Abstract: A server 4 executes a set extracting step (S1) of extracting a set from a plurality of documents according to a condition using time information, an inter-document similarity calculation step (S2) of calculating inter-document similarity between content of one document and content of another document included in the set, a cluster classifying step (S3) of classifying documents that are similar based on the inter-document similarity in the set into a plurality of clusters, an inter-cluster similarity calculation step (S6) of calculating inter-cluster similarity between clusters of a plurality of sets, and a cluster associating step (S7) of generating association information in which clusters that are relevant are linked to each other over sets based on the inter-cluster similarity.

Abstract: A server 4 executes a sentences decomposition step (S6) of decomposing one sentences into a sentence, a label assigning step (S7) of assigning a label according to content of the decomposed sentence, a summary element extracting step (S8) of extracting a sentence to which a predetermined label is assigned as a summary element, and a summary creation step (S9) of creating a summary based on the summary element.

Abstract: A server 4 executes a sentences decomposition step (S6) of decomposing one sentences into a sentence, a label assigning step (S7) of assigning a label according to content of the decomposed sentence, a summary element extracting step (S8) of extracting a sentence to which a predetermined label is assigned as a summary element, and a summary creation step (S9) of creating a summary based on the summary element.

Abstract: A server 4 executes a similarity calculation step (S2) of calculating similarity between content of one document and content of another document, a cluster classification step (S3) of generating a network in which a document is set as a node based on calculated similarity and similar nodes are connected by an edge, and performing classification based on similar documents, a first index calculation step (S4) of calculating a first index indicating centrality of a document in the network, a second index calculation step (S5) of calculating a second index that is different from the first index in the network and indicates importance of a document, and a display data generation step (S6) of generating, regarding a document, first display data indicating the network by an expression of a size of an object of a node according to the first index, an expression of a gauge having a shape corresponding to a shape of the object according to the second index and a length of the gauge, an expression according to a type of

Abstract: A server 4 executes a similarity calculation step (S2) of calculating similarity between content of one document and content of another document, a cluster classification step (S3) of generating a network in which a document is set as a node based on calculated similarity and similar nodes are connected by an edge, and performing classification based on similar documents, a first index calculation step (S4) of calculating a first index indicating centrality of a document in the network, a second index calculation step (S5) of calculating a second index that is different from the first index in the network and indicates importance of a document, and a display data generation step (S6) of generating, regarding a document, first display data indicating the network by an expression of a size of an object of a node according to the first index, an expression of a gauge having a shape corresponding to a shape of the object according to the second index and a length of the gauge, an expression according to a type of

Abstract: A server 4 executes a sentences decomposition step (S6) of decomposing one sentences into a sentence, a label assigning step (S7) of assigning a label according to content of the decomposed sentence, a summary element extracting step (S8) of extracting a sentence to which a predetermined label is assigned as a summary element, and a summary creation step (S9) of creating a summary based on the summary element.

Abstract: A server 4 executes a set extracting step (S1) of extracting a set from a plurality of documents according to a condition using time information, an inter-document similarity calculation step (S2) of calculating inter-document similarity between content of one document and content of another document included in the set, a cluster classifying step (S3) of classifying documents that are similar based on the inter-document similarity in the set into a plurality of clusters, an inter-cluster similarity calculation step (S6) of calculating inter-cluster similarity between clusters of a plurality of sets, and a cluster associating step (S7) of generating association information in which clusters that are relevant are linked to each other over sets based on the inter-cluster similarity.

Abstract: A server 4 executes a similarity calculation step (S2) of calculating similarity between content of one document and content of another document, a cluster classification step (S3) of generating a network in which a document is set as a node based on calculated similarity and similar nodes are connected by an edge, and performing classification based on similar documents, a first index calculation step (S4) of calculating a first index indicating centrality of a document in the network, a second index calculation step (S5) of calculating a second index that is different from the first index in the network and indicates importance of a document, and a display data generation step (S6) of generating, regarding a document, first display data indicating the network by an expression of a size of an object of a node according to the first index, an expression of a gauge having a shape corresponding to a shape of the object according to the second index and a length of the gauge, an expression according to a type of

Abstract: There is provided a system of supporting a development of a business process, adapted to easily carry out the development and maintenance of a business process. In a canvas region 32 on a tool display 30, icons 34a and 35a, structure lines 36 and control lines 37 are linked to connect a plurality of processing elements (basic control elements, custom processing elements, normal execution sequence elements and special execution sequence elements) to model a process flow in the business process as a tree structure. In the basic control elements, basic control flows of a series of business processing executed in the business process are implemented. In the custom processing elements, the separate functions of the series of business processing executed in the business process are implemented independent of the basic control elements.