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 proceedingConference 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages382-393
Number of pages12
Volume5914 LNAI
DOIs
Publication statusPublished - 2009
Event3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009 - Vienna, Austria
Duration: 2009 Nov 252009 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)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009
CountryAustria
CityVienna
Period09/11/2509/11/27

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Keywords

  • Domain ontology
  • Rule ontology
  • Rule-based system

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5914 LNAI, 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