Equivalent individuals on the semantic Web

• Published in: Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004 pp. 253 - 258
• Main Authors: Baowen Xu, Dazhou Kang, Jianjiang Lu, Peng Wang, Yanhui Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2004
• Subjects: Computer science; Computer science education; Educational programs; Logic; Ontologies; OWL; Semantic Web; Statistical analysis; Uncertainty
• ISBN: 0780388194; 9780780388192
• DOI: 10.1109/IRI.2004.1431470

Individuals are names of objects on the Web. Since different sources often use different names for the same object, it needs to map between these names. The semantic Web has to integrate data from heterogeneous sources. It needs to check whether two individuals are equivalent. Current approaches are based on attributes matching or logic reasoning. The logic reasoning approaches are often time-consuming or unfeasible. The approaches based on matching attributes are likely to give uncertain answers. This paper introduces a method based on disjoint-set union algorithm to speedup the reasoning processes and makes the answers reusable. Then we propose a framework of checking equivalence between individuals using both attributes matching and logic reasoning on the semantic Web.