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8 July 2022 Systematic review on ontology applications in virtual reality training domain: design components, roles, and research directions
Youcef Benferdia, Mohd Amran Md Ali, Liew Kok Leong, Mohd Hisham Isa, Zaleha Abdullah Mahdy, Mohammad Nazir Ahmad, Azrulhizam Shapii
Author Affiliations +
Abstract

Even though ontology and virtual reality training (VRT) are subjects that have been explored in various areas over the years, there is an absence of a systematic approach that gives an overview on how both have been utilized together. We aim to explore how ontologies have been applied in VRT technology in recent times. Therefore, the systematic literature review methodology was carried out to collect studies between 2014 and 2021 from various databases. To summarize, the main findings of this research are as follows: (1) the majority of the studies concerns two roles, i.e., either capturing and structuring knowledge or separating domain knowledge and operational knowledge; (2) all ontologies apply deficient foundational ontologies, languages, and methodologies when developing ontologies for VRT; (3) there is a general lack of capturing perdurant knowledge in ontology design; and (4) there are key design elements that are considered crucial for designing an ontology for VRT. Further directions have been provided to contribute to the body of knowledge by recommending the right design elements that could produce idealistic and ubiquitous ontologies to facilitate VRT development throughout its life cycle.

© 2022 SPIE and IS&T 1017-9909/2022/$28.00 © 2022 SPIE and IS&T
Youcef Benferdia, Mohd Amran Md Ali, Liew Kok Leong, Mohd Hisham Isa, Zaleha Abdullah Mahdy, Mohammad Nazir Ahmad, and Azrulhizam Shapii "Systematic review on ontology applications in virtual reality training domain: design components, roles, and research directions," Journal of Electronic Imaging 32(2), 021403 (8 July 2022). https://doi.org/10.1117/1.JEI.32.2.021403
Received: 5 February 2022; Accepted: 12 May 2022; Published: 8 July 2022
JOURNAL ARTICLE
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KEYWORDS
Virtual reality

Medicine

Data modeling

Fiber reinforced polymers

Real-time computing

Surgery

3D modeling

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