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首页> 外文会议>International and interdisciplinary conference on modeling and using context >Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components
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Enriching a Situation Awareness Framework for IoT with Knowledge Base and Reasoning Components

机译：通过知识库和推理组件丰富物联网的情境意识框架

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The importance of system-level context- and situation awareness increases with the growth of the Internet of Things (IoT). This paper proposes an integrated approach to situation awareness by providing a semantically rich situation model together with reliable situation inference based on Context Spaces Theory (CST) and Situation Theory (ST). The paper discusses benefits of integrating the proposed situation awareness framework with knowledge base and efficient reasoning techniques taking into account uncertainty and incomplete knowledge about situations. The paper discusses advantages and impact of proposed context adaptation in dynamic IoT environments. Practical issues of two-way mapping between IoT messaging standards and CST are also discussed.
机译：随着物联网（IoT）的增长，系统级上下文和态势感知的重要性日益提高。本文通过基于上下文空间理论（CST）和情境理论（ST）提供语义丰富的情境模型以及可靠的情境推断，提出了一种综合的情境感知方法。本文讨论了将提议的态势感知框架与知识库和有效的推理技术相集成的好处，其中要考虑不确定性和对态势的不完全了解。本文讨论了在动态物联网环境中拟议上下文适应的优势和影响。还讨论了物联网消息传递标准和CST之间双向映射的实际问题。

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