Abstract
Domain-specific knowledge representation is an essential element of efficient management of professional training. Formal and powerful knowledge representation for training systems can be built upon the semantic web standards, which enable reasoning and complex queries against the content. Virtual reality training is currently used in multiple domains, in particular, if the activities are potentially dangerous for the trainees or require advanced skills or expensive equipment. However, the available methods and tools for creating VR training systems do not use knowledge representation. Therefore, creation, modification and management of training scenarios is problematic for domain experts without expertise in programming and computer graphics. In this paper, we propose an approach to creating semantic virtual training scenarios, in which users’ activities, mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We have verified the approach by developing a user-friendly editor of VR training scenarios for electrical operators of high-voltage installations.
Highlights
Progress in the quality and performance of graphics hardware and software observed in recent years makes realistic interactive presentation of complex virtual spaces and objects possible even on commodity hardware
We propose a new method of building and managing VR training scenarios based on semantic modeling techniques with a user-friendly editor
The presented review indicates that there is a lack of a generic method that could be used for creating interactive VR training scenarios in different application domains
Summary
Progress in the quality and performance of graphics hardware and software observed in recent years makes realistic interactive presentation of complex virtual spaces and objects possible even on commodity hardware. Building useful VR training environments requires competencies in both programming and 3D modeling, as well as domain knowledge, which is necessary to prepare practical applications in a given domain. Such representations can be subject to reasoning, which leads to the inference of implicit knowledge based on explicit knowledge, as well as queries including arbitrarily complex conditions These are significant advantages for the creation and management of content by users in different domains. We propose a new method of building and managing VR training scenarios based on semantic modeling techniques with a user-friendly editor.
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