How Much Well Does Organizational Knowledge Transfer Work with Domain and Rule Ontologies?

Authors:
Keido Kobayashi;Akiko Yoshioka;Masao Okabe;Masahiko Yanagisawa;Hiroshi Yamazaki;Takahira Yamaguchi
Affiliations:
Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi, Japan 223-8522;Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi, Japan 223-8522;Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi, Japan 223-8522 and Tokyo Electric Power Co., Inc., Tokyo, Japan 100-8560;Tokyo Electric Power Co., Inc., Tokyo, Japan 100-8560;Tokyo Electric Power Co., Inc., Tokyo, Japan 100-8560;Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi, Japan 223-8522
Venue:
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Year:
2009

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Abstract

Knowledge transfer to next-generation engineers is an urgent issue in Japan. In this paper, we propose a new approach without costly OJT (on-the-job training), that is, combinational usage of domain and rule ontologies and a rule-based system. A domain ontology helps novices understand the exact meaning of the engineering rules and a rule ontology helps them get the total picture of the knowledge. A rule-based system helps domain experts externalize their tacit knowledge to ontologies and also helps novices internalize them. As a case study, we applied our proposal to some actual job. We also did an evaluation experiment for this case study and have confirmed that our proposal is effective.