SemLAV: Querying Deep Web and Linked Open Data with SPARQL

Abstract : SemLAV allows to execute SPARQL queries against the Deep Web and Linked Open Data data sources. It implements the mediator-wrapper architecture based on view definitions over remote data sources. SPARQL queries are expressed using a mediator schema vocabulary, and SemLAV selects relevant data sources and rank them. The ranking strat-egy is designed to deliver results quickly based only on view definitions, i.e., no statistics, nor probing on sources are required. In this demonstra-tion, we validate the effectiveness of SemLAV approach with real data sources from social networks and Linked Open Data. We show in differ-ent setups that materializing only a subset of ranked relevant views is enough to deliver significant part of expected results.
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Contributor : Pauline Folz <>
Submitted on : Tuesday, December 2, 2014 - 3:03:18 PM
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Pauline Folz, Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. SemLAV: Querying Deep Web and Linked Open Data with SPARQL. ESWC: Extended Semantic Web Conference, May 2014, Anissaras/Hersonissou, Greece. pp.332 - 337, ⟨10.1007/978-3-319-11955-7_44⟩. ⟨hal-01089881⟩



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