文章基本信息

标题：A Framework for Improving the Performance of Ontology Matching Techniques in Semantic Web
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作者：Kamel Hussein Shafa’amri ; Jalal Omer Atoum
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2012
卷号：3
期号：1
DOI：10.14569/IJACSA.2012.030102
出版社：Science and Information Society (SAI)
摘要：Ontology matching is the process of finding correspondences between semantically related entities of different ontologies. We need to apply this process to solve the heterogeneity problems between different ontologies. Some ontologies may contain thousands of entities which make the ontology matching process very complex in terms of space and time requirements. This paper presents a framework that reduces the search space by removing entities (classes, properties) that have less probability of being matched. In order to achieve this goal we have introduced a matching strategy that uses multi matching techniques specifically; string, structure, and linguistic matching techniques. The results obtained from this framework have indicated a good quality matching outcomes in a low time requirement and a low search space in comparisons with other matching frameworks. It saves from the search space from (43% - 53%), and saves on the time requirement from (38% - 45%).
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Ontology matching; RDF statements;Semantic web; Similarity Aggregation.