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9,666,185 | 1 | 6 |
1. A method comprising: receiving, by a computing device, a help request from a user of an automated dialog system, wherein the help request comprises a user request for information about one or more capabilities of the automated dialog system; identifying, based on a state of the automated dialog system, information expected to be input by the user to request that the automated dialog system perform the one or more capabilities; and generating, by the computing device and based on querying natural language training data for at least one natural language phrase, a natural language help prompt providing guidance to the user to provide the identified information expected to be input.
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1. A method comprising: receiving, by a computing device, a help request from a user of an automated dialog system, wherein the help request comprises a user request for information about one or more capabilities of the automated dialog system; identifying, based on a state of the automated dialog system, information expected to be input by the user to request that the automated dialog system perform the one or more capabilities; and generating, by the computing device and based on querying natural language training data for at least one natural language phrase, a natural language help prompt providing guidance to the user to provide the identified information expected to be input. 6. The method of claim 1 , wherein the natural language help prompt comprises information from a data source remote to the automated dialog system.
| 0.84814 |
8,423,383 | 28 | 37 |
28. An online method of providing online medical consultation services utilizing a computer-implemented system connected to the internet to obtain quantitative and qualitative medical opinions from a panel of selected medical professionals, the method comprising the steps of: (a) creating a database of potential participating medical professionals, along with information about each potential participating medical professional, including the qualifications of the potential participating medical professional; (b) user seeking a medical consultation accesses the system; (c) user submits information regarding the desired medical consultation; (d) system selects a panel of medical professionals qualified to provide desired medical consultation based upon information in the database; (e) question(s) based on user submitted information and user submitted information are provided to the medical professionals in the selected panel; (f) medical professionals in the selected panel formulate response(s) to provided question(s) and comments regarding user submitted information; (g) responses and comments from the medical professionals in the selected panel are forwarded to the system; and (h) system calculates the degree of consensus of responses to questions, and displays same, along comments from the medical professionals, on a system website accessible to the user.
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28. An online method of providing online medical consultation services utilizing a computer-implemented system connected to the internet to obtain quantitative and qualitative medical opinions from a panel of selected medical professionals, the method comprising the steps of: (a) creating a database of potential participating medical professionals, along with information about each potential participating medical professional, including the qualifications of the potential participating medical professional; (b) user seeking a medical consultation accesses the system; (c) user submits information regarding the desired medical consultation; (d) system selects a panel of medical professionals qualified to provide desired medical consultation based upon information in the database; (e) question(s) based on user submitted information and user submitted information are provided to the medical professionals in the selected panel; (f) medical professionals in the selected panel formulate response(s) to provided question(s) and comments regarding user submitted information; (g) responses and comments from the medical professionals in the selected panel are forwarded to the system; and (h) system calculates the degree of consensus of responses to questions, and displays same, along comments from the medical professionals, on a system website accessible to the user. 37. The method of claim 28 further comprising the steps of creating defined criteria and parsing the user submitted information against the defined criteria using a software program to determine if user submitted information meets minimum defined criteria.
| 0.711712 |
5,537,488 | 1 | 10 |
1. A pattern recognition system comprising: a training subsystem that receives during a training operation a plurality of training input patterns of a data type from a plurality of subject classes, that forms a set of categories of the training input patterns, that assigns each category a category definition according to training input patterns received within the category, that counts the training input patterns received for each class within each category and that generates for each category a training histogram of the training input patterns received within the category, the training histogram including counts of training input patterns received for each class within the category; and a classifier that receives during a testing operation at least one test input pattern of the data type from the subject, that accesses the set of categories and computes a correlation between a category definition and each test input pattern, that forms a category association between each test input pattern and a category based on the correlation and that forms an observation histogram to classify the subject, the observation histogram being formed from each training histogram of each category of each category association and representing counts of training input patterns received by the training subsystem during the training operation, classification of the subject being determined by a peak class of the observation histogram, the peak class representing the highest training input pattern count of the observation histogram.
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1. A pattern recognition system comprising: a training subsystem that receives during a training operation a plurality of training input patterns of a data type from a plurality of subject classes, that forms a set of categories of the training input patterns, that assigns each category a category definition according to training input patterns received within the category, that counts the training input patterns received for each class within each category and that generates for each category a training histogram of the training input patterns received within the category, the training histogram including counts of training input patterns received for each class within the category; and a classifier that receives during a testing operation at least one test input pattern of the data type from the subject, that accesses the set of categories and computes a correlation between a category definition and each test input pattern, that forms a category association between each test input pattern and a category based on the correlation and that forms an observation histogram to classify the subject, the observation histogram being formed from each training histogram of each category of each category association and representing counts of training input patterns received by the training subsystem during the training operation, classification of the subject being determined by a peak class of the observation histogram, the peak class representing the highest training input pattern count of the observation histogram. 10. The pattern recognition system of claim 1 wherein for each category the training subsystem computes a category class contrast indicative of the degree to which a peak class of the category dominates the other classes of the category.
| 0.838995 |
8,024,316 | 13 | 14 |
13. The computer-implemented method of claim 12 , wherein performing the extraction comprises: parsing the referring URL for at least one key word of the query.
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13. The computer-implemented method of claim 12 , wherein performing the extraction comprises: parsing the referring URL for at least one key word of the query. 14. The computer-implemented method of claim 13 , further comprising: selecting one of multiple templates for parsing the referring URL, each of the multiple templates configured for parsing referring URLs from a corresponding search engine; and parsing the referring URL using the selected template.
| 0.5 |
8,577,679 | 18 | 23 |
18. A non-transitory computer-readable recording media recording a program for causing a computer to function as a symbol insertion apparatus for inserting a symbol in a word sequence transcribing voice information comprising: a symbol insertion likelihood calculation unit that obtains a symbol insertion likelihood of the word sequence for each of a plurality of symbol insertion models, the plurality of symbol insertion models being supplied for the word sequence to insert the symbol in for each speaking style feature; a speaking style feature similarity calculation unit that obtains a similarity between the speaking style feature of the word sequence and a plurality of speaking style feature models; and a symbol insertion evaluation unit that weights the symbol insertion likelihood obtained for the word sequence for each of the plurality of symbol insertion models according to the similarly between the speaking style feature of the word sequence and the plurality of speaking style feature models and a relevance between the symbol insertion model and the speaking style feature model, and perform symbol insertion evaluation to the word sequence.
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18. A non-transitory computer-readable recording media recording a program for causing a computer to function as a symbol insertion apparatus for inserting a symbol in a word sequence transcribing voice information comprising: a symbol insertion likelihood calculation unit that obtains a symbol insertion likelihood of the word sequence for each of a plurality of symbol insertion models, the plurality of symbol insertion models being supplied for the word sequence to insert the symbol in for each speaking style feature; a speaking style feature similarity calculation unit that obtains a similarity between the speaking style feature of the word sequence and a plurality of speaking style feature models; and a symbol insertion evaluation unit that weights the symbol insertion likelihood obtained for the word sequence for each of the plurality of symbol insertion models according to the similarly between the speaking style feature of the word sequence and the plurality of speaking style feature models and a relevance between the symbol insertion model and the speaking style feature model, and perform symbol insertion evaluation to the word sequence. 23. A non-transitory computer-readable recording media according to claim 18 , wherein for the symbol insertion likelihood obtained for the word sequence by a certain symbol insertion model, if the symbol insertion likelihood weighted according to the similarity between the speaking style feature of the word sequence and the plurality of speaking style feature models and the relevance between the symbol insertion model and the plurality of speaking style feature models is defined as symbol insertion likelihood for different models, the symbol insertion evaluation unit calculates, for each symbol to be inserted, a total of a predetermined number of the symbol insertion likelihood for different models selected from a plurality of the symbol insertion likelihood for different models which are obtained for the plurality of symbol insertion models, and performs symbol insertion evaluation by comparing the total with a threshold.
| 0.5 |
8,402,019 | 19 | 22 |
19. A system for determining a particular document that initiated a topic of interest in a collection of documents, each of the documents having contents and a time it was created, comprising: a time ranking module that ranks the documents in the collection based on the respective times that the documents were created; a content ranking module that ranks the documents based on how similar their respective contents are to the topic of interest; an originality ranking module that ranks the documents based on originality of their respective contents; a forum ranking module that ranks the documents based on an identification and name of a forum that each document originated from; a composite ranking module that ranks the documents based on the time, the contents, the originality rankings, and the forum; and a determination module that determines the particular document that initiated the topic of interest from the composite ranking.
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19. A system for determining a particular document that initiated a topic of interest in a collection of documents, each of the documents having contents and a time it was created, comprising: a time ranking module that ranks the documents in the collection based on the respective times that the documents were created; a content ranking module that ranks the documents based on how similar their respective contents are to the topic of interest; an originality ranking module that ranks the documents based on originality of their respective contents; a forum ranking module that ranks the documents based on an identification and name of a forum that each document originated from; a composite ranking module that ranks the documents based on the time, the contents, the originality rankings, and the forum; and a determination module that determines the particular document that initiated the topic of interest from the composite ranking. 22. The system of claim 19 , wherein the originality ranking module ranks, at least in part, on whether the documents include a reply indicator.
| 0.661972 |
8,650,089 | 8 | 13 |
8. A system for providing dynamic content in a static electronic document, comprising: a memory component that stores logic that causes a remote computing device to perform at least the following: create the static electronic document of a publication, wherein the publication comprises a replica of a paper-based printed publication, wherein the static electronic document is configured to be displayed with the same look and feel as the printed publication, and wherein the static electronic document functions as a locally stored software application; receive an indication to include the dynamic content into the static electronic document; create a computer program that defines functionality of the dynamic content; deploy the computer program into the static electronic document, wherein the computer program is linked to a remote file that contains the dynamic content; send the static electronic document to a user computing device, wherein at least a first portion of the static electronic document is configured to be viewed as a locally stored document and at least a second portion of the static electronic document receives the dynamic content from the remote computing device, wherein the static electronic document comprises a pointer that causes the user computing device to utilize the computer program for retrieving the dynamic content from the remote computing device; receive a request to provide the dynamic content, the request being provided in response to a user selection of a predetermined area of interest in the static electronic document; provide the dynamic content to the user computing device, wherein upon receipt of the dynamic content, the computer program causes the dynamic content to be provided within the predetermined area of interest in the static electronic document, wherein the dynamic content comprises an option to make a reservation; receiving a user selection of the option to make the reservation, wherein the user selection is performed via an interaction with the dynamic content within the static electronic document; and processing the user selection within the static electronic document to make the reservation with a vendor that is associated with the dynamic content.
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8. A system for providing dynamic content in a static electronic document, comprising: a memory component that stores logic that causes a remote computing device to perform at least the following: create the static electronic document of a publication, wherein the publication comprises a replica of a paper-based printed publication, wherein the static electronic document is configured to be displayed with the same look and feel as the printed publication, and wherein the static electronic document functions as a locally stored software application; receive an indication to include the dynamic content into the static electronic document; create a computer program that defines functionality of the dynamic content; deploy the computer program into the static electronic document, wherein the computer program is linked to a remote file that contains the dynamic content; send the static electronic document to a user computing device, wherein at least a first portion of the static electronic document is configured to be viewed as a locally stored document and at least a second portion of the static electronic document receives the dynamic content from the remote computing device, wherein the static electronic document comprises a pointer that causes the user computing device to utilize the computer program for retrieving the dynamic content from the remote computing device; receive a request to provide the dynamic content, the request being provided in response to a user selection of a predetermined area of interest in the static electronic document; provide the dynamic content to the user computing device, wherein upon receipt of the dynamic content, the computer program causes the dynamic content to be provided within the predetermined area of interest in the static electronic document, wherein the dynamic content comprises an option to make a reservation; receiving a user selection of the option to make the reservation, wherein the user selection is performed via an interaction with the dynamic content within the static electronic document; and processing the user selection within the static electronic document to make the reservation with a vendor that is associated with the dynamic content. 13. The system of claim 8 , wherein the logic further causes the system to perform user authentication prior to providing the dynamic content to the user computing device.
| 0.708191 |
7,609,881 | 4 | 5 |
4. An image processing device according to the claim 1 , wherein said image area extracting part comprises a first extracting part for extracting text image areas, graphic image areas, and photographic image areas from image data, and a second extracting part for extracting filled closed areas, unfilled closed areas, and line areas that do not form any closed areas from the extracted graphic image areas; wherein said attribute recognizing part recognizes attributes concerning whether each extracted image area is a text image area, a photographic image area, a filled closed area, an unfilled closed area or a line area; and said sequence setting part sets up the overlaying sequence for each image area of text image areas, photographic image areas, filled closed areas, unfilled closed areas, and line areas in accordance with the recognition result of said attribute recognizing part.
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4. An image processing device according to the claim 1 , wherein said image area extracting part comprises a first extracting part for extracting text image areas, graphic image areas, and photographic image areas from image data, and a second extracting part for extracting filled closed areas, unfilled closed areas, and line areas that do not form any closed areas from the extracted graphic image areas; wherein said attribute recognizing part recognizes attributes concerning whether each extracted image area is a text image area, a photographic image area, a filled closed area, an unfilled closed area or a line area; and said sequence setting part sets up the overlaying sequence for each image area of text image areas, photographic image areas, filled closed areas, unfilled closed areas, and line areas in accordance with the recognition result of said attribute recognizing part. 5. An image processing device according to the claim 4 , wherein said sequence setting part sets up the overlaying sequence to overlay text image areas in front, filled closed areas and photographic image areas in back, and unfilled closed areas and line areas in between the front and back.
| 0.766077 |
8,385,652 | 12 | 13 |
12. The image processing apparatus of claim 11 wherein the Western and hieroglyphic text classifier component is further configured to identify inter-word breaks in the textual line based on a Western word breaking algorithm.
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12. The image processing apparatus of claim 11 wherein the Western and hieroglyphic text classifier component is further configured to identify inter-word breaks in the textual line based on a Western word breaking algorithm. 13. The image processing apparatus of claim 12 wherein the Western and hieroglyphic text classifier component is configured to place inter-word breaks around each character that has been recognized as a hieroglyphic character with a confidence level greater than a threshold level.
| 0.5 |
8,014,634 | 50 | 60 |
50. A computer-readable medium encoded with computer program code to approve a graphical document, the program code effective to perform the following: store one or more graphical documents; store content rating information associated with the one or more stored graphical documents; compare graphical content of a graphical document under evaluation with graphical content of the one or more stored graphical documents to identify a matching graphical document by a processor; and grant a distribution approval to the graphical document under evaluation based on the match and content rating information associated with the matching graphical document by the processor.
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50. A computer-readable medium encoded with computer program code to approve a graphical document, the program code effective to perform the following: store one or more graphical documents; store content rating information associated with the one or more stored graphical documents; compare graphical content of a graphical document under evaluation with graphical content of the one or more stored graphical documents to identify a matching graphical document by a processor; and grant a distribution approval to the graphical document under evaluation based on the match and content rating information associated with the matching graphical document by the processor. 60. The method of claim 50 , further comprising comparing at least one of an image, animation, and sound of the graphical document under evaluation with at least one corresponding image, animation, and sound of the one or more stored graphical documents.
| 0.763501 |
8,321,201 | 43 | 49 |
43. The method of claim 40 , wherein the operations are performed in conjunction with searching for synonyms for individual query terms.
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43. The method of claim 40 , wherein the operations are performed in conjunction with searching for synonyms for individual query terms. 49. The method of claim 43 , wherein the operations further comprise: identifying possible query phrases in a query by considering sub-phrases of the query; and determining candidate synonyms for the possible query phrases.
| 0.72401 |
8,484,562 | 15 | 17 |
15. The method of claim 14 , wherein: the at least two characteristic dimensions comprise a height and a width.
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15. The method of claim 14 , wherein: the at least two characteristic dimensions comprise a height and a width. 17. The method of claim 15 , wherein: the display attributes comprise a font size; and the font size used for displaying the text comprises a default font size corresponding to the first text box reduced in the same manner as the characteristic dimension of the one of the first text region, second text region, and third text region of the identified largest ratio.
| 0.5 |
8,583,669 | 18 | 19 |
18. A non-transitory computer readable medium containing instructions which, when executed by one or more processing devices, perform a method of generating a query for identifying documents subject to a litigation hold, the method comprising: receiving a training set of documents, wherein each document in the set of training documents is given a relevance indicator; receiving an initial query including one or more initial keywords; querying the training set of documents based on the initial query; determining a spatial proximity between one of the initial keywords and a set of keywords in the training set of documents; generating, by one or more processing devices, a set of one or more neighboring queries based on the spatial proximity, the neighboring queries including one or more additional keywords; evaluating each of the one or more neighboring queries in the set by assigning a quality score, including determining a highest ranked neighboring query; repeating the generating a set of one or more neighboring queries and evaluating each of the one or more neighboring queries, wherein the highest ranked neighboring query is provided as the initial query, until it is determined that a quality score of the highest ranked neighboring query is less than a quality score of the initial query, wherein a previously highest ranked neighboring query with a quality score greater than or equal to the quality of the initial query is a resultant query; and presenting the resultant query to a user.
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18. A non-transitory computer readable medium containing instructions which, when executed by one or more processing devices, perform a method of generating a query for identifying documents subject to a litigation hold, the method comprising: receiving a training set of documents, wherein each document in the set of training documents is given a relevance indicator; receiving an initial query including one or more initial keywords; querying the training set of documents based on the initial query; determining a spatial proximity between one of the initial keywords and a set of keywords in the training set of documents; generating, by one or more processing devices, a set of one or more neighboring queries based on the spatial proximity, the neighboring queries including one or more additional keywords; evaluating each of the one or more neighboring queries in the set by assigning a quality score, including determining a highest ranked neighboring query; repeating the generating a set of one or more neighboring queries and evaluating each of the one or more neighboring queries, wherein the highest ranked neighboring query is provided as the initial query, until it is determined that a quality score of the highest ranked neighboring query is less than a quality score of the initial query, wherein a previously highest ranked neighboring query with a quality score greater than or equal to the quality of the initial query is a resultant query; and presenting the resultant query to a user. 19. The computer readable medium of claim 18 , wherein the neighboring queries are evaluated based on one or more of the precision of the query, recall of the query, or the F 1 score of the query.
| 0.5 |
8,380,870 | 7 | 8 |
7. A method of filtering DNS queries, the method comprising: defining a filter rule including a filter criteria, a filter type, and a throttle percentage; determining that a first field in a portion of the received non-content based network requests matches the filter criteria; receiving a plurality of DNS queries at a plurality of processing engines, wherein each DNS query comprises a query name and a non-content based DNS resource record type; determining a match between the filter criteria and the query name and between the filter type and the non-content based DNS resource record type or a portion of the plurality of DNS queries; testing the filter rule, without blocking any packets, by determining a number of packets that would be blocked under the filter rule; and blocking a percentage of the portion of the DNS queries based on the throttle percentage.
