Organizational Knowledge Transfer of Intelligence Skill Using Ontologies and a Rule-Based System

Authors:
Masao Okabe;Masahiko Yanagisawa;Hiroshi Yamazaki;Keido Kobayashi;Akiko Yoshioka;Takahira Yamaguchi
Affiliations:
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 Kanagawa-ken, Japan 223-8522;Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi Kanagawa-ken, Japan 223-8522;Department of Administration Engineering, Faculty of Science and Technology, Keio University, Yokohama-shi Kanagawa-ken, Japan 223-8522
Venue:
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Year:
2008

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Abstract

In recent automated and integrated manufacturing, so-called intelligence skill is becoming more and more important and its efficient transfer to the next generation is a key to keeping a factory productive and competitive. But, currently, it needs costly on-the-job training (OJT) and it is crucial to reduce its cost. In this paper, we propose a new approach without OJT, that is, combinational usage of ontologies and a rule-based system. It helps domain experts externalize their tacit intelligence skill and helps novices internalize it.