语义Web中本体匹配方法研究

Rubo Zhang, Ying Wang, Jing Wang
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引用次数: 10

摘要

应用本体的主要目的是实现知识的共享和重用。然而,由于没有统一的本体构建标准,语义Web中构建了大量异构本体。在此背景下,提出了一种本体匹配方法。将本体匹配问题转化为构建RDF(资源描述框架)图匹配树的问题。此外,该方法提出了一种基于匹配树中节点实体的结构相似度度量,弥补了语言相似度度量的不足。给出了我们的实现和实验结果,证明了该匹配方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Ontology Matching Approach in Semantic Web
The major purpose of applying ontology is to share and reuse knowledge. However, a large amount of heterogeneous ontologies are constructed in semantic Web, because there is not a common criterion for building ontology. Under the background, an ontology matching approach is put forward. It converts the ontology matching to the problem of building RDF (resource description framework) graph matching tree. Moreover, the approach presents a structural similarity measure based on the entities of nodes from the matching tree, compensating the inadequacies of the linguistic similarity measure. Our implementation and experimental results are given to demonstrate the effectiveness of the matching approach.
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