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7. A method of filtering DNS queries, the method comprising: defining a filter rule including a filter criteria, a filter type, and a throttle percentage; determining that a first field in a portion of the received non-content based network requests matches the filter criteria; receiving a plurality of DNS queries at a plurality of processing engines, wherein each DNS query comprises a query name and a non-content based DNS resource record type; determining a match between the filter criteria and the query name and between the filter type and the non-content based DNS resource record type or a portion of the plurality of DNS queries; testing the filter rule, without blocking any packets, by determining a number of packets that would be blocked under the filter rule; and blocking a percentage of the portion of the DNS queries based on the throttle percentage. 8. The method of claim 7 wherein the filter criteria comprises at least one of a domain name, a range of source IP addresses, or protocol header bits.
| 0.621212 |
7,680,767 | 19 | 20 |
19. The computer readable storage medium of claim 11 , further comprising computer executable instructions for generating a mapping that correlates portions of said application schema to portions of said database schema, and processing said mapping to generate said query view and update view based on said mapping.
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19. The computer readable storage medium of claim 11 , further comprising computer executable instructions for generating a mapping that correlates portions of said application schema to portions of said database schema, and processing said mapping to generate said query view and update view based on said mapping. 20. The computer readable storage medium of claim 19 , wherein said query view and said update view are automatically generated as bidirectional views using said mapping.
| 0.5 |
4,831,529 | 4 | 8 |
4. The machine translation system as claimed in claim 3 wherein said first dictionary for storing various words in various parts of speech and their translation in the second language is a general purpose dictionary and said second dictionary for storing various words designated as nouns in the second language is a nomenclature dictionary.
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4. The machine translation system as claimed in claim 3 wherein said first dictionary for storing various words in various parts of speech and their translation in the second language is a general purpose dictionary and said second dictionary for storing various words designated as nouns in the second language is a nomenclature dictionary. 8. The machine translation system as claimed in claim 4 wherein the display surface of said display means is divided into at least three displaying zones which consist of an edit zone in the upper portion, an original sentence display zone in the left half under the edit zone, and a translation display zone in the right half under the edit zone, of the display means.
| 0.5 |
9,302,393 | 1 | 18 |
1. An auditory relational robotic controller (RRC)-humanoid robot comprising: a human-like mechanical robotic system comprising a human-like tactile recording monitor, a human-like visual recording monitor, and a human-like robotic body comprising a set of bipedal limbs, a set of arms, a set of hands, a set of fingers, an energy power source, and sets of motors and gears used to move the body, limbs, arms, hands, and fingers; an auditory human-like recording monitor sensitive to an auditory frequency range of 1-20,000 cycles per second (cps), said auditory human-like recording monitor comprising a set of linear pickup microphones and a set of spectrum analyzers that convert incoming sound into electronic phonetic (a-f-t)-signal output characterized by an amplitude, frequency, time (a-f-t) chart showing the amplitude and frequency of the incoming sound as a function of time; a relational robotic controller (RRC) that satisfies a set of specification requirements for relational robotic controllers; a verbal-phoneme sound generator that generates sequences of phoneme sounds that are controlled by the RRC; an interface circuit positioned between the auditory human-like recording monitor and the RRC, said interface circuit configured to decompose an electronic phonetic (a-f-t)-signal output of each spectrum analyzer into collective modalities tuned to the characteristics of verbal speech, generate a q-magnitude and p-direction p-phoneme vector that is a suitable input to a multi-dimensional function space Nodal Map Module (NMM), standardize the p-phoneme vector to operate in a Task Selector Module (TSM), the NMM, a Sequence Stepper Module (SSM) of the RRC, and successfully activate the verbal-phoneme sound generator, and develop a speech processing methodology for obtaining a one-to-one mapping of the acoustic signals onto a phonetic structure free of segmentation errors; and a programming methodology defined by a Declarative Hierarchical Task Diagram (DHTD) specification that provides the robot a human-like, high IQ form of verbal artificial intelligence (AI).
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1. An auditory relational robotic controller (RRC)-humanoid robot comprising: a human-like mechanical robotic system comprising a human-like tactile recording monitor, a human-like visual recording monitor, and a human-like robotic body comprising a set of bipedal limbs, a set of arms, a set of hands, a set of fingers, an energy power source, and sets of motors and gears used to move the body, limbs, arms, hands, and fingers; an auditory human-like recording monitor sensitive to an auditory frequency range of 1-20,000 cycles per second (cps), said auditory human-like recording monitor comprising a set of linear pickup microphones and a set of spectrum analyzers that convert incoming sound into electronic phonetic (a-f-t)-signal output characterized by an amplitude, frequency, time (a-f-t) chart showing the amplitude and frequency of the incoming sound as a function of time; a relational robotic controller (RRC) that satisfies a set of specification requirements for relational robotic controllers; a verbal-phoneme sound generator that generates sequences of phoneme sounds that are controlled by the RRC; an interface circuit positioned between the auditory human-like recording monitor and the RRC, said interface circuit configured to decompose an electronic phonetic (a-f-t)-signal output of each spectrum analyzer into collective modalities tuned to the characteristics of verbal speech, generate a q-magnitude and p-direction p-phoneme vector that is a suitable input to a multi-dimensional function space Nodal Map Module (NMM), standardize the p-phoneme vector to operate in a Task Selector Module (TSM), the NMM, a Sequence Stepper Module (SSM) of the RRC, and successfully activate the verbal-phoneme sound generator, and develop a speech processing methodology for obtaining a one-to-one mapping of the acoustic signals onto a phonetic structure free of segmentation errors; and a programming methodology defined by a Declarative Hierarchical Task Diagram (DHTD) specification that provides the robot a human-like, high IQ form of verbal artificial intelligence (AI). 18. The auditory RRC-humanoid robot of claim 1 , wherein a stand-alone RRC-auditory-verbalizing answering machine system is formed by combining three core parts of a fully trained auditory RRC-humanoid robot, wherein the three core parts comprise an RRC system, an auditory RRC recording monitor comprising a set of pick-up microphones and an interface spectrum analyzer, and a verbal phoneme sound generator.
| 0.580943 |
9,430,577 | 16 | 17 |
16. The method of claim 11 , wherein the verifying comprises at least one of: determining that redirection occurred to a new domain with an IP address associated with a known spammer, determining that link-query results include one or more forums associated with spammers, determining that a page uses scripting on-off cloaking to achieve crawler-browser cloaking, determining that a page uses click-through cloaking, determining that a page is an ads portal that forwards ads click-through traffic to a known spam-traffic aggregator domain, determining that a page is hosted on a known spam heavy domain, determining that characteristics of an image matches characteristics of an image of a known spammer, and determining that a script matches a script of a known spammer.
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16. The method of claim 11 , wherein the verifying comprises at least one of: determining that redirection occurred to a new domain with an IP address associated with a known spammer, determining that link-query results include one or more forums associated with spammers, determining that a page uses scripting on-off cloaking to achieve crawler-browser cloaking, determining that a page uses click-through cloaking, determining that a page is an ads portal that forwards ads click-through traffic to a known spam-traffic aggregator domain, determining that a page is hosted on a known spam heavy domain, determining that characteristics of an image matches characteristics of an image of a known spammer, and determining that a script matches a script of a known spammer. 17. The method of claim 16 , further comprising generating at least one of a list of domains ranked based on a number of unique confirmed spam URLs hosted, a list of domains ranked based on a number of spam appearances in search results, and a list of domains ranked based on spam percentages.
| 0.5 |
4,005,388 | 14 | 15 |
14. An interactive terminal, for communication with external data processing means, comprising: A. an alpha-numeric display for visually presenting data received and transmitted; B. a data memory communicating with said display for storage of at least a portion of information received; C. an information entry keyboard operable by the user's first hand wherein each of a plurality of said keys represents the transmission of "n" different information levels, "n" being an integer greater than one; D. at least "n-1" shift level control keys simultaneously operable by the user's second hand for selecting the desired information level for transmission of all "n" information levels; E. information transmission means communicating with said keyboard and said shift level control keys for transmitting selected keyboard information to at least said external data processing means; F. information receiving means communicating with said external data processing means and said data memory for receiving of information; G. scroll switching means communicating with said memory for presenting on said display data held in said memory; H. a housing having: 1. a front face dimensioned for mounting said display and said information entry keyboard, 2. a first side dimensioned for mounting said shift level control keys so as to be operable by the fingers of the user's second hand, 3. a second side dimensioned for mounting said scroll switching means so as to be operable by the thumb of the user's second hand, and 4. an interior space dimensioned for containing said data memory, information transmission means, and information receiving means; whereby the fingers of the user's second hand select desired shift level control keys and the user's first hand selects desired keys of the information keyboard and the thumb of the user's second hand operates the scroll switching means.
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14. An interactive terminal, for communication with external data processing means, comprising: A. an alpha-numeric display for visually presenting data received and transmitted; B. a data memory communicating with said display for storage of at least a portion of information received; C. an information entry keyboard operable by the user's first hand wherein each of a plurality of said keys represents the transmission of "n" different information levels, "n" being an integer greater than one; D. at least "n-1" shift level control keys simultaneously operable by the user's second hand for selecting the desired information level for transmission of all "n" information levels; E. information transmission means communicating with said keyboard and said shift level control keys for transmitting selected keyboard information to at least said external data processing means; F. information receiving means communicating with said external data processing means and said data memory for receiving of information; G. scroll switching means communicating with said memory for presenting on said display data held in said memory; H. a housing having: 1. a front face dimensioned for mounting said display and said information entry keyboard, 2. a first side dimensioned for mounting said shift level control keys so as to be operable by the fingers of the user's second hand, 3. a second side dimensioned for mounting said scroll switching means so as to be operable by the thumb of the user's second hand, and 4. an interior space dimensioned for containing said data memory, information transmission means, and information receiving means; whereby the fingers of the user's second hand select desired shift level control keys and the user's first hand selects desired keys of the information keyboard and the thumb of the user's second hand operates the scroll switching means. 15. An interactive terminal as defined in claim 14, wherein the plurality of keys of said information entry keyboard represent four different information levels and these four information levels are selectable by three shift level control keys.
| 0.625767 |
5,495,605 | 9 | 12 |
9. The tool of claim 8, wherein said syntactical graph has nodes and said second set of information further includes types of said respective nodes of the syntactical graph, and said means for performing a syntactical analysis comprises means for analyzing operation of the RDBMS to determine said types.
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9. The tool of claim 8, wherein said syntactical graph has nodes and said second set of information further includes types of said respective nodes of the syntactical graph, and said means for performing a syntactical analysis comprises means for analyzing operation of the RDBMS to determine said types. 12. The tool of claim 9, wherein said second set of information further comprises information associated with said types.
| 0.752049 |
9,384,264 | 1 | 18 |
1. A computer system to extract contender values as positively associated with a pre-defined value from a compilation of one or more electronically stored documents, the system comprising: one or more computer readable storage devices configured to store one or more software modules including computer executable instructions, and the compilation, wherein the electronically stored documents comprise one or more semi-structured document(s), one or more unstructured document(s), or a combination thereof, and each of the one or more electronically stored documents comprises one or more pages; a network configured to distribute information to a user workstation; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the one or more software modules in order to cause the computer system to access, from the one or more computer readable storage devices, the compilation; receive information regarding the pre-defined value, wherein the pre-defined value has a certain format, has a certain two-dimensional spatial relationship to words in a pre-selected page, and is associated with one or more keywords; for each page of the compilation, identify words and contender values on the page using optical character recognition (OCR) and post-OCR processing, and group the identified words and the identified contender values into anchor blocks based on their spatial positioning on the page, such that the page comprises a plurality of anchor blocks and each anchor block comprises one or more words, one contender value, or a combination thereof; on the page, for each of the contender values, numerically determine a first confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of a calculated two-dimensional spatial relationship between the contender value and the anchor blocks on the page with the pre-defined two-dimensional spatial relationship between the pre-defined value and the words in the pre-selected page, numerically determine a second confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of words in the anchor blocks on the page with the one or more keywords associated with the pre-defined value, and numerically determine a third confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of a format of the contender value with the certain format of the pre-defined value; over all the pages of the compilation, extract positive contender values as positively associated with the pre-defined value based at least in part on the first confidence, the second confidence, and the third confidence; store the positive contender values in the one or more computer readable storage devices; and transmit the positive contender values over the network to the user workstation in response to a search for values associated with the pre-defined value at the user workstation.
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1. A computer system to extract contender values as positively associated with a pre-defined value from a compilation of one or more electronically stored documents, the system comprising: one or more computer readable storage devices configured to store one or more software modules including computer executable instructions, and the compilation, wherein the electronically stored documents comprise one or more semi-structured document(s), one or more unstructured document(s), or a combination thereof, and each of the one or more electronically stored documents comprises one or more pages; a network configured to distribute information to a user workstation; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the one or more software modules in order to cause the computer system to access, from the one or more computer readable storage devices, the compilation; receive information regarding the pre-defined value, wherein the pre-defined value has a certain format, has a certain two-dimensional spatial relationship to words in a pre-selected page, and is associated with one or more keywords; for each page of the compilation, identify words and contender values on the page using optical character recognition (OCR) and post-OCR processing, and group the identified words and the identified contender values into anchor blocks based on their spatial positioning on the page, such that the page comprises a plurality of anchor blocks and each anchor block comprises one or more words, one contender value, or a combination thereof; on the page, for each of the contender values, numerically determine a first confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of a calculated two-dimensional spatial relationship between the contender value and the anchor blocks on the page with the pre-defined two-dimensional spatial relationship between the pre-defined value and the words in the pre-selected page, numerically determine a second confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of words in the anchor blocks on the page with the one or more keywords associated with the pre-defined value, and numerically determine a third confidence that the contender value is associated with the pre-defined value based at least in part on a comparison of a format of the contender value with the certain format of the pre-defined value; over all the pages of the compilation, extract positive contender values as positively associated with the pre-defined value based at least in part on the first confidence, the second confidence, and the third confidence; store the positive contender values in the one or more computer readable storage devices; and transmit the positive contender values over the network to the user workstation in response to a search for values associated with the pre-defined value at the user workstation. 18. The system of claim 1 , wherein, when the pre-defined value is an address or a portion thereof, the system further comprises a network connection configured to access a geolocation library, and wherein numerically determining the third confidence that the contender value is associated with the pre-defined value is based at least in part on a validation of the contender value against the geolocation library.
| 0.802103 |
8,051,073 | 34 | 35 |
34. The system according to claim 30 , wherein the analysis engine is further adapted to generate at least one additional candidate set.
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34. The system according to claim 30 , wherein the analysis engine is further adapted to generate at least one additional candidate set. 35. The system according to claim 34 , wherein the analysis engine is further adapted to modify a query against the collection of information.
| 0.714859 |
7,478,100 | 1 | 10 |
1. A method for storing unstructured XML data into a relational database, comprising: assigning a document identifier to an XML document; parsing the XML document to identify a node; for the identified node in the XML document: storing a path string for the node in a volatile or non-volatile computer usable storage medium, wherein the path string comprises a full path for the node from a root node of the XML document; storing hierarchical information for the node in the volatile or non-volatile computer usable storage medium; and storing node data for the node in the volatile or non-volatile computer usable storage medium.
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1. A method for storing unstructured XML data into a relational database, comprising: assigning a document identifier to an XML document; parsing the XML document to identify a node; for the identified node in the XML document: storing a path string for the node in a volatile or non-volatile computer usable storage medium, wherein the path string comprises a full path for the node from a root node of the XML document; storing hierarchical information for the node in the volatile or non-volatile computer usable storage medium; and storing node data for the node in the volatile or non-volatile computer usable storage medium. 10. The method of claim 1 further comprising: maintaining one or more indexes.
| 0.669492 |
8,881,015 | 11 | 13 |
11. A multifunction peripheral (MFP) system comprising: a document device for capturing electronic versions of a document; a document storage, coupled to the document device, configured to store electronic versions of the document; a user interface module, coupled to the document storage, configured to select a document selected from previously stored document; a job management module, coupled to the document storage, configured to: determine whether to capture the document or to transmit the document selected from previously stored documents, determine an availability of meeting information, workflow information, or a combination thereof for providing a list of participants associated with the meeting information, the workflow information, or a combination thereof, and an e-mail handling module, coupled to the job management module, configured to automatically transmit the document based on the availability for distributing the document to a workspace associated with an event, a task, or a combination thereof and an e-mail including an approver from an approver line of the task as a recipient, the document delivered to the participants for approving the document.
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11. A multifunction peripheral (MFP) system comprising: a document device for capturing electronic versions of a document; a document storage, coupled to the document device, configured to store electronic versions of the document; a user interface module, coupled to the document storage, configured to select a document selected from previously stored document; a job management module, coupled to the document storage, configured to: determine whether to capture the document or to transmit the document selected from previously stored documents, determine an availability of meeting information, workflow information, or a combination thereof for providing a list of participants associated with the meeting information, the workflow information, or a combination thereof, and an e-mail handling module, coupled to the job management module, configured to automatically transmit the document based on the availability for distributing the document to a workspace associated with an event, a task, or a combination thereof and an e-mail including an approver from an approver line of the task as a recipient, the document delivered to the participants for approving the document. 13. The system of claim 11 , further comprising: a workflow access module, coupled to the job management module, configured to receive task information with the participants who have to approve the document; and wherein: the e-mail handling module is configured to deliver the electronic version of the document to all of the participants who have to approve the document.
| 0.5 |
8,046,225 | 1 | 2 |
1. A prosody-pattern generating apparatus comprising: an initial-prosody-pattern generating unit that generates an initial prosody pattern based on language information and a prosody model which is obtained by modeling prosody information in units of phonemes, syllables and words that constitute speech data; a normalization-parameter generating unit that generates, as normalization parameters, mean values and standard deviations of the initial prosody pattern and a prosody pattern of a training sentence included in a speech corpus, respectively; a normalization-parameter storing unit that stores the normalization parameters; and a prosody-pattern normalizing unit that normalizes a variance range or a variance width of the initial prosody pattern, bringing the variance range or the variance width of the initial prosody pattern to the same level as a variance range or a variance width of the prosody pattern of the training sentence in the speech corpus in accordance with the normalization parameters.
