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SEMWEB
2010
Springer

Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System

8 years 7 months ago
Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System
OWL 2 RL was standardized as a less expressive but scalable subset of OWL 2 that allows a forward-chaining implementation. However, building an enterprise-scale forward-chaining based inference engine that can 1) take advantage of modern multi-core computer architectures, and 2) efficiently update inference for additions remains a challenge. In this paper, we present an OWL 2 RL inference engine implemented inside the Oracle database system, using novel techniques for parallel processing that can readily scale on multi-core machines and clusters. Additionally, we have added support for efficient incremental maintenance of the inferred graph after triple additions. Finally, to handle the increasing number of owl:sameAs relationships present in Semantic Web datasets, we have provided a hybrid in-memory/disk based approach to efficiently compute compact equivalence closures. We have done extensive testing to evaluate these new techniques; the test results demonstrate that our inference en...
Vladimir Kolovski, Zhe Wu, George Eadon
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where SEMWEB
Authors Vladimir Kolovski, Zhe Wu, George Eadon
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