Abstract: When retrieving specific text from a search target document, an information processing apparatus receives text, generates a semantic structure indicating a meaning of a word that is included in the received text, by subjecting the received text to semantic analysis, identifies a word that is associated with the generated semantic structure, by referring to a synonym dictionary that stores a word and semantic structure indicating a meaning of the word in an associated manner, determines whether the identified word is included in the search target document, and outputs information according to a determination result.

Abstract: A determination method executed by a computer including a memory and a processor coupled to the memory, includes receiving a plurality of sentences and designation of terms included in the plurality of sentences, generating, for each term for which the designation is received, information indicating a relation between the term and each of other terms included in one of the plurality of sentences containing the term, extracting, for each term for which the designation is received, information indicating a specific relation from the generated information indicating the relation, generating characteristic information that uses the extracted information as a feature, and determining similarity between a plurality of the terms based on the generated characteristic information for each term.

Abstract: An information processing apparatus encodes text data by using a word dictionary that allocates each of a plurality of words in a word group to a corresponding code and generates a count map indicating an appearance frequency of the plurality of words in the word group in the text data. The information processing apparatus associates the count map with encoded text data and stores it to a storage unit.

Abstract: An information processing apparatus encodes text data by using a word dictionary that allocates each of a plurality of words in a word group to a corresponding code and generates a count map indicating an appearance frequency of the plurality of words in the word group in the text data. The information processing apparatus associates the count map with encoded text data and stores it to a storage unit.

Abstract: A determination method executed by a computer including a memory and a processor coupled to the memory, includes receiving a plurality of sentences and designation of terms included in the plurality of sentences, generating, for each term for which the designation is received, information indicating a relation between the term and each of other terms included in one of the plurality of sentences containing the term, extracting, for each term for which the designation is received, information indicating a specific relation from the generated information indicating the relation, generating characteristic information that uses the extracted information as a feature, and determining similarity between a plurality of the terms based on the generated characteristic information for each term.

Abstract: When retrieving specific text from a search target document, an information processing apparatus receives text, generates a semantic structure indicating a meaning of a word that is included in the received text, by subjecting the received text to semantic analysis, identifies a word that is associated with the generated semantic structure, by referring to a synonym dictionary that stores a word and semantic structure indicating a meaning of the word in an associated manner, determines whether the identified word is included in the search target document, and outputs information according to a determination result.

Abstract: An information processing device receives sentence data. The information processing device generates sets of information, each of the sets indicating a relationship between each of words included in the received sentence data and another word among the words by executing a semantic analysis process on the words. The information processing device determines a similarity between the words based on a similarity between the generated the sets of information. The information processing device outputs a result of the determining.

Abstract: An information processing system comprising a storage device and an information processing device, wherein the information processing device includes a data holding unit which holds first data, a first detection unit which detects a first state of access, and a transmission unit which transmits the first state of access detected by the first detection unit to the storage device, and the storage device includes a storage unit which stores second data, a reception unit which receives the first state of access transmitted from the transmission unit, a second detection unit which detects a second state of access, which is a state of access to the second data, and a control unit which rearranges the second data in the storage unit on the basis of the states of access.

Abstract: The information matching apparatus includes: a training data setting unit that sets supervised data in a machine learning device of supervised learning that learns judgment criteria used for a judgment of identicalness, similarity, and relevance between a plurality of records by matching the records configured by sets of values corresponding to items; a check point setting unit that sets a check point configured by one set of two records used for evaluating the set supervised data; and a learning result evaluation unit, for the set check point, acquires a change between a judgment result using judgment criteria derived as a result of learning based on set first supervised data and a judgment result using judgment criteria derived as a result of learning based on set second supervised data set and evaluates the supervised data based on the acquired change.

Abstract: A server apparatus is provided for collecting log information from a plurality of servers that execute a series of processes in response to a first request from a client apparatus. The server apparatus receives, from a first server that is included in the plurality of servers and has executed a first process of the series of processes, a second request for executing a second process of the series of processes, where the first request includes first log information that is outputted from the first server when the first process is executed by the first server. The server apparatus executes the second process while outputting second log information indicating an execution history of the second process, and controls writing of the first and second log information into a predetermined storage area provided in association with the client apparatus.

