We aim toward the development of the intelligent support system fot the activities in the community. With integrate the existing seed and applications, We will develop the advanced research activity support system. In addition, we research also the theoretical research in order to discover the incentive which becomes promotion of community activity.

【Incentive】

It is actively study that information sharing in order to raise value of the information(knowledge) which is not structured with actualizing the information which is shared implicitly in the community . There is a knowledge management as the mechanism making which raises the intellectual creativity of organization by utilizing the intellectual property in organizing. The knowledge management support system which uses AI technology is mainly researched, but, interest is not directed in feelings and motive of the user which use the system. As a result, it becomes a system which is not used in the community. Generally cost the side which provides information at the time of information sharing, quite is large by comparison with the cost the side which uses information. Because of this, a some incentive becomes necessary for the user which proveides information.
In regard to incentive, there is a system which collects fee in order to browse information even on traditional WWW. Information sharing is implemented by giving the incentive that the user can obtain the money on the side which provides information. On the one hand, in the bulletin board system, electronic news, despite of user cannot obtain the money, there is the human who offers a number of informations whose quality is high. Namely, incentive in order to provide information, it does not limit to just "obtain the money".
It can see as the resource allocation in auction and market mechanism, if Individual user provides information in order to raise profit by obtaining "somethig"(key-?) in collateral. With this project, on the basis of the research of the incentive which is based on market mechanism, we aim toward the design of the mechanism which promotes information sharing and the development of the information sharing system. In addition, we design mechanism of incentive discovery on the basis of the technical element of knowledge discovery, information sharing, information gathering.

【Knowledge Discovery】

DM・NLP
The Information Retrieval as technology for extracting information required the huge and computerized information(key-word, key-phrase). The Information Retrieval is used as a background of researches, such as a knowledge management in an organization . For example , we consider reusing effectively intellectual property, such as know-how and technology in a company (or a laboratory). Inoramation Rerieval is applied to the system using the Q&A example in the call center of a company.
The Q &A example is a demand of the customer and its response in call center. Information retrieval is allow that quick support dealing with a customer is attained in a call center, and expect being able to find a customer's needs and the problem of goods by analyzing the problem which occurs frequently. So it expect discovering information(key) more useful to a company. However, users' question and operators answering, and documents in WWW are not processed formally. So we use computers to convert (key-)patterns for computers easy to process. Processing text data formally and semantically, we use ``morphological analysis'' and ``modification analysis'' statistically.

【Information Gatering】

We do research on information retrieval and information recommendation as a technique for collecting information It present Information Retrieval as technology for taking out information required for us(key-topic) out of the huge information processed electronically . In our project, we use Information Retrieval a means to search information with specific conditions as Know-Who search(key-person) that search who know what, and sharing information acquired by knowledge discovery.
The Information recommendation the technique which presumes the demand of user(key-concept) automatically and recommends the information which fill the demand. To reallize a recommendation system, we need express user's likings on computer. We call this expression user's model(or user's preference), and the process of expressing user modelings. In our project, we aim to information recommendation to acquire knowledge, representing both user's preference and knowledge in the user modeling.

【Information Sharing】

Now, on the knowledge manegement, what the people dialogue with people and have a relationship with people physically and hypothetically is very important for the process of the knowledge creation and the knowledge asset utilization. For starting communication by dialoguing and having a relationship, it is necessary for the awareness with the appearance information about members having communication and the document owned by members . Here, the document is what resolved expression the knowledge which members have. In this research, we aim giving an impulse to share the information by awareness support about the person and the document.
First, we carry the awareness support about the document. This system runs the awareness support by notifying a uer of the message. But, because the superfluous awareness repulse users and users have possibilities not to be able to discover the notice which the users should discover at its heart, we consider that it defeat its own end on giving an impulse to share the information . And, content analysis can't contend with the movement of user's interest and respect as opposed to what user's interest and respect come and go day by day. And, in this research, we attend to context (context is background and appearance when we use the documents), approach the awareness support about the documents considering context. By considering context, we think that the system can consider the movement of user's interest and respect without the content of the document.
Also, we produce the awareness support about person. On the awareness about person, It is important who is around me , how community has occurred ,and who and who talk . At the same time, because what achieve the knowledge sharing is not IT in itself but the knowledge communities which treat it , COP is paid attention on knowledge management at the moment. we approach to support the creation of COP by achieving the awareness about person. we aim to promotive the knowledge sharing in the community by the creation support of COP.