Semantic Web Mining can be considered as Data Mining (DM) for/from the Semantic Web. Current DM systems could serve the purpose of Semantic Web Mining if they were more compliant with, e.g., the standards of representation for ontologies and rules in the Semantic Web and/or interoperable with well-established tools for Ontological Engineering (OE) that support these standards. In this paper we present a middleware, SWING, that integrates the DM system AL-QUIN and the OE tool Protégé-2000 in order to enable AL-QUIN to Semantic Web applications. This showcase suggests a methodology for building Semantic Web Mining systems.
Enabling Data Mining Systems to Semantic Web Applications / LISI F.A.. - 201(2006). ((Intervento presentato al convegno 3rd Italian Workshop on Semantic Web Applications and Perspectives, SWAP 2006.
Enabling Data Mining Systems to Semantic Web Applications
LISI, Francesca Alessandra
2006
Abstract
Semantic Web Mining can be considered as Data Mining (DM) for/from the Semantic Web. Current DM systems could serve the purpose of Semantic Web Mining if they were more compliant with, e.g., the standards of representation for ontologies and rules in the Semantic Web and/or interoperable with well-established tools for Ontological Engineering (OE) that support these standards. In this paper we present a middleware, SWING, that integrates the DM system AL-QUIN and the OE tool Protégé-2000 in order to enable AL-QUIN to Semantic Web applications. This showcase suggests a methodology for building Semantic Web Mining systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
