of the selected subset having a particular characteristic, wherein each portion of the selected subset having the particular characteristic comprises each portion of the selected subset representing text and each portion of the selected subset including content from at least one section from a predefined set of sections of the news article, and further wherein the content from the at least one section of the predefined set of sections is suitable for inclusion in an audible news story; based on the text included in the portions of the selected subset, generating, by the computing system, text-based second data that includes a concatenation of the text included in the portions of the selected subset; and providing, by the computing system, output based on the generated text-based second data. 3. The method of claim 1 , wherein the selected subset having the particular characteristic further comprises each portion of the selected subset including text. | 0.675403 |
9,336,689 | 1 | 9 | 1. A communication system including: a first communication device specifically configured for use by a call assistant of a remote captioning service providing captioning assistance for a hearing-impaired user during a real-time communication session; and a second communication device specifically configured for use by the hearing-impaired user to provide captions displayed to the hearing-impaired user during the real-time communication session; wherein the first communication device comprises: a first memory device having a speech recognition program stored therein; a first input device configured to receive inputs from the captioning assistant; a first processor operably coupled with the first memory device and the first input device, the first processor configured to: receive a voice signal during a real-time communication session between at least two parties, the voice signal including at least audio from a far end user for the real-time communication session; generate a text transcription for the audio for the far-end user from the voice signal during the real-time communication session using the speech recognition program; transmit a first block of text of the text transcription to the second communication device for display by the second communication device during the real-time communication session; receive the inputs from the call assistant as edits to the text transcription; and transmit a replacement block of text with the edits to the second communication device after transmission of the first block to the second communication device has already occurred, the replacement block of text being an inline correction for the first block of text that was already received and displayed by the second communication device; and wherein the second communication device comprises: second electronic display; and second processor operably coupled with the second electronic display, the second processor configured to: receive the voice signal and during the real-time communication session; receive the first block of text of the text transcription from the remote captioning service; cause the first block of text of the text transcription to be displayed by the second electronic display as captions for the hearing-impaired user during the real-time communication session; receive the replacement block of text from the remote captioning service after the first block of text has been received and displayed by the second electronic display; and cause the replacement block of text to be displayed by the second electronic as an inline correction for the first block of text previously displayed by the second communication device. | 1. A communication system including: a first communication device specifically configured for use by a call assistant of a remote captioning service providing captioning assistance for a hearing-impaired user during a real-time communication session; and a second communication device specifically configured for use by the hearing-impaired user to provide captions displayed to the hearing-impaired user during the real-time communication session; wherein the first communication device comprises: a first memory device having a speech recognition program stored therein; a first input device configured to receive inputs from the captioning assistant; a first processor operably coupled with the first memory device and the first input device, the first processor configured to: receive a voice signal during a real-time communication session between at least two parties, the voice signal including at least audio from a far end user for the real-time communication session; generate a text transcription for the audio for the far-end user from the voice signal during the real-time communication session using the speech recognition program; transmit a first block of text of the text transcription to the second communication device for display by the second communication device during the real-time communication session; receive the inputs from the call assistant as edits to the text transcription; and transmit a replacement block of text with the edits to the second communication device after transmission of the first block to the second communication device has already occurred, the replacement block of text being an inline correction for the first block of text that was already received and displayed by the second communication device; and wherein the second communication device comprises: second electronic display; and second processor operably coupled with the second electronic display, the second processor configured to: receive the voice signal and during the real-time communication session; receive the first block of text of the text transcription from the remote captioning service; cause the first block of text of the text transcription to be displayed by the second electronic display as captions for the hearing-impaired user during the real-time communication session; receive the replacement block of text from the remote captioning service after the first block of text has been received and displayed by the second electronic display; and cause the replacement block of text to be displayed by the second electronic as an inline correction for the first block of text previously displayed by the second communication device. 9. The communication device of claim 1 , wherein the second processor is configured to cause the second electronic display to provide a visual indication that the replacement block of text has replaced the first block of text as displayed by the second electronic display. | 0.736434 |
8,036,996 | 1 | 2 | 1. A machine learning method having a multiple number of learning stages, each learning stage comprising: partitioning, using a computer processor, examples into bins; choosing, using a computer processor, a base classifier for each bin; and assigning, using a computer processor, an example to a bin by counting the number of positive predictions previously made by the base classifier associated with the bin. | 1. A machine learning method having a multiple number of learning stages, each learning stage comprising: partitioning, using a computer processor, examples into bins; choosing, using a computer processor, a base classifier for each bin; and assigning, using a computer processor, an example to a bin by counting the number of positive predictions previously made by the base classifier associated with the bin. 2. The method of claim 1 , wherein assigning an example to a bin comprises classifying an example by a random walk on the number of base classifiers that are positive predictions. | 0.5 |
9,122,497 | 5 | 6 | 5. A computer program product, comprising: a computer readable memory; and a computer readable program code stored in the computer readable memory, the computer readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of validating translated files for inclusion in an application being developed, the method comprising the steps of: the computer system sending a translatable file having externalized content in a single base natural language to a plurality of other computer systems, wherein the externalized content is external to code of the application being developed; in response to a generation of a first translated file including a first translation of the externalized content into a natural language other than the base natural language by another computer system included in the plurality of other computer systems, the computer system receiving the first translated file from the other computer system; in a simulation environment, the computer system simulating a loading of the first translation of the externalized content into a user interface of the application at a runtime of the application and simulating a presentation of the first translation of the externalized content in the user interface at the runtime, by calling one or more functions included in the application, without an actual presentation of the first translation of the externalized content in the user interface, wherein an execution at the runtime of the one or more functions displays the externalized content in the user interface; the computer system determining whether the simulating of the loading of the first translation of the externalized content into the user interface and the simulating of the presentation of the first translation of the externalized content in the user interface by the calling the one or more functions indicates an error condition that causes the application to stop running at the runtime; based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, the computer system: determining the first translation of the externalized content includes a syntax error that causes the error condition, generating a report including an identification of a portion of the first translation of the externalized content that includes the syntax error and an error message that is generated by the application at the runtime in response to the error condition, and initiating a correction of the syntax error by sending the report to the other computer system, wherein the syntax error includes at least one of: (1) a first key included in the first translated file is not matched with exactly one corresponding first value in the first translated file, the first translated file being a first property file including first key-value pairs including the first key and the first value as one of the pairs; (2) a second key in the translatable file is not in the first translated file, the translatable file being a second property file including second key-value pairs, one of the second key-value pairs including the second key; and (3) one or more placeholders in the first translated file are not matched to respective one or more placeholders in the translatable file, the one or more placeholders in the first translated file and the one or more placeholders in the translatable file providing variable substitution by being filled in with actual values by the code of the application at the runtime; and based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, subsequent to a completion by the other computer system of the correction of the syntax error included in the first translation, and in response to a receipt by the computer system of a second translation of the externalized content which includes the correction of the syntax error, the second translation included in a second translated file generated by the other computer system: the computer system simulating a loading of the second translation of the externalized content into the user interface of the application at the runtime and simulating a presentation of the second translation of the externalized content in the user interface at the runtime, by calling the one or more functions, without an actual presentation of the second translation of the externalized content in the user interface; and the computer system determining whether the simulating of the loading of the second translation and the simulating of the presentation of the second translation by the calling the one or more functions indicates the error condition that causes the application to stop running at the runtime; and based in part on the error condition not being indicated by the simulating of the loading of the second translation and the simulating of the presentation of the second translation, the computer system at the runtime presenting the second translation of the externalized content in the user interface without causing the application to stop running at the runtime. | 5. A computer program product, comprising: a computer readable memory; and a computer readable program code stored in the computer readable memory, the computer readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of validating translated files for inclusion in an application being developed, the method comprising the steps of: the computer system sending a translatable file having externalized content in a single base natural language to a plurality of other computer systems, wherein the externalized content is external to code of the application being developed; in response to a generation of a first translated file including a first translation of the externalized content into a natural language other than the base natural language by another computer system included in the plurality of other computer systems, the computer system receiving the first translated file from the other computer system; in a simulation environment, the computer system simulating a loading of the first translation of the externalized content into a user interface of the application at a runtime of the application and simulating a presentation of the first translation of the externalized content in the user interface at the runtime, by calling one or more functions included in the application, without an actual presentation of the first translation of the externalized content in the user interface, wherein an execution at the runtime of the one or more functions displays the externalized content in the user interface; the computer system determining whether the simulating of the loading of the first translation of the externalized content into the user interface and the simulating of the presentation of the first translation of the externalized content in the user interface by the calling the one or more functions indicates an error condition that causes the application to stop running at the runtime; based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, the computer system: determining the first translation of the externalized content includes a syntax error that causes the error condition, generating a report including an identification of a portion of the first translation of the externalized content that includes the syntax error and an error message that is generated by the application at the runtime in response to the error condition, and initiating a correction of the syntax error by sending the report to the other computer system, wherein the syntax error includes at least one of: (1) a first key included in the first translated file is not matched with exactly one corresponding first value in the first translated file, the first translated file being a first property file including first key-value pairs including the first key and the first value as one of the pairs; (2) a second key in the translatable file is not in the first translated file, the translatable file being a second property file including second key-value pairs, one of the second key-value pairs including the second key; and (3) one or more placeholders in the first translated file are not matched to respective one or more placeholders in the translatable file, the one or more placeholders in the first translated file and the one or more placeholders in the translatable file providing variable substitution by being filled in with actual values by the code of the application at the runtime; and based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, subsequent to a completion by the other computer system of the correction of the syntax error included in the first translation, and in response to a receipt by the computer system of a second translation of the externalized content which includes the correction of the syntax error, the second translation included in a second translated file generated by the other computer system: the computer system simulating a loading of the second translation of the externalized content into the user interface of the application at the runtime and simulating a presentation of the second translation of the externalized content in the user interface at the runtime, by calling the one or more functions, without an actual presentation of the second translation of the externalized content in the user interface; and the computer system determining whether the simulating of the loading of the second translation and the simulating of the presentation of the second translation by the calling the one or more functions indicates the error condition that causes the application to stop running at the runtime; and based in part on the error condition not being indicated by the simulating of the loading of the second translation and the simulating of the presentation of the second translation, the computer system at the runtime presenting the second translation of the externalized content in the user interface without causing the application to stop running at the runtime. 6. The program product of claim 5 , wherein the method further comprises the steps of: the computer system presenting a graphical user interface (GUI) that displays entries of the first translated file in proximity to corresponding entries of the translatable file; the computer system receiving and storing an identification of a second error in the first translated file based on a comparison, via the GUI, of the entries of the first translated file against the corresponding entries of the translatable file; the computer system initiating a correction of the second error by the other computer system; and based in part on a completion of the correction of the second error by the other computer system and a generation by the other computer system of the second translate file which includes the correction of the second error, the computer system receiving the second translated file and validating the second translated file by determining the second error is not included in the second translated file, wherein the presenting at the runtime of the second translation of the externalized content in the user interface is further based on the determining the second error is not included in the second translated file. | 0.5 |
7,980,931 | 3 | 4 | 3. The method of claim 1 , wherein only a chosen one of the two or more users is selected as the answering player. | 3. The method of claim 1 , wherein only a chosen one of the two or more users is selected as the answering player. 4. The method of claim 3 , wherein the score of the chosen one of the two or more users is displayed on a social network for a preselected period of time. | 0.5 |
8,423,352 | 8 | 14 | 8. A computer usable program product comprising a computer usable storage device including computer usable code for enhancing language detection in short communications, the computer usable code comprising: computer usable code for storing a short communication in an element of a line cache accessible to an application executing in a data processing system, the element being an element in a set of elements in the line cache; computer usable code for assembling a compound text from contents of a subset of the elements of the line cache; computer usable code for receiving a language identifier (language ID) for the compound text from a language detection algorithm; computer usable code for storing the language ID in a language cache element of a language ID cache accessible to the application, the language ID cache including a set of language cache elements; and computer usable code for determining, using contents of a subset of language cache elements, a language of the short communication. | 8. A computer usable program product comprising a computer usable storage device including computer usable code for enhancing language detection in short communications, the computer usable code comprising: computer usable code for storing a short communication in an element of a line cache accessible to an application executing in a data processing system, the element being an element in a set of elements in the line cache; computer usable code for assembling a compound text from contents of a subset of the elements of the line cache; computer usable code for receiving a language identifier (language ID) for the compound text from a language detection algorithm; computer usable code for storing the language ID in a language cache element of a language ID cache accessible to the application, the language ID cache including a set of language cache elements; and computer usable code for determining, using contents of a subset of language cache elements, a language of the short communication. 14. The computer usable program product of claim 8 , wherein using the language detection algorithm is discontinued after determining the language of the short communication, further comprising: computer usable code for receiving a second short communication; computer usable code for receiving an indication of a language change in the second short communication; and computer usable code for re-engaging the language detection algorithm to detect the second language. | 0.744275 |
9,495,454 | 21 | 24 | 21. A user apparatus for dynamically reclassifying and retrieving at least a target information object among a plurality of information objects accessible through a system, the system being in signal connection with the user apparatus and being accessible to a plurality of attribute classifiers corresponding to the information objects, wherein each of the information objects has at least one of the attribute classifiers, the user apparatus comprising: an input device, generating signals according to a user operation; a processor in signal connection with the input device, outputting the signals to the system and receiving a determined first attribute classifier from the system; and a display unit in signal connection with the processor, displaying the determined first attribute classifier from the system; wherein according to the determined first attribute classifier, a plurality of first information objects, each of which has the determined first attribute classifier, are determined, and the attribute classifiers which do not correspond to any of the first information objects are removed, wherein the attribute classifiers not removed by the central processing unit comprise remained attribute classifiers each corresponding to at least one of the first information objects; wherein the remained attribute classifiers are visibly displayed on the display unit through the system, the remained attribute classifiers are a part of a search result, when at least two of the remained attribute classifiers correspond to a same subset of the first information objects, the at least two of the remained attribute classifiers are combined by the processor in a combined form to serve as a hint, and the hint is visibly displayed on the display unit through the system, wherein the combined form of the remained attribute classifiers are simply listed, grouped, circled, or marked. | 21. A user apparatus for dynamically reclassifying and retrieving at least a target information object among a plurality of information objects accessible through a system, the system being in signal connection with the user apparatus and being accessible to a plurality of attribute classifiers corresponding to the information objects, wherein each of the information objects has at least one of the attribute classifiers, the user apparatus comprising: an input device, generating signals according to a user operation; a processor in signal connection with the input device, outputting the signals to the system and receiving a determined first attribute classifier from the system; and a display unit in signal connection with the processor, displaying the determined first attribute classifier from the system; wherein according to the determined first attribute classifier, a plurality of first information objects, each of which has the determined first attribute classifier, are determined, and the attribute classifiers which do not correspond to any of the first information objects are removed, wherein the attribute classifiers not removed by the central processing unit comprise remained attribute classifiers each corresponding to at least one of the first information objects; wherein the remained attribute classifiers are visibly displayed on the display unit through the system, the remained attribute classifiers are a part of a search result, when at least two of the remained attribute classifiers correspond to a same subset of the first information objects, the at least two of the remained attribute classifiers are combined by the processor in a combined form to serve as a hint, and the hint is visibly displayed on the display unit through the system, wherein the combined form of the remained attribute classifiers are simply listed, grouped, circled, or marked. 24. The user apparatus according to claim 21 , wherein after receiving the determined first attribute classifier, according to at least a user input signal the central processing unit determines at least a second attribute classifier among the remained attribute classifier, the determined at least one second attribute classifier is combinable with at least one of the remained attribute classifiers visibly on the display unit, when the first information objects which the second attribute classifier corresponds to are included in the first information objects which the combined one of the remained attribute classifiers corresponds to. | 0.5 |
