@inproceedings{0fbc9754eb274927845130de0990c6fa,
title = "A study of ontology-based knowledge management system in academic domain",
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.",
keywords = "Academic, Knowledge management, Ontology, Systematic review",
author = "Rokhman, {Mokhammad Fathoni} and Sensuse, {Dana Indra} and Hakim, {Shidiq Al} and Deki Satria",
year = "2019",
month = jul,
day = "1",
doi = "10.1109/ICoICT.2019.8835259",
language = "English",
series = "2019 7th International Conference on Information and Communication Technology, ICoICT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 7th International Conference on Information and Communication Technology, ICoICT 2019",
address = "United States",
note = "7th International Conference on Information and Communication Technology, ICoICT 2019 ; Conference date: 24-07-2019 Through 26-07-2019",
}