Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Query Processing for SPARQL Federations with Data Replication

Abstract : Data replication and deployment of local SPARQL endpoints improve scalability and availability of public SPARQL endpoints, making the consumption of Linked Data a reality. This solution requires synchronization and specific query processing strategies to take advantage of replication. However, existing replication aware techniques in federations of SPARQL endpoints do not consider data dynamicity. We propose FEDRA, an approach for querying federations of endpoints that benefits from replication. Participants in FEDRA federations can copy fragments of data from several datasets, and describe them using provenance and views. These descriptions enable FEDRA to reduce the number of selected endpoints while satisfying user divergence requirements. Experiments on real-world datasets suggest savings of up to three orders of magnitude.
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Gabriela Montoya Connect in order to contact the contributor
Submitted on : Thursday, February 27, 2014 - 3:53:49 PM
Last modification on : Thursday, May 12, 2022 - 9:56:36 AM
Long-term archiving on: : Tuesday, May 27, 2014 - 12:00:46 PM


Files produced by the author(s)


  • HAL Id : hal-00952830, version 1


Gabriela Montoya, Luis-Daniel Ibanez, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal. Query Processing for SPARQL Federations with Data Replication. 2014. ⟨hal-00952830⟩



Record views


Files downloads