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.
['Vianney le Clément de Saint-Marcq', 'Yves Deville', 'Christine Solnon', 'Pierre-Antoine Champin']
Castor: a constraint-based SPARQL engine with active filter processing