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Improving OWL RL reasoning in N3 by using specialized rules

Dörthe Arndt (UGent) , Ben De Meester (UGent) , Pieter Bonte (UGent) , Jeroen Schaballie (UGent) , Jabran Bhatti (UGent) , Wim Dereuddre, Ruben Verborgh (UGent) , Femke Ongenae (UGent) , Filip De Turck (UGent) , Rik Van de Walle (UGent) , et al.
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Abstract
Semantic Web reasoning can be a complex task: depending on the amount of data and the ontologies involved, traditional OWL DL reasoners can be too slow to face problems in real time. An alternative is to use a rule-based reasoner together with the OWL RL/RDF rules as stated in the specification of the OWL 2 language profiles. In most cases this approach actually improves reasoning times, but due to the complexity of the rules, not as much as it could. In this paper we present an improved strategy: based on the TBoxes of the ontologies involved in a reasoning task, we create more specific rules which then can be used for further reasoning. We make use of the EYE reasoner and its logic Notation3. In this logic, rules can be employed to derive new rules which makes the rule creation a reasoning step on its own. We evaluate our implementation on a semantic nurse call system. Our results show that adding a pre-reasoning step to produce specialized rules improves reasoning times by around 75 %.
Keywords
IBCN, Notation3, Rule-based reasoning, OWL 2 RL

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Chicago
Arndt, Dörthe, Ben De Meester, Pieter Bonte, Jeroen Schaballie, Jabran Bhatti, Wim Dereuddre, Ruben Verborgh, et al. 2016. “Improving OWL RL Reasoning in N3 by Using Specialized Rules.” In Lecture Notes in Computer Science, 9557:93–104. Springer Nature.
APA
Arndt, Dörthe, De Meester, B., Bonte, P., Schaballie, J., Bhatti, J., Dereuddre, W., Verborgh, R., et al. (2016). Improving OWL RL reasoning in N3 by using specialized rules. Lecture Notes in Computer Science (Vol. 9557, pp. 93–104). Presented at the 12th International Experiences and Directions Workshop on OWL (OWLED) , Springer Nature.
Vancouver
1.
Arndt D, De Meester B, Bonte P, Schaballie J, Bhatti J, Dereuddre W, et al. Improving OWL RL reasoning in N3 by using specialized rules. Lecture Notes in Computer Science. Springer Nature; 2016. p. 93–104.
MLA
Arndt, Dörthe, Ben De Meester, Pieter Bonte, et al. “Improving OWL RL Reasoning in N3 by Using Specialized Rules.” Lecture Notes in Computer Science. Vol. 9557. Springer Nature, 2016. 93–104. Print.
@inproceedings{8503498,
  abstract     = {Semantic Web reasoning can be a complex task: depending on the amount of data and the ontologies involved, traditional OWL DL reasoners can be too slow to face problems in real time. An alternative is to use a rule-based reasoner together with the OWL RL/RDF rules as stated in the specification of the OWL 2 language profiles. In most cases this approach actually improves reasoning times, but due to the complexity of the rules, not as much as it could. In this paper we present an improved strategy: based on the TBoxes of the ontologies involved in a reasoning task, we create more specific rules which then can be used for further reasoning. We make use of the EYE reasoner and its logic Notation3. In this logic, rules can be employed to derive new rules which makes the rule creation a reasoning step on its own. We evaluate our implementation on a semantic nurse call system. Our results show that adding a pre-reasoning step to produce specialized rules improves reasoning times by around 75 \%.},
  author       = {Arndt, D{\"o}rthe and De Meester, Ben and Bonte, Pieter and Schaballie, Jeroen and Bhatti, Jabran and Dereuddre, Wim and Verborgh, Ruben and Ongenae, Femke and De Turck, Filip and Van de Walle, Rik and Mannens, Erik},
  booktitle    = {Lecture Notes in Computer Science},
  isbn         = {978-3-319-33244-4},
  issn         = {0302-9743},
  keyword      = {IBCN,Notation3,Rule-based reasoning,OWL 2 RL},
  language     = {eng},
  location     = {Bethlehem, PA},
  pages        = {93--104},
  publisher    = {Springer Nature},
  title        = {Improving OWL RL reasoning in N3 by using specialized rules},
  url          = {http://dx.doi.org/10.1007/978-3-319-33245-1\_10},
  volume       = {9557},
  year         = {2016},
}

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