用于构建上下文感知服务的基于本体的上下文模型

Wang Wusheng, Liao Weiping, Wu Zhonghai, Chu Weijie, Mo Tong
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引用次数: 10

摘要

构建合理的上下文模型是上下文感知计算的关键问题之一。目前,许多模型都没有建立在一个通用的结构中。很难在现有模型的基础上建立其他模型。本文利用Web本体语言(OWL)构建了一个基于本体的公共上下文模型,通过在该模型中加入领域特定的概念,提供了一种高效、便捷的本体构建方法。我们展示了模型的结构,并解释了它的主要概念。利用通用模型,我们提出了解决特定领域建模过程中可能存在的位置和上下文历史问题的解决方案。最后,在通用模型的基础上建立了北京首都国际机场(BCIA)的语境模型。使用语义Web规则语言(SWRL)对BCIA模型进行了简单的推理测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ontology-Based Context Model for Building Context-Aware Services
One of the most important points in context-aware computing is to build a reasonable context model. Currently, many models were not built in a common structure. It is hard to build other models depending on the existing ones. In this paper, we build a common ontology-based context model with Web Ontology Language (OWL), which provides an efficient and convenient way of ontology-building by adding domain-specific concepts into this common model. We show the structure of the model and explain the main concepts of it. With the common model, we propose our solutions to solve the problems of position and context history that may exist in the process of modeling a specific domain. Finally, we show a context model of Beijing Capital International Airport (BCIA), which was built on the common model. A simple reasoning test is run on the BCIA model with Semantic Web Rule Language (SWRL).
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