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
le Clément de Saint Marcq, V., Deville, Y., Solnon, C., & Champin, P.-A. (2012). Castor: a constraint-based SPARQL engine with active filter processing. Extended Semantic Web Conference, Heraklion, Crete, GR. https://hdl.handle.net/2078.5/225725