Computing the similarity between data elements is a basic functionality in flexible query answering systems. In the case of
complex data definitions, for instance in terms of an ontology, computing the similarity between data elements becomes a non-trivial
problem. In this paper, we propose a similarity measure for data described in terms of the DL-lite ontology language. In this
measure, we take
... [Show full abstract] implicit information contained in the definition of classes and relations into account. In contrast to many
other proposals for similarity measures, our proposal does not rely on structural criteria of the definitions involved but
is solely based on the logical consequences that can be drawn.