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1. A prosody-pattern generating apparatus comprising: an initial-prosody-pattern generating unit that generates an initial prosody pattern based on language information and a prosody model which is obtained by modeling prosody information in units of phonemes, syllables and words that constitute speech data; a normalization-parameter generating unit that generates, as normalization parameters, mean values and standard deviations of the initial prosody pattern and a prosody pattern of a training sentence included in a speech corpus, respectively; a normalization-parameter storing unit that stores the normalization parameters; and a prosody-pattern normalizing unit that normalizes a variance range or a variance width of the initial prosody pattern, bringing the variance range or the variance width of the initial prosody pattern to the same level as a variance range or a variance width of the prosody pattern of the training sentence in the speech corpus in accordance with the normalization parameters. 2. The apparatus according to claim 1 , wherein the normalization parameters generated by the normalization-parameter generating unit have different values for units of phonemes, syllables and words that constitute speech data.
| 0.5 |
9,552,412 | 1 | 11 |
1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query.
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1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. 11. The method of claim 1 , comprising: after selecting the broadening terms pre-processing candidate search results for a refined query based on one of the broadening terms before the one of the broadening terms is selected by the user.
| 0.885948 |
9,417,709 | 11 | 18 |
11. A method for implementing sliding input of a text based upon an on-screen soft keyboard on an electronic equipment having a memory device and a processor, characterized in that, said method comprises the following steps: recording user-sliding trajectories; converting the recorded user-sliding trajectories into a user-sliding trajectory feature set to be processed; filtering in the memory device and originally choosing the words, wherein each of the originally chosen words has similar ideal sliding trajectory features with the user-sliding trajectory feature set; calculating a similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set according to key points on said trajectory, characterized in that, calculating said similarity including the following steps: calculating a rough similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set; calculating an accurate similarity between the ideal sliding trajectory features of each word obtained from the rough similarity calculation result and said user-sliding trajectory features set; wherein calculating said accurate similarity including calculating an accurate linear matching distance between the ideal sliding trajectory feature of each word obtained from the rough similarity calculation result and said user-sliding trajectory feature set; obtaining candidate words according to the similarity, wherein the ideal sliding trajectory of each candidate word contains at least one of the key points or at least one of the surrounding points of at least one of the key points on said user-sliding trajectory; feedbacking the candidate words.
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11. A method for implementing sliding input of a text based upon an on-screen soft keyboard on an electronic equipment having a memory device and a processor, characterized in that, said method comprises the following steps: recording user-sliding trajectories; converting the recorded user-sliding trajectories into a user-sliding trajectory feature set to be processed; filtering in the memory device and originally choosing the words, wherein each of the originally chosen words has similar ideal sliding trajectory features with the user-sliding trajectory feature set; calculating a similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set according to key points on said trajectory, characterized in that, calculating said similarity including the following steps: calculating a rough similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set; calculating an accurate similarity between the ideal sliding trajectory features of each word obtained from the rough similarity calculation result and said user-sliding trajectory features set; wherein calculating said accurate similarity including calculating an accurate linear matching distance between the ideal sliding trajectory feature of each word obtained from the rough similarity calculation result and said user-sliding trajectory feature set; obtaining candidate words according to the similarity, wherein the ideal sliding trajectory of each candidate word contains at least one of the key points or at least one of the surrounding points of at least one of the key points on said user-sliding trajectory; feedbacking the candidate words. 18. The method according to claim 11 , characterized in that, said step of filtering in the memory device and originally choosing the words includes a substep of calculating a rough matching degree between words stored in said memory device according to the ideal sliding trajectory features and said user-sliding trajectory features set.
| 0.705575 |
8,042,065 | 1 | 4 |
1. A computer readable storage medium comprising computer executable instructions configured to perform a method comprising: receiving a first graphical diagram comprising a set of relationship rules that describe an acceptable relationship type and a first relationship of said acceptable relationship type defined between a first object and a second object; receiving user input comprising a command to copy a third object and a selection for said first object; pasting said third object into said first graphical diagram to create a fourth object responsive to receiving said command and said selection, wherein said pasting comprises, with no further user input: dissolving said first relationship between said first object and said second object; referencing said set of relationship rules to establish a second relationship of said acceptable relationship type between said first object and said fourth object; referencing said set of relationship rules to establish a third relationship of said acceptable relationship type between said fourth object and said second object; and inserting a text item corresponding to the third object into a data view that includes text items corresponding to said first object and said second object, wherein said inserting said text item comprises displaying said inserted text item, said text item corresponding to said first object and said text item corresponding to said second object in said data view in a manner that visually indicates in said data view said establishment of said second relationship of said acceptable relationship type between said first object and said fourth object and said establishment of said third relationship of said acceptable relationship type between said fourth object and said second object.
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1. A computer readable storage medium comprising computer executable instructions configured to perform a method comprising: receiving a first graphical diagram comprising a set of relationship rules that describe an acceptable relationship type and a first relationship of said acceptable relationship type defined between a first object and a second object; receiving user input comprising a command to copy a third object and a selection for said first object; pasting said third object into said first graphical diagram to create a fourth object responsive to receiving said command and said selection, wherein said pasting comprises, with no further user input: dissolving said first relationship between said first object and said second object; referencing said set of relationship rules to establish a second relationship of said acceptable relationship type between said first object and said fourth object; referencing said set of relationship rules to establish a third relationship of said acceptable relationship type between said fourth object and said second object; and inserting a text item corresponding to the third object into a data view that includes text items corresponding to said first object and said second object, wherein said inserting said text item comprises displaying said inserted text item, said text item corresponding to said first object and said text item corresponding to said second object in said data view in a manner that visually indicates in said data view said establishment of said second relationship of said acceptable relationship type between said first object and said fourth object and said establishment of said third relationship of said acceptable relationship type between said fourth object and said second object. 4. The computer readable storage medium of claim 1 , said third object comprising text.
| 0.843525 |
7,844,563 | 18 | 20 |
18. The system of claim 13 , wherein the representation is a di-graph.
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18. The system of claim 13 , wherein the representation is a di-graph. 20. The system of claim 18 , wherein the di-graph includes arcs where each arc represents the cause interaction and the effect interaction.
| 0.527211 |
9,087,507 | 1 | 3 |
1. A computer-implemented method for aurally scrolling an information source, comprising: analyzing an information source; wherein the information source comprises a plurality of markup tags; wherein analyzing the information source comprises using the plurality of markup tags to identify a plurality of segments of the information source from which to derive corresponding marker texts; generating and storing, separate from the information source, a set of a plurality of marker texts based at least on the analyzing of the information source including generating each marker text in the set of marker texts based at least on an analysis of a corresponding segment, of the plurality of identified segments, of the information source; wherein the analysis of a particular segment, of the plurality of identified segments, corresponding to a particular marker text of the set of marker texts comprises applying a summarization technique to the particular segment to derive the particular marker text; wherein the analysis of the particular segment comprises determining a significance of the particular segment based at least in part on a relative amount of text content of the particular segment; generating and storing data that comprises, for each marker text in the set of marker texts, an association between the marker text and a location within the information source, the location corresponding to the segment of the information source that corresponds to the marker text; arranging the plurality of marker texts in a sequence, the particular marker text having an order in the sequence; wherein the order of the particular marker text in the sequence is dependent on the determined significance of the particular segment that was determined based at least in part on the relative amount of text content of the particular segment; initiating an aural presentation of the sequence, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the sequence; during the aural presentation of the sequence, receiving input while the particular marker text of the set of marker texts is being aurally presented; and in response to the input: ceasing the aural presentation of the particular marker text; inspecting the data to identify the location associated with the particular marker text; and initiating an aural presentation of the information source at the location associated with the particular marker text, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the information source; wherein the method is performed by one or more computing devices.
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1. A computer-implemented method for aurally scrolling an information source, comprising: analyzing an information source; wherein the information source comprises a plurality of markup tags; wherein analyzing the information source comprises using the plurality of markup tags to identify a plurality of segments of the information source from which to derive corresponding marker texts; generating and storing, separate from the information source, a set of a plurality of marker texts based at least on the analyzing of the information source including generating each marker text in the set of marker texts based at least on an analysis of a corresponding segment, of the plurality of identified segments, of the information source; wherein the analysis of a particular segment, of the plurality of identified segments, corresponding to a particular marker text of the set of marker texts comprises applying a summarization technique to the particular segment to derive the particular marker text; wherein the analysis of the particular segment comprises determining a significance of the particular segment based at least in part on a relative amount of text content of the particular segment; generating and storing data that comprises, for each marker text in the set of marker texts, an association between the marker text and a location within the information source, the location corresponding to the segment of the information source that corresponds to the marker text; arranging the plurality of marker texts in a sequence, the particular marker text having an order in the sequence; wherein the order of the particular marker text in the sequence is dependent on the determined significance of the particular segment that was determined based at least in part on the relative amount of text content of the particular segment; initiating an aural presentation of the sequence, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the sequence; during the aural presentation of the sequence, receiving input while the particular marker text of the set of marker texts is being aurally presented; and in response to the input: ceasing the aural presentation of the particular marker text; inspecting the data to identify the location associated with the particular marker text; and initiating an aural presentation of the information source at the location associated with the particular marker text, the aural presentation comprising computerized text-to-speech synthesis of at least a portion of the information source; wherein the method is performed by one or more computing devices. 3. The computer-implemented method as recited in claim 1 , wherein the sequence corresponds to the sequential order of the associated locations within the information source.
| 0.904185 |
7,664,775 | 3 | 8 |
3. A machine-implemented method for retrieving multimedia information, comprising: providing a textual search entry path configured to enable entry of one or more terms to search for in at least a portion of textual information stored on a computer-readable storage medium, wherein the textual search entry path is operable to access a stem index including a plurality of stems that are each associated with textual information and one or more related stems, the stems being concatenated in order to map each stem to other stems and to textual information that express a similar idea; and searching the textual information using the stem index for textual information that closely resembles a search inquiry comprising one or more terms entered in the textual search entry path.
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3. A machine-implemented method for retrieving multimedia information, comprising: providing a textual search entry path configured to enable entry of one or more terms to search for in at least a portion of textual information stored on a computer-readable storage medium, wherein the textual search entry path is operable to access a stem index including a plurality of stems that are each associated with textual information and one or more related stems, the stems being concatenated in order to map each stem to other stems and to textual information that express a similar idea; and searching the textual information using the stem index for textual information that closely resembles a search inquiry comprising one or more terms entered in the textual search entry path. 8. The method of claim 3 , further comprising ordering a plurality of results of the search for textual information in order of relevance to the search inquiry.
| 0.746032 |
8,595,222 | 1 | 8 |
1. A computer-implemented method of using Resource Description Framework (RDF) reification to associate Semantic Web statements with start properties and stop properties related to lifetimes of the Semantic Web statements using a reification processor, comprising: accessing an RDF statement from a Semantic Web resource wherein the RDF statement includes a subject, a predicate, and an object; determining a lifetime of the subject of the RDF statement, wherein determining the lifetime of the subject is based on at least one of a start property of the subject and a stop property of the subject; determining a lifetime of the predicate of the RDF statement, wherein determining the lifetime of the predicate is based on at least one of a start property of the predicate and a stop property the predicate; determining a lifetime of the object of the RDF statement, wherein determining the lifetime of the object is based on at least one of a start property of the object and a stop property of the object; automatically determining a lifetime of the RDF statement based on an overlap of the lifetime of the subject, the lifetime of the predicate, and the lifetime of the object; generating a reified RDF statement, using the reification processor, wherein the reified RDF statement includes the subject, the predicate, the object and the lifetime of the RDF statement; and storing the reified RDF statement in the Semantic Web resource.
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1. A computer-implemented method of using Resource Description Framework (RDF) reification to associate Semantic Web statements with start properties and stop properties related to lifetimes of the Semantic Web statements using a reification processor, comprising: accessing an RDF statement from a Semantic Web resource wherein the RDF statement includes a subject, a predicate, and an object; determining a lifetime of the subject of the RDF statement, wherein determining the lifetime of the subject is based on at least one of a start property of the subject and a stop property of the subject; determining a lifetime of the predicate of the RDF statement, wherein determining the lifetime of the predicate is based on at least one of a start property of the predicate and a stop property the predicate; determining a lifetime of the object of the RDF statement, wherein determining the lifetime of the object is based on at least one of a start property of the object and a stop property of the object; automatically determining a lifetime of the RDF statement based on an overlap of the lifetime of the subject, the lifetime of the predicate, and the lifetime of the object; generating a reified RDF statement, using the reification processor, wherein the reified RDF statement includes the subject, the predicate, the object and the lifetime of the RDF statement; and storing the reified RDF statement in the Semantic Web resource. 8. The method of claim 1 , wherein the lifetime of the RDF statement includes at least one of an open-ended start property and an open-ended stop property.
| 0.815914 |
8,370,126 | 1 | 10 |
1. A computer implemented method comprising: translating an abstract phrase from a first language to a second language; receiving the translated abstract phrase comprising a text phrase and a variable at a particular position in the text phrase; receiving a text value for the variable; combining the text phrase of the abstract phrase and the text value according to the particular position of the variable; applying, by a computer system, an integration rule at a boundary of the text phrase of the abstract phrase and the text value to produce an integrated phrase, the integration rule based on a language rule for the second language, wherein the integration rule modifies a portion of the text phrase of the abstract phrase or a portion of the text value.
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1. A computer implemented method comprising: translating an abstract phrase from a first language to a second language; receiving the translated abstract phrase comprising a text phrase and a variable at a particular position in the text phrase; receiving a text value for the variable; combining the text phrase of the abstract phrase and the text value according to the particular position of the variable; applying, by a computer system, an integration rule at a boundary of the text phrase of the abstract phrase and the text value to produce an integrated phrase, the integration rule based on a language rule for the second language, wherein the integration rule modifies a portion of the text phrase of the abstract phrase or a portion of the text value. 10. The method of claim 1 , wherein multiple rules are applied, and wherein a subsequent rule is applied to text modified by a previously applied rule.
| 0.906675 |
7,587,319 | 51 | 53 |
51. A speech recognition circuit according to claim 50 , a including language model processor providing a language model output for modifying the processing results at a word recognition event by a said processor.
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51. A speech recognition circuit according to claim 50 , a including language model processor providing a language model output for modifying the processing results at a word recognition event by a said processor. 53. A speech recognition circuit according to claim 51 , wherein each processor determines and outputs scores for words in the processing results at word recognition events.
| 0.680812 |
8,756,210 | 25 | 36 |
25. A non-transitory computer-readable medium encoded with a computer program comprising commands that, when executed, operate to cause one or more computers to perform operations comprising: providing, to a client device, information for presenting a search engine user interface for a third party content provider; receiving, from the client device, a search query entered using the search engine user interface; processing the search query to determine a context identifier for a context file; retrieving a context file from the third party content provider identified by the context identifier; modifying the search query using one or more commands to produce a context processed search query, wherein the one or more commands are contained in the context file; providing the context processed search query to a search engine; obtaining, from the search engine, context processed search results responsive to the context processed search query; and providing the context processed search results to the client device.
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25. A non-transitory computer-readable medium encoded with a computer program comprising commands that, when executed, operate to cause one or more computers to perform operations comprising: providing, to a client device, information for presenting a search engine user interface for a third party content provider; receiving, from the client device, a search query entered using the search engine user interface; processing the search query to determine a context identifier for a context file; retrieving a context file from the third party content provider identified by the context identifier; modifying the search query using one or more commands to produce a context processed search query, wherein the one or more commands are contained in the context file; providing the context processed search query to a search engine; obtaining, from the search engine, context processed search results responsive to the context processed search query; and providing the context processed search results to the client device. 36. The non-transitory computer-readable medium of claim 25 , further comprising obtaining the context file from the client device or the search engine.
| 0.75873 |
9,600,628 | 1 | 7 |
1. A method comprising using at least one hardware processor for: receiving a medical image; applying a mapping function to the medical image, wherein the mapping function is an SVM (Support Vector Machine) mapping function trained on a training set of medical images using a CRF (Conditional Random Field) model of the relationships between multiple received semantic descriptions of multiple medical findings in the training set; generating a semantic description of a visual finding in the medical image based on the application of the mapping function; and storing the medical image in association with the generated semantic description.
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1. A method comprising using at least one hardware processor for: receiving a medical image; applying a mapping function to the medical image, wherein the mapping function is an SVM (Support Vector Machine) mapping function trained on a training set of medical images using a CRF (Conditional Random Field) model of the relationships between multiple received semantic descriptions of multiple medical findings in the training set; generating a semantic description of a visual finding in the medical image based on the application of the mapping function; and storing the medical image in association with the generated semantic description. 7. The method according to claim 1 , wherein the visual finding comprises an image feature associated with a portion of the medical image.
| 0.780952 |
8,635,201 | 9 | 10 |
9. At least one computer, comprising: at least one hardware processor; and at least one memory storing processor-executable instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to: receive a query from a device and location data indicating a location of the device, the location data having a level of specificity; in response to the query being received, identify at least one first search engine to which to submit a representation of the query and information indicating the location of the device; determine whether the level of specificity of the received location data is sufficient for the at least one first search engine; when the level of specificity of the location data is sufficient, instruct the device to issue the representation of the query to the at least one first search engine; and when the level of specificity of the location data is not sufficient, instruct the device to send, to the at least one computer, location data at a greater level of specificity, wherein the determining comprises determining that the level of specificity of the received location data is not sufficient for the at least one first search engine, and wherein the at least one hardware processor is programmed to receive the location data at the greater level of specificity and to instruct the device to submit a representation of the query and information specifying the location of the device at the greater level of specificity to the at least one first search engine.
