Kabushiki Kaisha Toshiba

Kazuyuki Gotoh

Kouichi Sasaki

Yoichi Takebayashi

Mika Fukui

Yoshihisa Ohtake

Akira Morishita

Toru Imai

Toshinari Takahashi

Hideo Umeki

Toshihiko Manabe

Yasuko Nakayama

Hideo Numagami

Takehiko Yokota

Sougo Tsuboi

Yasuko Tsutsumitake

Yasuyo Shibazaki

A message exchange unit receives and distributes a message in a community in which a plurality of users participates. A message memory stores the message received by the message exchange unit. An extraction rule memory stores an extraction rule applicable for the message. The extraction rule includes an extraction pattern, an extraction target and a display format. An information extraction unit extracts information from the message stored in the message memory by referring to the extraction rule. An extraction result memory stores extraction result information by the information extraction unit. An extraction result editing unit edits the extraction result information stored in the extraction result memory. A message generation unit generates another message representing editing of the extraction result information.

Apparatus and method for extracting and sharing information

An information sharing system using a computer so as to allow a plurality of users to share disclosed information, the system comprising, input section for receiving responses to the disclosed information from references of the disclosed information, evaluation information generation section for totalizing and processing the responses to generate evaluation information and storing the evaluation information after correlating it with the disclosed information, and evaluation information notifying section for presenting the evaluation information generated by the evaluation information generation section.

Information sharing system and computer program product for causing computer to support the information sharing system

A computer-understandable knowledge base for accumulating computer-understandable task knowledge and a know-how knowledge base for accumulating know-how knowledge understandable for a human being are provided. In accordance with, for example, a result of the process for solving a problem which has been performed by the computer-understandable knowledge base 1, know-how knowledge relating to the problem solution is automatically retrieved and presented. Since know-how knowledge relating to the problem solution is automatically retrieved and presented in accordance with the state of the problem solving process which has been performed by the computer-understandable knowledge base, a user is able to efficiently make a reference to required know-how knowledge without a complicated process for conditions for retrieving the know-how knowledge. Even if a problem cannot be solved by the computer-understandable knowledge base, the know-how knowledge is used to guide the problem solution.

Computer system for interactive help using human-understandable

A data storage means stores data in a predetermined information form. An information retrieval means retrieves the data stored in the data storage means. A reception means receives an information disclosure demand from a demander, a response rule storage means for storing general knowledge for generating a response responding to the demander and a personal relationship information associated with a unique personal relationship between a user having the data on an information provider side and a user on an information demander side. A response plan formation means, responsive to the demand received by the reception means, plans a response for exhibiting, to the information demander, data obtained by causing the retrieval means to retrieve the data stored in the data storage means on the basis of the knowledge and the personal relationship information stored in the response rule storage means. A response generation means generates the response to the information demander in accordance with the plan formed by the response plan formation means.

Information disclosing apparatus and multi-modal information

A method-to-derive-attribute-value is set of a procedure inherent to an attribute for deriving an attribute value at each attribute defined in each class in knowledge base. A data-for-value-derivation referred by the set method-to-derive-attribute-value is set at each class defined or inherited by the attribute independently from the method-to-derive-attribute-value. The attribute value is derived by referring to the data-for-value-derivation to be input as the specification of the instance by executing the method-to-derive-attribute-value when the instance is prepared as novel or altered, to thereby set the attribute value of each attribute of the instance.

Knowledge base system for setting attribute value derivation data

Growing community of inventors

Kawasaki, Japan

Kazuyuki Gotoh