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A System for Distributed Context Reasoning

机译:分布式上下文推理系统

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Context aware systems use context information to adapt their behaviour accordingly. In order to derive high level context information from low level context, such as sensor values, context reasoning methods that correlate observable context information, are necessary. Several context reasoning mechanisms have been proposed in the literature. Usually these mechanisms are centralized, leading to suboptimal utilization of network resources and poor system performance in case of largescale scenarios. Therefore to increase the scalability of context reasoning systems the development of methods that distribute the reasoning process is necessary. Existing distributed approaches are method specific and do not provide a generic formalization for distributed reasoning. In this paper we introduce a novel system which enables distributed context reasoning in a generic way that is independent of the reasoning algorithm.
机译:情境感知系统使用情境信息来相应地调整其行为。为了从低级上下文中获取高级上下文信息(例如传感器值),需要将可观察到的上下文信息相关联的上下文推理方法。文献中已经提出了几种情境推理机制。通常,这些机制是集中式的,在大规模情况下会导致网络资源利用率欠佳,并且系统性能不佳。因此,为了增加上下文推理系统的可伸缩性,需要开发分布推理过程的方法。现有的分布式方法是特定于方法的,并且不提供用于分布式推理的通用形式化。在本文中,我们介绍了一种新颖的系统,该系统能够以独立于推理算法的通用方式实现分布式上下文推理。

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