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9. At least one computer, comprising: at least one hardware processor; and at least one memory storing processor-executable instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to: receive a query from a device and location data indicating a location of the device, the location data having a level of specificity; in response to the query being received, identify at least one first search engine to which to submit a representation of the query and information indicating the location of the device; determine whether the level of specificity of the received location data is sufficient for the at least one first search engine; when the level of specificity of the location data is sufficient, instruct the device to issue the representation of the query to the at least one first search engine; and when the level of specificity of the location data is not sufficient, instruct the device to send, to the at least one computer, location data at a greater level of specificity, wherein the determining comprises determining that the level of specificity of the received location data is not sufficient for the at least one first search engine, and wherein the at least one hardware processor is programmed to receive the location data at the greater level of specificity and to instruct the device to submit a representation of the query and information specifying the location of the device at the greater level of specificity to the at least one first search engine. 10. The at least one computer of claim 9 , wherein the at least one first search engine comprises a site-specific search engine.
| 0.648352 |
8,949,782 | 1 | 5 |
1. A computerized device, comprising: a display adapter; and a data processing hardware element, wherein the data processing hardware element implements a timeline view module to provide output via the display adapter to display a timeline of an application that includes activity that occurs over time during execution of the application, the timeline comprising a plurality of tracks and a plurality of cells, each track providing a temporal view of a respective media component of the application by populating a plurality of cells extending in a first direction in the timeline, wherein the tracks are adjacent in a second direction in the timeline so that cells adjacent in the second direction correspond to activity that occurs at the same time, wherein the plurality of tracks comprise a track corresponding to a plurality of media components of the application, a scripting track providing a temporal view of scripting components of the application, and a label track, the scripting track comprising an action element representing a portion of scripting code defining a series of discrete operations to be performed at a particular time or keyframe by the application, the particular time or keyframe identified by a position of the action element on the timeline, the label track including a label associated with the keyframe of the timeline, the data processing hardware element configured to receive a selection of a cell of the timeline to define or edit the label to be associated with a selected keyframe of the timeline, wherein the label is used by the scripting code.
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1. A computerized device, comprising: a display adapter; and a data processing hardware element, wherein the data processing hardware element implements a timeline view module to provide output via the display adapter to display a timeline of an application that includes activity that occurs over time during execution of the application, the timeline comprising a plurality of tracks and a plurality of cells, each track providing a temporal view of a respective media component of the application by populating a plurality of cells extending in a first direction in the timeline, wherein the tracks are adjacent in a second direction in the timeline so that cells adjacent in the second direction correspond to activity that occurs at the same time, wherein the plurality of tracks comprise a track corresponding to a plurality of media components of the application, a scripting track providing a temporal view of scripting components of the application, and a label track, the scripting track comprising an action element representing a portion of scripting code defining a series of discrete operations to be performed at a particular time or keyframe by the application, the particular time or keyframe identified by a position of the action element on the timeline, the label track including a label associated with the keyframe of the timeline, the data processing hardware element configured to receive a selection of a cell of the timeline to define or edit the label to be associated with a selected keyframe of the timeline, wherein the label is used by the scripting code. 5. The computerized device of claim 1 , wherein the timeline view module provides an editing interface in response to selection of an element in the scripting track or in response to selection of the scripting track, the editing interface configured to receive input editing a scripting component of the application.
| 0.5 |
8,368,738 | 7 | 12 |
7. A computer-implemented communications system, comprising: an invite component for receiving an invitation for an invitee to participate in a conferencing session, the invitation received via one or more communications modes that include text messaging, interactive voice call, email, SMS, or MMS; a join component for detecting whether the conferencing session exists and if so, automatically joining the invitee into the conferencing session in response to the invitation, the invitee joined using a conferencing method that corresponds to the conferencing session; and a microprocessor that executes computer-executable instructions associated with at least one of the invite component or the join component.
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7. A computer-implemented communications system, comprising: an invite component for receiving an invitation for an invitee to participate in a conferencing session, the invitation received via one or more communications modes that include text messaging, interactive voice call, email, SMS, or MMS; a join component for detecting whether the conferencing session exists and if so, automatically joining the invitee into the conferencing session in response to the invitation, the invitee joined using a conferencing method that corresponds to the conferencing session; and a microprocessor that executes computer-executable instructions associated with at least one of the invite component or the join component. 12. The system of claim 7 , wherein the invite component invites a session organizer into the session, and the join component joins the organizer into the session.
| 0.539548 |
8,981,941 | 1 | 9 |
1. An information processing apparatus comprising: circuitry configured to extract a predetermined matter from text information; identify one or multiple action patterns associated with the predetermined matter; extract each of the one or multiple action patterns from sensor information; and generate state information indicating a state related to the predetermined matter, based on each of the one or multiple action patterns extracted from the sensor information, using a contribution level indicating a degree of contribution of each of the one or multiple action patterns to the predetermined matter, for a combination of the predetermined matter and each of the one or multiple action patterns associated with the predetermined matter.
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1. An information processing apparatus comprising: circuitry configured to extract a predetermined matter from text information; identify one or multiple action patterns associated with the predetermined matter; extract each of the one or multiple action patterns from sensor information; and generate state information indicating a state related to the predetermined matter, based on each of the one or multiple action patterns extracted from the sensor information, using a contribution level indicating a degree of contribution of each of the one or multiple action patterns to the predetermined matter, for a combination of the predetermined matter and each of the one or multiple action patterns associated with the predetermined matter. 9. The information processing apparatus according to claim 1 , wherein the circuitry is configured to acquire the sensor information detected by a sensor mounted on a terminal apparatus attached to a mobile object, receive the text information input by a user who manages the mobile object, extract the predetermined matter from the acquired text information, and extract the one or multiple action patterns from the acquired sensor information.
| 0.700941 |
7,478,142 | 1 | 5 |
1. A method for executing an application, the method comprising: loading a first package within a browser on a local client computer, the first package including a first manifest and a first archive of files that includes instructions and content needed to execute an application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; in response to loading the first package within the browser, automatically accessing the first manifest; locating the initial file identifier in the first manifest; based on the located initial file identifier, accessing the instructions for initiating the execution of the application from the initial file; processing the accessed instructions from the initial file; and automatically initiating execution of the application based on the processed instructions.
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1. A method for executing an application, the method comprising: loading a first package within a browser on a local client computer, the first package including a first manifest and a first archive of files that includes instructions and content needed to execute an application, the first archive of files including: an initial file that includes instructions for initiating execution of the application, the initial file being a markup language file, other files needed to execute the application, and a second package that includes a second manifest and a second archive of files, the second package being of the same type as the first package, and the second archive of files being of the same type of file structure as the first archive of files; the first manifest including an initial file identifier that indicates that the initial file is to be processed before the other files in the first archive of files when the application is executed; in response to loading the first package within the browser, automatically accessing the first manifest; locating the initial file identifier in the first manifest; based on the located initial file identifier, accessing the instructions for initiating the execution of the application from the initial file; processing the accessed instructions from the initial file; and automatically initiating execution of the application based on the processed instructions. 5. The method of claim 1 , wherein the instructions for initiating execution of the application from the initial file include instructions to process additional instructions from one or more of the other files in the first archive, the method further comprising: accessing the additional instructions from the one or more other files; and processing the additional instructions, the accessing and processing of the additional instructions being performed in response to processing the instructions for initiating execution of the application from the initial file.
| 0.5 |
8,381,306 | 1 | 17 |
1. A method comprising: providing in a computer, a role based access control (RBAC) store, the RBAC store defining at least one scope wherein each scope represents a set of resources in a networked computing environment; providing in the RBAC store, at least one role definition and at least one role assignment; defining in the RBAC store, based at least in part on the at least one role definition and the at least one role assignment, at least one enterprise role, each enterprise role including a set of permissions that are assigned to principals in a given scope; and using the RBAC store for translating the at least one scope, the at least one enterprise role and at least one resource group representing a role based access control (RBAC) policy to a resource authorization policy model, the RBAC policy mappable to at least one access control list (ACL) in the networked computing environment for configuring an underlying resource authorization policy.
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1. A method comprising: providing in a computer, a role based access control (RBAC) store, the RBAC store defining at least one scope wherein each scope represents a set of resources in a networked computing environment; providing in the RBAC store, at least one role definition and at least one role assignment; defining in the RBAC store, based at least in part on the at least one role definition and the at least one role assignment, at least one enterprise role, each enterprise role including a set of permissions that are assigned to principals in a given scope; and using the RBAC store for translating the at least one scope, the at least one enterprise role and at least one resource group representing a role based access control (RBAC) policy to a resource authorization policy model, the RBAC policy mappable to at least one access control list (ACL) in the networked computing environment for configuring an underlying resource authorization policy. 17. The method of claim 1 , wherein the set of resources is identifiable by a security identifier and an access mask, and further wherein at least one of the security identifier or the access mask is incorporated into at least one of the scope or the role definition provided in the RBAC store.
| 0.573913 |
9,626,703 | 31 | 32 |
31. The method of claim 1 , the method further comprising: identifying, by the computer system, a recipient of the product or service based on the one or more words or phrases, and wherein obtaining the shipping information comprises: obtaining, by the computer system, an address of the recipient.
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31. The method of claim 1 , the method further comprising: identifying, by the computer system, a recipient of the product or service based on the one or more words or phrases, and wherein obtaining the shipping information comprises: obtaining, by the computer system, an address of the recipient. 32. The method of claim 31 , wherein identifying the recipient comprises: associating, by the computer system, at least one word, other than a name of the recipient, from among the one or more words or phrases, that identifies the recipient.
| 0.5 |
9,304,987 | 1 | 3 |
1. A content creation support apparatus, comprising: a processor, programmed to perform a speech synthesis on a first text including an original string to generate a synthesized speech of the first text; perform a speech recognition on the synthesized speech to obtain a second text including a recognized string resulting from the speech recognition; extract feature values by performing a morphological analysis on each of the first text and the second text, the feature values each including one of pronunciations of the original string and the recognized string; obtain a first difference string and a second difference string by extracting a difference between the first text and the second text, and to compare a first feature value that indicates one of the feature values corresponding to the first difference string and a second feature value that indicates one of the feature values corresponding to the second difference string, the first difference string that is a string in the first text including a difference from the second text, the second difference string that is a string in the second text including a difference from the first text; present one or more correction candidates according to the second feature value; and select at least one of the correction candidates in accordance with an instruction from a user.
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1. A content creation support apparatus, comprising: a processor, programmed to perform a speech synthesis on a first text including an original string to generate a synthesized speech of the first text; perform a speech recognition on the synthesized speech to obtain a second text including a recognized string resulting from the speech recognition; extract feature values by performing a morphological analysis on each of the first text and the second text, the feature values each including one of pronunciations of the original string and the recognized string; obtain a first difference string and a second difference string by extracting a difference between the first text and the second text, and to compare a first feature value that indicates one of the feature values corresponding to the first difference string and a second feature value that indicates one of the feature values corresponding to the second difference string, the first difference string that is a string in the first text including a difference from the second text, the second difference string that is a string in the second text including a difference from the first text; present one or more correction candidates according to the second feature value; and select at least one of the correction candidates in accordance with an instruction from a user. 3. The apparatus according to claim 1 , wherein the extracting feature values further extracts, as each of the feature values, an accent pattern, presence or absence of a named entity, and wording.
| 0.698777 |
7,778,462 | 2 | 9 |
2. The method as claimed in claim 1 , wherein quantifying comprises quantifying each of the visual properties on a numeric scale for each of the properties.
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2. The method as claimed in claim 1 , wherein quantifying comprises quantifying each of the visual properties on a numeric scale for each of the properties. 9. The method as claimed in claim 2 , wherein quantifying the visual properties comprises quantifying at least one color property of the image.
| 0.838964 |
8,175,911 | 27 | 28 |
27. A system for inferring and visualizing correlations of different business aspects for business transformation, comprising: a processor; a memory module operable to store a plurality of business models, said plurality of business models including at least business component model, business process model, value drivers and metrics model, application model, organization model, and solutions model, the plurality of business models structured using a model topology, the model topology representing data schema for connecting said plurality of business models; a computer-implemented user-interface module operable to configure one or more qualitative relationships between one or more entities in said business models, the user-interface module further operable to configure one or more quantitative properties of said one or more entities in said business models based on said configured one or more qualitative relationships; a computer-implemented inference engine, executing on the processor, operable to infer one or more qualitative correlations from the said qualitative relationships among said one or more entities in said business models, the inference engine utilizing one or more logical rules; a computer-implemented module operable to determine quantitative correlations from said quantitative properties of said one or more entities, utilizing statistics, data mining, mathematical models, simulations, or optimizations, or combinations thereof, said quantitative correlations including distance, intensity determined from a formula that incorporates values of said one or more entities that are correlated, and direction representing forward or backward inferring, said quantitative correlations including coefficient measure between the elements of said entities in said business models, said coefficient measure providing pattern of relationship between the elements of said entities in said business models; and a computer-implemented visualization module operable to generate visualization of said qualitative correlations and quantitative correlations.
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27. A system for inferring and visualizing correlations of different business aspects for business transformation, comprising: a processor; a memory module operable to store a plurality of business models, said plurality of business models including at least business component model, business process model, value drivers and metrics model, application model, organization model, and solutions model, the plurality of business models structured using a model topology, the model topology representing data schema for connecting said plurality of business models; a computer-implemented user-interface module operable to configure one or more qualitative relationships between one or more entities in said business models, the user-interface module further operable to configure one or more quantitative properties of said one or more entities in said business models based on said configured one or more qualitative relationships; a computer-implemented inference engine, executing on the processor, operable to infer one or more qualitative correlations from the said qualitative relationships among said one or more entities in said business models, the inference engine utilizing one or more logical rules; a computer-implemented module operable to determine quantitative correlations from said quantitative properties of said one or more entities, utilizing statistics, data mining, mathematical models, simulations, or optimizations, or combinations thereof, said quantitative correlations including distance, intensity determined from a formula that incorporates values of said one or more entities that are correlated, and direction representing forward or backward inferring, said quantitative correlations including coefficient measure between the elements of said entities in said business models, said coefficient measure providing pattern of relationship between the elements of said entities in said business models; and a computer-implemented visualization module operable to generate visualization of said qualitative correlations and quantitative correlations. 28. The system of claim 27 , wherein the visualization module is further operable to generate one or more reports based on said qualitative correlations and quantitative correlations.
| 0.612288 |
10,049,293 | 14 | 19 |
14. A non-transitory computer-readable storage medium storing computer-executable instructions for tracking an object in a video scene, the computer-executable instructions comprising instructions to: determine at least one pixel-level characteristic for a foreground patch in a first video frame from a plurality of video frames of a video scene, the foreground patch including a set of pixels containing a portion of scene foreground in the first video frame of the video scene; determine kinematics of an object in the video scene based at least in part on that at least one pixel-level characteristic; generate a micro-feature vector based at least in part on the kinematics of the object, the micro-feature vector corresponding to at least one micro-feature value; update a neural network based at least in part on the micro-feature vector, the neural network including a plurality of clusters, each cluster in the plurality of clusters representative of an object type; classify the object in the first video frame of the video scene as a first object type based on the updated neural network, the first object type being represented by a first cluster in the plurality of clusters; and track the object in the video scene based on the micro-feature vector and the first object type.
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14. A non-transitory computer-readable storage medium storing computer-executable instructions for tracking an object in a video scene, the computer-executable instructions comprising instructions to: determine at least one pixel-level characteristic for a foreground patch in a first video frame from a plurality of video frames of a video scene, the foreground patch including a set of pixels containing a portion of scene foreground in the first video frame of the video scene; determine kinematics of an object in the video scene based at least in part on that at least one pixel-level characteristic; generate a micro-feature vector based at least in part on the kinematics of the object, the micro-feature vector corresponding to at least one micro-feature value; update a neural network based at least in part on the micro-feature vector, the neural network including a plurality of clusters, each cluster in the plurality of clusters representative of an object type; classify the object in the first video frame of the video scene as a first object type based on the updated neural network, the first object type being represented by a first cluster in the plurality of clusters; and track the object in the video scene based on the micro-feature vector and the first object type. 19. The non-transitory computer-storage medium of claim 14 , wherein the at least one micro-feature value includes a verticality of the foreground patch and the at least one pixel-level characteristic includes at least one pixel-level gradient value of the foreground patch.
| 0.709746 |
7,801,912 | 73 | 80 |
73. The computer-accessible memory medium as recited in claim 69 , wherein the program instructions are configured to implement the searchable data service on the plurality of nodes as: one or more storage nodes configured to persistently store the searchable indexes; one or more query nodes each configured to maintain a local query cache of responses to previous query requests; and one or more coordinator nodes each configured to: receive service requests from the web services platform; forward each storage request to one or more of the storage nodes; and forward each query request to one or more of the query nodes.
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73. The computer-accessible memory medium as recited in claim 69 , wherein the program instructions are configured to implement the searchable data service on the plurality of nodes as: one or more storage nodes configured to persistently store the searchable indexes; one or more query nodes each configured to maintain a local query cache of responses to previous query requests; and one or more coordinator nodes each configured to: receive service requests from the web services platform; forward each storage request to one or more of the storage nodes; and forward each query request to one or more of the query nodes. 80. The computer-accessible memory medium as recited in claim 73 , wherein each of the query nodes is configured to: receive a query request from a coordinator node; forward the query request to one or more of the storage nodes; receive searchable data service objects from a particular searchable index that satisfy the query request from at least one of the one or more storage nodes to which the query request was forwarded; sort the received searchable data service objects in accordance with a sort specification in the query request; and return at least the entity identifiers from the sorted searchable data service objects to a client application that initiated the query request in accordance with the web service interface and in sorted order.
| 0.557579 |
10,120,879 | 1 | 5 |
1. A method for retrieval of images from a large-scale database of images, comprising: obtaining a user designation of a query image; extracting features representative of the query image; searching the large-scale database of images to obtain a candidate set of images from the large-scale database of images based at least in part on similarity of the features for the query image to features of the images in the large-scale database of images; ranking the obtained candidate images; projecting the query image into a subspace that captures semantic attributes; and re-ranking the ranked candidate images based at least in part on similarity of a result of projecting the query image into the subspace that captures semantic attributes to a result of projecting the images in the large-scale database of images into the subspace that captures semantic attributes, wherein the similarity of the result of projecting the query image into the subspace that captures semantic attributes to the result of projecting the images in the large-scale database of images into the subspace that captures semantic attributes is measured by a distance metric that measures distances between attributes.
