Semantic Web Dog Food

Presented at: 5th European Semantic Web Conference (ESWC2008)

by Anthony Ventresque, Sylvie Cazalens, Philippe Lamarre, Patrick Valduriez

In semantic web applications where query initiators and information providers do not necessarily share the same ontology, semantic interoperability typically relies on ontology matching or schema mappings. Information exchange is then not only enabled by the established correspondences (the ``shared'' parts of the ontologies) but, in some sense, limited to them. Then, an important question which has not received attention is how the ``unshared'' parts can also contribute to and improve information exchange. In this paper, we address this question by considering a system where documents and queries are represented by semantic vectors. We propose a specific query expansion step at the query initiator's side and a query interpretation step at the document provider's. Through these steps, unshared concepts contribute to evaluate the relevance of documents wrt. a given query. Our experiments show an important improvement of retrieval relevance when concepts of documents and queries are not shared. Even if the concepts of the initial query are not shared by the document provider, our method still ensures 90% of the precision and recall obtained when the concepts are shared.

Keywords: query expansion, query interpretation, semantic interoperability, semantic vectors, Data Integration, SPARQL, Semantic Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2008/paper/260
Same as: http://revyu.com/things/eswc-2008-paper-improving-interoperability-spaces
Same as: http://semanticweb.org/id/Improving_interoperability_using_query_interpretation_in_semantic_vector_spaces

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