A Similarity-Based Approach for Ontology Mapping
Ontology mapping is the key point to reach interoperability over ontologies. In semantic web environment, ontologies are usually distributed and heterogeneous and thus is necessary to find the mapping between them. Aiming at ontology mapping between different ontologies, a new synthesized algorithm of concept similarity is proposed in this paper. An advanced measure of setting candidate mapping set applied to reduce the runtime of the account. The presented algorithm involves concept name, attribute, structure and instance levels. To deal with the problem of name conflict in mapping process, we use thesaurus and statistical technique. Experimental results indicate that the proposed method can significantly outperform the baseline methods, and also obtains improvement over the existing methods.
Ontology Mapping Semantic Web Ontology Interoperability Candidate Mapping Set
WU Ya-Juan LANG Ji-Sheng SHANG Fu-Hua
School of Computer & Information Daqing Petroleum Institute Daqing, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
165-169
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）