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Knowledge-Based Management of Virtual Training Scenarios

机译:基于知识的虚拟培训场景管理

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摘要

Virtual reality (VR) gains increasing attention as a method of implementing training systems in different domains, in particular, when real training is potentially dangerous for the trainees or the environment, or requires expensive equipment. The essential element of professional training is domain-specific knowledge, which can be represented using the semantic web approach. It enables reasoning as well as complex queries against the representation of training scenarios, which can be valuable for teaching purposes. However, the available methods and tools for creating VR training systems do not use semantic knowledge representation. Currently, the creation, modification, and management of training scenarios require skills in programming and computer graphics. Hence, they are unavailable to domain experts without expertise in IT. In this paper, we propose an ontology-based representation and a method of modeling VR training scenarios. In our approach, trainees’ activities, potential mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We illustrate the approach by modeling VR training scenarios for electrical operators of high-voltage installations.
机译:虚拟现实(VR)在不同领域实施培训系统的方法,特别是当真正的培训对学员或环境潜在危害时,或需要昂贵的设备。专业培训的基本要素是特定于域的知识,可以使用语义网络方法来表示。它使得能够对培训方案的表示来说能够以及复杂的查询,这对于教学目的来说可能是有价值的。但是,用于创建VR培训系统的可用方法和工具不使用语义知识表示。目前,培训方案的创建,修改和管理需要编程和计算机图形的技能。因此,他们无法在没有专业知识的情况下到达域专家。在本文中,我们提出了一种基于本体的代表和建模VR培训方案的方法。在我们的方法中,使用域名专家可以理解的域知识来表示,学员的活动,潜在的错误以及设备以及可能的错误。我们通过为高压安装的电气运营商建模VR培训方案来说明方法。

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