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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [3 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01089881
Contributor : Pauline Folz <>
Submitted on : Tuesday, December 2, 2014 - 3:03:18 PM
Last modification on : Thursday, July 26, 2018 - 9:05:51 AM
Long-term archiving on : Tuesday, March 3, 2015 - 1:15:02 PM

File

eswc2014pd_submission_107.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

1574

Files downloads

217