Abstract: A learning device sets each search range that is a part of a graph in which a plurality of nodes are connected by a plurality of edges, for each start node of one or more start nodes in the graph, on the basis of a set problem and relevance of an attribute of each of one or more nodes or edges connected to the each start node, generates an evaluation value of each of the one or more nodes and edges included in the each search range on the basis of a learning result by a learning model of the set problem, updates the one or more nodes and edges of the each search range on the basis of the evaluation value corresponding to the each search range and the relevance of the attribute corresponding to the each search range and the set problem, and performs a search.

Abstract: A method includes receiving a designation of one or more first items that are to be included in a new table from a user, specifying, based on metadata related to second items included in each of a plurality of existing tables, an existing table from among the plurality of existing tables, the existing table including at least one of the designated one or more first items in the second items, specifying, based on other metadata related to an input item and an output item accompanied with execution of each of a plurality of programs, a program from among the plurality of programs, the program causing the designated one or more first items to be output as the output item when one of the second items included in the specified existing table is input as the input item, and outputting the specified existing table and the specified program.

Abstract: A detection method includes: executing first processing that includes determining whether or not at least any of one or more attribute values included in an input class corresponds to any of one or more conditions defined in a subject class; executing second processing that includes determining whether or not at least any of the one or more attribute values included in the input class corresponds to a negation class including one or more second conditions that contradict the one or more conditions defined in the subject class; and executing third processing that includes outputting information relating to the input class determined as non-corresponding by the second processing when both a determination result in the first processing and a determination result in the second processing are non-corresponding.

Abstract: A method includes acquiring one or a plurality of first tables including a first data group regarding a first item, acquiring a second table corresponding to a result of executing a program with the one or the plurality of first tables set as an input, the second table including a second item and a second data group, generating, when a first name of the first item and a second name of the second item have a relationship in which the first name partially matches the second name, first information indicating the relationship between the first name and the second name while defining parts that partially match, registering the first information in a memory as metadata for the program, the metadata indicating a relationship between the one or the plurality of first tables set as the input and the second table set as an output.

Abstract: A learning device sets each search range that is a part of a graph in which a plurality of nodes are connected by a plurality of edges, for each start node of one or more start nodes in the graph, on the basis of a set problem and relevance of an attribute of each of one or more nodes or edges connected to the each start node, generates an evaluation value of each of the one or more nodes and edges included in the each search range on the basis of a learning result by a learning model of the set problem, updates the one or more nodes and edges of the each search range on the basis of the evaluation value corresponding to the each search range and the relevance of the attribute corresponding to the each search range and the set problem, and performs a search.

Abstract: A detection method includes: executing first processing that includes determining whether or not at least any of one or more attribute values included in an input class corresponds to any of one or more conditions defined in a subject class; executing second processing that includes determining whether or not at least any of the one or more attribute values included in the input class corresponds to a negation class including one or more second conditions that contradict the one or more conditions defined in the subject class; and executing third processing that includes outputting information relating to the input class determined as non-corresponding by the second processing when both a determination result in the first processing and a determination result in the second processing are non-corresponding.

Abstract: An evaluation apparatus acquires estimated values of values indicating certain feature of a plurality of entities, respectively. Next, the evaluation apparatus determines, among the plurality of entities, entities, each of which is associated with the same value as a corresponding estimated value by specified relation information, to be first entities and holds the specified relation information. Next, the evaluation apparatus determines, among the plurality of entities, entities, each of which is associated with a value different from a corresponding estimated value by the specified relation information, to be second entities. Next, the evaluation apparatus calculates a concordance rate between the estimated values for the respective entities and the values associated with the respective entities by the specified relation information, based on the number of first entities and the number of second entities.

Abstract: A method includes receiving a designation of one or more first items that are to be included in a new table from a user, specifying, based on metadata related to second items included in each of a plurality of existing tables, an existing table from among the plurality of existing tables, the existing table including at least one of the designated one or more first items in the second items, specifying, based on other metadata related to an input item and an output item accompanied with execution of each of a plurality of programs, a program from among the plurality of programs, the program causing the designated one or more first items to be output as the output item when one of the second items included in the specified existing table is input as the input item, and outputting the specified existing table and the specified program.

Abstract: A method includes acquiring one or a plurality of first tables including a first data group regarding a first item, acquiring a second table corresponding to a result of executing a program with the one or the plurality of first tables set as an input, the second table including a second item and a second data group, generating, when a first name of the first item and a second name of the second item have a relationship in which the first name partially matches the second name, first information indicating the relationship between the first name and the second name while defining parts that partially match, registering the first information in a memory as metadata for the program, the metadata indicating a relationship between the one or the plurality of first tables set as the input and the second table set as an output.

Abstract: An information processing apparatus extracts records about which a matching relation of pieces of attribute data among records satisfies a certain condition. Based on an extraction result, the information processing apparatus outputs a determination result of an inter-attribute semantic relation.

Abstract: An acceptance unit accepts a focus and a standpoint from a user, and a page screen generation unit acquires a page screen definition on the basis of the standpoint. A gadget screen generation unit then uses a plurality of gadget definitions included in the page screen definition to generate a plurality of pieces of gadget screen data. A screen display unit thereafter displays a screen including the plurality of gadget screens. When a company corresponds to the focus and a vendor organization corresponds to the standpoint, for example, a search unit displays on the gadget screen a pie chart representing a sum of order volume by each orderer, a pie chart representing a sum of order volume by each orderer including affiliated companies, and an organization chart.

