Abstract In the line of realizing the Semantic-Web by means of mechanized practices, we tackle the problem of ontology building ontologies, assisting the knowledge engineers’ job by means of Machine Learning techniques. In particular, we investigate on solutions for the induction of concept descriptions in a semi-automatic fashion. In particular we present an algorithm that is able to infer definitions in the ALC Description Logic (a sub-language of OWL-DL) from instances made available by domain experts. The effectiveness of the method with respect to past algorithms is also empirically evaluated with an experimentation in the document image understanding domain.
An algorithm based on counterfactuals for concept learning in the Semantic Web
FANIZZI, Nicola
2007-01-01
Abstract
Abstract In the line of realizing the Semantic-Web by means of mechanized practices, we tackle the problem of ontology building ontologies, assisting the knowledge engineers’ job by means of Machine Learning techniques. In particular, we investigate on solutions for the induction of concept descriptions in a semi-automatic fashion. In particular we present an algorithm that is able to infer definitions in the ALC Description Logic (a sub-language of OWL-DL) from instances made available by domain experts. The effectiveness of the method with respect to past algorithms is also empirically evaluated with an experimentation in the document image understanding domain.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
