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Poster communications

Castor: Using Constraint Programming to Solve SPARQL Queries

Vianney Le Clément de Saint-Marcq 1 Yves Deville 2 Christine Solnon 1 Pierre-Antoine Champin 3 
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We propose a new SPARQL engine, Castor, which is a lightweight solver based on Constraint Programming.
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Poster communications
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https://hal.archives-ouvertes.fr/hal-01354538
Contributor : Équipe gestionnaire des publications SI LIRIS Connect in order to contact the contributor
Submitted on : Thursday, August 18, 2016 - 7:31:51 PM
Last modification on : Friday, October 1, 2021 - 9:54:08 AM

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  • HAL Id : hal-01354538, version 1

Citation

Vianney Le Clément de Saint-Marcq, Yves Deville, Christine Solnon, Pierre-Antoine Champin. Castor: Using Constraint Programming to Solve SPARQL Queries. Natasha Noy, Lora Aroyo, Chris Welty. 10th International Semantic Web Conference (ISWC), Poster session, Oct 2011, Bonn, Germany. pp.1-4, 2011. ⟨hal-01354538⟩

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