本体间的异构是语义网建设亟待解决的问题,本体映射则是解决本体异构的有效手段。中文资源是信息网络的重要组成部分,实现中文本体间以及中文与其他本体的映射是实现知识共享重用的一个重要组成部分。本文从元素层的角度对中文本体映射进行了研究,提出利用知网,结合多种技术计算词汇相似度,利用词汇的相似度计算概念匹配的可信度,实现元素层本体映射的算法,并根据此算法实现了ELOMC(Element Level Ontology Matching for Chinese)系统。
Abstract
Ontology heterogeneity is the problem treat to resolve in implementation of semantic web, and ontology mapping is one of the solutions. Chinese resources is an important part of information networks, and the implementation of ontology mapping between Chinese and other languages plays an important role in ontology sharing, reuse and cooperation. However, there are rare mapping researches on ontology presented in Chinese, most of them are focus on ontology in English. So this paper, considering the element level of Chinese ontology mapping, proposes an algorithm which makes use of the similarity between conceptions to get mapping between ontologies. We also developed a mapping system named ELOMC(Element Level Ontology Matching for Chinese). ELOMC uses HowNet as thesaurus and combines many kinds of technologies to get the similarity of words.
关键词
计算机应用 /
中文信息处理 /
中文本体映射 /
知网 /
词汇相似度 /
语义网
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Key words
computer application /
chinese information processing /
Chinese ontology mapping /
HowNet /
words’ similarity /
semantic web
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参考文献
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