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.
A structure-based approach for ontology partitioning / Amato, Flora; De Santo, A.; Moscato, Vincenzo; Persia, F.; Picariello, Antonio; Poccia, S. R.; Sperli', Giancarlo. - (2015), pp. 184-191. (Intervento presentato al convegno 23rd Italian Symposium on Advanced Database Systems, SEBD 2015 tenutosi a Gaeta (Italy) nel June 14-17, 2015).
A structure-based approach for ontology partitioning
AMATO, FLORA;MOSCATO, VINCENZO;PICARIELLO, ANTONIO;SPERLI', GIANCARLO
2015
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
