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RuQAR: Querying OWL 2 RL Ontologies with Rule Engines and Relational Databases

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Book cover Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

We present RuQAR, a tool that supports the ABox reasoning as well as query answering with OWL 2 RL ontologies. RuQAR provides a non-naive method of transforming such ontologies into rules which can be executed by a forward chaining rule engine. Thus, query answering can be performed using functions available in a rule engine. Moreover, RuQAR supports a relational database access which extends reasoning scalability. We evaluate our tool using the LUBM benchmark ontology and data stored in relational databases. We describe our approach, RuQAR’s implementation details as well as future research and development.

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Notes

  1. 1.

    http://www.w3.org/2001/sw/wiki/OWL/Implementations.

  2. 2.

    http://www.hermit-reasoner.com/.

  3. 3.

    http://www.jboss.org/drools.

  4. 4.

    http://jessrules.com/.

  5. 5.

    https://github.com/stardog-union/pellet.

  6. 6.

    KAON2 webpage: http://kaon2.semanticweb.org/.

  7. 7.

    In DB case reasoning is performed during the execution of each query.

References

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Acknowledgments

The work presented in this paper was supported by UMO-2011/03/N/ST6/01602 grant and by Polish Ministry of Science and Higher Education under grant 04/45/DSPB/0163.

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Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznan University of Technology, Piotrowo 3a, 60-965, Poznan, Poland

    Jarosław Bąk & Michał Blinkiewicz

Authors
  1. Jarosław Bąk
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  2. Michał Blinkiewicz
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Corresponding authors

Correspondence to Jarosław Bąk or Michał Blinkiewicz .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Bąk, J., Blinkiewicz, M. (2017). RuQAR: Querying OWL 2 RL Ontologies with Rule Engines and Relational Databases. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

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