Abstract: A computer-readable, non-transitory medium storing a character string comparison program is provided. The program causes, when executed by a computer, the computer to perform a process including splitting a first character string and a second character string into words; acquiring information including a semantic attribute that represents a semantic nature of each of the words and a conceptual code that semantically indentifies said each of the words, from a storage device; identifying a pair of the words having a common semantic attribute between the first character string and the second character string; comparing the conceptual codes of the specified pair of the words between the first character string and the second character string; and generating a comparison result between the first character string and the second character string based upon a comparison result of the conceptual codes.

Abstract: An information processing apparatus encodes text data by using a word dictionary that allocates each of a plurality of words in a word group to a corresponding code and generates a count map indicating an appearance frequency of the plurality of words in the word group in the text data. The information processing apparatus associates the count map with encoded text data and stores it to a storage unit.

Abstract: The information matching apparatus includes: a training data setting unit that sets supervised data in a machine learning device of supervised learning that learns judgment criteria used for a judgment of identicalness, similarity, and relevance between a plurality of records by matching the records configured by sets of values corresponding to items; a check point setting unit that sets a check point configured by one set of two records used for evaluating the set supervised data; and a learning result evaluation unit, for the set check point, acquires a change between a judgment result using judgment criteria derived as a result of learning based on set first supervised data and a judgment result using judgment criteria derived as a result of learning based on set second supervised data set and evaluates the supervised data based on the acquired change.

Abstract: An information matching apparatus includes a target DB corresponding to a check target that stores therein records; a narrow-down condition creating unit that combines, in accordance with values of check items in a check source record using AND, a search condition defined by a search definition indicating a condition for excluding candidates in check target records that are less likely to have a similarity to or a relationship with a name identification source record and each grouping condition defined by a grouping definition indicating a condition for limiting a checking area of the check target records to create a narrow-down condition for narrowing down the check target records; and a searching unit that searches the target DB corresponding to the check target for a check target record in accordance with the created narrow-down condition.

Abstract: A processing system that implements physical integration, virtual integration, and stream integration by defining meta-information correlating a physical model on an information source side and a logical model on a user-side and by selectively executing push-type information integration of returning to the user-side, an integration result according to information input from the information source side and pull-type information integration of returning to the user-side, an integration result according a query from the user-side.

Abstract: The information matching apparatus includes calculating matching result values representing identicalness, similarity, and relevance between a plurality of records by matching the plurality of records based on a judgment criteria, each of the plurality of records including sets of values corresponding to items, generating frequency distribution information in which the calculated matching result values are used as classes and determining the judgment criteria for whether the records matches or not based on the generated frequency distribution information.

Abstract: An information processing system comprising a storage device and an information processing device, wherein the information processing device includes a data holding unit which holds first data, a first detection unit which detects a first state of access, and a transmission unit which transmits the first state of access detected by the first detection unit to the storage device, and the storage device includes a storage unit which stores second data, a reception unit which receives the first state of access transmitted from the transmission unit, a second detection unit which detects a second state of access, which is a state of access to the second data, and a control unit which rearranges the second data in the storage unit on the basis of the states of access.

Abstract: A computer-readable, non-transitory medium storing a character string comparison program is provided. The program causes, when executed by a computer, the computer to perform a process including splitting a first character string and a second character string into words; acquiring information including a semantic attribute that represents a semantic nature of each of the words and a conceptual code that semantically indentifies said each of the words, from a storage device; identifying a pair of the words having a common semantic attribute between the first character string and the second character string; comparing the conceptual codes of the specified pair of the words between the first character string and the second character string; and generating a comparison result between the first character string and the second character string based upon a comparison result of the conceptual codes.

Abstract: A storage unit stores rule information that includes information indicating a plurality of operations based on event data. A computing unit searches the rule information to find information indicating a first operation, information indicating an operation of a condition determination that is executable regardless of the result of the first operation, and information indicating a second operation that is associated with the condition determination and uses the result of the first operation. The computing unit generates control information for controlling the execution order of the operations such that the first operation is executed in accordance with the result of the condition determination and such that the second operation is executed after the first operation. When the event data is input, the computing unit executes an operation corresponding to the input event data, based on the control information.

Abstract: A computer-readable, non-transitory medium storing a character string comparison program is provided. The program causes, when executed by a computer, the computer to perform a process including splitting a first character string and a second character string into words; acquiring information including a semantic attribute that represents a semantic nature of each of the words and a conceptual code that semantically identifies said each of the words, from a storage device; identifying a pair of the words having a common semantic attribute between the first character string and the second character string; comparing the conceptual codes of the specified pair of the words between the first character string and the second character string; and generating a comparison result between the first character string and the second character string based upon a comparison result of the conceptual codes.