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

doi:10.1007/978-3-642-10488-6_37

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

Department of Administration Engineering

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 language	English
Title of host publication	Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings
Pages	382-393
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-10488-6_37
Publication status	Published - 2009 Dec 1
Event	3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009 - Vienna, Austria Duration: 2009 Nov 25 → 2009 Nov 27

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5914 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009
Country	Austria
City	Vienna
Period	09/11/25 → 09/11/27

Keywords

Domain ontology
Rule ontology
Rule-based system

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-10488-6_37

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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 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

How much well does organizational knowledge transfer work with domain and rule ontologies? / Kobayashi, Keido; Yoshioka, Akiko; Okabe, Masao; Yanagisawa, Masahiko; Yamazaki, Hiroshi; Yamaguchi, Takahira.

Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings. 2009. p. 382-393 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5914 LNAI).

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

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5914 LNAI, pp. 382-393, 3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009, Vienna, Austria, 09/11/25. https://doi.org/10.1007/978-3-642-10488-6_37

Kobayashi K, Yoshioka A, Okabe M, Yanagisawa M, Yamazaki H, Yamaguchi T. 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. 2009. p. 382-393. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-10488-6_37

Kobayashi, Keido ; Yoshioka, Akiko ; Okabe, Masao ; Yanagisawa, Masahiko ; Yamazaki, Hiroshi ; Yamaguchi, Takahira. / How much well does organizational knowledge transfer work with domain and rule ontologies?. Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings. 2009. pp. 382-393 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "How much well does organizational knowledge transfer work with domain and rule ontologies?",

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.",

keywords = "Domain ontology, Rule ontology, Rule-based system",

author = "Keido Kobayashi and Akiko Yoshioka and Masao Okabe and Masahiko Yanagisawa and Hiroshi Yamazaki and Takahira Yamaguchi",

year = "2009",

month = dec,

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doi = "10.1007/978-3-642-10488-6_37",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "382--393",

booktitle = "Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings",

note = "3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009 ; Conference date: 25-11-2009 Through 27-11-2009",