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1. A method for retrieval of images from a large-scale database of images, comprising: obtaining a user designation of a query image; extracting features representative of the query image; searching the large-scale database of images to obtain a candidate set of images from the large-scale database of images based at least in part on similarity of the features for the query image to features of the images in the large-scale database of images; ranking the obtained candidate images; projecting the query image into a subspace that captures semantic attributes; and re-ranking the ranked candidate images based at least in part on similarity of a result of projecting the query image into the subspace that captures semantic attributes to a result of projecting the images in the large-scale database of images into the subspace that captures semantic attributes, wherein the similarity of the result of projecting the query image into the subspace that captures semantic attributes to the result of projecting the images in the large-scale database of images into the subspace that captures semantic attributes is measured by a distance metric that measures distances between attributes. 5. The method according to claim 1 , wherein re-ranking is also based at least in part on similarity of the features for the query image to features of the candidate images, using a weighting factor that applies respective weights to similarity of the projection and to similarity of the features.
| 0.5 |
8,560,827 | 4 | 6 |
4. The method of claim 1 wherein using the processor to receive state data from a system comprises using the processor to receive state data from a system in a replication environment.
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4. The method of claim 1 wherein using the processor to receive state data from a system comprises using the processor to receive state data from a system in a replication environment. 6. The method of claim 4 , further comprising using the processor to recommend additional system resources based on the optimized concrete model, the additional resources comprising at least one of bandwidth (BW), data protection appliances (DPAs), storage speed or journal size.
| 0.692731 |
8,886,652 | 1 | 18 |
1. A method for searching objects in a database by means of an index data structure which associates object attribute values to collections of spatial elements—for example tiles of a quadtree or cuboids of an octtree—defined to partition a space, especially a two-dimensional plane or a three-dimensional space, herein a predefined number of spatial elements being combinable to a next-level spatial element, the method comprising: searching the index data structure for a first input search pattern and, if the first input search pattern is associated to a first collection of spatial elements through the index data structure, including all spatial elements from the first collection into a first candidate set of spatial elements, wherein, if the number of spatial elements in the first candidate set exceeds a certain limit, some or all of the spatial elements are combined to a reduced number of next-level spatial elements; searching the index data structure for a second input search pattern and, if the second input search pattern is associated to a second collection of spatial elements through the index data structure, including all spatial elements from the second collection into a second candidate set of spatial elements, wherein, if the number of spatial elements in the second candidate set exceeds a certain limit, some or all of the spatial elements are combined to a reduced number of next-level spatial elements; forming, from the first candidate set and the second candidate set, a combined candidate set of spatial elements; searching, in the combined candidate set of spatial elements, for objects that match the first input search pattern and the input second search pattern to obtain a set of result objects wherein in the combined candidate set formed from the first candidate set and the second candidate set some or all of the spatial elements are combined to a reduced number of next-level spatial elements if the number of spatial elements in the combined candidate set exceeds a predefined threshold value.
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1. A method for searching objects in a database by means of an index data structure which associates object attribute values to collections of spatial elements—for example tiles of a quadtree or cuboids of an octtree—defined to partition a space, especially a two-dimensional plane or a three-dimensional space, herein a predefined number of spatial elements being combinable to a next-level spatial element, the method comprising: searching the index data structure for a first input search pattern and, if the first input search pattern is associated to a first collection of spatial elements through the index data structure, including all spatial elements from the first collection into a first candidate set of spatial elements, wherein, if the number of spatial elements in the first candidate set exceeds a certain limit, some or all of the spatial elements are combined to a reduced number of next-level spatial elements; searching the index data structure for a second input search pattern and, if the second input search pattern is associated to a second collection of spatial elements through the index data structure, including all spatial elements from the second collection into a second candidate set of spatial elements, wherein, if the number of spatial elements in the second candidate set exceeds a certain limit, some or all of the spatial elements are combined to a reduced number of next-level spatial elements; forming, from the first candidate set and the second candidate set, a combined candidate set of spatial elements; searching, in the combined candidate set of spatial elements, for objects that match the first input search pattern and the input second search pattern to obtain a set of result objects wherein in the combined candidate set formed from the first candidate set and the second candidate set some or all of the spatial elements are combined to a reduced number of next-level spatial elements if the number of spatial elements in the combined candidate set exceeds a predefined threshold value. 18. The method according to claim 1 , wherein candidate sets and combined candidate sets are stored in a cache memory database after they have been first computed for a given input search pattern.
| 0.865753 |
8,028,239 | 11 | 12 |
11. The one or more tangible computer-readable media of claim 10 wherein: the choosing supports a presence of heterogeneous management item types in the current context.
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11. The one or more tangible computer-readable media of claim 10 wherein: the choosing supports a presence of heterogeneous management item types in the current context. 12. The one or more tangible computer-readable media of claim 11 wherein: the presence of heterogeneous management item types in the current context results from selection of items in a user interface representing items of heterogeneous management item types.
| 0.5 |
9,874,914 | 1 | 2 |
1. A method implemented by a host computing device comprising: maintaining a data structure configured to associate authorized accessory devices with power contract settings for each authorized accessory device, the power contract settings including at least a power exchange direction and current limits; detecting connection of an accessory device to the host computing device via an accessory interface; determining whether the accessory device is an authorized accessory device by comparing identity data of the accessory device to known data that indicates respective identities of the authorized accessory devices; when the accessory device is determined as an authorized accessory device, setting an active power contract for power exchange between the host computing device and the authorized accessory device, including: obtaining, from the data structure, the power contract settings associated with the authorized accessory device; and setting active power contract settings for the authorized accessory device based on the power contract settings obtained from the data structure; monitoring power exchange conditions between the host computing device and the authorized accessory device; detecting a change in the power exchange conditions prompting modification of the active power contract settings including modifying the data structure to reflect the modified active power contract settings; and communicating an update message that includes the modified active power contract settings to the authorized accessory device.
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1. A method implemented by a host computing device comprising: maintaining a data structure configured to associate authorized accessory devices with power contract settings for each authorized accessory device, the power contract settings including at least a power exchange direction and current limits; detecting connection of an accessory device to the host computing device via an accessory interface; determining whether the accessory device is an authorized accessory device by comparing identity data of the accessory device to known data that indicates respective identities of the authorized accessory devices; when the accessory device is determined as an authorized accessory device, setting an active power contract for power exchange between the host computing device and the authorized accessory device, including: obtaining, from the data structure, the power contract settings associated with the authorized accessory device; and setting active power contract settings for the authorized accessory device based on the power contract settings obtained from the data structure; monitoring power exchange conditions between the host computing device and the authorized accessory device; detecting a change in the power exchange conditions prompting modification of the active power contract settings including modifying the data structure to reflect the modified active power contract settings; and communicating an update message that includes the modified active power contract settings to the authorized accessory device. 2. A method as described in claim 1 , further comprising monitoring the power exchange conditions at the authorized accessory device.
| 0.821237 |
8,862,577 | 10 | 15 |
10. An article comprising at least one non-transitory computer-readable storage medium storing instructions that upon execution cause a system to: apply a plurality of uncertainty rules during performance of sentiment analysis of user feedback, wherein the uncertainty rules include a first rule indicating that an attribute and an associated sentiment word or phrase within a comment follow a syntactic natural language pattern, and a second rule indicating that an attribute and an associated sentiment word or phrase within a comment do not follow the syntactic natural language pattern; assign levels of uncertainty to respective sentiment results of the sentiment analysis, wherein the sentiment results identify user sentiments contained in the user feedback, and wherein assigning the levels of uncertainty comprises: assigning a lower level of uncertainty for a first of the sentiment results if the first sentiment result satisfies the first rule, and assigning a higher level of uncertainty for a second of the sentiment results if the second sentiment result satisfies the second rule; and present at least one visualization of the sentiment results, wherein the visualization has first visual indicators to represent the respective user sentiments identified by the sentiment results, and second visual indicators associated with the first visual indicators to represent the respective levels of uncertainty associated with the corresponding user sentiments.
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10. An article comprising at least one non-transitory computer-readable storage medium storing instructions that upon execution cause a system to: apply a plurality of uncertainty rules during performance of sentiment analysis of user feedback, wherein the uncertainty rules include a first rule indicating that an attribute and an associated sentiment word or phrase within a comment follow a syntactic natural language pattern, and a second rule indicating that an attribute and an associated sentiment word or phrase within a comment do not follow the syntactic natural language pattern; assign levels of uncertainty to respective sentiment results of the sentiment analysis, wherein the sentiment results identify user sentiments contained in the user feedback, and wherein assigning the levels of uncertainty comprises: assigning a lower level of uncertainty for a first of the sentiment results if the first sentiment result satisfies the first rule, and assigning a higher level of uncertainty for a second of the sentiment results if the second sentiment result satisfies the second rule; and present at least one visualization of the sentiment results, wherein the visualization has first visual indicators to represent the respective user sentiments identified by the sentiment results, and second visual indicators associated with the first visual indicators to represent the respective levels of uncertainty associated with the corresponding user sentiments. 15. The article of claim 10 , wherein the visualization includes a certainty calendar map having multiple lines, wherein each of the lines include a plurality of graphical elements representing respective comments in the user feedback, and wherein each of the graphical elements is assigned a corresponding one of the first visual indicators and a corresponding one of the second visual indicators.
| 0.5 |
9,135,243 | 26 | 27 |
26. The system of claim 23 , further configured: to accomplish varying a first graphical dimension or characteristic, for a display of each n-gram of the second selected list of n-grams, on a basis of the normalized difference value of the n-gram.
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26. The system of claim 23 , further configured: to accomplish varying a first graphical dimension or characteristic, for a display of each n-gram of the second selected list of n-grams, on a basis of the normalized difference value of the n-gram. 27. The system of claim 26 , further configured: to accomplish varying a second graphical dimension or characteristic, for a display of each n-gram of the second selected list of n-grams, on a basis of a number of occurrences of the n-gram.
| 0.5 |
7,613,687 | 31 | 33 |
31. A method of optimizing searching in a data processing system comprising the steps of: identifying websites of business entities that are associated with a standard industry classification system (SIC) predefined taxonomy of business activities having verified information of the business entities; extracting website content from the websites of business entities that are associated with the SIC predefined taxonomy of SIC business activities to enable full text searching; processing the extracted content to identify commonly occurring keywords in the extracted content from websites of business entities that have been similarly classified in the SIC predefined taxonomy of SIC business activities, where one or more of the commonly occurring keywords are used to update a classification system, where the classification system is based on the SIC predefined taxonomy of SIC business activities; creating a new category to update the classification system by: identifying keyword matches in the extracted website content by identifying any commonly occurring keywords or phrases in the extracted website content; and processing the matches identified by determining whether any of the keywords or phrases in the identified matches contain one or more keywords associated with any of the business activities in the SIC predefined taxonomy; processing a search query using full text index searching by matching the search query against at least a portion of the extracted content, where at least a portion of the search results are clustered according to their respective SIC business activity category.
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31. A method of optimizing searching in a data processing system comprising the steps of: identifying websites of business entities that are associated with a standard industry classification system (SIC) predefined taxonomy of business activities having verified information of the business entities; extracting website content from the websites of business entities that are associated with the SIC predefined taxonomy of SIC business activities to enable full text searching; processing the extracted content to identify commonly occurring keywords in the extracted content from websites of business entities that have been similarly classified in the SIC predefined taxonomy of SIC business activities, where one or more of the commonly occurring keywords are used to update a classification system, where the classification system is based on the SIC predefined taxonomy of SIC business activities; creating a new category to update the classification system by: identifying keyword matches in the extracted website content by identifying any commonly occurring keywords or phrases in the extracted website content; and processing the matches identified by determining whether any of the keywords or phrases in the identified matches contain one or more keywords associated with any of the business activities in the SIC predefined taxonomy; processing a search query using full text index searching by matching the search query against at least a portion of the extracted content, where at least a portion of the search results are clustered according to their respective SIC business activity category. 33. A method of optimizing searching as in claim 31 wherein processing matches identified further includes: determining whether any of the identified matches were extracted from two or more websites that are associated with any of the same SIC business activities in the SIC predefined taxonomy; computing the identified matches and determining whether any of the matches exceed a certain percentage of the computed total; or computing the identified matches and eliminating matches that are below a certain percentage of the computed total.
| 0.5 |
9,256,825 | 9 | 11 |
9. The method of claim 1 , wherein receiving a user's emotion data comprises: comparing the received emotion data to a threshold range of values indicating a normal range of an emotion.
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9. The method of claim 1 , wherein receiving a user's emotion data comprises: comparing the received emotion data to a threshold range of values indicating a normal range of an emotion. 11. The method of claim 9 , wherein, if the emotion data received is within the threshold range of values indicating a normal range of an emotion, the received emotion data is used to generate the emotion script.
| 0.509259 |
9,858,929 | 1 | 5 |
1. A computer-implemented system for transcription error reduction, comprising: a processor to execute modules, comprising: an assignment module configured to assign a transcribed value to each utterance obtained from a user during a call and a confidence score for each transcribed value; an application module configured to apply an accuracy threshold to the confidence scores; an incorporation module configured to incorporate the transcribed values that satisfy the accuracy threshold in a message; a grouping module configured to generate a grouping for at least one of the utterances associated with one such transcribed value that fails to satisfy the accuracy threshold, the grouping comprising the at least one utterance and related utterances from other calls; a receipt module configured to receive from one or more human transcribers a further transcribed value for each utterance in a portion of the grouping; a delivery module configured to provide any remaining utterances in the grouping to the one or more human transcribers when the further transcribed values differ; and a placement module configured to incorporate the further transcribed value for the at least one utterance in the message.
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1. A computer-implemented system for transcription error reduction, comprising: a processor to execute modules, comprising: an assignment module configured to assign a transcribed value to each utterance obtained from a user during a call and a confidence score for each transcribed value; an application module configured to apply an accuracy threshold to the confidence scores; an incorporation module configured to incorporate the transcribed values that satisfy the accuracy threshold in a message; a grouping module configured to generate a grouping for at least one of the utterances associated with one such transcribed value that fails to satisfy the accuracy threshold, the grouping comprising the at least one utterance and related utterances from other calls; a receipt module configured to receive from one or more human transcribers a further transcribed value for each utterance in a portion of the grouping; a delivery module configured to provide any remaining utterances in the grouping to the one or more human transcribers when the further transcribed values differ; and a placement module configured to incorporate the further transcribed value for the at least one utterance in the message. 5. A system according to claim 1 , further comprising: a display module configured to place in the message the transcribed value for the at least one utterance prior to incorporating the further transcribed value in the message and to display the transcribed value differently from the other transcribed values in the message that satisfy the accuracy threshold.
| 0.519894 |
9,640,181 | 10 | 14 |
10. A method of editing on a headset computer device, comprising: by a processor, generating orientational sensing information describing an orientation of the headset computer; producing user input based on user utterances received via a microphone and the orientational sensing information; transcribing the user utterances to produce transcription text; displaying the transcription text; responding to the user input directed to editing the displayed transcription text; and providing editing assistance using fuzzy matching.
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10. A method of editing on a headset computer device, comprising: by a processor, generating orientational sensing information describing an orientation of the headset computer; producing user input based on user utterances received via a microphone and the orientational sensing information; transcribing the user utterances to produce transcription text; displaying the transcription text; responding to the user input directed to editing the displayed transcription text; and providing editing assistance using fuzzy matching. 14. The method of claim 10 , wherein providing editing assistance includes correcting names using a local contact database.
| 0.676316 |
9,558,102 | 5 | 6 |
5. The machine readable storage of claim 1 , wherein said unidirectional text characters are Latin text characters.
|
5. The machine readable storage of claim 1 , wherein said unidirectional text characters are Latin text characters. 6. The machine readable storage of claim 5 , wherein said bi-directional code points are Arabic code points.
| 0.5 |
8,560,513 | 1 | 15 |
1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features, wherein the determining of the plurality of confidence degrees is based on a maximum entropy model, a linear regression, or a support vector machine model; selecting a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; searching in the selected category for a search result that corresponds to the current query data; and returning the search result.
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1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features, wherein the determining of the plurality of confidence degrees is based on a maximum entropy model, a linear regression, or a support vector machine model; selecting a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; searching in the selected category for a search result that corresponds to the current query data; and returning the search result. 15. The method of claim 1 , wherein the selected category has a maximum calculated confidence degree for the current query data.
| 0.885305 |
8,706,735 | 1 | 2 |
1. A method, comprising: determining, by at least one computer, based on a timed media file, data representing at least a word or phrase; and using, by the at least one computer, the data to determine a first portion of the timed media file based on the word or phrase.
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1. A method, comprising: determining, by at least one computer, based on a timed media file, data representing at least a word or phrase; and using, by the at least one computer, the data to determine a first portion of the timed media file based on the word or phrase. 2. The method of claim 1 , further comprising determining a plurality of occurrences of the word or phrase in the timed media file, wherein said using comprises using the data to determine the first portion such that the plurality of occurrences are within beginning and end points of the first portion.
| 0.775888 |
9,563,696 | 1 | 8 |
1. A note management system, the system comprising: a device, comprising a sensor configured to generate a first image comprising a first visual representation of a scene having a plurality of physical notes, each of the physical notes comprising a separate physical object having a general boundary and recognizable content thereon; and a processing unit comprising: a note recognition module configured to receive, from the sensor, first image data associated with the first image and process the first image data, automatically identify one or more marks associated with one or more of the plurality of physical notes in the first image, determine a location associated with the one or more marks, and use the location to control the sensor to generate a second image comprising a second visual representation of the scene, wherein the second image comprises a zoomed-in image of one or more notes of the plurality of physical notes, the note recognition module further configured to determine the general boundary of one of the plurality of physical notes from the visual representation, a note authentication module configured to authenticate the one of the plurality of physical notes, a note extraction module configured to extract, in response to determining that the one of the plurality of physical notes is authenticated, the recognizable content of the one of the plurality of physical notes from the visual representation based on the determined general boundary of the one of the plurality of physical notes, and a note labeling module configured to label a digital note representing the one of the plurality of physical notes with a category.
