TY - GEN
T1 - How much well does organizational knowledge transfer work with domain and rule ontologies?
AU - Kobayashi, Keido
AU - Yoshioka, Akiko
AU - Okabe, Masao
AU - Yanagisawa, Masahiko
AU - Yamazaki, Hiroshi
AU - Yamaguchi, Takahira
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
KW - Domain ontology
KW - Rule ontology
KW - Rule-based system
UR - http://www.scopus.com/inward/record.url?scp=77249153193&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77249153193&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10488-6_37
DO - 10.1007/978-3-642-10488-6_37
M3 - Conference contribution
AN - SCOPUS:77249153193
SN - 3642104878
SN - 9783642104879
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 382
EP - 393
BT - Knowledge Science, Engineering and Management - Third International Conference, KSEM 2009, Proceedings
T2 - 3rd International Conference on Knowledge Science, Engineering and Management, KSEM 2009
Y2 - 25 November 2009 through 27 November 2009
ER -