8,694,442 | 1 | 3 | 1. A computer-implemented method, comprising: invoking a first transformational protocol executed on a processor-based computing device, wherein the transformational protocol is applied to transform a computer-implemented non-fuzzy network-based structure within a first originating system into a first computer-implemented fuzzy network-based structure; invoking a second transformational protocol executed on a processor based computing device, wherein the transformational protocol is applied to transform a computer-implemented non-fuzzy network-based structure within a second originating system into a second computer-implemented fuzzy network-based structure; invoking a cross-contextualization function, wherein the cross-contextualization function contextually integrates the first fuzzy network-based structure and the second fuzzy network-based structure in accordance with a first usage behavior associated with the first originating system and a second usage behavior associated with the second originating system; and simulating contextually a user navigating in the second originating system while the user interacts with the first originating system, wherein the contextual simulation is performed through application of the contextually integrated first fuzzy network-based structure and the second fuzzy network-based structure. | 1. A computer-implemented method, comprising: invoking a first transformational protocol executed on a processor-based computing device, wherein the transformational protocol is applied to transform a computer-implemented non-fuzzy network-based structure within a first originating system into a first computer-implemented fuzzy network-based structure; invoking a second transformational protocol executed on a processor based computing device, wherein the transformational protocol is applied to transform a computer-implemented non-fuzzy network-based structure within a second originating system into a second computer-implemented fuzzy network-based structure; invoking a cross-contextualization function, wherein the cross-contextualization function contextually integrates the first fuzzy network-based structure and the second fuzzy network-based structure in accordance with a first usage behavior associated with the first originating system and a second usage behavior associated with the second originating system; and simulating contextually a user navigating in the second originating system while the user interacts with the first originating system, wherein the contextual simulation is performed through application of the contextually integrated first fuzzy network-based structure and the second fuzzy network-based structure. 3. The method of claim 1 , further comprising: invoking the first transformational protocol, wherein the first transformational protocol is applied to transform a view-based structure into a fuzzy network-based structure. | 0.613636 |
9,497,173 | 9 | 10 | 9. The method of claim 7 , further comprising: associating, through the web-based interface, selected data with an image of a document stored in the first storage database; and viewing, through the web-based interface, the document and the associated selected data together through the web-based interface. | 9. The method of claim 7 , further comprising: associating, through the web-based interface, selected data with an image of a document stored in the first storage database; and viewing, through the web-based interface, the document and the associated selected data together through the web-based interface. 10. The method of claim 9 , further comprising: displaying upon a cursor selection, through the web-based interface, a drop-down menu for modifying a selection of the data displayed with the document and reselecting the same or different data as displayed and associating the new data selected with the document. | 0.5 |
8,838,440 | 3 | 6 | 3. The method according to claim 2 , further comprising the steps of: receiving a declarative description including a plurality of grammar descriptions; and identifying a combination of grammar descriptions of those described in the received declarative description by parsing the declarative description, wherein the grammar descriptions include at least one of the grammar description types 1 (P 1 U P 2 ) and 2 (P 1 F P 2 ), wherein, in the step of generating a parser combination, a parser combination is generated by combining parsers associated, respectively, with the grammar descriptions identified in the identifying step. | 3. The method according to claim 2 , further comprising the steps of: receiving a declarative description including a plurality of grammar descriptions; and identifying a combination of grammar descriptions of those described in the received declarative description by parsing the declarative description, wherein the grammar descriptions include at least one of the grammar description types 1 (P 1 U P 2 ) and 2 (P 1 F P 2 ), wherein, in the step of generating a parser combination, a parser combination is generated by combining parsers associated, respectively, with the grammar descriptions identified in the identifying step. 6. The method according to claim 3 , wherein, in the grammar description type 1 (P 1 U P 2 ) or the grammar description type 2 (P 1 F P 2 ), one of the first grammar description (P 1 ) and the second grammar description (P 2 ) describes a character string processing function which does not have any accept language while accepting and parsing all input character strings, wherein the function describing grammar description is referred to as grammar description N, and wherein grammar description N describes a natural language processing parser. | 0.5 |
6,012,052 | 15 | 17 | 15. The method of claim 1 wherein the resource transition probabilities define a probability that, within a session, a second resource will be referenced, after a first resource has been referenced. | 15. The method of claim 1 wherein the resource transition probabilities define a probability that, within a session, a second resource will be referenced, after a first resource has been referenced. 17. The method of claim 15 wherein the probability is defined by: a) counting a number of times the second resource is referenced after the first resource has been referenced to generate a first count; b) adding a first constant to the first count to generate a first value; c) counting a number of times the first resource has been referenced to generate a second count; d) adding a second constant to the second count to generate a second value; and e) dividing the first value by the second value. | 0.5 |
7,854,009 | 3 | 12 | 3. The system of claim 2 , wherein the LAN security system assigns the port sites with fixed security ratings. | 3. The system of claim 2 , wherein the LAN security system assigns the port sites with fixed security ratings. 12. The system of claim 3 , wherein the security system directs the any user using a port site exceeding the any user's assigned security level to a port site appropriate for the any user's security level. | 0.5 |
8,788,460 | 13 | 14 | 13. A computer system for enabling a user to search for content contained within a content database, the system comprising: at least one processor; memory coupled to the at least one processor, the memory comprising computer-program instructions executable by the at least one processor for: receiving a request to search for a site collection in the content database; receiving a request to search for a site in the content database; and invoking one or more stored procedures, wherein the one or more stored procedures comprise one or more from a group of stored procedures consisting of: proc_GetSiteCollectionBestMatch, proc_GetSiteCollectionSubset, proc_GetWebSubset, proc_GetWebBestMatch, proc_GetListSubset, and proc_GetListBestMatch. | 13. A computer system for enabling a user to search for content contained within a content database, the system comprising: at least one processor; memory coupled to the at least one processor, the memory comprising computer-program instructions executable by the at least one processor for: receiving a request to search for a site collection in the content database; receiving a request to search for a site in the content database; and invoking one or more stored procedures, wherein the one or more stored procedures comprise one or more from a group of stored procedures consisting of: proc_GetSiteCollectionBestMatch, proc_GetSiteCollectionSubset, proc_GetWebSubset, proc_GetWebBestMatch, proc_GetListSubset, and proc_GetListBestMatch. 14. The computer system of claim 13 , wherein syntax for the procedure “proc_GetListBestMatch” comprises a “BestMatchListId,” wherein the “BestMatchListID” is a list identifier. | 0.710784 |
7,966,341 | 6 | 7 | 6. The method of claim 1 , further comprising: receiving a second query that includes a second date-qualified query term; inspecting the second query to determine that the second query includes a date; and in response to determining that the second query includes a date, establishing the second query as not being a date-qualified query. | 6. The method of claim 1 , further comprising: receiving a second query that includes a second date-qualified query term; inspecting the second query to determine that the second query includes a date; and in response to determining that the second query includes a date, establishing the second query as not being a date-qualified query. 7. The method of claim 6 further comprising generating results for the second query without regard to dates contained in queries, which included the second date-qualified query term, that were previously received by the search engine. | 0.5 |
8,527,538 | 14 | 18 | 14. The system of claim 13 , wherein the geographic data set is a tree structure wherein different positions in the tree structure that share a same level correspond to different geographic locations that share a same geographic region type. | 14. The system of claim 13 , wherein the geographic data set is a tree structure wherein different positions in the tree structure that share a same level correspond to different geographic locations that share a same geographic region type. 18. The system of claim 14 , wherein determining a relationship between the first geographic entity name and the second geographic entity name comprises determining that a second position for the second geographic entity name in the tree structure is an ancestor of a first position for the first geographic entity name in the tree structure. | 0.537838 |
9,426,054 | 2 | 4 | 2. The computer readable storage medium of claim 1 , wherein the program of instructions, when executing, further performs the step of associating the first data object with the first alias. | 2. The computer readable storage medium of claim 1 , wherein the program of instructions, when executing, further performs the step of associating the first data object with the first alias. 4. The computer readable storage medium of claim 2 , wherein the program of instructions, when executing, further performs the step of propagating the first alias to at least a second one of the routers. | 0.5 |
9,430,570 | 3 | 4 | 3. The system according to claim 1 , wherein the application further comprises an ontology repository containing a list of ontologies. | 3. The system according to claim 1 , wherein the application further comprises an ontology repository containing a list of ontologies. 4. The system according to claim 3 , wherein the list of ontologies includes a link to the location of each of the ontologies. | 0.5 |
7,720,599 | 15 | 16 | 15. The tourist information guiding apparatus according to claim 14 , wherein the display controller causes the monitor to display, for a plurality of tourist spots, a list of images relating to the respective tourist spots together with character strings for sightseeing guide written in the language designated by the language receiver. | 15. The tourist information guiding apparatus according to claim 14 , wherein the display controller causes the monitor to display, for a plurality of tourist spots, a list of images relating to the respective tourist spots together with character strings for sightseeing guide written in the language designated by the language receiver. 16. The tourist information guiding apparatus according to claim 15 , further comprising: a charge receiving section for calculating an amount of money received from outside of said apparatus; and a charge calculating section for calculating a charge amount based on the print instruction received by said print instruction receiver and for issuing a permission signal when the charge receiving section receives said calculated charge amount. | 0.5 |
7,756,869 | 1 | 9 | 1. A computer-readable medium storing a computer program, wherein the stored computer program contains instructions for extracting a referential key from a document image, the extracted referential key comprising a key type, a key location, and characters representing the extracted referential key, wherein the document image is derived from a scanner, the stored computer program comprising at least one code segment that: parses the document image to locate a first indicator, the located first indicator including at least one of a placement indicator, a format indicator, and a font indicator that indicates a found referential key within the document image; determines if the located first indicator is determinative of a key type of the found referential key, without knowledge of text contained within the found referential key; if the located first indicator is not determinative of the key type of the found referential key: parses the found referential key to locate a second indicator, the located second indicator including at least one of a placement indicator, a format indicator, and a font indicator; determines if a combination of the located first indicator and the located second indicator is determinative of the key type of the found referential key; extracts characters from the found referential key using an optical character recognition routine to scan the found referential key once at least one of the located first indicator, and the combination of the located first indicator and the located second indicator, is found to be determinative of the key type; and stores the key type of the found referential key, the key location of the found referential key, and the extracted characters of the found referential key representing the found referential key in a structured format according to the key type, the extracted characters, and the key location, wherein the structured format comprises computer-readable content allowing navigation to, from, and within the document image. | 1. A computer-readable medium storing a computer program, wherein the stored computer program contains instructions for extracting a referential key from a document image, the extracted referential key comprising a key type, a key location, and characters representing the extracted referential key, wherein the document image is derived from a scanner, the stored computer program comprising at least one code segment that: parses the document image to locate a first indicator, the located first indicator including at least one of a placement indicator, a format indicator, and a font indicator that indicates a found referential key within the document image; determines if the located first indicator is determinative of a key type of the found referential key, without knowledge of text contained within the found referential key; if the located first indicator is not determinative of the key type of the found referential key: parses the found referential key to locate a second indicator, the located second indicator including at least one of a placement indicator, a format indicator, and a font indicator; determines if a combination of the located first indicator and the located second indicator is determinative of the key type of the found referential key; extracts characters from the found referential key using an optical character recognition routine to scan the found referential key once at least one of the located first indicator, and the combination of the located first indicator and the located second indicator, is found to be determinative of the key type; and stores the key type of the found referential key, the key location of the found referential key, and the extracted characters of the found referential key representing the found referential key in a structured format according to the key type, the extracted characters, and the key location, wherein the structured format comprises computer-readable content allowing navigation to, from, and within the document image. 9. The computer-readable medium of claim 1 , wherein extracting characters from the found referential key includes copying the found referential key. | 0.730072 |
8,615,131 | 12 | 13 | 12. A system for online character recognition of Arabic text, the system comprising: a user handwriting strokes interface, receiving handwritten Arabic text from a user in the form of handwriting strokes, and sampling said handwriting strokes to acquire a sequence of two-dimensional point representations thereof, including associated temporal data; a character recognition processor, coupled with said user handwriting strokes interface, said character recognition processor geometrically pre-processing and extracting features on said point representations, detecting delayed strokes and word-parts in said pre-processed point representations, projecting said delayed strokes onto the body of said word-parts, constructing feature vector representations for each said word-part, thereby generating an observation sequence, generating at least one word-part dictionary of said word-parts indexed in accordance with word features, and determining the word with maximum probability given said observation sequence, resulting in a list of word probabilities; and a storage unit, coupled with said user handwriting strokes interface and with said character recognition processor; wherein said at least one word-part dictionary is a sub-dictionary of a dictionary that includes a set of valid words; said at least one word-part dictionary contains words having a predetermined integer number of word-parts; and each said word-part refers to an intra-connected portion of a word, which is bounded on each side by a minimal amount of space in the text. | 12. A system for online character recognition of Arabic text, the system comprising: a user handwriting strokes interface, receiving handwritten Arabic text from a user in the form of handwriting strokes, and sampling said handwriting strokes to acquire a sequence of two-dimensional point representations thereof, including associated temporal data; a character recognition processor, coupled with said user handwriting strokes interface, said character recognition processor geometrically pre-processing and extracting features on said point representations, detecting delayed strokes and word-parts in said pre-processed point representations, projecting said delayed strokes onto the body of said word-parts, constructing feature vector representations for each said word-part, thereby generating an observation sequence, generating at least one word-part dictionary of said word-parts indexed in accordance with word features, and determining the word with maximum probability given said observation sequence, resulting in a list of word probabilities; and a storage unit, coupled with said user handwriting strokes interface and with said character recognition processor; wherein said at least one word-part dictionary is a sub-dictionary of a dictionary that includes a set of valid words; said at least one word-part dictionary contains words having a predetermined integer number of word-parts; and each said word-part refers to an intra-connected portion of a word, which is bounded on each side by a minimal amount of space in the text. 13. The system according to claim 12 , wherein said system operates on a graphics tablet. | 0.819106 |
9,582,549 | 11 | 13 | 11. One or more non-transitory computer storage devices having instructions stored thereon that, when executed by a computer, cause the computer to perform operations comprising: receiving, by a search application installed on a user device, a query entered by a user of the user device; providing, by the search application, the query to a plurality of third-party applications installed on the user device, other than the search application; receiving, by the search application, a respective set of search results from each of the third-party applications as a respective response to the query, wherein each respective set of search results identifies data managed by the respective third-party application from which the respective set of search results is received, wherein at least one of the respective sets of search results includes multiple search results; integrating, by the search application, the respective sets of search results from the third-party applications into an integrated result set that includes groups of search results, wherein each group of search results corresponds to a different third-party application among the plurality of third-party applications and includes only the respective set of search results received from the corresponding third-party application; identifying, for each respective third-party application among the plurality of third-party applications, a respective score that indicates a number of user selections of search results from the respective third-party application that have previously occurred on the user device; ranking the groups of search results in the integrated result set based on the respective scores for the third-party applications that correspond to the groups of search results; and presenting, by the search application, the integrated result set on the user device in an arrangement that corresponds to the ranking of the groups of search results in the integrated result set. | 11. One or more non-transitory computer storage devices having instructions stored thereon that, when executed by a computer, cause the computer to perform operations comprising: receiving, by a search application installed on a user device, a query entered by a user of the user device; providing, by the search application, the query to a plurality of third-party applications installed on the user device, other than the search application; receiving, by the search application, a respective set of search results from each of the third-party applications as a respective response to the query, wherein each respective set of search results identifies data managed by the respective third-party application from which the respective set of search results is received, wherein at least one of the respective sets of search results includes multiple search results; integrating, by the search application, the respective sets of search results from the third-party applications into an integrated result set that includes groups of search results, wherein each group of search results corresponds to a different third-party application among the plurality of third-party applications and includes only the respective set of search results received from the corresponding third-party application; identifying, for each respective third-party application among the plurality of third-party applications, a respective score that indicates a number of user selections of search results from the respective third-party application that have previously occurred on the user device; ranking the groups of search results in the integrated result set based on the respective scores for the third-party applications that correspond to the groups of search results; and presenting, by the search application, the integrated result set on the user device in an arrangement that corresponds to the ranking of the groups of search results in the integrated result set. 13. The one or more non-transitory computer storage devices of claim 11 , wherein providing the query to the one or more third-party applications comprises providing an updated query automatically to the third-party applications for each character entered by the user of the user device. | 0.777519 |
