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An Overview of Ontologies in Virtual Reality-Based Training for Healthcare Domain.
Ummul Hanan Mohamad1, Mohammad Nazir Ahmad1, Youcef Benferdia1
1Institute of IR4.0, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Virtual reality-based training (VRT) in healthcare needs better domain knowledge integration. This study explores using ontologies to enhance VRT development for medical education and proposes a knowledge base strategy.
Area of Science:
- Healthcare Technology
- Medical Education
- Knowledge Representation
Background:
- Virtual Reality (VR) is a key technology in healthcare, with Virtual Reality-based Training (VRT) simplifying complex medical processes.
- Effective VRT development requires robust integration of domain knowledge, which is currently not well understood.
- Ontologies offer a mechanism for explicit domain knowledge representation, crucial for VRT.
Purpose of the Study:
- To provide an overview of basic ontology concepts.
- To explore the utilization of ontologies in the development of VRT for healthcare education and training.
- To propose a foundational knowledge base for VRT development.
Main Methods:
- Literature review and conceptual analysis of ontologies in VRT.
- Exploration of existing VRT applications in medical education.
- Synthesis of findings to propose a knowledge base strategy.
Main Results:
- Ontologies can significantly enhance the explicitness and sharing of domain knowledge in VRT.
- Current applications show a nascent but growing use of ontologies in VRT development.
- A need exists for a structured approach to ontology design for VRT.
Conclusions:
- Ontologies are vital for effective knowledge integration in VRT for healthcare.
- A comprehensive strategy for ontology design is proposed to improve VRT effectiveness.
- Further research into ontology application in VRT is recommended for medical training.
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