Relatrice: prof.ssa Renee Miller
Department of Computer Science
University of Toronto

martedì 10 novembre 2009, ore 17:00, aula 39 del Dipartimento di Matematica

Sommario: There is a great deal of research on schema and ontology integration which makes use of rich logical constraints to reason about the structural and logical alignment of schema and ontologies. There is also considerable work on matching data instances from heterogeneous schema or ontologies. However, little work exploits the fact that ontologies include both data and structure. We provide a first step in closing this gap with a new algorithm (Iliads) that integrates both data matching and logical reasoning to achieve better matching of ontologies. We evaluate our algorithm on a set of pairs of OWL Lite ontologies with the schema and data matchings found by human reviewers. We compare against two systems - the ontology matching tool FCA-merge and the schema matching tool COMA++.
This is preliminary work in this area and the talk will highlight further opportunities for integrating data matching (including entity resolution) with schema matching and mapping. This is joint work with Octavian Udrea and Lise Getoor of the University of Maryland which appeared in SIGMOD 2007.