Complex correspondences for query patterns rewriting

Pascal Gillet (1) , Cassia Trojahn dos Santos (2, 3) , Ollivier Haemmerlé (2, 3) , Camille Pradel (2)

1 IRIT - Institut de recherche en informatique de Toulouse
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
3 UT2J - Université Toulouse - Jean Jaurès

This paper discusses the use of complex alignments in the task of automatic query patterns rewriting. We apply this approach in SWIP, a system that allows for querying RDF data from natural language-based queries, hiding the complexity of SPARQL. SWIP is based on the use of query patterns that characterise families of queries and that are instantiated with respect to the initial user query expressed in natural language. However, these patterns are specific to the vocabulary used to describe the data source to be queried. For rewriting query patterns, we experiment ontology matching approaches in order to find complex correspondences between two ontologies describing data sources. From the alignments and initial query patterns, we rewrite these patterns in order to be able to query the data described using the target ontology. These experiments have been carried out on an ontology on the music domain and DBpedia ontology.

Mots clés: SWIP; Query patterns rewriting; Ontology matching

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Pascal Gillet, Cassia Trojahn dos Santos, Ollivier Haemmerlé, Camille Pradel. Complex correspondences for query patterns rewriting. The 12th International Semantic Web Conference - ISWC 2013 (Ontology Matching), Oct 2013, Sydney, Australia. pp. 49-60. ⟨hal-01152651⟩