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1. A note management system, the system comprising: a device, comprising a sensor configured to generate a first image comprising a first visual representation of a scene having a plurality of physical notes, each of the physical notes comprising a separate physical object having a general boundary and recognizable content thereon; and a processing unit comprising: a note recognition module configured to receive, from the sensor, first image data associated with the first image and process the first image data, automatically identify one or more marks associated with one or more of the plurality of physical notes in the first image, determine a location associated with the one or more marks, and use the location to control the sensor to generate a second image comprising a second visual representation of the scene, wherein the second image comprises a zoomed-in image of one or more notes of the plurality of physical notes, the note recognition module further configured to determine the general boundary of one of the plurality of physical notes from the visual representation, a note authentication module configured to authenticate the one of the plurality of physical notes, a note extraction module configured to extract, in response to determining that the one of the plurality of physical notes is authenticated, the recognizable content of the one of the plurality of physical notes from the visual representation based on the determined general boundary of the one of the plurality of physical notes, and a note labeling module configured to label a digital note representing the one of the plurality of physical notes with a category. 8. The note management system of claim 1 , wherein the note extraction module is further configured to associate the digital note with a unique identifier, and wherein the note labeling module is configured to automatically label the digital note based on the unique identifier.
| 0.5 |
9,432,396 | 22 | 30 |
22. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; determining, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; causing display of information relating to the access count corresponding to each accessed domain name in the subset.
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22. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; determining, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; causing display of information relating to the access count corresponding to each accessed domain name in the subset. 30. The one or more non-transitory storage media of claim 22 , wherein each accessed domain name in the set of accessed domain names corresponds to an accessed Web page.
| 0.8977 |
6,108,632 | 20 | 25 |
20. Apparatus as in claim 18 which further comprises: a confirmatory output device coupled to said parameter output, to generate a confirmatory indication, recognizable by a said human transaction operator, of values of said parameters thus recognized.
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20. Apparatus as in claim 18 which further comprises: a confirmatory output device coupled to said parameter output, to generate a confirmatory indication, recognizable by a said human transaction operator, of values of said parameters thus recognized. 25. Apparatus as in claim 20 in which said confirmatory output device comprises a visual display.
| 0.780543 |
8,568,144 | 28 | 44 |
28. A computer implemented reading comprehension training method, the method comprising: generating a reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test a user's comprehension of the reading comprehension challenge; generating a user interface for the reading comprehension challenge at the particular skill level wherein the user interface for the reading comprehension challenge at the particular skill level is displayed on a computing device to the user; receiving a response from the user to the reading comprehension challenge based on controlled manipulation of the language micro-variables in the reading comprehension challenge; isolating one or more language micro-variables that are impeding the user's comprehension of the reading comprehension challenge based on the response from the user; providing direct instruction to train the user to become more proficient at the isolated one or more language micro-variables based on controlled manipulation of the isolated one or more language micro-variables; and determining, once the user becomes more proficient at the isolated one or more language micro-variables, a next reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test the user's comprehension of the next reading comprehension challenge.
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28. A computer implemented reading comprehension training method, the method comprising: generating a reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test a user's comprehension of the reading comprehension challenge; generating a user interface for the reading comprehension challenge at the particular skill level wherein the user interface for the reading comprehension challenge at the particular skill level is displayed on a computing device to the user; receiving a response from the user to the reading comprehension challenge based on controlled manipulation of the language micro-variables in the reading comprehension challenge; isolating one or more language micro-variables that are impeding the user's comprehension of the reading comprehension challenge based on the response from the user; providing direct instruction to train the user to become more proficient at the isolated one or more language micro-variables based on controlled manipulation of the isolated one or more language micro-variables; and determining, once the user becomes more proficient at the isolated one or more language micro-variables, a next reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test the user's comprehension of the next reading comprehension challenge. 44. The method of claim 28 further comprising scoring the reading comprehension challenges using one or more early evaluation points that determine if the skill level of the user is a predetermined amount below the challenge skill level in order to adjust the skill level during the reading comprehension challenge and one or more early acceleration triggers that determine if the skill level of the user is a predetermined amount above the challenge skill level in order to adjust the skill level during the reading comprehension challenge.
| 0.625864 |
9,569,413 | 16 | 18 |
16. A non-transitory computer-readable medium encoding instructions that, when executed by at least one data processor, cause the at least one data processor to perform operations comprising: receiving a document having a plurality of lines with text, the document comprising text associated with at least one topic of interest and text not associated with the at least one topic of interest; determining, for each line in the document, a length of the line and a number of off-topic indicators, the off-topic indicators characterizing portions of the document as likely being not being associated with the at least one topic of interest; determining a density for each line based on the determined line length and the determined number of off-topic indicators, the density for each line being proportional to the determined line length and inversely proportional to an exponential base greater than one of the number of off-topic indicators; identifying, using the determined densities for each line, portions of the documents likely associated with the at least one topic of interest; and providing data characterizing the identified portions of the document.
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16. A non-transitory computer-readable medium encoding instructions that, when executed by at least one data processor, cause the at least one data processor to perform operations comprising: receiving a document having a plurality of lines with text, the document comprising text associated with at least one topic of interest and text not associated with the at least one topic of interest; determining, for each line in the document, a length of the line and a number of off-topic indicators, the off-topic indicators characterizing portions of the document as likely being not being associated with the at least one topic of interest; determining a density for each line based on the determined line length and the determined number of off-topic indicators, the density for each line being proportional to the determined line length and inversely proportional to an exponential base greater than one of the number of off-topic indicators; identifying, using the determined densities for each line, portions of the documents likely associated with the at least one topic of interest; and providing data characterizing the identified portions of the document. 18. A computer-readable medium as in claim 16 , wherein the portions of the documents likely associated with the at least one topic of interest are identified by: for every line in file, if a pre-defined density related condition is met, (i) growing an existing text island if an immediately prior line is part of the existing text island, or (ii) creating a new text island if the immediately prior line is not part of an existing text island, and if a pre-defined density condition is not met, skipping the line.
| 0.5 |
8,832,097 | 9 | 12 |
9. A computer readable medium containing executable instructions, which, when executed in a processing system, cause the processing system to perform a method comprising: parsing, in a computer, an original search query received from a user over a network through a query web page to obtain at least one parsed search query term; retrieving a plurality of keywords from a database, wherein said keywords relate contextually to a category of said query web page; generating, in a computer, a set of modified queries, each modified query comprising said at least one query term and at least one keyword; retrieving, from a database, a plurality of advertising offers related to said modified queries; removing, in a computer, any advertising offer that is not related contextually to said category of said query web page; storing, in a database, as filtered modified queries, said modified queries corresponding to advertising offers not removed; thereafter, receiving, in a computer, a subsequent search query received from a user over a network through a corresponding query web page; retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page; retrieving advertising offers related to said filtered modified queries retrieved; and retrieving advertising content from a database related to an advertising offer retrieved.
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9. A computer readable medium containing executable instructions, which, when executed in a processing system, cause the processing system to perform a method comprising: parsing, in a computer, an original search query received from a user over a network through a query web page to obtain at least one parsed search query term; retrieving a plurality of keywords from a database, wherein said keywords relate contextually to a category of said query web page; generating, in a computer, a set of modified queries, each modified query comprising said at least one query term and at least one keyword; retrieving, from a database, a plurality of advertising offers related to said modified queries; removing, in a computer, any advertising offer that is not related contextually to said category of said query web page; storing, in a database, as filtered modified queries, said modified queries corresponding to advertising offers not removed; thereafter, receiving, in a computer, a subsequent search query received from a user over a network through a corresponding query web page; retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page; retrieving advertising offers related to said filtered modified queries retrieved; and retrieving advertising content from a database related to an advertising offer retrieved. 12. The computer readable medium according to claim 9 , wherein said retrieving a plurality of filtered modified queries from a database related to said subsequent search query and said corresponding query web page further comprises: accessing said database; and matching said at least one query term to said at least one filtered query previously stored in said database.
| 0.5 |
6,105,044 | 13 | 16 |
13. The process of claim 12, wherein the step of applying the property specification includes: retrieving the property specification of each ancestor element of the starting point element in the digital document; and combining the property specifications of the ancestor elements with the property specification of the starting point element.
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13. The process of claim 12, wherein the step of applying the property specification includes: retrieving the property specification of each ancestor element of the starting point element in the digital document; and combining the property specifications of the ancestor elements with the property specification of the starting point element. 16. The process of claim 13, wherein the type name of a markup element includes the type name of any ancestor element; and wherein the step of retrieving the property specification of each ancestor element comprises retrieving said property specification using the type name of the ancestor element obtained from the type name of the starting point element.
| 0.696429 |
9,240,197 | 8 | 9 |
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: collecting a plurality of audible utterances, via a plurality of industry specific spoken dialog systems, and during a plurality of collection phases comprising respective defined periods of time, to yield stored audible utterances; organizing the stored audible utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors, and wherein the each dataset for its unique industrial sector is independent of other datasets in the plurality of industrial sectors; generating an annotation guide comprising mnemonic names, textual descriptions, and both a positive example utterance and negative example utterance for an associated call-type; and building a natural language spoken dialog system using the plurality of datasets and the annotation guide, wherein datasets having a call-type label associated with the negative example utterance of the annotation guide are not included in the natural language spoken dialog system.
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8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: collecting a plurality of audible utterances, via a plurality of industry specific spoken dialog systems, and during a plurality of collection phases comprising respective defined periods of time, to yield stored audible utterances; organizing the stored audible utterances into a plurality of datasets having call-type labels, wherein each dataset in the plurality of datasets pertains to a unique industrial sector in a plurality of industrial sectors, and wherein the each dataset for its unique industrial sector is independent of other datasets in the plurality of industrial sectors; generating an annotation guide comprising mnemonic names, textual descriptions, and both a positive example utterance and negative example utterance for an associated call-type; and building a natural language spoken dialog system using the plurality of datasets and the annotation guide, wherein datasets having a call-type label associated with the negative example utterance of the annotation guide are not included in the natural language spoken dialog system. 9. The system of claim 8 , further comprising, prior to the building of the natural language spoken dialog system, comparing, for each of the call-type labels, each utterance in the plurality of audible utterances to the negative example utterance for the associated call-type.
| 0.5 |
9,414,004 | 10 | 11 |
10. The method as recited in claim 9 further comprising communicating the first encrypted context token and the second search request to a conversation manager.
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10. The method as recited in claim 9 further comprising communicating the first encrypted context token and the second search request to a conversation manager. 11. The method as recited in claim 10 further comprising decrypting the first encrypted context token in the conversation manager to form the context object having first intents therein and wherein the second search request comprises second intents.
| 0.5 |
9,589,277 | 4 | 6 |
4. The one or more computer-storage hardware devices of claim 3 , further comprising: for each potentially relevant ad-query pair, determining a second measure of relevance by applying the machine learning model to the potentially relevant ad-query pair.
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4. The one or more computer-storage hardware devices of claim 3 , further comprising: for each potentially relevant ad-query pair, determining a second measure of relevance by applying the machine learning model to the potentially relevant ad-query pair. 6. The one or more computer-storage hardware devices of claim 4 , further comprising ranking the ad-query pairs based on the second measure of relevance for each ad-query pair.
| 0.511111 |
9,430,582 | 6 | 7 |
6. A system for query processing, comprising: a memory; and a processor coupled to said memory, wherein said processor performs operations, said operations comprising: creating an index of a database; ordering a set of index candidates from the index into a list based on heuristic rules, wherein the heuristic rules reduce a matching cost for an index pattern via a preference for a matching without a descendant axis over a matching with a descendant axis and via a preference for a matching without a wildcard over a matching with a wildcard and via a preference for a pattern with greater number of steps than for a pattern with fewer number of steps, wherein determination of the matching with or without a descendant axis is performed prior to determination of the matching with or without a wildcard, and wherein the determination of the matching with or without a wildcard is performed prior to determination of whether a current pattern contains fewer steps than a previous pattern; and reducing a query defining a query path into a list of single path expressions.
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6. A system for query processing, comprising: a memory; and a processor coupled to said memory, wherein said processor performs operations, said operations comprising: creating an index of a database; ordering a set of index candidates from the index into a list based on heuristic rules, wherein the heuristic rules reduce a matching cost for an index pattern via a preference for a matching without a descendant axis over a matching with a descendant axis and via a preference for a matching without a wildcard over a matching with a wildcard and via a preference for a pattern with greater number of steps than for a pattern with fewer number of steps, wherein determination of the matching with or without a descendant axis is performed prior to determination of the matching with or without a wildcard, and wherein the determination of the matching with or without a wildcard is performed prior to determination of whether a current pattern contains fewer steps than a previous pattern; and reducing a query defining a query path into a list of single path expressions. 7. The system of claim 6 wherein extra index candidates for inexact match are eliminated.
| 0.785024 |
8,836,729 | 1 | 2 |
1. A method for reflowing a page, comprising: receiving, in a processor, a page represented in a page description language, the page including a plurality of page objects that include one or more textual elements and one or more graphical elements; changing at least one of i) a size of the page and ii) a size of the page objects; creating one or more new pages; creating a map containing positions of the page objects in the page, and adding to the map updated positions of the page objects in the one or more new pages to produce a relationship for each page object between the position of the page object in the page and the updated position of the page object in the one or more new pages; adding the page objects to the one or more new pages according to the updated positions in the map, including adding a particular graphical element to the one or more new pages based on updated positions of one or more particular textual elements in the one or more new pages as listed in the map, the particular graphical element being anchored to the one or more particular textual elements; and scaling the particular graphical element based on a difference between a distance between two particular textual elements in the page and a corresponding distance between the particular two textual elements in the one or more new pages.
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1. A method for reflowing a page, comprising: receiving, in a processor, a page represented in a page description language, the page including a plurality of page objects that include one or more textual elements and one or more graphical elements; changing at least one of i) a size of the page and ii) a size of the page objects; creating one or more new pages; creating a map containing positions of the page objects in the page, and adding to the map updated positions of the page objects in the one or more new pages to produce a relationship for each page object between the position of the page object in the page and the updated position of the page object in the one or more new pages; adding the page objects to the one or more new pages according to the updated positions in the map, including adding a particular graphical element to the one or more new pages based on updated positions of one or more particular textual elements in the one or more new pages as listed in the map, the particular graphical element being anchored to the one or more particular textual elements; and scaling the particular graphical element based on a difference between a distance between two particular textual elements in the page and a corresponding distance between the particular two textual elements in the one or more new pages. 2. The method of claim 1 , wherein: the particular graphical element is anchored to a particular textual element that is nearest to the particular graphical element.
| 0.852415 |
9,729,496 | 15 | 16 |
15. The method of claim 1 , comprising inviting the second person to sing the song.
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15. The method of claim 1 , comprising inviting the second person to sing the song. 16. The method of claim 15 , comprising determining an identity of the second person based on information indicative of the identity of the second person previously provided by the first person.
| 0.5 |
8,516,374 | 15 | 16 |
15. A system for displaying social interest in television programs, the system comprising: means for storing a plurality of social media content items received from an external social networking system; means for selecting a plurality of television programs, each television program associated with one of a series of chronological time segments of television; means for determining, for each selected television program, that a subset of the social media content items is relevant to the television program, and storing the subset of the social media content items relevant to the television program; means for determining, for each selected television program, a level of social interest in the television program based on the subset of the social media content items determined to be relevant to the television program; means for determining for each of the time segments a level of social interest in the time segment based upon an aggregate level of social interest in the television programs associated with the time segment; and means for graphically displaying at least one time segment and the determined level of social interest for each displayed time segment.
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15. A system for displaying social interest in television programs, the system comprising: means for storing a plurality of social media content items received from an external social networking system; means for selecting a plurality of television programs, each television program associated with one of a series of chronological time segments of television; means for determining, for each selected television program, that a subset of the social media content items is relevant to the television program, and storing the subset of the social media content items relevant to the television program; means for determining, for each selected television program, a level of social interest in the television program based on the subset of the social media content items determined to be relevant to the television program; means for determining for each of the time segments a level of social interest in the time segment based upon an aggregate level of social interest in the television programs associated with the time segment; and means for graphically displaying at least one time segment and the determined level of social interest for each displayed time segment. 16. The system of claim 15 , wherein determining the level of social interest in the television program comprises: extracting event features from annotations associated with the television program; for each of the plurality of social media content items: extracting a social media feature from the social media content item; and determining, based on the social media feature and a subset of the event features, a confidence score indicative of the probability that the social media content item is relevant to the television program; and mapping the television program to the subset of social media content items based on the confidence scores of the subset of social media content items.
| 0.5 |
9,430,617 | 22 | 23 |
22. An information system, comprising a computer system having at least one hardware processor, at least one memory, and at least one storage medium, the computer system configured to execute instructions from the at least one storage medium using the hardware processor and the memory, to cause the computer to: evaluate data that indicates a plurality of personality and psychological characteristics of a human user, the personality and psychological characteristics being relevant to an attainment of an overall health goal for the human user; evaluate data that indicates a plurality of behaviors and actions of the human user, the behaviors and actions being relevant to the attainment of the overall health goal for the human user; select a candidate set of context-sensitive content suggestions for the human user, the context-sensitive content suggestions being relevant to the attainment of the overall health goal for the human user; filter the candidate set of context-sensitive content suggestions for the human user, based on matching the candidate set to the behaviors and actions of the human user, and matching the candidate set to the personality and psychological characteristics of the human user; prioritize a selected content suggestion from the candidate set of context-sensitive content suggestions for presentation to the human user, based on matching the selected content suggestion to the behavior and actions of the human user, and matching the selected content suggestion to a current state of the human user; and generate data indicating the selected content suggestion for display to the human user in a graphical user interface.
