Organizational knowledge transfer of intelligence skill using ontologies and a rule-based system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPractical Aspects of Knowledge Management - 7th International Conference, PAKM 2008, Proceedings
Pages207-218
Number of pages12
DOIs
Publication statusPublished - 2008 Dec 31
Event7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008 - Yokohama, Japan
Duration: 2008 Nov 222008 Nov 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5345 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008
CountryJapan
CityYokohama
Period08/11/2208/11/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Okabe, M., Yanagisawa, M., Yamazaki, H., Kobayashi, K., Yoshioka, A., & Yamaguchi, T. (2008). Organizational knowledge transfer of intelligence skill using ontologies and a rule-based system. In Practical Aspects of Knowledge Management - 7th International Conference, PAKM 2008, Proceedings (pp. 207-218). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5345 LNAI). https://doi.org/10.1007/978-3-540-89447-6_20