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Handling owl:sameAs via Rewriting

Rewriting is widely used to optimise owl:sameAs reasoning in materialisation based OWL 2 RL systems. We investigate issues related to both the correctness and efficiency of rewriting, and present an algorithm that guarantees correctness, improves efficiency, and can be effectively parallelised. Our evaluation shows that our approach can reduce reasoning times on practical data sets by orders of magnitude.

preprint2014arXivOpen access
Boris MotikYavor NenovRobert PiroIan Horrocks
DatabasesArtificial IntelligenceDistributed, Parallel, and Cluster Computing
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Open access4 authors3 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Boris MotikYavor NenovRobert PiroIan Horrocks

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