8,775,158 | 3 | 8 | 3. The data processing device, as claimed in claim 2 , wherein the association node joint unit has a function of connecting the weak association nodes by a semantic association branch, and the characteristic structure extraction unit has a function in which a partial structure of the graph is not extracted as the characteristic structure when the partial structure includes nodes connected by the semantic association branch, in addition, at least one of those nodes is not connected with another node by the dependency branch. | 3. The data processing device, as claimed in claim 2 , wherein the association node joint unit has a function of connecting the weak association nodes by a semantic association branch, and the characteristic structure extraction unit has a function in which a partial structure of the graph is not extracted as the characteristic structure when the partial structure includes nodes connected by the semantic association branch, in addition, at least one of those nodes is not connected with another node by the dependency branch. 8. The data processing device, as claimed in claim 3 , wherein the association node extraction unit has a function of related word node extraction for extracting related word nodes including words regarded as related words in a thesaurus as the association nodes, the association node joint unit has a function of node categorization for categorizing the related word nodes into the weak association nodes. | 0.52459 |
7,996,439 | 11 | 13 | 11. The method of claim 1 further comprising receiving a document for signature with the metadata associated with the document after prompting the originator. | 11. The method of claim 1 further comprising receiving a document for signature with the metadata associated with the document after prompting the originator. 13. The method of claim 11 wherein the receiving of the document comprises forwarding the document or a link or other reference to the document by email along with associated metadata. | 0.608511 |
8,971,630 | 12 | 16 | 12. A device for detecting the boundaries of characters in an electronic image, the electronic image including representations of characters, the device comprising: a processor; and a memory configured with processor-executable instructions which, when executed by the processor, implement a method, the method comprising: identifying a line of glyph-based character representations in the electronic image; isolating a plurality of glyph-based character representations; loading a set of character patterns into the memory; loading the plurality of glyph-based character representations into the cache; and recognizing the plurality of glyph-based character representations with the set of character patterns while one or more of the plurality of glyph-based character representations are in the cache. | 12. A device for detecting the boundaries of characters in an electronic image, the electronic image including representations of characters, the device comprising: a processor; and a memory configured with processor-executable instructions which, when executed by the processor, implement a method, the method comprising: identifying a line of glyph-based character representations in the electronic image; isolating a plurality of glyph-based character representations; loading a set of character patterns into the memory; loading the plurality of glyph-based character representations into the cache; and recognizing the plurality of glyph-based character representations with the set of character patterns while one or more of the plurality of glyph-based character representations are in the cache. 16. The device of claim 12 , wherein the assigning of a penalty to the arcs includes assigning a first type penalty or a second type penalty to a respective arc based upon a position of the arc relative to a designated region in the histogram. | 0.867358 |
7,605,938 | 13 | 14 | 13. A device for printing data, the device comprising: a storage module that stores a file to be printed; a control module that generates a first mark-up document that describes the stored file, the first mark-up document comprising text data and link data that indicates a location at which the file is stored in a storage unit, and a second mark-up document that describes the file, the second mark-up document comprising identification information that identifies the file at the location indicated by the link data, and that generates a document to be transmitted to a printing device using the first mark-up document and the second mark-up document; and an external-device interface module that transmits the generated document to the printing device, wherein the printing device analyzes the document to obtain the link data and the identification information, transmits a request for the file to the device for printing data based on the extracted link data and identification information, receives the file from the device for printing data that is extracted from the storage module based on the extracted link data and identification information, and outputs the file. | 13. A device for printing data, the device comprising: a storage module that stores a file to be printed; a control module that generates a first mark-up document that describes the stored file, the first mark-up document comprising text data and link data that indicates a location at which the file is stored in a storage unit, and a second mark-up document that describes the file, the second mark-up document comprising identification information that identifies the file at the location indicated by the link data, and that generates a document to be transmitted to a printing device using the first mark-up document and the second mark-up document; and an external-device interface module that transmits the generated document to the printing device, wherein the printing device analyzes the document to obtain the link data and the identification information, transmits a request for the file to the device for printing data based on the extracted link data and identification information, receives the file from the device for printing data that is extracted from the storage module based on the extracted link data and identification information, and outputs the file. 14. The device according to claim 13 , wherein the document to be transmitted to the printing device is prepared in accordance with a Multipurpose Internet Mail Extension (MIME) standard. | 0.5 |
8,320,681 | 10 | 16 | 10. A character recognizing apparatus, comprising: a camera activated according to a character recognition request; a display unit for displaying one or more images photographed through the camera; and a recognition controlling unit for setting a preview mode that displays one or more images photographed through the camera in accordance with a character recognition request in real time, controlling an auto focus of the camera, obtaining an image having a predetermined level of clarity for character recognition from the one or more images obtained in the preview mode, character-recognition-processing the image for character recognition so as to extract recognition result data, and deriving a final recognition character row that excludes non-character data from the recognition result data, wherein the recognition controlling unit compares each of the one or more images for two or more frames obtained in the preview mode so as to detect existence of movement and controls the auto focus when movement is detected. | 10. A character recognizing apparatus, comprising: a camera activated according to a character recognition request; a display unit for displaying one or more images photographed through the camera; and a recognition controlling unit for setting a preview mode that displays one or more images photographed through the camera in accordance with a character recognition request in real time, controlling an auto focus of the camera, obtaining an image having a predetermined level of clarity for character recognition from the one or more images obtained in the preview mode, character-recognition-processing the image for character recognition so as to extract recognition result data, and deriving a final recognition character row that excludes non-character data from the recognition result data, wherein the recognition controlling unit compares each of the one or more images for two or more frames obtained in the preview mode so as to detect existence of movement and controls the auto focus when movement is detected. 16. The character recognizing apparatus as claimed in claim 10 , wherein the recognition controlling unit, for determining the existence of a character, obtains the one or more images obtained in the preview mode, obtains a character detection area in the one or more images, performs edge filtering so as to extract the number of edges, determines that the character exists when the extracted number of edges is greater than or equal to a boundary value, and re-performs the determination of the existence of the character when the extracted number of edges is less than the boundary value. | 0.684968 |
8,365,138 | 20 | 23 | 20. The process of claim 1 wherein step D comprises using said computer to automatically retrieve data from said Formal Language Specification and storing said data in said code generation structures so as to create code generation structure which are structured such that said code generation methods(s) generate computer readable source code of said application which is structured to control a computer to provide user interface interaction mechanisms which allow a user who has logged on to said application to execute services of classes of objects created by said application which said user has privileges to access and to execute queries on said classes of objects which said user has privileges to access, said execution of services and queries carried out by said user by interacting with one or more user interfaces in the form of Service Presentation patterns which controls how a service will obtain data from said user using said computer, Instance Presentation patterns each of which controls how properties of objects in a class owning said Instance Presentation pattern will be presented to said user, Class Population Presentation patterns each of which control how the properties of multiple objects of a class owning said Class Population Presentation pattern will be presented to said user and/or Master/Detail Presentation patterns which control how an object will be displayed which is related to other related objects that complete the full detail of the object, and wherein step D further comprises using a computer to automatically write computer readable source code structured to control a computer executing said application to display an application main form containing a menu showing the services a user who has logged onto said application has access to and can execute, said computer readable source code also structured to control said computer such that when a user requests to activate a service and supplies arguments needed by said service, said computer automatically validates service arguments entered by said user, and, if said service arguments are found to be valid, said source code is structured to control said computer so as to automatically build a message to supply said validated services arguments to the appropriate object server which executes said service, said object server being part of system logic implemented by said source code of said application, said object server functioning to carry out said service, and wherein said computer readable source code is also structured to control said computer executing said service to inform said user of said application whether said service execution succeeded or failed, and for each said service, said computer readable source code is structured to control a computer to carry out said step of validation of said service arguments by displaying a service form which points to the appropriate object server to carry out said service and which has an introduction field for each argument the user must provide, and controlling said computer to carry out said step of validating said service arguments by validating data types, sizes, value-ranges and nulls in user input data entered by said user to fill in service arguments, and wherein said automatically generated computer readable source code is also structured to control said computer to search object browsing information and filter said object browsing information for object-valued fields. | 20. The process of claim 1 wherein step D comprises using said computer to automatically retrieve data from said Formal Language Specification and storing said data in said code generation structures so as to create code generation structure which are structured such that said code generation methods(s) generate computer readable source code of said application which is structured to control a computer to provide user interface interaction mechanisms which allow a user who has logged on to said application to execute services of classes of objects created by said application which said user has privileges to access and to execute queries on said classes of objects which said user has privileges to access, said execution of services and queries carried out by said user by interacting with one or more user interfaces in the form of Service Presentation patterns which controls how a service will obtain data from said user using said computer, Instance Presentation patterns each of which controls how properties of objects in a class owning said Instance Presentation pattern will be presented to said user, Class Population Presentation patterns each of which control how the properties of multiple objects of a class owning said Class Population Presentation pattern will be presented to said user and/or Master/Detail Presentation patterns which control how an object will be displayed which is related to other related objects that complete the full detail of the object, and wherein step D further comprises using a computer to automatically write computer readable source code structured to control a computer executing said application to display an application main form containing a menu showing the services a user who has logged onto said application has access to and can execute, said computer readable source code also structured to control said computer such that when a user requests to activate a service and supplies arguments needed by said service, said computer automatically validates service arguments entered by said user, and, if said service arguments are found to be valid, said source code is structured to control said computer so as to automatically build a message to supply said validated services arguments to the appropriate object server which executes said service, said object server being part of system logic implemented by said source code of said application, said object server functioning to carry out said service, and wherein said computer readable source code is also structured to control said computer executing said service to inform said user of said application whether said service execution succeeded or failed, and for each said service, said computer readable source code is structured to control a computer to carry out said step of validation of said service arguments by displaying a service form which points to the appropriate object server to carry out said service and which has an introduction field for each argument the user must provide, and controlling said computer to carry out said step of validating said service arguments by validating data types, sizes, value-ranges and nulls in user input data entered by said user to fill in service arguments, and wherein said automatically generated computer readable source code is also structured to control said computer to search object browsing information and filter said object browsing information for object-valued fields. 23. The process of claim 20 wherein step D comprises using said computer to automatically retrieve data from said Formal Language Specification and storing said data in said code generation structures so as to create code generation structures which are structured such that said code generation methods(s) generate computer readable source code of said application which is structured to control a computer to provide user interface interaction mechanisms which allow a user who has logged on to said application to query information on an instance of a class, execute services on said instance and/or navigate to interaction scenarios displaying information related with said instance, by interaction with an Instance Presentation Pattern of the class owning said instance, said source code structured to control said computer to carry out steps including: controlling said computer to provide a mechanism to identify said Instance Presentation Pattern by its alias; controlling said computer to present a help message, if any, associated with said Instance Presentation Pattern; controlling said computer to provide a mechanism to present said user with the value of each element in the Display Set Pattern of said Instance Presentation Pattern, each element identified by the alias of said element and presented in the order dictated by said Display Set Pattern, said elements being further restricted to those elements that correspond to attributes the logged on user is allowed to query; controlling said computer to provide a mechanism to access each user interface interaction scenarios corresponding to each service that can be executed on the object displayed by said Instance Presentation Pattern, each of said services identified by the alias of the Service Presentation Pattern corresponding to each of said services, said services being further restricted to the ones the logged on user is allowed to execute; controlling said computer to provide a mechanism to present said user with a help message associated with each service, if any, executable on said object displayed by said Instance Presentation Pattern; controlling said computer to provide a mechanism to access each user interface interaction scenario corresponding to each class, if any, owning instances related with the instance belonging to the class owning said Instance Presentation Pattern, each of said user interface interaction scenarios being identified by the alias of its corresponding Presentation Pattern, said user interface interaction scenarios being further restricted to the ones corresponding to classes said logged on user is allowed to query; controlling said computer to provide a mechanism to present said user with any help message associated with each of said user interface interaction scenarios corresponding to each class, if any, owning instances related with instance belonging to the class owning said Instance Presentation Pattern; and controlling said computer to provide a mechanism to cancel the interaction of the logged on user with the user interface interaction scenario represented by said Instance Presentation Pattern. | 0.769711 |
9,826,056 | 1 | 4 | 1. A method comprising: sending for display to a target user of a social networking system a news ticker presenting a plurality of stories each describing an action performed by a user of the social networking system connected to the target user and identifying the user performing the action, each of the plurality of stories associated with a story type, the news ticker including stories associated with a threshold number of story types, the threshold number of story types comprising a plurality of story types, the news ticker comprising a graphical user interface; detecting, by an action interface module, one or more actions performed by users connected to the target user after the news ticker is sent to the target user, the action interface module configured to detect and store actions performed by users of the social networking system in real time; retrieving, by a news ticker computing system, candidate stories each describing a detected action performed by a user connected to the target user and each associated with a story type; selecting, by the news ticker computing system, a candidate story associated with a story type for inclusion in an updated news ticker such that the updated news ticker includes at least the threshold number of story types; without receiving an input from the target user, modifying, by the news ticker computing system, a presentation of stories within the news ticker to include the selected candidate story, to remove an existing story from the presentation of stories within the news ticker associated with the same story type as the selected candidate story, and such that the presentation of stories within the news ticker includes at least the threshold number of story types to generate the updated news ticker; and sending the updated news ticker including the selected candidate story for display to the target user. | 1. A method comprising: sending for display to a target user of a social networking system a news ticker presenting a plurality of stories each describing an action performed by a user of the social networking system connected to the target user and identifying the user performing the action, each of the plurality of stories associated with a story type, the news ticker including stories associated with a threshold number of story types, the threshold number of story types comprising a plurality of story types, the news ticker comprising a graphical user interface; detecting, by an action interface module, one or more actions performed by users connected to the target user after the news ticker is sent to the target user, the action interface module configured to detect and store actions performed by users of the social networking system in real time; retrieving, by a news ticker computing system, candidate stories each describing a detected action performed by a user connected to the target user and each associated with a story type; selecting, by the news ticker computing system, a candidate story associated with a story type for inclusion in an updated news ticker such that the updated news ticker includes at least the threshold number of story types; without receiving an input from the target user, modifying, by the news ticker computing system, a presentation of stories within the news ticker to include the selected candidate story, to remove an existing story from the presentation of stories within the news ticker associated with the same story type as the selected candidate story, and such that the presentation of stories within the news ticker includes at least the threshold number of story types to generate the updated news ticker; and sending the updated news ticker including the selected candidate story for display to the target user. 4. The method of claim 1 , wherein selecting the candidate story associated with a story type comprises: selecting, by the news ticker computing system, a candidate story associated with a specified story type for inclusion in the updated news ticker such that the updated news ticker includes at least a threshold number of stories associated with the specified story type. | 0.613636 |
