Pay-As-You-Go OWL Query Answering Using a Triple Store
Yujiao Zhou, Yavor Nenov, Bernardo Cuenca Grau, Ian Horrocks · Proceedings of the AAAI Conference on Artificial Intelligence · 2014
We present an enhanced hybrid approach to OWL query answering that combines an RDF triple-store with an OWL reasoner in order to provide scalable pay-as-you-go performance. The enhancements presented here include an extension to deal with arbitrary OWL ontologies, and optimisations that significantly improve scalability. We have implemented these techniques in a prototype system, a preliminary evaluation of which has produced very encouraging results.