SemLAV: Local-As-View Mediation for SPARQL Queries

Gabriela Montoya (1) , Luis Daniel Ibáñez (1) , Hala Skaf-Molli (1) , Pascal Molli (1) , Maria-Esther Vidal (2)

1 GDD - Gestion de Données Distribuées [Nantes]
2 Departamento de Computación y Tecnología de la Información

The Local-As-View(LAV) integration approach aims at querying heterogeneous data in dynamic environments. In LAV, data sources are described as views over a global schema which is used to pose queries. Query processing requires to generate and execute query rewritings, but for SPARQL queries, the LAV query rewritings may not be generated or executed in a reasonable time. In this paper, we present SemLAV, an alternative technique to process SPARQL queries over a LAV integration system without generating rewritings. SemLAV executes the query against a partial instance of the global schema which is built on-the-fly with data from the relevant views. The paper presents an experimental study for SemLAV, and compares its performance with traditional LAV-based query processing techniques. The results suggest that SemLAV scales up to SPARQL queries even over a large number of views, while it significantly outperforms traditional solutions.

Mots clés: Data Integration; Local-as-view; Sparql Query

Domaines: Algorithme et structure de données [cs.DS]; Base de données [cs.DB]

Gabriela Montoya, Luis Daniel Ibáñez, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. SemLAV: Local-As-View Mediation for SPARQL Queries. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2014, pp.33-58. ⟨10.1007/978-3-642-54426-2_2⟩. ⟨hal-00841985v2⟩