Enabling Efficient Knowledge Reuse in the Semantic Web with SQORE
Existing approaches to ontology retrieval solely base on keyword matching and return a lengthy list of relevant ontologies which may not satisfy user requirements. Users, therefore, are not equipped with expressive means to structurally and semantically describe their ontology needs. To tackle this problem, this paper develops a framework for Semantic Query based Ontology Retrieval, namely SQORE. It enables precise formulation of a semantic query in order to best capture ontology requirements of the user, which includes not only the desired class and property names, but also their relations and restrictions. SQORE employs XML Declarative Description (XDD) theory as its theoretical foundation for modeling ontology databases and evaluating semantic queries. Moreover, similarity score, query coverage score and compactness score are formally defined as metrics for ranking the resultant ontologies. Experimental results indicate that SQORE yields better results and better rankings, when compared to existing systems.
Rachanee Ungrangsi Chutiporn Anutariya Vilas Wuwongse
Shinawatra University Asian Institute of Technology
国际会议
2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)
西安
英文
2007-10-29（万方平台首次上网日期，不代表论文的发表时间）