Mining the layers of ontologies and rules provides an interesting testbed for inductive reasoning on the Semantic Web. Systems based on Inductive Logic Programming (ILP) could serve the purpose if they were more compliant with 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 ILP system AC-QuIN and the OE tool Protégé-2000 in order to enable Semantic Web Mining applications of A&-QuIN. This showcase highlights practical issues of performing induction on the Semantic Web.
Practice of Inductive Reasoning on the Semantic Web: A System for Semantic Web Mining
LISI, Francesca Alessandra
2006-01-01
Abstract
Mining the layers of ontologies and rules provides an interesting testbed for inductive reasoning on the Semantic Web. Systems based on Inductive Logic Programming (ILP) could serve the purpose if they were more compliant with 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 ILP system AC-QuIN and the OE tool Protégé-2000 in order to enable Semantic Web Mining applications of A&-QuIN. This showcase highlights practical issues of performing induction on the Semantic Web.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
