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An algorithm for resource discovery Based on Metadata semantic Matching in semantic Grid Environment

机译:一种基于Metadata语义匹配在语义网格环境中的资源发现算法

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In semantic grid environment, Grid resources are distributed in different peers. Ontology is used to describe resource metadata and semantic contents. Different peers maybe use different ontology to describe resources based on there own domain view. How to discover and match these resources is a hard work. In this paper, a synthetic approach of resource matching is proposed. It combines exact matching of core layer metadata and fuzzy matching of extensional layer metadata. At the same time, it takes into account of semantic matching and resource instance feature matching synthetically. This approach will improve flexibility and accuracy of resource discovery in decentralized environment.
机译:在语义网格环境中,网格资源分布在不同的同行中。本体用于描述资源元数据和语义内容。不同的对等体可能使用不同的本体来描述基于自己的域视图的资源。如何发现和匹配这些资源是一项艰苦的工作。本文提出了一种资源匹配的合成方法。它结合了核心层元数据的精确匹配和扩展层元数据的模糊匹配。同时,它考虑了合成匹配的语义匹配和资源实例功能。这种方法将提高分散环境中资源发现的灵活性和准确性。

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