Clustering OWL Documents Based on Semantic Analysis
Clustering Ontology documents on the WWW or Semantic Web is an important task in the domain of Ontology research.OWL is a standard for representing and exchanging ontologies.This paper analyzes the semantics of Ontology documents and proposes a method for computing semantic similarity between Ontology documents.The method considers the inheritance of the objects and the representation of the complicated classes.It can be used in clustering the OWL documents built by person or tool.