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22. An information system, comprising a computer system having at least one hardware processor, at least one memory, and at least one storage medium, the computer system configured to execute instructions from the at least one storage medium using the hardware processor and the memory, to cause the computer to: evaluate data that indicates a plurality of personality and psychological characteristics of a human user, the personality and psychological characteristics being relevant to an attainment of an overall health goal for the human user; evaluate data that indicates a plurality of behaviors and actions of the human user, the behaviors and actions being relevant to the attainment of the overall health goal for the human user; select a candidate set of context-sensitive content suggestions for the human user, the context-sensitive content suggestions being relevant to the attainment of the overall health goal for the human user; filter the candidate set of context-sensitive content suggestions for the human user, based on matching the candidate set to the behaviors and actions of the human user, and matching the candidate set to the personality and psychological characteristics of the human user; prioritize a selected content suggestion from the candidate set of context-sensitive content suggestions for presentation to the human user, based on matching the selected content suggestion to the behavior and actions of the human user, and matching the selected content suggestion to a current state of the human user; and generate data indicating the selected content suggestion for display to the human user in a graphical user interface. 23. The information system of claim 22 , the computer system configured to execute further instructions from the at least one storage medium using the hardware processor and the memory, to cause the computer to: determine a timing of the display to the human user; determine a delivery location of the display to the human user; and implement a modification to the suggested content to increase relevance to the human user.
| 0.731258 |
8,812,974 | 13 | 16 |
13. An apparatus comprising: a communications fabric; a memory coupled to the communications fabric, wherein the memory contains computer executable program code; a communications unit coupled to the communications fabric; an input/output unit coupled to the communications fabric; a display coupled to the communications fabric; and a processor unit coupled to the communications fabric, wherein the processor unit executes the computer executable program code to cause the apparatus to: create a widget properties dialog; receive properties and validation rules from each source of one or more sources that are associated with the widget properties dialog to form received information, wherein each source is one of a dashboard application or a content provider; create a group of tabs in the widget properties dialog using the received information, wherein the group of tabs contains a general tab and a group of content tabs, wherein the general tab is associated the dashboard application, wherein each content tab is specific to an instance of a content provider that comprises one of the one or more sources of the received information for the respective content tab, and wherein each content tab is specific to an instance of a content type that is associated with at least one content-specific feature of an object received from the instance of the content provider for the respective content tab; determine whether a change to the widget properties dialog is confirmed, wherein the change includes one or more alterations to property information from the one or more sources; after the change to the widget properties dialog is confirmed, validate each tab in the group of tabs using the validation rules to generate a changed widget, wherein validating each tab comprises using the validation rules to validate the one or more alterations to the property information of the change; and present the changed widget for display in a user interface.
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13. An apparatus comprising: a communications fabric; a memory coupled to the communications fabric, wherein the memory contains computer executable program code; a communications unit coupled to the communications fabric; an input/output unit coupled to the communications fabric; a display coupled to the communications fabric; and a processor unit coupled to the communications fabric, wherein the processor unit executes the computer executable program code to cause the apparatus to: create a widget properties dialog; receive properties and validation rules from each source of one or more sources that are associated with the widget properties dialog to form received information, wherein each source is one of a dashboard application or a content provider; create a group of tabs in the widget properties dialog using the received information, wherein the group of tabs contains a general tab and a group of content tabs, wherein the general tab is associated the dashboard application, wherein each content tab is specific to an instance of a content provider that comprises one of the one or more sources of the received information for the respective content tab, and wherein each content tab is specific to an instance of a content type that is associated with at least one content-specific feature of an object received from the instance of the content provider for the respective content tab; determine whether a change to the widget properties dialog is confirmed, wherein the change includes one or more alterations to property information from the one or more sources; after the change to the widget properties dialog is confirmed, validate each tab in the group of tabs using the validation rules to generate a changed widget, wherein validating each tab comprises using the validation rules to validate the one or more alterations to the property information of the change; and present the changed widget for display in a user interface. 16. The apparatus of claim 13 , wherein the general tab is further associated with information associated with a dashboard application and information common across the group of content tabs.
| 0.851014 |
9,798,975 | 3 | 4 |
3. The production rules engine according to claim 1 , wherein ontologies and assertions are loaded into a data structure comprising a logical network of nodes.
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3. The production rules engine according to claim 1 , wherein ontologies and assertions are loaded into a data structure comprising a logical network of nodes. 4. The production rules engine according to claim 3 , wherein the logical network of nodes is a RETE network that utilizes a RETE algorithm.
| 0.5 |
8,266,702 | 1 | 4 |
1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report.
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1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report. 4. The system of claim 1 wherein the vulnerability report is provided in a hierarchical representation.
| 0.772124 |
10,043,519 | 18 | 20 |
18. The computer-implemented speech recognition system of claim 16 , wherein the parameter determination component is further configured to: normalize a plurality of acoustic parameters by applying respective acoustic normalization functions; normalize the speed parameter by applying a speed normalization function; and determine visual shaping parameters based on the normalized speed and acoustic parameters.
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18. The computer-implemented speech recognition system of claim 16 , wherein the parameter determination component is further configured to: normalize a plurality of acoustic parameters by applying respective acoustic normalization functions; normalize the speed parameter by applying a speed normalization function; and determine visual shaping parameters based on the normalized speed and acoustic parameters. 20. The computer-implemented speech recognition system of claim 18 , wherein the plurality of acoustic parameters include a loudness parameter, a pitch parameter, or a loudness parameter and a pitch parameter, and wherein generating the character shape further comprises any one of the following: in comparison with a reference character shape, increasing a vertical stroke weight of the character shape with increasing loudness parameter values; in comparison with the reference character shape, increasing a horizontal stroke weight of the character shape with raising pitch parameter values; and in comparison with the reference character shape, reducing a character width of the character shape with increasing speed parameter values.
| 0.5 |
8,015,505 | 10 | 14 |
10. The system of claim 8 , wherein the dialog routine comprises a dialog command manager that is installed if a dialog includes a preview control and that manages commands generated via the dialog based on whether received commands are subject to the preview control.
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10. The system of claim 8 , wherein the dialog routine comprises a dialog command manager that is installed if a dialog includes a preview control and that manages commands generated via the dialog based on whether received commands are subject to the preview control. 14. The system of claim 10 , wherein the dialog command manager identifies at least one of the commands to be performed from the dialog independent of a current preview state in the dialog based on one or more received null commands indicating the at least one of the commands are preview-independent.
| 0.519169 |
8,447,608 | 2 | 3 |
2. The method of claim 1 , further comprising: processing one or more source texts to extract particular content portions.
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2. The method of claim 1 , further comprising: processing one or more source texts to extract particular content portions. 3. The method of claim 2 , where the one or more source texts are structured documents and the processing includes removing tags indicating document structure.
| 0.5 |
7,587,320 | 1 | 3 |
1. A system that concatenates speech units to produce synthetic speech, the system comprising: a processor; a module configured to control the processor to train a set of Hidden Markov Models (HMMs) using seed data in a first iteration; a module configured to control the processor to align the set of HMMs to produce segmented unit labels; and a module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction, wherein the unit labels having adjusted boundaries are used to concatenate speech units to synthesize speech.
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1. A system that concatenates speech units to produce synthetic speech, the system comprising: a processor; a module configured to control the processor to train a set of Hidden Markov Models (HMMs) using seed data in a first iteration; a module configured to control the processor to align the set of HMMs to produce segmented unit labels; and a module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction, wherein the unit labels having adjusted boundaries are used to concatenate speech units to synthesize speech. 3. The system of claim 1 , wherein the module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction further adjusts boundaries of the unit labels within specified time windows.
| 0.828928 |
7,533,338 | 1 | 14 |
1. A computer-implemented method for asynchronous receipt and processing of electronic ink annotation of a document, comprising: generating a first analysis context object, the first analysis context object providing a translation layer for a document model of a current state of a relationship of elements in the document and comprising a tree data structure for storing document elements in a hierarchical relationship; staffing a first thread, wherein the first thread updates the first analysis context object based upon a user interaction with the document, the user interaction including electronic ink annotation; upon an event requiring analysis of new data in the document: suspending execution of the first thread so as to prevent changes to the first analysis context object; starting a second thread, wherein the second thread generates a second analysis context object corresponding to a portion of the first analysis context object, wherein the portion corresponds to a designated region of the document; upon completion of generation of the second analysis context object: suspending execution of the second thread; restarting the first thread; performing a first analysis of the second analysis context object to generate a third analysis context object from the second analysis context object, wherein the third analysis context object is generated by parsing the new data and modifying the second analysis context object based on the new data and further includes classification information for the new data; upon completion of the first analysis: suspending execution of the first thread so as to prevent any changes to the first analysis context object; starting a third thread, wherein the third thread reconciles the third analysis context object with the first analysis context object to generate first reconciled analysis results; upon completion of the reconciliation of the first analysis context object and the third analysis context object: updating the first analysis context object with the first reconciled analysis results; suspending execution of the third threat; and restarting the first thread.
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1. A computer-implemented method for asynchronous receipt and processing of electronic ink annotation of a document, comprising: generating a first analysis context object, the first analysis context object providing a translation layer for a document model of a current state of a relationship of elements in the document and comprising a tree data structure for storing document elements in a hierarchical relationship; staffing a first thread, wherein the first thread updates the first analysis context object based upon a user interaction with the document, the user interaction including electronic ink annotation; upon an event requiring analysis of new data in the document: suspending execution of the first thread so as to prevent changes to the first analysis context object; starting a second thread, wherein the second thread generates a second analysis context object corresponding to a portion of the first analysis context object, wherein the portion corresponds to a designated region of the document; upon completion of generation of the second analysis context object: suspending execution of the second thread; restarting the first thread; performing a first analysis of the second analysis context object to generate a third analysis context object from the second analysis context object, wherein the third analysis context object is generated by parsing the new data and modifying the second analysis context object based on the new data and further includes classification information for the new data; upon completion of the first analysis: suspending execution of the first thread so as to prevent any changes to the first analysis context object; starting a third thread, wherein the third thread reconciles the third analysis context object with the first analysis context object to generate first reconciled analysis results; upon completion of the reconciliation of the first analysis context object and the third analysis context object: updating the first analysis context object with the first reconciled analysis results; suspending execution of the third threat; and restarting the first thread. 14. The method according to claim 1 , wherein the first context node and the second context node share at least one common parent node.
| 0.869691 |
9,082,408 | 2 | 4 |
2. The system of claim 1 : wherein the system further comprises means for providing the speech recognition results to the result processing component in response to the determination that the result processing component is associated with the current context of the user.
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2. The system of claim 1 : wherein the system further comprises means for providing the speech recognition results to the result processing component in response to the determination that the result processing component is associated with the current context of the user. 4. The system of claim 2 , wherein the speech recognition processing component comprises the means for providing the speech recognition results to the result processing component.
| 0.617521 |
10,055,584 | 15 | 18 |
15. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a host computer device, causes the host computer device to: obtain at least one text string of characters sequence contained in program code lines of virus samples of a virus sample set; select a virus signatures candidate from the at least one text string of characters sequence according to a first frequency at which each of the at least one text string of characters sequence occurs in program code lines of non-virus samples of a non-virus sample set, and a second frequency at which each of the at least one text string of characters sequence occurs in the program code lines of virus samples of the virus sample set; calculate an information entropy of the virus signatures candidate, the information entropy consisting of a value calculated according to: a number of virus samples among the virus sample set containing the virus signatures candidate, a number of virus samples among the virus sample set not containing the virus signatures candidate, a number of non-virus samples among the non-virus sample set containing the virus signatures candidate, and a number of non-virus samples among the non-virus sample set not containing the virus signatures candidate; and determine whether the virus signatures candidate qualifies as a virus signature according to the calculated information entropy.
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15. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a host computer device, causes the host computer device to: obtain at least one text string of characters sequence contained in program code lines of virus samples of a virus sample set; select a virus signatures candidate from the at least one text string of characters sequence according to a first frequency at which each of the at least one text string of characters sequence occurs in program code lines of non-virus samples of a non-virus sample set, and a second frequency at which each of the at least one text string of characters sequence occurs in the program code lines of virus samples of the virus sample set; calculate an information entropy of the virus signatures candidate, the information entropy consisting of a value calculated according to: a number of virus samples among the virus sample set containing the virus signatures candidate, a number of virus samples among the virus sample set not containing the virus signatures candidate, a number of non-virus samples among the non-virus sample set containing the virus signatures candidate, and a number of non-virus samples among the non-virus sample set not containing the virus signatures candidate; and determine whether the virus signatures candidate qualifies as a virus signature according to the calculated information entropy. 18. The non-transitory computer-readable storage medium according to claim 15 , wherein the second frequency at which each of the at least one text string of characters sequence occurs in the non-virus sample set is determined by the instructions, when executed by the processor, causing the host computer device to: obtain a number of virus samples of the virus sample set containing each of the at least one text string of characters sequence; and calculate the second frequency at which each of the at least one text string of characters sequence occurs in the virus sample set according to the number of virus samples containing each of the at least one text string of characters sequence.
| 0.709556 |
9,665,657 | 16 | 18 |
16. A computing device comprising: a memory; and a processing device coupled to the memory, wherein the processing device is to: receive a request for a user interface (UI) document comprising a first set of media items, wherein a set of identifiers is associated with the UI document, the set of identifiers comprising a page identifier for the UI document and one or more identifiers of the first set of media items; obtain an identifier list for a second set of media items in a social share included in the UI document; compare the set of identifiers for the UI document with the identifier list for the social share to determine one or more media items in the second set of media items that are represented on the UI document; update the identifier list by removing identifiers of the one or more determined media items that are represented on the UI document; and modify the UI document to provide a representation associated with a first identifier from the updated identifier list for the second set of media items of the social share.
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16. A computing device comprising: a memory; and a processing device coupled to the memory, wherein the processing device is to: receive a request for a user interface (UI) document comprising a first set of media items, wherein a set of identifiers is associated with the UI document, the set of identifiers comprising a page identifier for the UI document and one or more identifiers of the first set of media items; obtain an identifier list for a second set of media items in a social share included in the UI document; compare the set of identifiers for the UI document with the identifier list for the social share to determine one or more media items in the second set of media items that are represented on the UI document; update the identifier list by removing identifiers of the one or more determined media items that are represented on the UI document; and modify the UI document to provide a representation associated with a first identifier from the updated identifier list for the second set of media items of the social share. 18. The computing device of claim 16 , wherein to update the identifier list in view of the set of identifiers, the processing device is to: for each identifier in the identifier list for the social share: determine whether an identifier is represented on the UI document in view of comparing the set of identifiers for the UI document with the identifier list for the social share, upon determining that the identifier is represented on the UI document in view of the comparing, remove the identifier from the identifier list, and upon determining that the identifier is not represented on the UI document in view of the comparing, keep the identifier in the identifier list.
| 0.579078 |
7,526,504 | 1 | 7 |
1. A system for consuming job information stored on a spool storage by a spooling module, the system comprising: a processing unit; and memory accessible to the processing unit, the memory comprising: logic configured to consume a data structure that specifies the job information from the spool storage, wherein the data structure defines a plurality of nodes organized into a hierarchical arrangement representing different aspects of the job information; first filter logic configured to process the job information when the job information conforms to the data structure and generate a first output result that conforms to the data structure; second filter logic configured to process the job information when the job information conforms to the data structure and generate a second output result that partially conforms to the data structure; and third filter logic configured to process the job information when the job information is arranged according to a non-structured format; wherein the first filter logic processes the job information while maintaining the data structure specifying the job information to generate the first output result for a first target entity, the first target entity configured to recognize and process the job information when arranged according to the data structure, wherein the second filter logic processes the job information to generate the second output result for a second target entity, the second target entity configured to recognize and process the job information when arranged at least partially according to the data structure, and wherein the third filter logic processes the job information when the job information is arranged according to a non-structured format to generate a third output result for a third target entity, the third target entity configured to recognize and process the job information when arranged according to the non-structured format.
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1. A system for consuming job information stored on a spool storage by a spooling module, the system comprising: a processing unit; and memory accessible to the processing unit, the memory comprising: logic configured to consume a data structure that specifies the job information from the spool storage, wherein the data structure defines a plurality of nodes organized into a hierarchical arrangement representing different aspects of the job information; first filter logic configured to process the job information when the job information conforms to the data structure and generate a first output result that conforms to the data structure; second filter logic configured to process the job information when the job information conforms to the data structure and generate a second output result that partially conforms to the data structure; and third filter logic configured to process the job information when the job information is arranged according to a non-structured format; wherein the first filter logic processes the job information while maintaining the data structure specifying the job information to generate the first output result for a first target entity, the first target entity configured to recognize and process the job information when arranged according to the data structure, wherein the second filter logic processes the job information to generate the second output result for a second target entity, the second target entity configured to recognize and process the job information when arranged at least partially according to the data structure, and wherein the third filter logic processes the job information when the job information is arranged according to a non-structured format to generate a third output result for a third target entity, the third target entity configured to recognize and process the job information when arranged according to the non-structured format. 7. The system of claim 1 , wherein the logic for consuming comprises logic configured to consume at least one resource node representing a resource to be processed by the spooling module.
| 0.539409 |
9,747,390 | 1 | 2 |
1. A method comprising: configuring, by a computer system, a data structure according to an ontology, wherein the data structure configured according to the ontology comprise a plurality of concepts that are organized in hierarchical layers and that are linked by a set of relationships; generating, by the computer system, an index representing stored content based on the data structure configured according to the ontology; receiving, by the computer system, a query comprising a natural language expression or a natural language question; parsing, by the computer system, the query into elements; annotating, by the computer system, the elements so that each element has an associated annotation, wherein the associated annotation defines the respective element as one or both of conceptual and canonical based on the ontology; comparing, by the computer system, a first condition of one or more rules from a rules dictionary against the elements and the associated annotations; comparing, by the computer system, a second condition of the one or more rules from the rules dictionary against peripheral information attributed to a querier, wherein the peripheral information is distinct from the query and is retrieved from a peripheral information repository; generating, by the computer system, an action list corresponding to one or more actions of the one or more rules based on whether the first condition and the second condition are satisfied, the action list comprising first search operator criteria that specifies a first scoring scope of search and second search operator criteria that specifies a second scoring scope of search, wherein the first scoring scope of search is different from the second scoring scope of search in order of priority and scoring; selecting, by the computer system and based on one or both of the first search operator criteria and the second search operator criteria in the action list, one or more retrieval technologies from a plurality of retrieval technologies, the plurality of retrieval technologies comprising a keyword searching technology, a document-level relevance-based searching technology, and an ontology-based searching technology; performing, by the computer system, the one or more actions, the one or more actions comprising using the selected one or more retrieval technologies to retrieve stored content represented in the index based on the elements and the associated annotations; and generating, by the computer system, a response to the query using the stored content retrieved based on the index.
