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Conference Paper
Efficient OWL Reasoning with Rules: Combining Meta-Rules and Translation
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- Authors
- Min Su Jang, Jae Hong Kim, Joo Chan Sohn
- Issue Date
- 2009-07
- Citation
- International Conference on Artificial Intelligence and Pattern Recognition (AIPR) 2009, pp.229-234
- Language
- English
- Type
- Conference Paper
- Abstract
- Rule-based logic systems like datalog and more expressive business rules have been widely applied for OWL reasoning as these logics are supported by well-studied theories and rich implementations. In this paper, we introduce an approach for rule-based OWL reasoning which combines meta-rules and translation. The approach not only improves the coverage of OWL reasoning, but also offers optimized performance. We have implemented the approach within Bossam, a rule-based OWL reasoner, and experimented with LUBM ontologies. We report the results which proved the validity of our approach for rule-based OWL reasoners.
- KSP Keywords
- Business Rules, Optimized performance, Rule-based, logic systems