Science Links Japan | Groupware for a Knowledge Creative Process of a Research Group and Its Application to Externalization and Combination Steps

Groupware for a Knowledge Creative Process of a Research Group and Its Application to Externalization and Combination Steps

Accession number;07A0065909

Title;Groupware for a Knowledge Creative Process of a Research Group and Its Application to Externalization and Combination Steps

Author; YUIZONO TAKAYA (Japan Advanced Inst. Sci. and Technol., Hokuriku) MUNEMORI JUN (Wakayama Univ.)

Journal Title;IPSJ Transactions on Database

Journal Code:Z0778A

ISSN:0387-5806

VOL.48;NO.1;PAGE.30-42(2007)

Figure&Table&Reference;FIG.8, TBL.7, REF.19

Pub. Country;Japan

Language;Japanese

Abstract;Organizations recognize an importance of knowledge for their activity and tackle the knowledge management. GUNGEN-SECI has been studied for supporting the knowledge creative process called SECI model, which consists of four steps (socialization, externalization, combination and internalization), in order to support a knowledge creative work such as a research education in a university. The model was proposed by Nonaka for the explaining dynamism of interaction between explicit knowledge and tacit knowledge within an organization. GUNGEN-SECI has a semantic chat function to collect the chat data within an electronic seminar as a group work. In this paper, XML data converted from the collected chat data are applied to the support of externalization step and the combination step. In the externalization step, a concept formation is carried out by the distributed and cooperative KJ method using the chat data. In the combination step, a knowledge acquisition is supported by combining the semantic tag from the group work with the concept map obtained from the externalization step. The application results showed the possibility as follows: (1) The chat data selected with the semantic information increased the number of islands and the number of characters of a conclusion sentence obtained through the distributed and cooperative KJ method significantly. (2) Combining between the tag information collected from a group work and the result of the KJ method leads to a new knowledge acquisition beyond the previous externalization step. (author abst.)

Related Articles;