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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.
Abstract: Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate between institutions (or players), to solve problems of common interest in a given domain. Managing knowledge in the IWs domain is complex, but promoting knowledge sharing based on standards and common terms agreeable to all players is essential and is something that must be established. In this sense, ontologies, as a conceptual tool and a key component of knowledge-based systems, have been used by organizations for effective knowledge management of the domain of discourse. There are many methodologies that have been proposed by several researchers during the last decade. However, designing a domain ontology for IWs needs a well-defined ontology development methodology. Therefore, in this article, a survey has been conducted to compare ontology development methodologies between 2015 and 2020. The purpose of this survey is to identify limitations and benefits of previously developed ontology development methodologies. The criteria for the comparison of methodologies has been derived from evolving trends in literature. Our findings give some guidelines that help to define a suitable methodology for designing any domain ontology under the domain of interlocking institutional worlds.
Abdul Sattar, Ely Salwana Mat Surin, Mohammad Nazir Ahmad, Mazida Ahmad and Ahmad Kamil Mahmood, “Comparative Analysis of Methodologies for Domain Ontology Development: A Systematic Review” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110515
@article{Sattar2020,
title = {Comparative Analysis of Methodologies for Domain Ontology Development: A Systematic Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110515},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110515},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Abdul Sattar and Ely Salwana Mat Surin and Mohammad Nazir Ahmad and Mazida Ahmad and Ahmad Kamil Mahmood}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.