8,150,924 | 18 | 20 | 18. The computer readable storage medium of claim 15 , wherein the first display information includes information enabling the client system to display as part of the user interface, a plurality of respective label affordances for respective labels, wherein each respective label affordance is configured to, in response to selection of the respective label affordance, cause a respective predefined request for conversations having messages associated with the respective label to be transmitted from the client system to the server system. | 18. The computer readable storage medium of claim 15 , wherein the first display information includes information enabling the client system to display as part of the user interface, a plurality of respective label affordances for respective labels, wherein each respective label affordance is configured to, in response to selection of the respective label affordance, cause a respective predefined request for conversations having messages associated with the respective label to be transmitted from the client system to the server system. 20. The computer readable storage medium of claim 18 , wherein the plurality of respective label affordances includes a second label affordance associated with a second predefined request for messages associated with a second label, and the one or more computer programs further comprises instructions which, when executed by the server system, cause the server system to: after sending the first display information to the client system, receiving the second predefined request from the client system; and in response to the second predefined request: produce a second list of conversations in accordance with a criterion that all conversations in the second list of conversations include at least one message associated with the second label, wherein a plurality of the conversations in the second list each include a plurality of messages; and send, to the client system, third display information enabling the client system to display the second list of conversations. | 0.5 |
7,996,767 | 1 | 2 | 1. An application server, comprising: a file configuration module configured for creating multiple extensible markup language (XML) templates, for setting basic requirements of drafted files, and for mapping the XML templates to chapter headers in the drafted files; a file loading module configured for analyzing and verifying whether the drafted files meet the basic requirements; a file parsing module configured for reading the drafted files, for opening corresponding XML templates when reading the chapter headers in the drafted files, and for parsing contents of the drafted files into the XML templates, the contents in the drafted files comprising an equation object, the equation object being parsed into the corresponding XML template by copying the equation object in the drafted files onto a clipboard, creating a tagged image file format (TIFF) image of the equation object on the clipboard, converting the TIFF image into a joint photographic experts group (JPEG) image, saving the JPEG image of the equation object at a specified path, recording the specified path of the JPEG image with XML codes, and inserting the XML codes into the corresponding XML template; a file generating module configured for generating patent application files according to the XML templates; and at least one processor for executing the file configuration module, the file loading module, the file parsing module, and the file generating module. | 1. An application server, comprising: a file configuration module configured for creating multiple extensible markup language (XML) templates, for setting basic requirements of drafted files, and for mapping the XML templates to chapter headers in the drafted files; a file loading module configured for analyzing and verifying whether the drafted files meet the basic requirements; a file parsing module configured for reading the drafted files, for opening corresponding XML templates when reading the chapter headers in the drafted files, and for parsing contents of the drafted files into the XML templates, the contents in the drafted files comprising an equation object, the equation object being parsed into the corresponding XML template by copying the equation object in the drafted files onto a clipboard, creating a tagged image file format (TIFF) image of the equation object on the clipboard, converting the TIFF image into a joint photographic experts group (JPEG) image, saving the JPEG image of the equation object at a specified path, recording the specified path of the JPEG image with XML codes, and inserting the XML codes into the corresponding XML template; a file generating module configured for generating patent application files according to the XML templates; and at least one processor for executing the file configuration module, the file loading module, the file parsing module, and the file generating module. 2. The application server as claimed in claim 1 , wherein the file loading module is further configured for receiving the patent bibliographical data and the drafted files, and for storing the patent bibliographical data and the drafted files into the system. | 0.5 |
9,967,380 | 45 | 46 | 45. The communication system of claim 42 wherein the captioned device is configured to establish communication with the hard of hearing user's phone device in response to a user input. | 45. The communication system of claim 42 wherein the captioned device is configured to establish communication with the hard of hearing user's phone device in response to a user input. 46. The communication system of claim 45 wherein the captioned device further comprises a button and wherein the captioned device is further configured to receive the hearing user's voice signal responsive to a detection of a user selecting the button. | 0.5 |
7,983,913 | 1 | 11 | 1. A system for recognizing location information input by a user, the location information including an intersection of streets, the system comprising: a grammar having a street grammar component that maps various different pronunciations of street names to semantic tags; a recognition system configured to receive the location information input, access the grammar, and generate a street name recognition hypothesis with associated semantic tags; an intersection data store storing a plurality of valid street intersections, each street intersection having street names of intersecting streets; a tokenization component configured to receive the street name recognition hypothesis and the associated semantic tags and to generate, for each of the associated semantic tags, a tokenized query having phonemes that are labeled with a digits position; a search component configured to search the intersection data store based on the tokenized queries and output at least one recognized intersection result identifying a street intersection recognized from the location information input by the user; and wherein the phonemes are labeled with a “100” for a 100's place, with a “10” for a 10's place, with a “1” for a 1's place, and with a “0” for an ordinal suffix. | 1. A system for recognizing location information input by a user, the location information including an intersection of streets, the system comprising: a grammar having a street grammar component that maps various different pronunciations of street names to semantic tags; a recognition system configured to receive the location information input, access the grammar, and generate a street name recognition hypothesis with associated semantic tags; an intersection data store storing a plurality of valid street intersections, each street intersection having street names of intersecting streets; a tokenization component configured to receive the street name recognition hypothesis and the associated semantic tags and to generate, for each of the associated semantic tags, a tokenized query having phonemes that are labeled with a digits position; a search component configured to search the intersection data store based on the tokenized queries and output at least one recognized intersection result identifying a street intersection recognized from the location information input by the user; and wherein the phonemes are labeled with a “100” for a 100's place, with a “10” for a 10's place, with a “1” for a 1's place, and with a “0” for an ordinal suffix. 11. The system of claim 1 wherein the street name recognition hypothesis includes semantic tags for a plurality of street names and wherein the tokenization component is configured to generate a query for each semantic tag. | 0.688547 |
7,826,665 | 12 | 13 | 12. The system as set forth in claim 10 , wherein the at least one database queried by the database query includes a plurality of databases, and the content candidates scoring processor further comprises: stored database weights corresponding to the databases, the scores assigned based on the collected records incorporating the database weights of the databases from which the records were collected. | 12. The system as set forth in claim 10 , wherein the at least one database queried by the database query includes a plurality of databases, and the content candidates scoring processor further comprises: stored database weights corresponding to the databases, the scores assigned based on the collected records incorporating the database weights of the databases from which the records were collected. 13. The system as set forth in claim 12 , wherein the content candidates scoring processor further comprises: a database weights adjuster that adjusts the stored database weights based on ongoing accuracy of support for textual content candidates provided by the databases. | 0.5 |
7,668,388 | 8 | 11 | 8. The method of claim 1 , wherein the plurality of focus classification features comprises at least one focus classification feature that is insensitive to the spatial distribution of the pixel intensity variations in the image. | 8. The method of claim 1 , wherein the plurality of focus classification features comprises at least one focus classification feature that is insensitive to the spatial distribution of the pixel intensity variations in the image. 11. The method of claim 8 , the method further comprising determining the number of pixels included in at least some of the bins of an image pixel intensity histogram, wherein the focus classification feature that is insensitive to the spatial distribution associated with the pixel intensity variations in the image is determined based on the image pixel intensity histogram. | 0.5 |
9,152,730 | 16 | 18 | 16. A non-transitory computer-readable medium containing software that extracts principal content from Web pages, the software comprising: executable code that identifies and classifies items on the Web page; executable code that builds a list of candidates; executable code that calculates candidate scores that vary according to a plurality of weights assigned to paragraphs and images of the Web page, wherein a particular paragraph is provided with a first weight based on a number of lines in the particular paragraph and is provided with a second weight based on a number of words in the particular paragraph, the first weight being independent of the second weight and a particular image is provided with a weight based on a size of the particular image; executable code that selects a top score candidate; executable code that performs clean up processing for the top score candidate; and executable code that performs final page processing for the top score candidate. | 16. A non-transitory computer-readable medium containing software that extracts principal content from Web pages, the software comprising: executable code that identifies and classifies items on the Web page; executable code that builds a list of candidates; executable code that calculates candidate scores that vary according to a plurality of weights assigned to paragraphs and images of the Web page, wherein a particular paragraph is provided with a first weight based on a number of lines in the particular paragraph and is provided with a second weight based on a number of words in the particular paragraph, the first weight being independent of the second weight and a particular image is provided with a weight based on a size of the particular image; executable code that selects a top score candidate; executable code that performs clean up processing for the top score candidate; and executable code that performs final page processing for the top score candidate. 18. A non-transitory computer-readable medium, according to claim 16 , wherein executable code that calculates candidate scores determines an Initial Score using the formula:
Initial Score=1000×(1.5×( N 5-line-paragraphs +N 80-word-paragraphs )+ N 3-line-paragraphs +N 50-word-paragraphs +3 ×N large-images −0.5×( N small-images +N skipped-images )) where N 5-line-paragraphs is a number of five line paragraphs in the candidate, N 80-word-paragraphs is a number of 80 word paragraphs in the candidate, N 3-line-paragraphs is a number of 3 line paragraphs in the candidate, N 50-word-paragraphs is a number of 50 word paragraphs in the candidate, N large-images is a number of images that contain at least 50K pixels or have a width of at least 350 pixels and a height of at least 75 pixels, N skipped-images is a number of images that have a size not exceeding 5×5 or are present on Web page as references to at least one of: blacklisted and quarantined sites, and all other images are count toward N small-images . | 0.5 |
7,818,682 | 1 | 3 | 1. A computer program product, stored on a machine-readable medium, the computer program product comprising instructions operable to cause a data processing apparatus to: display an integrated development environment, the integrated development environment including a first user interface for managing an application model and a second user interface for drafting a graphical model, wherein the application model corresponds to an application being developed, the application model comprising a plurality of development objects used in the application and relationships between the development objects, wherein the graphical model comprises a plurality of graphical objects that represent, graphically, the development objects in the application model and the relationships between the development objects, and wherein the first and second user interfaces display a design-time view of the application model corresponding to the application and the graphical model corresponding to the application model; generate, independent of the application model and in response to input from the user, one or more first graphical objects; select, in response to input from the user, a first development object from the plurality of development objects to be associated with a first graphical object of the one or more first graphical objects; and associate the first development object with the first graphical object. | 1. A computer program product, stored on a machine-readable medium, the computer program product comprising instructions operable to cause a data processing apparatus to: display an integrated development environment, the integrated development environment including a first user interface for managing an application model and a second user interface for drafting a graphical model, wherein the application model corresponds to an application being developed, the application model comprising a plurality of development objects used in the application and relationships between the development objects, wherein the graphical model comprises a plurality of graphical objects that represent, graphically, the development objects in the application model and the relationships between the development objects, and wherein the first and second user interfaces display a design-time view of the application model corresponding to the application and the graphical model corresponding to the application model; generate, independent of the application model and in response to input from the user, one or more first graphical objects; select, in response to input from the user, a first development object from the plurality of development objects to be associated with a first graphical object of the one or more first graphical objects; and associate the first development object with the first graphical object. 3. The computer program product of claim 1 , wherein the second user interface comprises a modeling editor for editing the graphical model. | 0.854906 |
9,549,085 | 1 | 3 | 1. A computer system for proactively creating an image product, comprising: a computer memory configured to store a library of specification terms for image products; and a computer processing system configured to receive a command comprising a text from a user, conduct lexical analysis of the text in the command, tokenize the command into a plurality of tokens, and match one or more of the tokens to the specification terms in the library to determine specification parameters for an image product, wherein the computer processing system is configured to automatically identify images based on the specification parameters by the computer system, and automatically create a design for the image product that incorporates at least some of the images identified based on the specification parameters. | 1. A computer system for proactively creating an image product, comprising: a computer memory configured to store a library of specification terms for image products; and a computer processing system configured to receive a command comprising a text from a user, conduct lexical analysis of the text in the command, tokenize the command into a plurality of tokens, and match one or more of the tokens to the specification terms in the library to determine specification parameters for an image product, wherein the computer processing system is configured to automatically identify images based on the specification parameters by the computer system, and automatically create a design for the image product that incorporates at least some of the images identified based on the specification parameters. 3. The computer system of claim 1 , wherein the specification terms in the library specify one or more persons, wherein one or more of the tokens are matched to the specification terms in the library that specify one or more persons, wherein the computer processing system is configured to automatically identify images that include the one or more persons in the images. | 0.571594 |
7,725,330 | 1 | 5 | 1. A method for processing medical information, comprising the steps of: obtaining a medical record of a patient, wherein the medical record comprises patient information from structured and unstructured data sources; analyzing with a computer the patient information from at least the unstructured data source in the medical record using domain-specific criteria; and automatically extracting billing information from the medical record as part of the analysis. | 1. A method for processing medical information, comprising the steps of: obtaining a medical record of a patient, wherein the medical record comprises patient information from structured and unstructured data sources; analyzing with a computer the patient information from at least the unstructured data source in the medical record using domain-specific criteria; and automatically extracting billing information from the medical record as part of the analysis. 5. The method of claim 1 , wherein extracting billing information comprises extracting all billing codes that are supported by the patient information based on all domain-specific criteria in a domain knowledge base. | 0.623693 |
7,787,205 | 8 | 9 | 8. The method of claim 1 , and further comprising: receiving data bits to be stored on the data storage device; generating redundant bits related to the data bits; and combining the redundant bits with the data bits to form a code word. | 8. The method of claim 1 , and further comprising: receiving data bits to be stored on the data storage device; generating redundant bits related to the data bits; and combining the redundant bits with the data bits to form a code word. 9. The method of claim 8 , wherein generating redundant bits includes generating a partial checksum for the data bits. | 0.63125 |
8,091,067 | 1 | 24 | 1. A method for hosting a programming environment and processing user input, the method comprising the step of: (a) receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type; (b) storing the definition of the expression type; (c) receiving, during a second session between a second user and the interaction environment, via one of a plurality of media gateways, from the second user, an expression having a semantic structure; (d) evaluating the semantic structure of the expression; (e) identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to the evaluation of the semantic structure; and (f) generating a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. | 1. A method for hosting a programming environment and processing user input, the method comprising the step of: (a) receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type; (b) storing the definition of the expression type; (c) receiving, during a second session between a second user and the interaction environment, via one of a plurality of media gateways, from the second user, an expression having a semantic structure; (d) evaluating the semantic structure of the expression; (e) identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to the evaluation of the semantic structure; and (f) generating a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. 24. The method of claim 1 , wherein step (e) further comprises identifying the expression as an implicit question. | 0.856423 |
10,140,880 | 1 | 9 | 1. A method comprising: locating a plurality of occurrences of a knowledge point in a learning material; selecting one or more candidate initial points from the plurality of occurrences of the knowledge point; setting a first candidate initial point of the one or more candidate initial points as a first initial point; creating a first window in the learning material that includes the first initial point, wherein the first window includes a first-window size that corresponds to one or more basic units; creating a second window in the learning material, wherein a start of the second window follows a start of the first window by a first separation size, and wherein the second window includes a second-window size that corresponds to the one or more basic units; calculating a window similarity between first-window content of the first window and second-window content of the second window; in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold, generating a first segment with first-segment content that includes at least the first-window content and the second-window content; detecting a position for a first segment border of the first segment that indicates an end of the first segment in which the detecting includes: sliding the first window and the second window through the learning material by a step size to create a first new window and a second new window such that the second-window content of the second window is the same as first new-window content of the first new window; and determining whether a new-window similarity between the first new-window content and second new-window content meet the similarity threshold; calculating a first-segment consistency measurement for the first segment based on a first-segment similarity between the first-segment content in the first segment and the knowledge point; ranking, according to one or more computer-executable expressions, the first segment with respect to one or more of the following: a second segment in the learning material and a third segment in a different learning material, wherein the ranking of the first segment is based on one or more of the following: a quality measurement, a learning material type of the learning material, a length of the first segment, and the first-segment consistency measurement of the first segment; and recommending the first segment to a learner based on the ranking of the first segment. | 1. A method comprising: locating a plurality of occurrences of a knowledge point in a learning material; selecting one or more candidate initial points from the plurality of occurrences of the knowledge point; setting a first candidate initial point of the one or more candidate initial points as a first initial point; creating a first window in the learning material that includes the first initial point, wherein the first window includes a first-window size that corresponds to one or more basic units; creating a second window in the learning material, wherein a start of the second window follows a start of the first window by a first separation size, and wherein the second window includes a second-window size that corresponds to the one or more basic units; calculating a window similarity between first-window content of the first window and second-window content of the second window; in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold, generating a first segment with first-segment content that includes at least the first-window content and the second-window content; detecting a position for a first segment border of the first segment that indicates an end of the first segment in which the detecting includes: sliding the first window and the second window through the learning material by a step size to create a first new window and a second new window such that the second-window content of the second window is the same as first new-window content of the first new window; and determining whether a new-window similarity between the first new-window content and second new-window content meet the similarity threshold; calculating a first-segment consistency measurement for the first segment based on a first-segment similarity between the first-segment content in the first segment and the knowledge point; ranking, according to one or more computer-executable expressions, the first segment with respect to one or more of the following: a second segment in the learning material and a third segment in a different learning material, wherein the ranking of the first segment is based on one or more of the following: a quality measurement, a learning material type of the learning material, a length of the first segment, and the first-segment consistency measurement of the first segment; and recommending the first segment to a learner based on the ranking of the first segment. 9. The method of claim 1 , wherein the first segment matches a learner preference that includes one or more of the following: a learning material type, a window size, a learning-specific feature, a learning material age, a segment age, and a segment length. | 0.903383 |
