Abstract
This paper addresses the first release of the Rule-based Query Answering and Reasoning framework (RuQAR). The tool provides the ABox reasoning and query answering with OWL 2 RL ontologies executed by forward chaining rule reasoners. We describe current implementation and an experimental evaluation of RuQAR by performing reasoning on the number of benchmark ontologies. Additionally, we compare obtained results with inferences provided by HermiT and Pellet. The evaluation shows that we can perform the ABox reasoning with considerably better performance than DL-based reasoners.
Cite
CITATION STYLE
Bak, J., Nowak, M., & Jedrzejek, C. (2014). RuQAR: Reasoning framework for OWL 2 RL ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8798, pp. 195–198). Springer Verlag. https://doi.org/10.1007/978-3-319-11955-7_17
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