语义Web作为背景知识的本体匹配

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.

Ontology Matching Based on Semantic Web as Knowledge Background

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.