8,584,045 | 13 | 15 | 13. An information system, comprising: a computing device having an interface for providing a notification that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed and receiving a first user input, the first user input corresponding to at least one of an initial data object and an initial set of data objects; a processor that is operable to: determine, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository, filter the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; group the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects, and receive a second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and a display of the interface for: presenting a first graphical user interface including multiple path graphical elements presenting respective paths of semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; and presenting, in response to receiving the second user input, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. | 13. An information system, comprising: a computing device having an interface for providing a notification that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed and receiving a first user input, the first user input corresponding to at least one of an initial data object and an initial set of data objects; a processor that is operable to: determine, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository, filter the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; group the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects, and receive a second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and a display of the interface for: presenting a first graphical user interface including multiple path graphical elements presenting respective paths of semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; and presenting, in response to receiving the second user input, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. 15. The system of claim 13 , wherein the display presents graphical elements corresponding to the set of data objects semantically related to the initial data object. | 0.734824 |
7,925,610 | 13 | 23 | 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. 23. The computer-readable medium of claim 13 , further operable to cause processors to perform operations comprising: determining a meaning for each document in the document-based information using the computer-readable data collection; receiving related data for the document-based information; calculating a weight for each document in the document-based information from the related data; and determining the one or more document term meanings by combining the determined meanings for each document in the document-based information, where the determined meaning for each document is weighted by the calculated weight for the document. | 0.5 |
9,727,594 | 10 | 14 | 10. A computer-implemented process to access data, comprising: storing in memory of a computing device an adaptive range filter that contains a compact summary, in a trie format, of the contents of an index for a set of data, wherein: each node of the trie format represents a particular region of a domain of the data, a root node represents the whole domain of data to be indexed, each parent node fully contains the regions of its children in the trie-format, and leaves of the trie-format contain occupied bits indicating whether tuples in the set of data exist in the particular region of data; receiving a query; checking the adaptive range filter to determine if the index may contain records satisfying a predicate of the query, if the adaptive range filter indicates that the index contains no records satisfying the query predicate, not accessing the index or the set of data; and if the adaptive range filter indicates that the index contains records satisfying the query predicate, accessing the index and the set of data to retrieve data satisfying the query predicate. | 10. A computer-implemented process to access data, comprising: storing in memory of a computing device an adaptive range filter that contains a compact summary, in a trie format, of the contents of an index for a set of data, wherein: each node of the trie format represents a particular region of a domain of the data, a root node represents the whole domain of data to be indexed, each parent node fully contains the regions of its children in the trie-format, and leaves of the trie-format contain occupied bits indicating whether tuples in the set of data exist in the particular region of data; receiving a query; checking the adaptive range filter to determine if the index may contain records satisfying a predicate of the query, if the adaptive range filter indicates that the index contains no records satisfying the query predicate, not accessing the index or the set of data; and if the adaptive range filter indicates that the index contains records satisfying the query predicate, accessing the index and the set of data to retrieve data satisfying the query predicate. 14. The computer-implemented process of claim 10 wherein the adaptive range filter seeks to minimize the number of false positives returned in response to a query. | 0.825855 |
5,500,931 | 16 | 19 | 16. The method as recited in claim 11, wherein step (a) comprises the step of: (a1) examining the plurality of characters to detect special characters including spaces and punctuation characters. | 16. The method as recited in claim 11, wherein step (a) comprises the step of: (a1) examining the plurality of characters to detect special characters including spaces and punctuation characters. 19. The method as recited in claim 16, including the step of storing character codes associated with special characters. | 0.52381 |
9,082,207 | 14 | 19 | 14. A package design rendering system, comprising: a first memory portion containing semantic structural design data; a second memory portion containing a graphical design style sheet for a plurality of facets for a three-dimensional package, wherein the style sheet comprises a plurality of rules for graphical content to be applied to the structure, and wherein each rule comprises a selector that identifies a facet of the structure and a declaration; a graphical design layout renderer comprising a set of programming instructions that, when executed by a processor, cause the processor to: create the graphical design style sheet by: selecting a facet to be specified in the selector, selecting, for the selector, one or more attributes of the graphical content that will be affected by the rule's declaration, and including, in the declaration, a property and a value that sets forth an effect that the rule will have on the selected facet, and apply one or more of the rules from the graphical design style sheet to the semantic structural design data to generate a graphical design template for the three-dimensional package; an asset linker comprising a set of programming instructions that, when executed by the processor, cause the processor to use one or more of the rules from the graphical design style sheet to automatically link one or more graphical assets with the graphical design template to create a graphical design for the package. | 14. A package design rendering system, comprising: a first memory portion containing semantic structural design data; a second memory portion containing a graphical design style sheet for a plurality of facets for a three-dimensional package, wherein the style sheet comprises a plurality of rules for graphical content to be applied to the structure, and wherein each rule comprises a selector that identifies a facet of the structure and a declaration; a graphical design layout renderer comprising a set of programming instructions that, when executed by a processor, cause the processor to: create the graphical design style sheet by: selecting a facet to be specified in the selector, selecting, for the selector, one or more attributes of the graphical content that will be affected by the rule's declaration, and including, in the declaration, a property and a value that sets forth an effect that the rule will have on the selected facet, and apply one or more of the rules from the graphical design style sheet to the semantic structural design data to generate a graphical design template for the three-dimensional package; an asset linker comprising a set of programming instructions that, when executed by the processor, cause the processor to use one or more of the rules from the graphical design style sheet to automatically link one or more graphical assets with the graphical design template to create a graphical design for the package. 19. The system of claim 14 , wherein: the graphical design layout renderer also comprises program instructions that, when executed by the processor, cause the processor to instruct the asset linker to determine whether the graphical content will span a plurality of facets, and if so, the asset linker also comprises program instructions that when executed by the processor, cause the processor to: group the first facet and a second facet to form a facet group; and link the graphical content to the facet group so that when the three dimensional structure is printed, a first portion of the content appears on the first facet, and a second portion of the content appears on the second facet. | 0.5 |
9,268,765 | 29 | 33 | 29. The method of claim 24 , further comprising: transmitting, from the first computer system, a meaningful second text sequence; wherein the communication is responsive to the result of the automated neurolinguistic analysis of the cognitive motivation orientations that are expressed within the first text sequence and to a result of automated neurolinguistic analysis of additional cognitive motivation orientations, the additional cognitive motivation orientations being expressed within the second text sequence. | 29. The method of claim 24 , further comprising: transmitting, from the first computer system, a meaningful second text sequence; wherein the communication is responsive to the result of the automated neurolinguistic analysis of the cognitive motivation orientations that are expressed within the first text sequence and to a result of automated neurolinguistic analysis of additional cognitive motivation orientations, the additional cognitive motivation orientations being expressed within the second text sequence. 33. The method of claim 29 , wherein the first text sequence is an e-mail message and the second text sequence is an unsent e-mail response to the first text sequence. | 0.895494 |
7,546,233 | 1 | 3 | 1. A succession Chinese character input method comprising the steps of: (a) inputting a Chinese character, and (b) fetching succession Chinese characters relative to the inputted Chinese character from a database of vocabulary of common succession Chinese characters and/or a database of vocabulary of self-edited succession Chinese characters, (c) and/or displaying fetched succession Chinese characters on a display screen, (d) selecting the desired succession Chinese character from the display screen for input; said database of vocabulary of common succession Chinese characters is prepared by collecting common succession Chinese characters subject to the characteristic that there is a successive relationship between every two concatenate Chinese characters in a Chinese sentence; and said database of vocabulary of self-edited succession Chinese characters is prepared by collecting the inputted succession Chinese character which is automatically stored in the database of vocabulary of self-edited succession Chinese characters for further selection when no succession Chinese character was obtained from the database of vocabulary of common succession Chinese characters after input of one Chinese character. | 1. A succession Chinese character input method comprising the steps of: (a) inputting a Chinese character, and (b) fetching succession Chinese characters relative to the inputted Chinese character from a database of vocabulary of common succession Chinese characters and/or a database of vocabulary of self-edited succession Chinese characters, (c) and/or displaying fetched succession Chinese characters on a display screen, (d) selecting the desired succession Chinese character from the display screen for input; said database of vocabulary of common succession Chinese characters is prepared by collecting common succession Chinese characters subject to the characteristic that there is a successive relationship between every two concatenate Chinese characters in a Chinese sentence; and said database of vocabulary of self-edited succession Chinese characters is prepared by collecting the inputted succession Chinese character which is automatically stored in the database of vocabulary of self-edited succession Chinese characters for further selection when no succession Chinese character was obtained from the database of vocabulary of common succession Chinese characters after input of one Chinese character. 3. The succession Chinese character input method as claimed in claim 1 , wherein said step (d) of selecting the desired succession Chinese character from the display screen for input is by means of keyboard instrument, or pointing devices such as mouse, or any of a variety of other selection methods to select the desired succession Chinese character from the display screen for input. | 0.81097 |
9,372,891 | 16 | 18 | 16. A non-transitory machine-readable medium comprising a first plurality of machine-readable instructions which when executed by one or more processors associated with an application server are adapted to cause the one or more processors to perform a method comprising: receiving a data query at a hybrid multi data source running on the application server; creating a list of data sources coupled to the hybrid multi data source, each data source in the list of data sources having a data source type selected from a group consisting of a relational data base, a nosql database, a flat file, an XML file, a representational state transfer (REST) web service, and a Simple Object Access Protocol (SOAP) web service; removing data sources from the list of data sources based on the data source type of each of the data sources in the list of data sources and data source type hints included in the data query; removing data sources from the list of data sources based on the data source type of each of the data sources in the list of data sources and data source rules identifying preferred data source types based on features of the data query; forming one or more query plans for processing the data query, each query plan corresponding to a data source in the list of data sources after the removings; evaluating each of the query plans to determine a respective estimated query complexity for each of the query plans; selecting a query plan from the query plans based on each respective estimated query complexity; and performing the selected query plan. | 16. A non-transitory machine-readable medium comprising a first plurality of machine-readable instructions which when executed by one or more processors associated with an application server are adapted to cause the one or more processors to perform a method comprising: receiving a data query at a hybrid multi data source running on the application server; creating a list of data sources coupled to the hybrid multi data source, each data source in the list of data sources having a data source type selected from a group consisting of a relational data base, a nosql database, a flat file, an XML file, a representational state transfer (REST) web service, and a Simple Object Access Protocol (SOAP) web service; removing data sources from the list of data sources based on the data source type of each of the data sources in the list of data sources and data source type hints included in the data query; removing data sources from the list of data sources based on the data source type of each of the data sources in the list of data sources and data source rules identifying preferred data source types based on features of the data query; forming one or more query plans for processing the data query, each query plan corresponding to a data source in the list of data sources after the removings; evaluating each of the query plans to determine a respective estimated query complexity for each of the query plans; selecting a query plan from the query plans based on each respective estimated query complexity; and performing the selected query plan. 18. The non-transitory machine-readable medium of claim 16 , further comprising a second plurality of machine-readable instructions which when executed by the one or more processors are adapted to cause the one or more processors to perform a method comprising: selecting the query plan from the query plans based on probabilities associated with estimated query complexities of the query plans. | 0.5 |
5,475,738 | 21 | 22 | 21. A messaging system interface node for use in communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including the messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the messaging system interface node comprising: means for receiving the text message from the text messaging system based on an address of the messaging system interface node; means for generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; means for generating the voice message responsive to the text message; and means for transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number to the voice messaging system. | 21. A messaging system interface node for use in communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including the messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the messaging system interface node comprising: means for receiving the text message from the text messaging system based on an address of the messaging system interface node; means for generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; means for generating the voice message responsive to the text message; and means for transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number to the voice messaging system. 22. The messaging system interface node according to claim 21 wherein the means for generating a voice message comprises means for performing text-to-speech conversion on the text message to produce the voice message. | 0.5 |
7,594,166 | 28 | 36 | 28. A computer system including at least one processor for rendering page images on a display, comprising: an external component encapsulating code for modifying a behavior of one or more elements, the external component operable to be instantiated multiple times and operable to modify elements in a plurality of different HTML documents while being external to the HTML documents and wherein information associating the one or more elements with the external component is maintained in a cascading style sheet, wherein code for determining a behavior of the one or more elements is included in one or more extensible markup language (XML) namespaces that are defined externally to the HTML documents and that are associated with the external component; and at least one processing unit comprising a renderer connected to the display for rendering the page images, the renderer being configured to: modify one or more of the page images by accessing one or more of the XML namespaces associated with the external component to initiate drawing of information on the one or more of the page images based at least in part on code included in the one or more XML namespaces; make a plurality of calls to the one or more XML namespaces to initiate the drawing of the information on the one or more of the page images; and draw the information on the one or more of the page image responsive to one or more of the plurality of calls to the one or more XML namespaces; the renderer being further configured to: instantiate the external component to reveal one or more of the XML namespaces associated with the external component the one or more of the XML namespaces being external to the HTML document and specifying one or more behaviors to be applied to the one or more elements; and access the one or more XML namespaces to retrieve a new behavior to be applied to the representation of the one or more elements rendered on the page image, the new behavior being configured to enhance a default behavior for the one or more elements. | 28. A computer system including at least one processor for rendering page images on a display, comprising: an external component encapsulating code for modifying a behavior of one or more elements, the external component operable to be instantiated multiple times and operable to modify elements in a plurality of different HTML documents while being external to the HTML documents and wherein information associating the one or more elements with the external component is maintained in a cascading style sheet, wherein code for determining a behavior of the one or more elements is included in one or more extensible markup language (XML) namespaces that are defined externally to the HTML documents and that are associated with the external component; and at least one processing unit comprising a renderer connected to the display for rendering the page images, the renderer being configured to: modify one or more of the page images by accessing one or more of the XML namespaces associated with the external component to initiate drawing of information on the one or more of the page images based at least in part on code included in the one or more XML namespaces; make a plurality of calls to the one or more XML namespaces to initiate the drawing of the information on the one or more of the page images; and draw the information on the one or more of the page image responsive to one or more of the plurality of calls to the one or more XML namespaces; the renderer being further configured to: instantiate the external component to reveal one or more of the XML namespaces associated with the external component the one or more of the XML namespaces being external to the HTML document and specifying one or more behaviors to be applied to the one or more elements; and access the one or more XML namespaces to retrieve a new behavior to be applied to the representation of the one or more elements rendered on the page image, the new behavior being configured to enhance a default behavior for the one or more elements. 36. The system of claim 28 wherein the renderer is configured to receive a new HTML document having another element thereon that references the external component. | 0.744514 |
