In this paper, we present a novel structure-based partition- ing algorithm opportunely designed to break a large ontology into dif- ferent modules related to specific topics for the domain of interest. The main idea behind our work is to exploit topological properties of the ontology graph and several techniques derived from Network Analysis to produce an effective partitioning without considering any information about semantics of ontology relationships. Several preliminary experi- ments conducted to validate the effectiveness of our approach are also reported.
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