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1. A method comprising: configuring, by a computer system, a data structure according to an ontology, wherein the data structure configured according to the ontology comprise a plurality of concepts that are organized in hierarchical layers and that are linked by a set of relationships; generating, by the computer system, an index representing stored content based on the data structure configured according to the ontology; receiving, by the computer system, a query comprising a natural language expression or a natural language question; parsing, by the computer system, the query into elements; annotating, by the computer system, the elements so that each element has an associated annotation, wherein the associated annotation defines the respective element as one or both of conceptual and canonical based on the ontology; comparing, by the computer system, a first condition of one or more rules from a rules dictionary against the elements and the associated annotations; comparing, by the computer system, a second condition of the one or more rules from the rules dictionary against peripheral information attributed to a querier, wherein the peripheral information is distinct from the query and is retrieved from a peripheral information repository; generating, by the computer system, an action list corresponding to one or more actions of the one or more rules based on whether the first condition and the second condition are satisfied, the action list comprising first search operator criteria that specifies a first scoring scope of search and second search operator criteria that specifies a second scoring scope of search, wherein the first scoring scope of search is different from the second scoring scope of search in order of priority and scoring; selecting, by the computer system and based on one or both of the first search operator criteria and the second search operator criteria in the action list, one or more retrieval technologies from a plurality of retrieval technologies, the plurality of retrieval technologies comprising a keyword searching technology, a document-level relevance-based searching technology, and an ontology-based searching technology; performing, by the computer system, the one or more actions, the one or more actions comprising using the selected one or more retrieval technologies to retrieve stored content represented in the index based on the elements and the associated annotations; and generating, by the computer system, a response to the query using the stored content retrieved based on the index. 2. The method of claim 1 , wherein the ontology comprises a hierarchical representation of the concepts and the set of relationships wherein each concept is defined as an expression and is identified as being in either a conceptual form or a canonical form.
| 0.5 |
9,390,080 | 7 | 8 |
7. The system of claim 6 , wherein the format element includes a color merge element, wherein an area on the display screen defined by two overlapping excon images, displays a color different from the colors unique to the two overlapping excon images.
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7. The system of claim 6 , wherein the format element includes a color merge element, wherein an area on the display screen defined by two overlapping excon images, displays a color different from the colors unique to the two overlapping excon images. 8. The system of claim 7 , wherein the color in the area on the display screen defined by two overlapping excon images, has a spectral relationship to each of the colors in the two overlapping excon images.
| 0.5 |
7,496,843 | 23 | 27 |
23. A web construction framework for constructing a controller component, a model component, and a presentation component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed by a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed by the web server, parses the table extensible markup language file and the object extensible markup language file and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations; an input field file stored on a computer readable medium defining a plurality of input field types and associated field formats; a server page template stored on a computer readable medium, the server page template is configured to serve as a baseline for deriving a server page; a script configured stored on a computer readable medium, that when executed by a processor, analyzes the input filed file, generates an input check based on the associated field formats, and installs the input check in the server page; wherein the presentation component of the web application comprises the server page, and wherein the server page, when the web application is executed on the web server and is accessed by a client browser, generates a hypertext markup language file including input fields validated by the input check based on the associated field format that the web application returns to the web browser.
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23. A web construction framework for constructing a controller component, a model component, and a presentation component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed by a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed by the web server, parses the table extensible markup language file and the object extensible markup language file and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations; an input field file stored on a computer readable medium defining a plurality of input field types and associated field formats; a server page template stored on a computer readable medium, the server page template is configured to serve as a baseline for deriving a server page; a script configured stored on a computer readable medium, that when executed by a processor, analyzes the input filed file, generates an input check based on the associated field formats, and installs the input check in the server page; wherein the presentation component of the web application comprises the server page, and wherein the server page, when the web application is executed on the web server and is accessed by a client browser, generates a hypertext markup language file including input fields validated by the input check based on the associated field format that the web application returns to the web browser. 27. The system of claim 23 wherein the site flow file template is an extensible markup language file.
| 0.810861 |
8,313,102 | 1 | 8 |
1. A current affair political apparatus for entertaining comprising: (a) a game board which includes a movement track divided into four colors wherein each color represents one year of a four year presidential term and each year is subdivided into a plurality of spaces bearing indicia to reflect a plurality of categories of political subjects; (b) a plurality of decks of a plurality of scenario cards with the front side bearing indicia to match the indicia of at least one of the said spaces on the said game board; (c) a deck of a plurality of cards with the front side bearing indicia to match the indicia bearing at least one place setting on the said game board; (d) a deck of a plurality of Voting Paddles comprising the front side representing affirmation and the back side representing rejection; (e) Political Party Pin-back Buttons bearing indicia of one of either two political parties; (f) a simulation of an official source wherein players retrieve talking points, referred to as Foreign Affairs Reference Manual, comprising statistics and notes on a plurality of countries, and a plurality of Alternative Energy Sources; (g) one of a plurality of score sheets referred to as the President's Personal Log comprising any combination of the following: Approval Rating log, Federal Budget log, Unemployment statistics, War Involvement, Party Makeup in Congress, a bills submitted to Congress chart, and a Voting Key; (h) a leader coin bearing indicia on both sides representing the Hippo and the Giraffe political party; (i) a plurality of place markers also referred to as pawns comprising at least one or any of the combinations Air Force One Jet, Limousine, Helicopter, Hummer, Tank, Submarine, Cruise Liner, Eagle, and Donkey; (j) a plurality of War chips; (k) a sixty-second and a thirty second sand timer; (l) and two dice; (m) an oval office device comprises: 1) a base unit comprising: A) a firm oval shaped panel made from non flexible material, wherein said oval shaped panel bears the indicia of an overlapping inlayed inner circle and a larger outer circle wherein both said circles share common center with said oval panel, wherein said outer circle further comprises: i. a diameter equal to width of said oval panel and, ii. a circumference bearing indicia representing time corresponding to player's marker position on said movement track, wherein said inner circle further comprises: i. four pie shaped quarters, wherein each said quarters are divided into four smaller equal pie sections colored to match the colors on the said movement track and, ii. indicia on each said smaller pie section bearing frequency rates that payments are made and aggregate dollar amounts paid during players' administrative terms, B) indicia on either lengthwise end of said oval panel bearing a ten column by four row table wherein the said table is populated with numerical information representing quantities of players' legislation passed into law; 2) an upper radial piece comprising: A) two rectangular slots, through which information on underneath said oval panel may be seen; B) a diameter length the same as diameter of said inlayed inner circle of said oval panel; C) a center that overlaps and intersects the center of said oval panel wherein circumference area of said larger inlayed outer circle of said oval panel is exposed; D) attachment device positioned at point of intersection (both centers), of the said oval panel and said upper radial piece wherein said upper radial piece rotates; E) indicia bearing single payment amount information corresponding to a plurality of scenario cards and; F) indicia bearing emblems representing political theme of the game board; (n) the assumption that each player is the President of their very own country of The United States of America; (o) the said President's Personal Log allows said player to track the progress of their administration during their term.
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1. A current affair political apparatus for entertaining comprising: (a) a game board which includes a movement track divided into four colors wherein each color represents one year of a four year presidential term and each year is subdivided into a plurality of spaces bearing indicia to reflect a plurality of categories of political subjects; (b) a plurality of decks of a plurality of scenario cards with the front side bearing indicia to match the indicia of at least one of the said spaces on the said game board; (c) a deck of a plurality of cards with the front side bearing indicia to match the indicia bearing at least one place setting on the said game board; (d) a deck of a plurality of Voting Paddles comprising the front side representing affirmation and the back side representing rejection; (e) Political Party Pin-back Buttons bearing indicia of one of either two political parties; (f) a simulation of an official source wherein players retrieve talking points, referred to as Foreign Affairs Reference Manual, comprising statistics and notes on a plurality of countries, and a plurality of Alternative Energy Sources; (g) one of a plurality of score sheets referred to as the President's Personal Log comprising any combination of the following: Approval Rating log, Federal Budget log, Unemployment statistics, War Involvement, Party Makeup in Congress, a bills submitted to Congress chart, and a Voting Key; (h) a leader coin bearing indicia on both sides representing the Hippo and the Giraffe political party; (i) a plurality of place markers also referred to as pawns comprising at least one or any of the combinations Air Force One Jet, Limousine, Helicopter, Hummer, Tank, Submarine, Cruise Liner, Eagle, and Donkey; (j) a plurality of War chips; (k) a sixty-second and a thirty second sand timer; (l) and two dice; (m) an oval office device comprises: 1) a base unit comprising: A) a firm oval shaped panel made from non flexible material, wherein said oval shaped panel bears the indicia of an overlapping inlayed inner circle and a larger outer circle wherein both said circles share common center with said oval panel, wherein said outer circle further comprises: i. a diameter equal to width of said oval panel and, ii. a circumference bearing indicia representing time corresponding to player's marker position on said movement track, wherein said inner circle further comprises: i. four pie shaped quarters, wherein each said quarters are divided into four smaller equal pie sections colored to match the colors on the said movement track and, ii. indicia on each said smaller pie section bearing frequency rates that payments are made and aggregate dollar amounts paid during players' administrative terms, B) indicia on either lengthwise end of said oval panel bearing a ten column by four row table wherein the said table is populated with numerical information representing quantities of players' legislation passed into law; 2) an upper radial piece comprising: A) two rectangular slots, through which information on underneath said oval panel may be seen; B) a diameter length the same as diameter of said inlayed inner circle of said oval panel; C) a center that overlaps and intersects the center of said oval panel wherein circumference area of said larger inlayed outer circle of said oval panel is exposed; D) attachment device positioned at point of intersection (both centers), of the said oval panel and said upper radial piece wherein said upper radial piece rotates; E) indicia bearing single payment amount information corresponding to a plurality of scenario cards and; F) indicia bearing emblems representing political theme of the game board; (n) the assumption that each player is the President of their very own country of The United States of America; (o) the said President's Personal Log allows said player to track the progress of their administration during their term. 8. The said decks of a plurality of cards bearing indicia to match the game board of claim 1 comprises the category Party Ratio.
| 0.971644 |
4,860,219 | 21 | 32 |
21. A printing system comprising: (a) a processing unit having an input for receiving data and commands specifying operations to be performed, the processing unit sequentially issuing commands specifying that an individual character from a specified font is to be retrieved from storage where the character is stored as a matrix of pixels in a series of addressed words with each word having a plurality of pixels, processing each retrieved word of each character to position each word with respect to a word storage location where each individual character is to be stored within a memory for storing a page of information to be printed and specifying an address where a first word of each character will be stored in the memory for storing a page of information; (b) a font storage means, coupled to the processing unit, including a font storage memory for storing at least one font of characters each comprised of a plurality of characters to be retrieved and for processing a command issued from the processing unit that a specified character from a specified font is to be retrieved to cause the words of the specified character to be sequentially fetched from storage in the font storage memory by addresses generated by the font storage means and transmitted to the processing unit; (c) a raster storage means, coupled to the processing unit, including a page memory for storing the processed words defining each character sent from the processing unit to create pages of information to be printed, the raster storage means having means for generating the addresses of word locations within the page memory where each of the words of a character are to be stored and causing the storage of the words of each character in a page at the generated addresses, the means for generating the addresses specifying that the first word of each character is stored at the address specified by the processing unit and that all subsequent words of each character are stored within the page memory at addresses generated by the means for generating addresses independently of the operation of the processing unit; and (d) a printing means, coupled to the raster storage means, for sequentially printing pages of information stored in the page memory on a printing medium.
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21. A printing system comprising: (a) a processing unit having an input for receiving data and commands specifying operations to be performed, the processing unit sequentially issuing commands specifying that an individual character from a specified font is to be retrieved from storage where the character is stored as a matrix of pixels in a series of addressed words with each word having a plurality of pixels, processing each retrieved word of each character to position each word with respect to a word storage location where each individual character is to be stored within a memory for storing a page of information to be printed and specifying an address where a first word of each character will be stored in the memory for storing a page of information; (b) a font storage means, coupled to the processing unit, including a font storage memory for storing at least one font of characters each comprised of a plurality of characters to be retrieved and for processing a command issued from the processing unit that a specified character from a specified font is to be retrieved to cause the words of the specified character to be sequentially fetched from storage in the font storage memory by addresses generated by the font storage means and transmitted to the processing unit; (c) a raster storage means, coupled to the processing unit, including a page memory for storing the processed words defining each character sent from the processing unit to create pages of information to be printed, the raster storage means having means for generating the addresses of word locations within the page memory where each of the words of a character are to be stored and causing the storage of the words of each character in a page at the generated addresses, the means for generating the addresses specifying that the first word of each character is stored at the address specified by the processing unit and that all subsequent words of each character are stored within the page memory at addresses generated by the means for generating addresses independently of the operation of the processing unit; and (d) a printing means, coupled to the raster storage means, for sequentially printing pages of information stored in the page memory on a printing medium. 32. A printing system in accordance with claim 21, further comprising: (a) means, coupled between the raster storage means and the printing means, for causing the reading out of words stored in a page memory in either a first direction or a second direction, the first direction being in a direction from a first line of a page thru a last line of a page with each line being read in a direction from a lowest addressed word to a highest addressed word and the second direction being in a direction from the last line thru the first line with each line being read in a direction from the highest addressed word to the lowest addressed word, each page having an address field extending between a minimum address and a maximum address with subaddress fields contained between the maximum and minimum addresses being readable in either the first or second detection; and wherein (b) the printing means prints pages of information stored in the page memory in a single direction from the top to the bottom of the printing medium on a side of the printing medium to be printed as fed to a printing station.
| 0.5 |
8,825,583 | 5 | 6 |
5. The system of claim 4 , wherein the statistical facts is at least one of an energy use per period of time, variations in energy usage per period of time, and a baseload energy.
|
5. The system of claim 4 , wherein the statistical facts is at least one of an energy use per period of time, variations in energy usage per period of time, and a baseload energy. 6. The system of claim 5 , wherein the period of time is one or more of 1 hour, 1 day, 1 week, 1 month and 1 year.
| 0.5 |
7,890,465 | 9 | 10 |
9. The method of claim 8 wherein said encrypting employs asymmetric encrypting.
|
9. The method of claim 8 wherein said encrypting employs asymmetric encrypting. 10. The method of claim 9 wherein said asymmetric encrypting employs a public key.
| 0.57732 |
8,024,280 | 20 | 24 |
20. The computer-readable storage medium of claim 16 : wherein the text comprises an answer to a question; wherein the first analysis involves causing the text to be processed through a first filter that is based on a first selected set of rules; wherein the second analysis involves causing the text to be processed through a second filter that is based on a second selected set of rules.
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20. The computer-readable storage medium of claim 16 : wherein the text comprises an answer to a question; wherein the first analysis involves causing the text to be processed through a first filter that is based on a first selected set of rules; wherein the second analysis involves causing the text to be processed through a second filter that is based on a second selected set of rules. 24. The computer-readable storage medium of claim 20 , further comprising instructions for applying different weights to the first and second numerical values to generate the third numerical value.
| 0.739418 |
8,707,172 | 7 | 8 |
7. A computer readable storage medium having executable program code stored thereon instructing a microprocessor to perform steps to internationalize a target program, the executable program code comprising: computer readable code configured to execute as an internationalize method in the target program, wherein the target program includes a user interface element annotation for associating a text string in the annotation with an attribute of a user-interface element by including the text string in the user interface element annotation configured in the non-executable annotation syntax, wherein the internationalize method instructs the microprocessor to cause the text string in the target computer program's user interface element annotation to be displayed on the attribute for a displayed instance of the user interface element, wherein executing the internationalize method obtains the displayed text string directly from the text string of the user interface element annotation.
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7. A computer readable storage medium having executable program code stored thereon instructing a microprocessor to perform steps to internationalize a target program, the executable program code comprising: computer readable code configured to execute as an internationalize method in the target program, wherein the target program includes a user interface element annotation for associating a text string in the annotation with an attribute of a user-interface element by including the text string in the user interface element annotation configured in the non-executable annotation syntax, wherein the internationalize method instructs the microprocessor to cause the text string in the target computer program's user interface element annotation to be displayed on the attribute for a displayed instance of the user interface element, wherein executing the internationalize method obtains the displayed text string directly from the text string of the user interface element annotation. 8. The computer readable storage medium of claim 7 , wherein the target program includes a resource bundle annotation defining a name for a resource bundle to which the text string of the user interface element annotation may be extracted, wherein obtaining the displayed text string comprises: extracting the text string from the user interface element annotation by executing the internationalize method, and wherein the executable program code of the computer readable storage medium comprises: computer readable code configured as an annotation processor to process source code of the target program, including processing the user interface element annotation and resource bundle annotation, and create the resource bundle responsive to processing the user interface element annotation and resource bundle annotation.
| 0.5 |
7,570,261 | 5 | 10 |
5. The computer-implemented system of claim 1 , wherein the actual city elements are selected from the group consisting of: businesses, buildings, attractions, services, facilities, objects, and inhabitants.
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5. The computer-implemented system of claim 1 , wherein the actual city elements are selected from the group consisting of: businesses, buildings, attractions, services, facilities, objects, and inhabitants. 10. The computer-implemented system of claim 5 , wherein the facilities are selected from the group consisting of: plazas, squares, convention centers, convocation centers, stadiums and arenas, airports, train stations, bus depots and taxi stands.
| 0.763862 |
7,823,054 | 9 | 10 |
9. The method of claim 8 , further comprising: accessing a second document presentation from the first search result page; in response to a second input, without having to select from a menu of document presentations, directly retrieving the first search result page from the recorded second location; and redisplaying the first search result page in the window.
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9. The method of claim 8 , further comprising: accessing a second document presentation from the first search result page; in response to a second input, without having to select from a menu of document presentations, directly retrieving the first search result page from the recorded second location; and redisplaying the first search result page in the window. 10. The method of claim 9 , wherein after the first search result is redisplayed, the method further comprises: in response to the first input, without having to select from a menu of document presentations, directly retrieving the first document presentation from the recorded first location; and displaying the first document presentation in the window.
| 0.5 |
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