A study of ontology-based knowledge management system in academic domain

Mokhammad Fathoni Rokhman, Dana Indra Sensuse, Shidiq Al Hakim, Deki Satria

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The purpose of this paper is to review the use of ontology in the field of knowledge management in the academic domain. To conducting this systematic review, we used the guidelines from Kitchenham and used collected data sources from IEEE Xplore, Scopus, Emerald Insight, and ACM Digital Library. We collect paper from data sources by using boolean search through available tools in each publisher. The papers collected were only limited to the last five years and those using ontology as taxonomies. Our data search results found 346 articles, and there were 26 suitable articles selected based on the selection criteria we defined. Our findings concluded six types of ontology models contained in ontology-based knowledge management and three areas that mostly used ontology-based knowledge management systems. Finally, we also found important classes that form the basis for making an ontology used in knowledge management.

Original languageEnglish
Title of host publication2019 7th International Conference on Information and Communication Technology, ICoICT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680520
DOIs
Publication statusPublished - 1 Jul 2019
Event7th International Conference on Information and Communication Technology, ICoICT 2019 - Kuala Lumpur, Malaysia
Duration: 24 Jul 201926 Jul 2019

Publication series

Name2019 7th International Conference on Information and Communication Technology, ICoICT 2019

Conference

Conference7th International Conference on Information and Communication Technology, ICoICT 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period24/07/1926/07/19

Keywords

  • Academic
  • Knowledge management
  • Ontology
  • Systematic review

Fingerprint

Dive into the research topics of 'A study of ontology-based knowledge management system in academic domain'. Together they form a unique fingerprint.

Cite this