TY - GEN
T1 - A knowledge-transfer system integrating workflow, A rule base, Domain ontologies and a goal tree
AU - Marumo, Nobuhito
AU - Beppu, Takashi
AU - Yamaguchi, Takahira
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This paper discusses how to develop a knowledge-transfer system (KTS) by integrating four knowledge sources: workflow, a rule base, domain ontologies, and a goal tree with domain ontology centered structure. When novice workers acquire knowledge from experienced workers, they should not only learn a single form of knowledge, but also understand the interrelationships among these four knowledge sources. In this study, we look at a case study involving a snow control plan for highways. This study present a case in which KTS is being implemented well.
AB - This paper discusses how to develop a knowledge-transfer system (KTS) by integrating four knowledge sources: workflow, a rule base, domain ontologies, and a goal tree with domain ontology centered structure. When novice workers acquire knowledge from experienced workers, they should not only learn a single form of knowledge, but also understand the interrelationships among these four knowledge sources. In this study, we look at a case study involving a snow control plan for highways. This study present a case in which KTS is being implemented well.
KW - Knowledge management
KW - Knowledge transfer
KW - Ontologies
UR - http://www.scopus.com/inward/record.url?scp=84909619595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84909619595&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12096-6_32
DO - 10.1007/978-3-319-12096-6_32
M3 - Conference contribution
AN - SCOPUS:84909619595
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 357
EP - 367
BT - Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Proceedings
A2 - Buchmann, Robert
A2 - Kifor, Claudiu Vasile
A2 - Yu, Jian
PB - Springer Verlag
T2 - 7th International Conference on Knowledge Science, Engineering and Management, KSEM 2014
Y2 - 16 October 2014 through 18 October 2014
ER -