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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Gao, M., Liu, C., & Chen, F. (2005). Clustering OWL documents based on semantic analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3739 LNCS, pp. 184–193). Springer Verlag. https://doi.org/10.1007/11563952_17
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