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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. © Springer-Verlag Berlin Heidelberg 2005.
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ISSN： 0302-9743
Year： 2005
Volume： 3739 LNCS
Page： 184-193
Language： English
JCR Journal Grade：4
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count：
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 7
