虚拟计算环境下基于本体的上下文推理效率研究

Shanshan Wang, Gang Wu, XiaoChong Cao
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引用次数: 0

摘要

上下文感知计算是虚拟计算环境中的关键问题之一。本文旨在将基于本体的上下文建模和推理方法与传统的非语义上下文建模和推理方法进行比较。给出了虚拟计算中服务动态聚合与演化的一般场景。并分别采用基于OWL的方法和标记模式对环境上下文进行建模。然后设计了两组实验,从推理效率、建模能力和方便性等不同角度对这两种方法进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards the Efficiency of Ontology-Based Context Reasoning in Virtual Computing Environment
Context-aware computing is one of the key issues in virtual computing environment. This paper aims to compare the ontology-based context modeling and reasoning approach with the traditional non-semantic one. A general scenario of virtual computing is given about the dynamical service aggregation and evolution. And the context of the environment is modeled respectively using an OWL based way and a Markup scheme. Then two sets of experiments are designed to analyze these two approaches from different perspectives like reasoning efficiency, modeling capability and convenience.
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