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Integrating Datalog with OWL: Exploring the AL-log Approach

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Logic Programming (ICLP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4079))

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Abstract

We present OWL-log, which is an implementation of the \(\mathcal{AL}\)-log hybrid knowledge representation system where the Description Logics component is extended to the Web Ontology Language OWL DL. We implemented an OWL-log reasoner coupled to the OWL reasoner Pellet and explored different query-answering strategies. We conducted an experimental study using a modified version of the LUBM benchmark in order to evaluate and compare the efficiency of the strategies. Also, to validate OWL-log’s usefulness we developed a prototype based on the Web ontology browsing and editing tool Swoop.

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References

  1. Heflin, J., Pan, Z., Guo, Y.: The Lehigh University Benchmark LUBM (2003), http://swat.cse.lehigh.edu/projects/lubm/

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Author information

Authors and Affiliations

  1. Universidad Simón Bolívar, Caracas, Venezuela

    Edna Ruckhaus

  2. Computer Science Dept., Univ. of Maryland, MD, USA

    Vladimir Kolovski

  3. Maryland information and Network Dynamics Lab, Univ. of Maryland, MD, USA

    Edna Ruckhaus & Bijan Parsia

  4. Information Management Group, Univ. of Manchester, Manchester, UK

    Bernardo Cuenca

Authors
  1. Edna Ruckhaus
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  2. Vladimir Kolovski
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  3. Bijan Parsia
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  4. Bernardo Cuenca
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Editor information

Editors and Affiliations

  1. University of Twente, The Netherlands

    Sandro Etalle

  2. Department of Computer Science, University of Kentucky, 40506, Lexington, KY, USA

    Mirosław Truszczyński

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© 2006 Springer-Verlag Berlin Heidelberg

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Ruckhaus, E., Kolovski, V., Parsia, B., Cuenca, B. (2006). Integrating Datalog with OWL: Exploring the AL-log Approach. In: Etalle, S., Truszczyński, M. (eds) Logic Programming. ICLP 2006. Lecture Notes in Computer Science, vol 4079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799573_46

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  • DOI: https://doi.org/10.1007/11799573_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36635-5

  • Online ISBN: 978-3-540-36636-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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