The paper proposes an ontology matching method based on the semantic Web as knowledge background-automatic exploration of various online knowledge resources. Some key problems are determined to obtain a feasible model and provide a good ontology matching method. The evaluation is carried out on a large-scale background to examine feasibility and limitation of this model, and its relations with other approaches. Experimental results indicate that the precision of the proposed method can achieve 70%, suggesting that it is a supplement to existing methods, and is compatible with others.The method can promote the development of ontology matching.%提出了一个基于语义网为背景知识的本体匹配模式,即自动寻找和检索各种网络的知识资源得出映射,根据一些关键问题获得可行的模式、提供一个良好性能的匹配方法.采取了一个大规模的匹配为实验背景,检验了以语义网为背景知识的本体匹配模式的可行性、局限性、与其他技术的结合性.实验结果表明以语义Web为背景知识的方法本体匹配的精确度为70%.说明以语义Web为背景知识的本体匹配是对现有技术的补充,并可兼容于其他方法,其匹配的精确度也有了进一步的提高.
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