How much well does organizational knowledge transfer work with domain and rule ontologies?

Keido Kobayashi, Akiko Yoshioka, Masao Okabe, Masahiko Yanagisawa, Hiroshi Yamazaki, Takahira Yamaguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings
Pages382-393
Number of pages12
DOIs
Publication statusPublished - 2009 Dec 1
Event3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009 - Vienna, Austria
Duration: 2009 Nov 25 → 2009 Nov 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5914 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009
CountryAustria
CityVienna
Period09/11/25 → 09/11/27

Keywords

  • Domain ontology
  • Rule ontology
  • Rule-based system

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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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 Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings (pp. 382-393). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5914 LNAI). https://doi.org/10.1007/978-3-642-10488-6_37