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

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Knowledge Science, Engineering and Management (KSEM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5914))

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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.

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© 2009 Springer-Verlag Berlin Heidelberg

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Kobayashi, K., Yoshioka, A., Okabe, M., Yanagisawa, M., Yamazaki, H., Yamaguchi, T. (2009). How Much Well Does Organizational Knowledge Transfer Work with Domain and Rule Ontologies?. In: Karagiannis, D., Jin, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2009. Lecture Notes in Computer Science(), vol 5914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10488-6_37

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  • DOI: https://doi.org/10.1007/978-3-642-10488-6_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10487-9

  • Online ISBN: 978-3-642-10488-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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