SemLAV: Local-as-view mediation for SPARQL queries

Gabriela Montoya*, Luis Daniel Ibáñez, Hala Skaf-Molli, Pascal Molli, Maria Esther Vidal

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Book seriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8420
Pages (from-to)33-58
Number of pages26
ISSN0302-9743
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • Data integration
  • Local-as-view
  • SemanticWeb
  • SPARQL Query

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