@article{fanizzi2006similarity,
abstract = {Abstract. This work presents a similarity (and a derived dissimilarity) measure for Description Logics that are the theoretical counterpart of the standard representations for ontological knowledge. The focus is on the definition of a similarity measure for ALN concept descriptions, based both on the syntax and on the semantics of the descriptions elicited from the current state of the world. An extension of the measure is proposed for involving individuals and then for evaluating their (dis-)similarity, which makes it suitable for several (inductive) tasks. 1 Assessing the Similarity in Concept Languages In the Semantic Web perspective [3], similarity plays an important role in several tasks, such as classification, clustering, retrieval and knowledge integration. Nevertheless, we are still at an initial phase in the definition of measures for assessing the similarity or the dissimilarity of concepts as described in the standard ontology languages [5]. Various distance measures for concept representations have been proposed in...},
author = {Fanizzi, Nicola and D’Amato, Claudia},
journal = {Proceedings of CILC 2006 - Italian Conference on Computational Logic},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
pages = {26--27},
title = {{A similarity measure for the aln description logic}},
year = {2006}
}