Semantically Enhanced Virtual Learning Environments Using Sunflower

Elenius, Daniel; Denker, Grit; Kim, Minyoung

doi:10.1007/978-3-319-49157-8_7

Cited by 4 publications

(2 citation statements)

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“…Thus, the majority of works attempt to create fitted learning scenarios that fill the needs of the trainees. Providing guidance on disassembling and assembling a rifle 47 and describing and designing a guiding procedure in a way to be used in VR 40 are some examples of how ontology plays a guiding role in facilitating the VR environment. Although only two reviewed studies claim the previous points, they still have a lack of evidence for many reasons.…”

Section: Discussionmentioning

confidence: 99%

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(Retracted) Systematic review on ontology applications in virtual reality training domain: design components, roles, and research directions

et al. 2022

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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.

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Section: Discussionmentioning

confidence: 99%

“…Elenius et al 47 designed a framework called semantically enabled automated assessment in virtual environments (SAVE). This ontology provides many benefits.…”

Section: Save Ontologymentioning

confidence: 99%