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International Conference on Innovative Techniques and Applications of Artificial Intelligence

SGAI 2012: Research and Development in Intelligent Systems XXIX pp 151–164Cite as

A Generic Platform for Ontological Query Answering

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Abstract

The paper presents ALASKA, a multi-layered platform enabling to perform ontological conjunctive query answering (OCQA) over heterogeneously-stored knowledge bases in a generic, logic-based manner. While this problem knows today a renewed interest in knowledge-based systems with the semantic equivalence of different languages widely studied, from a practical view point this equivalence has been not made explicit. Moreover, the emergence of graph database provides competitive storage methods not yet addressed by existing literature.

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Author information

Authors and Affiliations

  1. LIRMM, University Montpellier II, Cedex 5, France

    Bruno Paiva Lima da Silva & Madalina Croitoru

  2. LIRMM, INRIA, Cedex 5, France

    Jean-François Baget

Authors
  1. Bruno Paiva Lima da Silva
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  2. Jean-François Baget
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  3. Madalina Croitoru
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Corresponding author

Correspondence to Bruno Paiva Lima da Silva .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Whitepost Lane The Lilacs, Portsmouth, PO1 3AH, Hampshire, United Kingdom

    Max Bramer

  2. School of Computing, Engineering & Mathe, University of Brighton, Lewes Road, Brighton, BN2 4GJ, West Sussex, United Kingdom

    Miltos Petridis

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© 2012 Springer-Verlag London

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Cite this paper

da Silva, B.P.L., Baget, JF., Croitoru, M. (2012). A Generic Platform for Ontological Query Answering. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXIX. SGAI 2012. Springer, London. https://doi.org/10.1007/978-1-4471-4739-8_11

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  • DOI: https://doi.org/10.1007/978-1-4471-4739-8_11

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4738-1

  • Online ISBN: 978-1-4471-4739-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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