7,644,371 | 13 | 16 | 13. The system of claim 1 , further comprising an interface manager programmed to enable the user to modify or remove assignable metadata for at least one selected data item in the information/command space. | 13. The system of claim 1 , further comprising an interface manager programmed to enable the user to modify or remove assignable metadata for at least one selected data item in the information/command space. 16. The graphical user interface of claim 13 , further comprising an analysis component programmed to monitor changes relating to the assignable metadata and to adjust metadata for the taxonomy and the visualization of at least one of the dimensions that represent the taxonomy in response to a plurality of similar changes being made relating to the assignable metadata. | 0.5 |
9,565,521 | 21 | 25 | 21. A non-transitory processor-readable medium that includes a program that when executed by a processor performs a method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. | 21. A non-transitory processor-readable medium that includes a program that when executed by a processor performs a method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. 25. The non-transitory processor-readable medium of claim 21 , further comprising: differentiating between two places with a same temporal occupancy pattern based on at least one of the activity and device identification information for the electronic device. | 0.657407 |
9,576,473 | 43 | 44 | 43. The system of claim 33 wherein the client device: to access a pairing server when processing the identification data associated with the sandbox reachable service sharing the public address with the client device, wherein the pairing server performs a discovery lookup of any device that have announced that they share the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to the establishment of the communication session between the sandboxed application and the sandbox reachable service. | 43. The system of claim 33 wherein the client device: to access a pairing server when processing the identification data associated with the sandbox reachable service sharing the public address with the client device, wherein the pairing server performs a discovery lookup of any device that have announced that they share the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to the establishment of the communication session between the sandboxed application and the sandbox reachable service. 44. The system of claim 43 wherein the networked device to at least one of: announce a sandbox reachable service of the networked device to a discovery module using a processor and memory, announce an availability of the sandbox reachable service across a range of public addresses such that the sandboxed application communicates with the sandbox reachable service in any one of the range of the public addresses, communicate at least one of a global unique identifier and an alphanumeric name to the pairing server along with at least one of a hardware address associated with the networked device, a public address pair associated with a sandbox reachable service of the networked device, and a private address pair associated with the sandbox reachable service of the networked device, and wherein the private address pair includes a private IP address and a port number associated with the sandbox reachable service. | 0.5 |
9,075,803 | 1 | 3 | 1. A method of accessing documents, the method comprising: receiving a selection from a user that content to be printed is to printed on an erasable paper document; saving the content in a database for a fixed time period based on the receiving the selection; obtaining a machine readable code printed on a substrate of the erasable paper document, wherein the machine readable code uniquely identifies content to be rendered on the erasable paper document; determining that content that was previously rendered as transient content on the erasable paper document has faded; obtaining, on a server, an electronic version of the content based on the machine readable code based on the determining and additional value-added information to be rendered on the erasable paper document; causing, by the server, the electronic version to be displayed on a display that is viewable by the user, wherein the electronic version comprises information indicative of how a previous version of the erasable paper document was imaged; receiving a determination that the electronic version is approved for printing from the user; rendering the content and the additional value-added information based on the determination that was received that was obtained on the server as transient content on the erasable paper document; rendering a dynamic code on the erasable paper document, wherein the dynamic code comprises an indication of a storage location of the electronic version of the erasable paper document in the database, wherein the dynamic code comprises a code rendered in invisible ink that becomes readable when exposed to ultraviolet light; and deleting the electronic version of the content from the storage location after a predetermined amount of time. | 1. A method of accessing documents, the method comprising: receiving a selection from a user that content to be printed is to printed on an erasable paper document; saving the content in a database for a fixed time period based on the receiving the selection; obtaining a machine readable code printed on a substrate of the erasable paper document, wherein the machine readable code uniquely identifies content to be rendered on the erasable paper document; determining that content that was previously rendered as transient content on the erasable paper document has faded; obtaining, on a server, an electronic version of the content based on the machine readable code based on the determining and additional value-added information to be rendered on the erasable paper document; causing, by the server, the electronic version to be displayed on a display that is viewable by the user, wherein the electronic version comprises information indicative of how a previous version of the erasable paper document was imaged; receiving a determination that the electronic version is approved for printing from the user; rendering the content and the additional value-added information based on the determination that was received that was obtained on the server as transient content on the erasable paper document; rendering a dynamic code on the erasable paper document, wherein the dynamic code comprises an indication of a storage location of the electronic version of the erasable paper document in the database, wherein the dynamic code comprises a code rendered in invisible ink that becomes readable when exposed to ultraviolet light; and deleting the electronic version of the content from the storage location after a predetermined amount of time. 3. The method of claim 1 , further comprising: printing the machine readable code with ink on the substrate using a method selected from the group consisting of CMYK color model and invisible ink to uniquely identify the substrate; and the rendering of the content as transient content comprises imaging the transient content within a photochromic material. | 0.5 |
9,773,497 | 1 | 4 | 1. A method comprising: receiving, by a system comprising a processor, speech data; detecting, by the system, a missing segment in the speech data resulting from an interruption occurring in a communication network conveying the speech data; generating, by the system, a plurality of hypothetical segments for the missing segment; determining, by the system, a duration of the missing segment; evaluating, by the system and according to a duration model which is based on a mean and a variance of duration for individual context-dependent phoneme acoustic models associated with the plurality of hypothetical segments, the plurality of hypothetical segments according to a context of speech determined from the speech data and the duration of the missing segment to identify a possible segment that represents the missing segment of the speech data to yield an identified segment; and inserting the identified segment into the speech data to replace the missing segment. | 1. A method comprising: receiving, by a system comprising a processor, speech data; detecting, by the system, a missing segment in the speech data resulting from an interruption occurring in a communication network conveying the speech data; generating, by the system, a plurality of hypothetical segments for the missing segment; determining, by the system, a duration of the missing segment; evaluating, by the system and according to a duration model which is based on a mean and a variance of duration for individual context-dependent phoneme acoustic models associated with the plurality of hypothetical segments, the plurality of hypothetical segments according to a context of speech determined from the speech data and the duration of the missing segment to identify a possible segment that represents the missing segment of the speech data to yield an identified segment; and inserting the identified segment into the speech data to replace the missing segment. 4. The method of claim 1 , wherein the evaluating of the plurality of hypothetical segments is further based on a lexicon. | 0.708134 |
9,336,497 | 13 | 14 | 13. A computer program product comprising program code stored on a non-transitory computer-readable medium, which when executed by at least one computing device, enables the at least one computing device to implement a method of updating an expert corpus set by performing actions including: obtaining a query from a first user; obtaining a first raw data source; determining a first relevance score for the first raw data source with respect to the query, by performing actions including: creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables of the first vector having category types including at least one of lexical answer type, sentence focus frequencies or entity type; creating a second vector of statistical variables for the first raw data source, the statistical variables for the first raw data source having category types that are the same as the category types of the statistical variables for the query; generating a hypothesis regarding the relevance of the first raw data source with respect to the query; testing the hypothesis by comparing each statistical variable for the query to each same statistical variable for the first raw data source; and calculating a gradient between the first vector and the second vector to determine the first relevance score; updating the expert corpus set by ingesting the first raw data source into the expert corpus in response to determining the first relevance score exceeding a first thresholds; accessing the updated expert corpus; determining at least one candidate answer to the query using an NLP algorithm; calculating a veracity score for each of the at least one candidate answers based on the NLP algorithm; and responding to the first user with at least one first candidate answer based on the veracity score. | 13. A computer program product comprising program code stored on a non-transitory computer-readable medium, which when executed by at least one computing device, enables the at least one computing device to implement a method of updating an expert corpus set by performing actions including: obtaining a query from a first user; obtaining a first raw data source; determining a first relevance score for the first raw data source with respect to the query, by performing actions including: creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables of the first vector having category types including at least one of lexical answer type, sentence focus frequencies or entity type; creating a second vector of statistical variables for the first raw data source, the statistical variables for the first raw data source having category types that are the same as the category types of the statistical variables for the query; generating a hypothesis regarding the relevance of the first raw data source with respect to the query; testing the hypothesis by comparing each statistical variable for the query to each same statistical variable for the first raw data source; and calculating a gradient between the first vector and the second vector to determine the first relevance score; updating the expert corpus set by ingesting the first raw data source into the expert corpus in response to determining the first relevance score exceeding a first thresholds; accessing the updated expert corpus; determining at least one candidate answer to the query using an NLP algorithm; calculating a veracity score for each of the at least one candidate answers based on the NLP algorithm; and responding to the first user with at least one first candidate answer based on the veracity score. 14. The computer program product of claim 13 , further comprising: associating the query with the first user; storing the query; recalculating the veracity score for each of the at least one candidate answers in response to the expert corpus being updated; assigning a second veracity score to at least one second candidate answer in response to determining that the at least one second candidate answer is not included in the at least one first candidate answer; and responding to the first user with an updated answer based on the respective second veracity score. | 0.754766 |
8,903,924 | 15 | 16 | 15. A computer system, comprising: a processor; a memory; and a program comprising a plurality of instructions stored in the memory that are executed by the processor to: detect receipt of text-based electronic communications; identify first data of interest with a predetermined characteristic in the text-based electronic communications; extract, from a plurality of text-based electronic communications, a plurality of instances of the identified first data of interest from the text-based electronic communications, at least two of the text-based electronic communications sent to different intended recipients, wherein each text-based electronic communication includes first data of interest with a common predetermined characteristic, and wherein each text-based electronic communication includes first data or interest differing from first data of interest of other text-based electronic communications, the computer system associated with sending the one or more text-based electronic communications; obtain, for each identified first data of interest, a first set of associated data that is associated with the extracted first data of interest, each initial first set of associated data from at least one electronic resource; and display, independent of the text-based electronic communications and the at least one electronic resource, a plurality of instances of the extracted first data of interest, each instance of the extracted first data of interest displayed with the corresponding first set of associated data. | 15. A computer system, comprising: a processor; a memory; and a program comprising a plurality of instructions stored in the memory that are executed by the processor to: detect receipt of text-based electronic communications; identify first data of interest with a predetermined characteristic in the text-based electronic communications; extract, from a plurality of text-based electronic communications, a plurality of instances of the identified first data of interest from the text-based electronic communications, at least two of the text-based electronic communications sent to different intended recipients, wherein each text-based electronic communication includes first data of interest with a common predetermined characteristic, and wherein each text-based electronic communication includes first data or interest differing from first data of interest of other text-based electronic communications, the computer system associated with sending the one or more text-based electronic communications; obtain, for each identified first data of interest, a first set of associated data that is associated with the extracted first data of interest, each initial first set of associated data from at least one electronic resource; and display, independent of the text-based electronic communications and the at least one electronic resource, a plurality of instances of the extracted first data of interest, each instance of the extracted first data of interest displayed with the corresponding first set of associated data. 16. The computer system of claim 15 , wherein the plurality of instructions further comprises instructions that are executed by the processor to obtain, from at least one electronic resource, a first set of associated data that is associated with the extracted first data of interest, second data of interest comprises the common predetermined characteristic, and a second set of associated data that is associated with the second data of interest, and to display, independent of the text-based electronic communications and the at least one electronic resource, the extracted first data of interest, the obtained first set of associated data, the obtained second data of interest, and the obtained second set of associated data. | 0.63477 |
8,359,323 | 7 | 11 | 7. A method comprising: receiving a database language request from a database driver that is compatible with a software application, wherein the database language request is in a database language format, and wherein the database driver processes standard database calls; parsing the database language request; converting the database language request into an intermediary data format, wherein the intermediary data format comprises a data object identifying an operation and data, wherein the data includes at least one field with an associated value; and providing the database language request in the intermediary data format to a common client interface builder that reformats the database language request into a format that is compatible with a system resource adapter, invokes the system resource adapter with the reformatted request, receives the data object that has been modified from the system resource adapter, and maps the received data object to a result set. | 7. A method comprising: receiving a database language request from a database driver that is compatible with a software application, wherein the database language request is in a database language format, and wherein the database driver processes standard database calls; parsing the database language request; converting the database language request into an intermediary data format, wherein the intermediary data format comprises a data object identifying an operation and data, wherein the data includes at least one field with an associated value; and providing the database language request in the intermediary data format to a common client interface builder that reformats the database language request into a format that is compatible with a system resource adapter, invokes the system resource adapter with the reformatted request, receives the data object that has been modified from the system resource adapter, and maps the received data object to a result set. 11. The method of claim 7 , wherein the format that is compatible with the system resource adapter is incompatible with the software application. | 0.5 |
7,640,240 | 7 | 9 | 7. A method of claim 1 , wherein receiving a portion of content comprises: selecting content contained in an electronic document as the portion of content. | 7. A method of claim 1 , wherein receiving a portion of content comprises: selecting content contained in an electronic document as the portion of content. 9. The method of claim 7 , where associating the selected content with contextually relevant information includes: parsing the selected content; identifying one or more elements from the parsed content; comparing the one or more identified elements with a predetermined number of keywords; and associating the selected content with contextually relevant information if at least one element matches a keyword. | 0.5 |
10,025,817 | 3 | 4 | 3. The method of claim 1 , wherein stages are sequential and are selected from the group comprising a data preparation stage in which data is prepared, a visualization stage in which data is presented in a visualization to the first user, a synthesis stage in which a business story is created from one or more visualizations, and a sharing stage in which business information associated with previous stages is shared. | 3. The method of claim 1 , wherein stages are sequential and are selected from the group comprising a data preparation stage in which data is prepared, a visualization stage in which data is presented in a visualization to the first user, a synthesis stage in which a business story is created from one or more visualizations, and a sharing stage in which business information associated with previous stages is shared. 4. The method of claim 3 , wherein user actions in the data preparation stage include actions selected from a group comprising: selecting a dataset, selecting a column in the data set, selecting a custom range in the data set, filtering the data set, sorting the data set, converting the data set, renaming the data set, create a measure or dimension for the data set, creating a hierarchy for the data set, duplicating data in the data set, and grouping data by range in the dataset. | 0.5 |
6,157,905 | 24 | 25 | 24. For a series of data values representing text in an unknown distinguished Latin-based language in accordance with one of a plurality of character sets for Latin-based languages, each character set associating character glyphs with particular data values, a method in a computer system for identifying the distinguished language, the method comprising the steps of: for each distinct data value in the series, using a single common data value: if the distinct data value does not represent the same character glyph in each of the plurality of character sets, transforming occurrences of the distinct data value in the series into the single common data value, such that, after the transforming step, data values that represent the same character glyphs in each of the plurality of character sets are still differentiated but data values that do not represent the same character glyphs in each of the plurality of character sets are no longer differentiated; after transforming step, counting in the series of data values the number of occurrences of each distinct subseries of the series having a predetermined length; and identifying the distinguished language based upon the counts of distinct subseries of the series. | 24. For a series of data values representing text in an unknown distinguished Latin-based language in accordance with one of a plurality of character sets for Latin-based languages, each character set associating character glyphs with particular data values, a method in a computer system for identifying the distinguished language, the method comprising the steps of: for each distinct data value in the series, using a single common data value: if the distinct data value does not represent the same character glyph in each of the plurality of character sets, transforming occurrences of the distinct data value in the series into the single common data value, such that, after the transforming step, data values that represent the same character glyphs in each of the plurality of character sets are still differentiated but data values that do not represent the same character glyphs in each of the plurality of character sets are no longer differentiated; after transforming step, counting in the series of data values the number of occurrences of each distinct subseries of the series having a predetermined length; and identifying the distinguished language based upon the counts of distinct subseries of the series. 25. The method of claim 24 wherein the counting step counts the number of occurrences of each distinct subseries of the series having a length of three data values. | 0.5 |
