Presented at: 9th Extended Semantic Web Conference (ESWC2012)
Efficient evaluation of complex SPARQL queries is still an open research problem. State-of-the-art engines are based on relational database technologies. We approach the problem from the perspective of Constraint Programming (CP), a technology designed for solving NP-hard problems. Such technology allows us to exploit SPARQL filters early-on during the search instead of as a post-processing step. We propose Castor, a new SPARQL engine based on CP. Castor performs very competitively compared to state-of-the-art engines.
Keywords: Constraint Programming, Query engine implementation, SPARQL
Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2012/paper/research/20
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