Abstract: An information processing system includes: a trading network obtaining unit configured to obtain a trading network in which a plurality of nodes are connected together by an edge indicating a trading relationship; a vector obtaining unit configured to select any one of the plurality of nodes as a vector-calculation target node, and to determine, for each of the plurality of nodes, a complex vector by assigning a complex number, a supply chain extracting unit configured to extract a supply chain network in accordance with the complex vector indicating each of the plurality of nodes, the supply chain network being a part of the trading network; and a tag-transition-diagram generating unit configured to generate a tag transition diagram in accordance with a tag given to nodes included in the supply chain network of the plurality of nodes, the tag transition diagram showing information about the tag in the supply chain network.

Abstract: An information processing system includes, a supply-chain-network obtaining unit configured to obtain a supply chain network in which a plurality of nodes each corresponding to one of a plurality of companies are connected together through links, a subnetwork extracting unit configured to extract a subnetwork including at least one of an upstream subnetwork and a downstream subnetwork, the upstream subnetwork including an upstream company that supplies the product to a company corresponding to a processing target node among the plurality of companies, the downstream subnetwork including a downstream company that is supplied with the product from the company corresponding to the processing target node, a vector obtaining unit configured to determine a complex vector representing the processing target node, and a similarity calculating unit configured to calculate a similarity between two of the plurality of nodes in accordance with the two complex vectors corresponding to the two nodes.

Abstract: An information processing system includes: a supply chain network obtaining unit obtaining a supply chain network in which a plurality of nodes, each corresponding to one of a plurality of companies, are connected together with links; a subnetwork extracting unit extracting, from the supply chain network, a subnetwork including at least one of an upstream subnetwork including an upstream company supplying a first company with a product, or a downstream subnetwork including a downstream company supplied with the product from the first company; a path extracting unit extracting a path group including one or more paths in the subnetwork, the one or more paths connecting a node representing the first company and a node representing a second company with one or more of the links; and a redrawing unit redrawing the path group extracted by the path extracting unit.

Abstract: An information processing system analyzes an influence level for each of a plurality of higher nodes to which a particular one of a plurality of nodes is directly or indirectly linked based on at least one of the capital contribution ratios that is assigned to a path along which one of the capital investment relations from the particular node is traced, by using a capital contribution ratio in the particular node as an index. When the capital contribution ratio of one of two or more of the plurality of higher nodes to which an analysis target node that is a target in analyzing the influence level is linked is in excess of half, the analysis unit analyzes the one higher node the capital contribution ratio of which is in excess of half to be effectively controlling the analysis target node.

Abstract: An information processing system includes: a supply chain network obtaining unit obtaining a supply chain network in which a plurality of nodes are connected together with a plurality of links, the plurality of nodes corresponding to a plurality of companies and provided with attributes, the attributes including industrial classifications of the companies and related to the companies, and the plurality of links representing trading relationships associating a company to provide a product and a company to receive the product; and a vector representation calculating unit calculating a plurality of vector representations each corresponding to one of the plurality of nodes, and each representing a feature amount of one of the plurality of nodes, by application of a graph embedding technique to the supply chain network.

Abstract: An information processing system includes: a supply chain network acquisition section configured to acquire a supply chain network, in which a plurality of nodes corresponding to a plurality of companies are linked based on open information; an input receiving section configured to receive a selection operation of selecting any of the plurality of companies as a company of interest; a sub-network extraction section configured to perform a process of extracting, from the supply chain network, a sub-network including either one or both of an upstream sub-network and a downstream sub-network; a company-of-special-interest identifying section configured to identify a company of special interest that meets a given condition in the sub-network; and a presentation processing section configured to perform a process of presenting information on the company of special interest.

Abstract: An information processing system includes: an entity network obtaining unit configured to obtain an entity network; an influence level calculation unit configured to perform an influence level calculation process based on the entity network; a strategy determining unit configured to present strategies taken by the first entity and receive a selection of any of the presented strategies to determine a selected strategy; and a strategy interpretation unit configured to determine a constraint for the influence level calculation process based on the selected strategy; and an evaluation processing unit. The influence level calculation unit calculates a first influence level under no constraint and a second influence level under the constraint, and the evaluation processing unit evaluates the selected strategy on the basis of a comparison between the first influence level and the second influence level.

Abstract: It is provided a clinical test support system, comprising an arithmetic unit and a storage device coupled to the arithmetic unit, and a visit plan preparation unit to prepare a visit plan for the execution facility of a clinical development monitor; and a prediction unit to calculate the evaluation index of the visit plan. The storage device stores evaluation index information including the record of information for the evaluation of the visit plan and a risk evaluation model including the record of the risk evaluation result of each execution facility. The prediction unit calculates an evaluation index used to execute the visit plan prepared by the visit plan preparation unit by referring to the evaluation index information and the risk evaluation model; and output a visit plan selected based on the evaluation index.