Abstract: A method for inter-gadget display cooperation acquires a first query processing result using a first gadget to which first query processing allocated and acquires a second query processing result using a second gadget to which second query processing allocated. Then, the method applies a common display mode to objects, which are included in the acquired first query processing result and the second query processing result and of which display modes are to be common between the first gadget and the second gadget, in a display corresponding to the first gadget and in a display corresponding to the second gadget.

Abstract: An information searching apparatus retrieves a sub graph matching an inquiry graph from a graph to be searched. The apparatus includes an extracting unit that extracts, from among clusters of nodes in the graph to be searched, plural cluster pairs that each include a first cluster and a second cluster including a node linked by a link to a node in the first cluster and a calculating unit that calculates a bonding strength for each of the cluster pairs. The apparatus further includes a determining unit that determines, among the cluster pairs and based on the bonding strength of each of the cluster pairs, a cluster pair to be merged; a merging unit that merges the cluster pair; and a searching unit that searches the merged clusters for a sub graph matching the inquiry graph. An output unit outputs a search result of the searching unit.

Abstract: An information searching apparatus retrieves a sub graph matching an inquiry graph from a graph to be searched. The apparatus includes an extracting unit that extracts, from among clusters of nodes in the graph to be searched, plural cluster pairs that each include a first cluster and a second cluster including a node linked by a link to a node in the first cluster and a calculating unit that calculates a bonding strength for each of the cluster pairs. The apparatus further includes a determining unit that determines, among the cluster pairs and based on the bonding strength of each of the cluster pairs, a cluster pair to be merged; a merging unit that merges the cluster pair; and a searching unit that searches the merged clusters for a sub graph matching the inquiry graph. An output unit outputs a search result of the searching unit.

Abstract: An information searching apparatus retrieves a sub graph matching an inquiry graph from a graph to be searched. The apparatus includes an extracting unit that extracts, from among clusters of nodes in the graph to be searched, plural cluster pairs that each include a first cluster and a second cluster including a node linked by a link to a node in the first cluster and a calculating unit that calculates a bonding strength for each of the cluster pairs. The apparatus further includes a determining unit that determines, among the cluster pairs and based on the bonding strength of each of the cluster pairs, a cluster pair to be merged; a merging unit that merges the cluster pair; and a searching unit that searches the merged clusters for a sub graph matching the inquiry graph. An output unit outputs a search result of the searching unit.

Abstract: An information retrieval terminal provides keywords to an information retrieval device and instructs it to retrieve by using such keywords. The information retrieval terminal includes an information collector for collecting screen information, image information, and voice information around the information retrieval terminal and for obtaining text information from the collected information. A keyword-candidate extracting unit extracts a word related to a retrieval word input by a retriever from the text information obtained by the information collector, and sets the extracted word to be a keyword candidate. A retrieval instructing unit gives an instruction to retrieve by using the retrieval word and the keyword candidate set by the keyword-candidate extracting unit as keywords.

Abstract: An information searching apparatus retrieves a sub graph matching an inquiry graph from a graph to be searched. The apparatus includes an extracting unit that extracts, from among clusters of nodes in the graph to be searched, plural cluster pairs that each include a first cluster and a second cluster including a node linked by a link to a node in the first cluster and a calculating unit that calculates a bonding strength for each of the cluster pairs. The apparatus further includes a determining unit that determines, among the cluster pairs and based on the bonding strength of each of the cluster pairs, a cluster pair to be merged; a merging unit that merges the cluster pair; and a searching unit that searches the merged clusters for a sub graph matching the inquiry graph. An output unit outputs a search result of the searching unit.

Abstract: A delegation mediating apparatus which presents a voter who wants to collect delegations to another voter who is looking for a delegatee, in a decision to be made by voting by multiple voters, the apparatus including, voting history storage unit for storing each voter's past voting history in a voting history storage unit, similarity degree calculation unit for calculating a degree of voting action similarity between the voter who wants to collect delegations and the other voter who is looking for a delegatee, with the use of the past voting history stored in the voting history storage unit, and delegatee presentation unit for presenting the voter who wants to collect delegations if the degree of similarity to the other voter who is looking for a delegatee is high, to the other voter who is looking for a delegatee.

Abstract: Based on reference information of a structured-document application program, structure information and contents of a structured document to be delivered are specified separately. Based on the specification, the structure information and the contents are obtained from a database which stores the structured document, to generate the structured document to be delivered. The generated structured document is delivered to the structured-document application program.

Abstract: An information retrieval terminal provides keywords to an information retrieval device and instructs it to retrieve by using such keywords. The information retrieval terminal includes an information collector for collecting screen information, image information, and voice information around the information retrieval terminal and for obtaining text information from the collected information. A keyword-candidate extracting unit extracts a word related to a retrieval word input by a retriever from the text information obtained by the information collector, and sets the extracted word to be a keyword candidate. A retrieval instructing unit gives an instruction to retrieve by using the retrieval word and the keyword candidate set by the keyword-candidate extracting unit as keywords.