Supporting Semantic Search on Heterogeneous Semi-structured Documents

Yassine Mrabet (1, 2, 3) , Nacéra Bennacer Seghouani (1) , Nathalie Pernelle (2, 3) , Mouhamadou Thiam (1, 2, 3)

1 E3S - Supélec Sciences des Systèmes
2 LRI - Laboratoire de Recherche en Informatique
3 LEO - Distributed and heterogeneous data and knowledge

This paper presents SHIRI-Querying, an approach for semantic search in semistructured documents. We propose a solution to tackle incompleteness and imprecision of annotations at querying time. This solution relies on two elementary reformulation types that use the notion of aggregation and the documents structure. We present the dynamic algorithm (DREQ) which combines these elementary transformations to construct ordered reformulations of user queries. Experimentations on two real datasets show that reformulations increase greatly the recall and that the precision is better for the first returned answers.

Mots clés: Semantic search; semistructured documents; query reformulation; ontologies; SPARQL/RDF(S)/OWL

Domaines: Recherche d'information [cs.IR]; Web

Yassine Mrabet, Nacéra Bennacer Seghouani, Nathalie Pernelle, Mouhamadou Thiam. Supporting Semantic Search on Heterogeneous Semi-structured Documents. 22nd International Conference on Advanced Information Systems Engineering, CAISE 2010, Jun 2010, Hammamet, Tunisia. pp.224-229, ⟨10.1007/978-3-642-13094-6_18⟩. ⟨hal-00502286⟩