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In the line of realizing the Semantic-Web by means of mechanized practices, we tackle the problem of ontology building ontologies, assisting the\ud 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

Abstract. We investigate on the automated construction of terminologies from assertions in an expressive Description Logics representation like ALC. The overall unsupervised learning problem is decomposed into smaller supervised learning problems once clusters of disjoint concepts are detected. In turn, these problems are solved by means of refinement operators 1 .

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