A knowledge-transfer system integrating workflow, A rule base, Domain ontologies and a goal tree

Nobuhito Marumo, Takashi Beppu, Takahira Yamaguchi

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Proceedings
EditorsRobert Buchmann, Claudiu Vasile Kifor, Jian Yu
PublisherSpringer Verlag
Pages357-367
Number of pages11
ISBN (Electronic)9783319120959
DOIs
Publication statusPublished - 2014 Jan 1
Event7th International Conference on Knowledge Science, Engineering and Management, KSEM 2014 - Sibiu, Romania
Duration: 2014 Oct 162014 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8793
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Knowledge Science, Engineering and Management, KSEM 2014
CountryRomania
CitySibiu
Period14/10/1614/10/18

Keywords

  • Knowledge management
  • Knowledge transfer
  • Ontologies

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Marumo, N., Beppu, T., & Yamaguchi, T. (2014). A knowledge-transfer system integrating workflow, A rule base, Domain ontologies and a goal tree. In R. Buchmann, C. V. Kifor, & J. Yu (Eds.), Knowledge Science, Engineering and Management - 7th International Conference, KSEM 2014, Proceedings (pp. 357-367). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8793). Springer Verlag. https://doi.org/10.1007/978-3-319-12096-6_32