Abstract
The discovery of optimal or close to optimal query plans for SPARQL queries is a difficult and challenging problem for query optimisers of RDF engines. Despite the growing volume of work on optimising SPARQL query answering, using heuristics or data statistics (such as cardinality estimations) there is little effort on the use of OWL constructs for query optimisation. OWL axioms can be the basis for the development of schema-aware optimisation techniques that will allow significant improvements in the performance of RDF query engines when used in tandem with data statistics or other heuristics. The aim of this paper is to show the potential of this idea, by discussing a diverse set of cases that depict how schema information can assist SPARQL query optimisers.
Cite
CITATION STYLE
Papakonstantinou, V., Flouris, G., Fundulaki, I., & Gubichev, A. (2016). Some thoughts on OWL-empowered SPARQL query optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9989 LNCS, pp. 12–16). Springer Verlag. https://doi.org/10.1007/978-3-319-47602-5_3
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