A knowledge transfer support system from text-based work reports with domain ontologies

Ryutaro Nambu, Kohei Suehiro, Takahira Yamaguchi

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

1 Citation (Scopus)

Abstract

Recently, there is growing interest in knowledge transfer from human experts to novices in order to keep organizational competence. The workers of organizations usually make work reports but they are text-based and not structured. Therefore, they are hard to be reused by other workers. In this paper, we present how to make domain ontologies to generate structured data form work reports and develop a knowledge transfer support system, combining structured data with domain ontologies. In order to evaluate the system, as real case studies, we take troubleshooting work in an expressway maintenance management company. The evaluation shows us the systems works well with questionnaires to the workers who attend the case studies.

Original languageEnglish
Title of host publicationKnowledge-Based Software Engineering
Subtitle of host publication2018 - Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018
EditorsFumihiro Kumeno, Konstantinos Oikonomou, Maria Virvou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages137-146
Number of pages10
ISBN (Print)9783319976785
DOIs
Publication statusPublished - 2019 Jan 1
Event12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018 - Corfu, Greece
Duration: 2018 Aug 272018 Aug 30

Publication series

NameSmart Innovation, Systems and Technologies
Volume108
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018
Country/TerritoryGreece
CityCorfu
Period18/8/2718/8/30

Keywords

  • Domain ontology
  • Knowledge management
  • Knowledge transfer

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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