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Reflected Reality: A Mixed Reality Knowledge Representation for Context-aware Systems

机译:反映的现实:上下文感知系统的混合现实知识表示

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Ambient systems and agents in human-agent shared environments require a great amount of contextual knowledge to successfully handle dynamic situations. The generation, integration, and processing of various forms of knowledge, such as semantic and spatial representations, pose a challenge in intelligent systems. To address this, we integrate real world information into a virtual world using a Reflected Reality metaphor, a combination of smart spaces and intelligent virtual environments. Our system serves as a mixed reality knowledge representation and visualization for context-aware systems. It provides tools to infer knowledge at runtime, including a continuous abstraction process, as well as a semantics-based rule system. This provides a continuum of knowledge, ranging from low-level sensory data to high-level semantic facts. In this paper, we present the concept and data model behind our system and describe its implementation. This can serve as a basis for a variety of applications including serious games.
机译:人与人共享环境中的环境系统和人需要大量上下文知识才能成功处理动态情况。诸如语义和空间表示之类的各种形式的知识的生成,集成和处理,对智能系统提出了挑战。为了解决这个问题,我们使用Reflected Reality隐喻(将智能空间和智能虚拟环境相结合)将现实世界的信息集成到虚拟世界中。我们的系统用作上下文感知系统的混合现实知识表示和可视化。它提供了在运行时推断知识的工具,包括连续的抽象过程以及基于语义的规则系统。这提供了知识的连续性,范围从低层的感官数据到高层的语义事实。在本文中,我们介绍了系统背后的概念和数据模型,并描述了其实现。这可以作为包括严肃游戏在内的各种应用程序的基础。

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