Clustering OWL documents based on semantic analysis

Authors:
Mingxia Gao;Chunnian Liu;Furong Chen
Affiliations:
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, Beijing;Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, Beijing;R&D Center TravelSky Technology Limited
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

Clustering OWL documents on the WWW or the Semantic Web is an important task in domain of ontology research and WI research. This paper analyzes semantic of OWL documents and proposes a method for computing semantic similarity between OWL documents. The method considers inheritance of objects and representation of complex classes. It can be used in clustering OWL documents built by experts and OWL documents learned by automatic tools.