FuzWare: A fuzzy-based middleware for context-aware service

Chuan Zhang
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引用次数: 5

Abstract

With the rapid expanding of Internet of Things, context-aware technology has become a research hotspot. At present, most of the context modeling technologies are based on ontology, however, due to the limitations of ontology, the ontology framework is very poor for the uncertainty reasoning. A few experiments have been introduced fuzzy theory into the context-aware, but the results are not satisfying and many problems are unsolved. In addition, previous studies process the context information uniformly without considering the specific characteristics of different types of context information. In this paper, we have designed FuzWare context-aware middleware, which offers a context-aware service based on fuzzy theory. In the middleware, the context information is divided into two parts according to the information sources. The result shows that FuzWare achieves good function expansion and attains accurate reasoning.
一种基于模糊的中间件,用于上下文感知服务
随着物联网的快速发展,情境感知技术已成为一个研究热点。目前,大多数上下文建模技术都是基于本体的,但由于本体的局限性,本体框架对于不确定性推理的能力非常差。一些实验已经将模糊理论引入到上下文感知中,但结果并不令人满意,许多问题还没有解决。此外,以往的研究对语境信息的处理是统一的,没有考虑不同类型语境信息的具体特征。本文设计了基于模糊理论的上下文感知中间件,提供了一种上下文感知服务。在中间件中,上下文信息根据信息源分为两部分。结果表明,该软件实现了良好的功能扩展和准确的推理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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