Abstract: Upon evaluation of a value of a diagnostic process, the value of a diagnostic process is evaluated not based on a simple cost but on a cost required for all processes of a patient who was in the diagnostic process through a follow-up survey. Diagnostic processes that are not relevant to a target diagnostic process are eliminated, clustering is performed on patients to divide the patients into clinically meaningful homogeneous groups, and the target diagnostic process is evaluated for each of the homogeneous groups. For the purpose, importance scores of data pieces of the clinical data are calculated and the relevant data is output using the output result of the medical knowledge extraction unit, clustering is performed on patients in the clinical data, and a clinical index and a cost are output for each of the clusters.

Abstract: Upon evaluation of a value of a diagnostic process, the value of a diagnostic process is evaluated not based on a simple cost but on a cost required for all processes of a patient who was in the diagnostic process through a follow-up survey. Diagnostic processes that are not relevant to a target diagnostic process are eliminated, clustering is performed on patients to divide the patients into clinically meaningful homogeneous groups, and the target diagnostic process is evaluated for each of the homogeneous groups. For the purpose, importance scores of data pieces of the clinical data are calculated and the relevant data is output using the output result of the medical knowledge extraction unit, clustering is performed on patients in the clinical data, and a clinical index and a cost are output for each of the clusters.

Abstract: Ordering is properly performed for document databases registered in an associative search server. In an associative search server capable of performing an associative search by correlating a plurality of document databases, the history of the associative search is stored as an associative search recording table by associative search recording table storing means. By using this associative search recording table, a showing order of document databases presented by document database selecting means is properly set by showing order changing means. Alternatively, by registration fee calculating means, calculation is properly carried out as to registration fees of the document database registered in the associative search server.

Abstract: Both a first kind of terms and a second kind of terms are designated. A user desires to obtain a relationship between these terms. By employing relations between these terms having been previously stored in a storage in advance, the manner in which these terms are correlated is dynamically displayed, while nodes and edges are gradually increased. In this manner, relations are easily found for concepts (terms) that seem not to be correlated, and an efficient search can also be performed.

Abstract: This invention provides a method for processing information that allows the discovery of a correlation between predetermined individual-related information and nucleotide sequence-related information concerning an individual.

Abstract: A system for displaying the results of a search provided by one of two different search systems enabling continuous searching. One search system includes a search takeover data production command used to output search takeover data articles from the search. The other search system includes a search takeover data reading command used to read search takeover data. A document identifier correspondence table associates the identifiers specified in the search takeover data. When a user clicks a search system transfer instruction button in one search system, the search takeover data producing command is executed to produce search takeover data which is passed to the other search system. The latter search system regards the list of identifiers of articles which was passed by the search takeover data reading command as the search results, and thus operates continuously.

Abstract: Feature of a compound is predicted by using information on interactions between substances. A database of interactions between compounds and genes/proteins is constructed on the base of information collected from bibliographic databases, gene/protein databases, and disease databases, and an interaction network is prepared by mapping the collected information to thereby enable prediction of the features of a compound.

Abstract: The present invention visualizes the contents of a plurality of documents without a lack of the listing property. Two document units are extracted from a document database and relevance degrees between individual elements of a group of the document units are calculated. The results are displayed on a two-dimensional coordinate plane depending on the relevance degree.

Abstract: A system for processing information for providing semantic information and/or information associated with the semantic information useful for each individual organism through effective utilization of differences in nucleotide sequence-related information among individual organisms is constructed. This system comprises steps of (a) receiving nucleotide sequence-related information concerning a predetermined individual and (b) identifying, from a memory comprising a nucleotide sequence-related information group for each individual including a plurality of sets to which positional information representing a position in a nucleotide sequence and nucleotide sequence-related information corresponding to the positional information are mutually related, a nucleotide sequence-related information group including nucleotide sequence-related information that has consistency of the received nucleotide sequence-related information.

Abstract: Method and apparatus for mapping cDNA sequences to genome sequences at high speed are disclosed. A genome sequence is divided into K-base-length partial sequences that do not overlap and are continuous (K-mers). Then, they are stored in a table with coordinates on the genome sequence where each of them appears. Using this table, correspondences of K-mers are created from perfectly matching pairs of K-mers on the cDNA and the K-mers on the genome sequence. Of all the correspondences of K-mers, those sets that represent correct mapping rather than accidental coincidence are identified at high speed by a method based on a publicly known method that extracts a longest increasing partial sequence from a numerical sequence. The resultant correspondences of K-mers are extended to the association between bases by sequence alignment, and then correction at splice sites is performed. In order to allow for an optimum selection of parameters, an interactive interface capable of real-time response is provided.

Abstract: A known method for selecting words (or word sequences), which is an important aspect of information retrieval, involves the problems of inability to eliminate high-frequency common words and of often arbitrary setting of the threshold value for dividing important and unimportant words. These problems are solved by normalizing the difference between the word distribution in a subset of all documents containing a word to be extracted (or a subset of said document set) and the word distribution in the set of all documents with the number of words in the said subset of all documents containing the word as a parameter, and the accuracy of support information retrieval is thereby enhanced.

Abstract: New information is extracted efficiently and exhaustively to predict the function of genes or proteins. First, known-sequence data with high relevance to a search object sequence or structure information is obtained using a sequence database. Then, documents relevant to the resultant known-sequence data are retrieved, using a document database. Feature words common to a plurality of documents extracted are extracted and outputted.