8,121,904 | 1 | 18 | 1. A computer system for facilitating sales of a product to a user, the computer system comprising: a user interface configured to query the user regarding product interests of the user; a selection device operatively connected to the user interface, and configured to present a customized proposal to the user based on the user's product interests; an active database operatively connected to the selection device, and configured to store the user's product interests; a report database operatively connected to the selection device, and configured to store a plurality of page layouts; a static database operatively connected to the selection device, and configured to store product information; a difference database operatively connected to the static database, wherein the difference database stores update information configured for transmittal to the static database; and a report generator operatively connected to the active database, the report database, the selection device, and the static database, and configured to link page layout identifiers with particular data that appear in the customized proposal, wherein the customized proposal includes at least one item based upon the user's product interests, and wherein the at least one item includes at least one of: a product picture, an environment picture, and a text portion. | 1. A computer system for facilitating sales of a product to a user, the computer system comprising: a user interface configured to query the user regarding product interests of the user; a selection device operatively connected to the user interface, and configured to present a customized proposal to the user based on the user's product interests; an active database operatively connected to the selection device, and configured to store the user's product interests; a report database operatively connected to the selection device, and configured to store a plurality of page layouts; a static database operatively connected to the selection device, and configured to store product information; a difference database operatively connected to the static database, wherein the difference database stores update information configured for transmittal to the static database; and a report generator operatively connected to the active database, the report database, the selection device, and the static database, and configured to link page layout identifiers with particular data that appear in the customized proposal, wherein the customized proposal includes at least one item based upon the user's product interests, and wherein the at least one item includes at least one of: a product picture, an environment picture, and a text portion. 18. The computer system of claim 1 , wherein at least one of the page layouts of the report database is configured to display a product picture of a product selected by the user, an environment picture of an environment selected by the user, and a text portion, and wherein the text portion is associated with at least one of the product and the environment. | 0.701169 |
8,775,407 | 1 | 11 | 1. A computer-implemented method for identifying information entered by a user of a handheld electronic device, the method comprising: indexing a dataset by computing a collection of numeric index values for alphanumeric entries in the dataset using a conversion procedure to represent the alphanumeric entries in the dataset with the numeric index values and indexing the alphanumeric entries with the numeric index values; receiving input over a user input device of the handheld electronic device; calculating, by the handheld electronic device, a query index value using the conversion procedure to represent the received input with the query index value; comparing, by the handheld electronic device, the query index value to the numeric index values indexing the dataset and identifying matches therebetween; and displaying, on a display screen of the handheld electronic device, information from the alphanumeric entries in the dataset indexed by an index value matching the query index value representing the received input. | 1. A computer-implemented method for identifying information entered by a user of a handheld electronic device, the method comprising: indexing a dataset by computing a collection of numeric index values for alphanumeric entries in the dataset using a conversion procedure to represent the alphanumeric entries in the dataset with the numeric index values and indexing the alphanumeric entries with the numeric index values; receiving input over a user input device of the handheld electronic device; calculating, by the handheld electronic device, a query index value using the conversion procedure to represent the received input with the query index value; comparing, by the handheld electronic device, the query index value to the numeric index values indexing the dataset and identifying matches therebetween; and displaying, on a display screen of the handheld electronic device, information from the alphanumeric entries in the dataset indexed by an index value matching the query index value representing the received input. 11. The method of claim 1 , wherein displaying the information from the alphanumeric entries comprises displaying a visual marking indicating the sequence of characters from the alphanumeric entries that are represented by the numeric index value that matches the query index value. | 0.698073 |
8,103,506 | 1 | 5 | 1. A non-transitory computer-readable medium comprising computer-readable instructions for correlating a free text expression of an identity to at least one known identity having a plurality of expressions in a database, said computer-readable instructions comprising instructions that: allow an input of a plurality of expressions associated with an input identity; electronically convert the plurality of expressions to phonetic equivalent codes; compare the phonetic equivalent codes to determine correlations between the codes; correlate at least one of the plurality of expressions with the known identity based on the phonetic equivalent code associated with the at least one expression having a threshold correlation to a phonetic equivalent code associated with the known identity; electronically provide the known identity using the at least one expression having a threshold correlation to a phonetic equivalent code associated with the known identity; allow an input of a verification that the electronically-provided known identity matches a desired identity intended at a time of the input of the plurality of expressions associated with the input identity; and eliminate from the database another of the plurality of expressions having a threshold correlation to the phonetic equivalent code for the known identity. | 1. A non-transitory computer-readable medium comprising computer-readable instructions for correlating a free text expression of an identity to at least one known identity having a plurality of expressions in a database, said computer-readable instructions comprising instructions that: allow an input of a plurality of expressions associated with an input identity; electronically convert the plurality of expressions to phonetic equivalent codes; compare the phonetic equivalent codes to determine correlations between the codes; correlate at least one of the plurality of expressions with the known identity based on the phonetic equivalent code associated with the at least one expression having a threshold correlation to a phonetic equivalent code associated with the known identity; electronically provide the known identity using the at least one expression having a threshold correlation to a phonetic equivalent code associated with the known identity; allow an input of a verification that the electronically-provided known identity matches a desired identity intended at a time of the input of the plurality of expressions associated with the input identity; and eliminate from the database another of the plurality of expressions having a threshold correlation to the phonetic equivalent code for the known identity. 5. The non-transitory computer-readable medium of claim 1 , wherein the instructions that allow the input of the plurality of expressions comprises instructions that allow a user to enter the expressions in a free text data field. | 0.777992 |
4,151,659 | 15 | 16 | 15. A machine for teaching students to read comprising: visual display means for receiving encoded letter combinations to provide visual images thereof as transmitted thereto, storage means having a plurality of memory locations in which sets of letter combinations are separately stored in electronically encoded form, logic processing means to address said memory locations one at a time and to provide to said visual display means encoded letter combinations as said letter combinations are received from said addressed memory locations, word selection means connected to said storage means to randomly select from among the addresses of letter combinations addressed and to sequentially extract letter combinations therefrom and transfer said extracted letter combinations at said selected addresses to said logic processing means for display. | 15. A machine for teaching students to read comprising: visual display means for receiving encoded letter combinations to provide visual images thereof as transmitted thereto, storage means having a plurality of memory locations in which sets of letter combinations are separately stored in electronically encoded form, logic processing means to address said memory locations one at a time and to provide to said visual display means encoded letter combinations as said letter combinations are received from said addressed memory locations, word selection means connected to said storage means to randomly select from among the addresses of letter combinations addressed and to sequentially extract letter combinations therefrom and transfer said extracted letter combinations at said selected addresses to said logic processing means for display. 16. Apparatus according to claim 15 further comprising timing means for triggering renewed operation of said word selection means upon the elapse of a predetermined cycle interval. | 0.928115 |
7,975,019 | 10 | 11 | 10. The method of claim 1 , wherein the catalog page is a product detail page for said product. | 10. The method of claim 1 , wherein the catalog page is a product detail page for said product. 11. The method of claim 10 , wherein the pre-specified link signature is a product detail page link signature. | 0.837758 |
8,126,890 | 42 | 43 | 42. The apparatus of claim 41 wherein the decomposing includes mapping the syntactical pattern to the subject, the attribute, and the word based relational bond of each node in the node pool. | 42. The apparatus of claim 41 wherein the decomposing includes mapping the syntactical pattern to the subject, the attribute, and the word based relational bond of each node in the node pool. 43. The apparatus of claim 42 wherein at least one of a verb and an adverb of the syntactical pattern is mapped to the word based relational bond of each node in the node pool. | 0.5 |
10,034,099 | 5 | 6 | 5. The apparatus of claim 1 , wherein: the set of carbon nanotube bundles are reactive to a variation in a set of characteristics of the spoken sound; and the set of characteristics is selected from the group consisting of: (i) air molecule number density in the spoken sound; (ii) velocity of air molecules in the spoken sound; (iii) mass of air molecules in the spoken sound; and (iv) randomness in motion direction of air molecules in the spoken sound. | 5. The apparatus of claim 1 , wherein: the set of carbon nanotube bundles are reactive to a variation in a set of characteristics of the spoken sound; and the set of characteristics is selected from the group consisting of: (i) air molecule number density in the spoken sound; (ii) velocity of air molecules in the spoken sound; (iii) mass of air molecules in the spoken sound; and (iv) randomness in motion direction of air molecules in the spoken sound. 6. The apparatus of claim 5 , wherein: the set of carbon nanotube bundles are reactive to the variation in the set of characteristics based on a variation in set of characteristic parameters of the set of carbon nanotube bundles; and the set of characteristic parameters is selected from the group consisting of: (i) electrical capacitance of the set of carbon nanotube bundles; (ii) electrical resistance of the set of carbon nanotube bundles; (iii) stiffness of the set of carbon nanotube bundles; (iv) electrical inductance of the set of carbon nanotube bundles; and (v) tensile strength of the set of carbon nanotube bundles. | 0.5 |
9,639,708 | 1 | 13 | 1. A method of encrypting directories of a file system on an electronic device, the method comprising: by a processor: receiving, from a process running on an electronic device, a request to access a directory entry of a file system; identifying a user who is logged into the electronic device; determining whether the user has access to a directory encryption key associated with the directory entry, and in response to determining that the user does not have access to the directory encryption key: identifying an encrypted file name stored in the directory entry, wherein the encrypted file name comprises an encrypted user-domain file name, determining whether the encrypted file name complies with one or more naming rules, in response to determining that the encrypted file name does not comply with one or more naming rules, applying one or more functions to a file name associated with the encrypted file name to generate an encoded encrypted file name that complies with the one or more naming rules and an access hash value for the directory entry, storing the access hash value in a directory indexing structure such that it is associated with the directory entry, and causing the encoded encrypted file name to be displayed via a user interface of the electronic device as a representation of the directory entry. | 1. A method of encrypting directories of a file system on an electronic device, the method comprising: by a processor: receiving, from a process running on an electronic device, a request to access a directory entry of a file system; identifying a user who is logged into the electronic device; determining whether the user has access to a directory encryption key associated with the directory entry, and in response to determining that the user does not have access to the directory encryption key: identifying an encrypted file name stored in the directory entry, wherein the encrypted file name comprises an encrypted user-domain file name, determining whether the encrypted file name complies with one or more naming rules, in response to determining that the encrypted file name does not comply with one or more naming rules, applying one or more functions to a file name associated with the encrypted file name to generate an encoded encrypted file name that complies with the one or more naming rules and an access hash value for the directory entry, storing the access hash value in a directory indexing structure such that it is associated with the directory entry, and causing the encoded encrypted file name to be displayed via a user interface of the electronic device as a representation of the directory entry. 13. The method of claim 1 , wherein: receiving a request to access a directory entry of a file system comprises receiving an argument representing a file name, applying one or more functions to a file name associated with the encrypted file name to generate an encoded encrypted file name that complies with the one or more naming rules and an access hash value for the directory entry comprises: generating the access hash value using the argument, using the access hash value to identify the file from the directory indexing structure, and causing an operation to be performed on the identified file. | 0.5 |
10,114,889 | 5 | 8 | 5. A method for improving sensitive information filtering, which comprises steps of: acquiring text content; scanning the text content through a preset keyword dictionary; in response to a determination that the text content contains a plurality of keywords stored in the preset keyword dictionary, determining a position of each of the plurality of keywords in the text content; determining at least one character pitch between any two of the plurality of keywords in the text content based on the position of each keyword among the plurality of keywords, wherein the at least one character pitch is a difference between positions of any two of the plurality of keywords in the text content; determining whether the at least one character pitch does not exceed a preset character pitch; in response to a determination that the at least one character pitch does not exceed the preset character pitch, filtering out the plurality of keywords from the text content; wherein the preset keyword dictionary further stores a preset order of at least two keywords among all of the keywords that need to be filtered out; and wherein the method further comprises: determining the order of the plurality of keywords according to the position of each keyword among the plurality of keywords in the text content, comparing the order of the plurality of keywords in the text content with the preset order of corresponding keywords stored in the keyword dictionary, and when the order of the plurality of keywords in the text content matches the preset order of the corresponding keywords stored in the keyword dictionary, determining that the plurality of keywords satisfy the preset order. | 5. A method for improving sensitive information filtering, which comprises steps of: acquiring text content; scanning the text content through a preset keyword dictionary; in response to a determination that the text content contains a plurality of keywords stored in the preset keyword dictionary, determining a position of each of the plurality of keywords in the text content; determining at least one character pitch between any two of the plurality of keywords in the text content based on the position of each keyword among the plurality of keywords, wherein the at least one character pitch is a difference between positions of any two of the plurality of keywords in the text content; determining whether the at least one character pitch does not exceed a preset character pitch; in response to a determination that the at least one character pitch does not exceed the preset character pitch, filtering out the plurality of keywords from the text content; wherein the preset keyword dictionary further stores a preset order of at least two keywords among all of the keywords that need to be filtered out; and wherein the method further comprises: determining the order of the plurality of keywords according to the position of each keyword among the plurality of keywords in the text content, comparing the order of the plurality of keywords in the text content with the preset order of corresponding keywords stored in the keyword dictionary, and when the order of the plurality of keywords in the text content matches the preset order of the corresponding keywords stored in the keyword dictionary, determining that the plurality of keywords satisfy the preset order. 8. The method according to claim 5 , wherein acquiring the text content by means of receiving the text content. | 0.725248 |
8,150,859 | 5 | 6 | 5. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: receiving a search query; determining an ontology mapping exists for the search query; if an ontology mapping exists for the search query, retrieving ( 308 ) a first set of topics based on the ontology mapping and adding the first set of topics to a list of topics; performing a search using the search query to obtain a plurality of search results, each search result corresponding with a document snippet; receiving at least a portion of the document snippets as a document set for further analysis; comparing each document snippet in the document set to an ontology of topics; for each document snippet in which positive topic identification is determined, assigning the document snippet to a corresponding topic and removing the document snippet from the document set; adding at least one topic identified from the ontology of topics to the list of topics; comparing each document snippet remaining in the document set to an ontology of partial topics; for each document snippet in which positive partial topic identification is determined, assigning the document snippet to a corresponding partial topic and removing the document snippet from the document set; naming at least one partial topic having one or more assigned document snippets; adding at least one named partial topic to the list of topics; computing independent key-phrases from document snippets remaining in the document set, wherein computing the independent key-phrases from document snippets remaining in the document set comprises: generating candidate key-phrases from the document snippets remaining the document set, evaluating candidate key-phrases for independence, merging mutually dependent candidate key-phrases, and identifying a most frequent candidate key-phrase for each group of merged mutually dependent key-phrases; assigning documents to independent key-phrases; identifying at least one key-phrase topic; adding the at least one key-phrase topic to the list of topics; ranking topics within the list of topics; selecting topics based on ranking; generating a table of contents using the selected topics; and providing a search results page in response to the search query, the search results page including the table of contents and a search results area for presenting search results. | 5. One or more computer-readable media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: receiving a search query; determining an ontology mapping exists for the search query; if an ontology mapping exists for the search query, retrieving ( 308 ) a first set of topics based on the ontology mapping and adding the first set of topics to a list of topics; performing a search using the search query to obtain a plurality of search results, each search result corresponding with a document snippet; receiving at least a portion of the document snippets as a document set for further analysis; comparing each document snippet in the document set to an ontology of topics; for each document snippet in which positive topic identification is determined, assigning the document snippet to a corresponding topic and removing the document snippet from the document set; adding at least one topic identified from the ontology of topics to the list of topics; comparing each document snippet remaining in the document set to an ontology of partial topics; for each document snippet in which positive partial topic identification is determined, assigning the document snippet to a corresponding partial topic and removing the document snippet from the document set; naming at least one partial topic having one or more assigned document snippets; adding at least one named partial topic to the list of topics; computing independent key-phrases from document snippets remaining in the document set, wherein computing the independent key-phrases from document snippets remaining in the document set comprises: generating candidate key-phrases from the document snippets remaining the document set, evaluating candidate key-phrases for independence, merging mutually dependent candidate key-phrases, and identifying a most frequent candidate key-phrase for each group of merged mutually dependent key-phrases; assigning documents to independent key-phrases; identifying at least one key-phrase topic; adding the at least one key-phrase topic to the list of topics; ranking topics within the list of topics; selecting topics based on ranking; generating a table of contents using the selected topics; and providing a search results page in response to the search query, the search results page including the table of contents and a search results area for presenting search results. 6. The one or more computer-readable media of claim 5 , wherein receiving at least a portion of the document snippets as the document set for further analysis comprises receiving document snippets corresponding with a predetermined number of search results having the highest relevance to the search query. | 0.750408 |
9,092,409 | 6 | 7 | 6. The method of claim 1 , wherein the method further comprises: filtering the apparent geo-annotations and eliminating non-geographical annotations. | 6. The method of claim 1 , wherein the method further comprises: filtering the apparent geo-annotations and eliminating non-geographical annotations. 7. The method of claim 6 , further comprising: after the eliminating, making any remaining geo-annotations available for the level-of-detail score calculating. | 0.5 |
