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Semantic Web applications are dependent on the successful merging of a number of weakly structured, disparate data sources. The process of integrating data can be very time consuming and difficult. Due to this level of complexity, soft computing methods have been frequently employed to assist in this process. This paper defines a novel approach of applying clustering techniques to assist in the merging of ontologies. For support of enterprise processes the authors provide consideration to terminological components as well as instance relationships. Here, instance-rich ontologies are likened to applications of web document clustering for the purpose of Semantic Web-based definition.
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