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Allowing End Users to Query Graph-Based Knowledge Bases

  • Conference paper
Knowledge Engineering and Knowledge Management (EKAW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7603))

Abstract

Our purpose is to provide end users a means to query knowledge bases using natural language queries and thus hide the complexity of formulating a query expressed in a graph query language such as SPARQL. The main originality of our approach lies in the use of query patterns. Our contribution is materialized in a system named SWIP, standing for Semantic Web Interface Using Patterns, which is situated in the Semantic Web framework. This paper presents the main issues addressed by our work and establishes the list of the important steps (to be) carried out in order to make SWIP a fully functional system.

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Author information

Authors and Affiliations

  1. Département de Mathématiques-Informatique, IRIT, Université de Toulouse le Mirail, 5 allées Antonio Machado, F-31058, Toulouse Cedex, France

    Camille Pradel

Authors
  1. Camille Pradel
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Editor information

Editors and Affiliations

  1. Vrije Universiteit, Amsterdam, The Netherlands

    Annette ten Teije

  2. Institute of Computer Science and Business Informatics, University of Mannheim, Germany

    Johanna Völker  & Heiner Stuckenschmidt  & 

  3. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Siegfried Handschuh

  4. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Mathieu d’Acquin  & Andriy Nikolov  & 

  5. Institut de Recherche en Informatique, Université de Toulouse, 118, route de Narbonne, 31062, Toulouse Cedex 4, France

    Nathalie Aussenac-Gilles

  6. Université de Toulouse, France

    Nathalie Hernandez

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© 2012 Springer-Verlag Berlin Heidelberg

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Pradel, C. (2012). Allowing End Users to Query Graph-Based Knowledge Bases. In: ten Teije, A., et al. Knowledge Engineering and Knowledge Management. EKAW 2012. Lecture Notes in Computer Science(), vol 7603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-33876-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33875-5

  • Online ISBN: 978-3-642-33876-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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