10,165,291 | 1 | 7 | 1. A method of decoding an encoded video bitstream, said method comprising the steps of: receiving said encoded video bitstream comprising frame header information and macroblock information, said frame header information defining a sequence of frames and each frame being composed of macroblocks represented by said macroblock information; parsing said encoded video bitstream using a first parsing unit and a second parsing unit, each parsing unit independently deriving a full set of parsing state information from said encoded video bitstream on which subsequent parsing of said encoded video bitstream at least partially depends and which identifies data dependencies of frames in said encoded video bitstream, and identifying macroblock information for decoding, and said parsing step includes parsing all of said frame header information in both said first parsing unit and in said second parsing unit such that each parsing unit maintains said full set of said parsing state information for said encoded video bitstream; and allocating each frame of macroblock information to one of said first parsing unit and said second parsing unit, wherein said first parsing unit and said second parsing unit each parse said macroblock information, skipping macroblock information allocated to the other parsing unit, the full set parsing state information derived by each parsing unit identifying data dependencies of at least one frame allocated to the other parsing unit. | 1. A method of decoding an encoded video bitstream, said method comprising the steps of: receiving said encoded video bitstream comprising frame header information and macroblock information, said frame header information defining a sequence of frames and each frame being composed of macroblocks represented by said macroblock information; parsing said encoded video bitstream using a first parsing unit and a second parsing unit, each parsing unit independently deriving a full set of parsing state information from said encoded video bitstream on which subsequent parsing of said encoded video bitstream at least partially depends and which identifies data dependencies of frames in said encoded video bitstream, and identifying macroblock information for decoding, and said parsing step includes parsing all of said frame header information in both said first parsing unit and in said second parsing unit such that each parsing unit maintains said full set of said parsing state information for said encoded video bitstream; and allocating each frame of macroblock information to one of said first parsing unit and said second parsing unit, wherein said first parsing unit and said second parsing unit each parse said macroblock information, skipping macroblock information allocated to the other parsing unit, the full set parsing state information derived by each parsing unit identifying data dependencies of at least one frame allocated to the other parsing unit. 7. The method of decoding an encoded video bitstream as claimed in claim 1 , wherein said encoded video bitstream comprises video sequence header information, said video sequence header information defining configuration parameters of said encoded video bitstream, and in said parsing step said first parsing unit and said second parsing unit both parse said video sequence header information. | 0.711877 |
8,831,943 | 8 | 9 | 8. The tangible or non-transitory computer readable recording medium storing the language model learning program as claimed in claim 7 , which enables the computer to execute sound model learning processing for updating a sound model based on the sound model stored in advance, the language model, and the learning speech data. | 8. The tangible or non-transitory computer readable recording medium storing the language model learning program as claimed in claim 7 , which enables the computer to execute sound model learning processing for updating a sound model based on the sound model stored in advance, the language model, and the learning speech data. 9. The tangible or non-transitory computer readable recording medium storing the language model learning program as claimed in claim 8 , wherein the sound model learning processing is specified to have contents for updating the sound model by using a mutual information amount basis. | 0.5 |
7,925,673 | 18 | 32 | 18. A system for providing an interactive knowledge based community solution, the community comprising multiple users, each of the multiple users belonging to a user type, the user types comprising participant, mentor, and subject matter expert (SME), the system comprising: (a) at least one database stored in a non-transitory data storage unit for storing a list of registered users having access to the system and a user profile associated with each user; (b) an access element for providing access to personalized portals for the registered users; (c) a computer-implemented mentor matching module for matching a participant user with a mentor user based on user profiles of the participant user and the mentor user; (d) a computer-implemented subject matter expert matching module for matching a participant user with at least one subject matter expert user based on user profiles of the participant user and the at least one subject matter user each including at least one of an industry identifier and an occupation identifier; (e) a computer-implemented interface module for at least one user to interact with at least one other user; and (f) a computer-implemented content module for providing each of participant user with personalized content that is selected on the basis of at least one of (i) a match between the participant user and a mentor user, and (ii) a match between the participant user and at least one subject matter expert user; wherein the mentor user differs from the at least one subject matter expert user. | 18. A system for providing an interactive knowledge based community solution, the community comprising multiple users, each of the multiple users belonging to a user type, the user types comprising participant, mentor, and subject matter expert (SME), the system comprising: (a) at least one database stored in a non-transitory data storage unit for storing a list of registered users having access to the system and a user profile associated with each user; (b) an access element for providing access to personalized portals for the registered users; (c) a computer-implemented mentor matching module for matching a participant user with a mentor user based on user profiles of the participant user and the mentor user; (d) a computer-implemented subject matter expert matching module for matching a participant user with at least one subject matter expert user based on user profiles of the participant user and the at least one subject matter user each including at least one of an industry identifier and an occupation identifier; (e) a computer-implemented interface module for at least one user to interact with at least one other user; and (f) a computer-implemented content module for providing each of participant user with personalized content that is selected on the basis of at least one of (i) a match between the participant user and a mentor user, and (ii) a match between the participant user and at least one subject matter expert user; wherein the mentor user differs from the at least one subject matter expert user. 32. The system of claim 18 , wherein the system identifies job opportunities to participant users. | 0.893246 |
5,491,628 | 2 | 4 | 2. The method of claim 1, wherein the step of specifying a first extended attribute grammar comprises the steps of: specifying a vocabulary of the first extended attribute grammar; and specifying at least one production of the first extended attribute grammar. | 2. The method of claim 1, wherein the step of specifying a first extended attribute grammar comprises the steps of: specifying a vocabulary of the first extended attribute grammar; and specifying at least one production of the first extended attribute grammar. 4. The method of claim 2, wherein the step of specifying the vocabulary of the first extended attribute grammar comprises the steps of: specifying a plurality of symbols; specifying at least one logical attribute for each symbol; and specifying at least one non-logical attribute for each symbol. | 0.5 |
8,394,133 | 11 | 12 | 11. The assembly of claim 8 , further comprising the upper compression structure including: a) the upwardly projecting structure is a pin that extends upwardly and is sized and shaped to engage the inner fastener lower through-bore; and b) a pair of downwardly extending leg portions joined by a lower U-shaped surface so as to be adapted to engage and partially encircle the connecting member. | 11. The assembly of claim 8 , further comprising the upper compression structure including: a) the upwardly projecting structure is a pin that extends upwardly and is sized and shaped to engage the inner fastener lower through-bore; and b) a pair of downwardly extending leg portions joined by a lower U-shaped surface so as to be adapted to engage and partially encircle the connecting member. 12. The assembly of claim 11 , wherein the upper compression structure is adapted to be received within the bone screw receiver. | 0.711712 |
7,657,515 | 12 | 24 | 12. A computer-implemented system for document searching, the system comprising: (a) a computing system that comprises one or more computing devices coupled to a computer network said computing system operable to receive queries; (b) a data store coupled to the computing system operable to store document data in a form suitable for computerized searching; and (c) a software search component running on the computing system that, in response to the computing system receiving a query that includes first and second lists of query terms: (i) logically combines the first and second lists of query terms to form sub-queries, each sub-query comprising at least one term from the first list and at least one term from the second list; (ii) searches the data store by executing the sub-queries such that at least two of the sub-queries are executed in parallel; (iii) obtains results from each sub-query execution, the results including information that identifies the locations of the terms from the first and second lists in the document data stored in the data store; (iv) combines the results from all sub-queries to create a single query result; (v) removes duplicate results from the single query result; and (vi) returns the single query result. | 12. A computer-implemented system for document searching, the system comprising: (a) a computing system that comprises one or more computing devices coupled to a computer network said computing system operable to receive queries; (b) a data store coupled to the computing system operable to store document data in a form suitable for computerized searching; and (c) a software search component running on the computing system that, in response to the computing system receiving a query that includes first and second lists of query terms: (i) logically combines the first and second lists of query terms to form sub-queries, each sub-query comprising at least one term from the first list and at least one term from the second list; (ii) searches the data store by executing the sub-queries such that at least two of the sub-queries are executed in parallel; (iii) obtains results from each sub-query execution, the results including information that identifies the locations of the terms from the first and second lists in the document data stored in the data store; (iv) combines the results from all sub-queries to create a single query result; (v) removes duplicate results from the single query result; and (vi) returns the single query result. 24. The system of claim 12 , wherein the information that identifies the locations of the terms from the first and second lists in the document data is comprises an ordinal number that represents the position of each term in the document. | 0.5 |
9,767,214 | 14 | 18 | 14. One or more non-transitory storage media storing one or more sequences of instructions which, when executed by one or more computing devices, cause: generating a query plan for executing a query conforming to a database language; wherein generating a query plan includes: incorporating one or more operators into the query plan, wherein each of the one or more operators comprises a primitive operation; and generating query plan formation data that specifies one or more factors causing the incorporating of said one or more operators in the query plan; and based on one or more criteria, generating query plan display output that includes for each operator of said one or more operators: output identifying said each operator; and output identifying a factor of said one or more factors causing the incorporating of said each operator in the query plan. | 14. One or more non-transitory storage media storing one or more sequences of instructions which, when executed by one or more computing devices, cause: generating a query plan for executing a query conforming to a database language; wherein generating a query plan includes: incorporating one or more operators into the query plan, wherein each of the one or more operators comprises a primitive operation; and generating query plan formation data that specifies one or more factors causing the incorporating of said one or more operators in the query plan; and based on one or more criteria, generating query plan display output that includes for each operator of said one or more operators: output identifying said each operator; and output identifying a factor of said one or more factors causing the incorporating of said each operator in the query plan. 18. The one or more non-transitory storage media of claim 14 , the one or more sequences of instructions comprising instruction that, when executed by said one or more computing devices, cause generating the query plan formation data and the query plan display output are only generated for particular types of operators that do not include all types of the one or more operators incorporated in the query plan. | 0.71097 |
9,160,738 | 1 | 3 | 1. An authorization system, comprising: one or more hardware processors configured to provide an authorization node executing an authorization policy; and a reference monitor arranged to receive from a first entity a request for access to a resource and a credential statement, wherein the first entity consents to import a fact from a further entity, wherein the authorization node is arranged to determine whether the further entity consents to export the fact to the first entity, and, responsive thereto, evaluate the request for access in accordance with the authorization policy and the credential statement, the authorization node being further arranged to deny the access request received from the first entity in response to the further entity not consenting to export the fact to the first entity, wherein the request and credential statement are SecPAL statements, and the delegation of authority in the credential statement comprises a “can say” statement, and the further entity consents to provide the fact to the first entity using a SecPAL “can listen to” statement. | 1. An authorization system, comprising: one or more hardware processors configured to provide an authorization node executing an authorization policy; and a reference monitor arranged to receive from a first entity a request for access to a resource and a credential statement, wherein the first entity consents to import a fact from a further entity, wherein the authorization node is arranged to determine whether the further entity consents to export the fact to the first entity, and, responsive thereto, evaluate the request for access in accordance with the authorization policy and the credential statement, the authorization node being further arranged to deny the access request received from the first entity in response to the further entity not consenting to export the fact to the first entity, wherein the request and credential statement are SecPAL statements, and the delegation of authority in the credential statement comprises a “can say” statement, and the further entity consents to provide the fact to the first entity using a SecPAL “can listen to” statement. 3. A system according to claim 1 , wherein if the further entity does not consent to provide the fact to the first entity, then the delegation fails and the credential statement does not import the fact from the further entity. | 0.608621 |
9,576,041 | 1 | 5 | 1. A method of generating a database query, the method comprising: receiving a user selection of one of a number of predetermined generic database queries from a user; automatically generating user specific data from a user profile corresponding to the user, the user profile data comprising a user data statement table comprising a number of user data statements, wherein each user data statement comprises a relationship identifier and two or more data items, the user specific data being generated by: i) generating a user data items list comprising all of the data items comprised in the user data statement table; ii) for each of a set of predetermined applicable query statements, each of the applicable query statements comprising an applicable relationship identifier, an applicable data item and a variable, inserting each of the data items held in the user data statement table into the applicable query statement and storing the applicable query statement in an applicability criteria data set if it matches one of the user data statements held in the user data statement table; iii) for each of a set of predetermined effects query statements, each of the effects query statements comprising an effects relationship identifier and a variable, inserting each of the elements of the applicability criteria data set into the effects query statement and storing it in the user specific data if it matches one of the user data statements held in the user data statement table; and automatically applying the user specific data to a number of user specific generator query statements in order to generate one or more user specific queries. | 1. A method of generating a database query, the method comprising: receiving a user selection of one of a number of predetermined generic database queries from a user; automatically generating user specific data from a user profile corresponding to the user, the user profile data comprising a user data statement table comprising a number of user data statements, wherein each user data statement comprises a relationship identifier and two or more data items, the user specific data being generated by: i) generating a user data items list comprising all of the data items comprised in the user data statement table; ii) for each of a set of predetermined applicable query statements, each of the applicable query statements comprising an applicable relationship identifier, an applicable data item and a variable, inserting each of the data items held in the user data statement table into the applicable query statement and storing the applicable query statement in an applicability criteria data set if it matches one of the user data statements held in the user data statement table; iii) for each of a set of predetermined effects query statements, each of the effects query statements comprising an effects relationship identifier and a variable, inserting each of the elements of the applicability criteria data set into the effects query statement and storing it in the user specific data if it matches one of the user data statements held in the user data statement table; and automatically applying the user specific data to a number of user specific generator query statements in order to generate one or more user specific queries. 5. A method according to claim 1 , wherein the user specific queries are formed in two or more parts, and said query parts are used to query respective two or more databases. | 0.688172 |
7,642,932 | 1 | 4 | 1. A method of entering text in a mobile communication device comprising the steps of: storing a list of the characters used in a language based on a Thai alphabet to be entered by use of a standard keypad of the mobile communications device; dividing the list of characters into at least first and second groups; adapting a standard keypad of the mobile communications device for operation in a first and second mode selectable by the user by the activation of a dedicated key of the keypad; mapping each of the characters of the first group to a key of the keypad for selection, when the keypad is operating in the first mode; mapping each of the characters of the second group to a key of the keypad for selection, when the keypad is operating in the second mode; selecting an alphabetic character for entry into the mobile communications device; determining which of the first and second groups contains the selected alphabetic character; selecting the mode of operation corresponding to the group containing the selected character; entering the selected character by multi-tapping the key to which the character is mapped; and wherein the first group is comprised only of consonant characters and the second group comprises only non-consonant characters. | 1. A method of entering text in a mobile communication device comprising the steps of: storing a list of the characters used in a language based on a Thai alphabet to be entered by use of a standard keypad of the mobile communications device; dividing the list of characters into at least first and second groups; adapting a standard keypad of the mobile communications device for operation in a first and second mode selectable by the user by the activation of a dedicated key of the keypad; mapping each of the characters of the first group to a key of the keypad for selection, when the keypad is operating in the first mode; mapping each of the characters of the second group to a key of the keypad for selection, when the keypad is operating in the second mode; selecting an alphabetic character for entry into the mobile communications device; determining which of the first and second groups contains the selected alphabetic character; selecting the mode of operation corresponding to the group containing the selected character; entering the selected character by multi-tapping the key to which the character is mapped; and wherein the first group is comprised only of consonant characters and the second group comprises only non-consonant characters. 4. The method according to claim 1 further comprising the step of identifying the characters of the first group mapped to each key on the associated key and displaying the characters of the second group mapped to each key according to the selected mode of operation. | 0.5 |
8,126,890 | 18 | 19 | 18. The method of claim 5 wherein the relation classifier uses a relation of a proposed node to determine if the proposed node should be constructed. | 18. The method of claim 5 wherein the relation classifier uses a relation of a proposed node to determine if the proposed node should be constructed. 19. The method of claim 18 wherein the relation classifier performs a lookup in a lexicon of verbs and adverbs using as an argument the relation of the proposed node to determine if the proposed node should be constructed. | 0.5 |
8,266,514 | 2 | 3 | 2. A method as described in claim 1 , further comprising designating the specified linguistic services by the platform. | 2. A method as described in claim 1 , further comprising designating the specified linguistic services by the platform. 3. A method as described in claim 2 , wherein the designating is performed such that at least one said linguistic service having a service property that is not specified by the application in the data via the API call is not designated by the platform. | 0.5 |
6,088,707 | 52 | 53 | 52. A computer-implemented method of monitoring an update status of a document, the method comprising: (a) generating a trigger function defining a notification criteria for the document, the notification criteria identifying at least one author; (b) retrieving data associated with a current copy of the document; (c) analyzing the retrieved data using the trigger function to determine if the current copy of the document has been updated by the author; and (d) selectively notifying a user that the document has been updated based upon whether the current copy of the document has been updated by the author. | 52. A computer-implemented method of monitoring an update status of a document, the method comprising: (a) generating a trigger function defining a notification criteria for the document, the notification criteria identifying at least one author; (b) retrieving data associated with a current copy of the document; (c) analyzing the retrieved data using the trigger function to determine if the current copy of the document has been updated by the author; and (d) selectively notifying a user that the document has been updated based upon whether the current copy of the document has been updated by the author. 53. The method of claim 52, wherein selectively notifying the user includes notifying the user when the document has been updated by the author. | 0.767742 |
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