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PatEx: Pattern Oriented RDF Graphs Exploration

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Natural Language Processing and Information Systems (NLDB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9612))

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Abstract

An increasing number of RDF datasets are available on the Web. In order to query these datasets, users must have information about their content as well as some knowledge of a query language such as SPARQL. Our goal is to facilitate the exploration of these datasets. We present in this paper PatEx, a system designed to explore RDF(S)/OWL data. PatEx provides two exploration strategies: theme-based exploration and keyword search, and users can interactively switch between the two. Moreover, the system allows the definition of patterns to formalize users’ requirements during the exploration process. We also present some evaluations performed on real datasets.

This work is supported by EDF and french ANR project CAIR.

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Notes

  1. 1.

    http://www.aifb.kit.edu/web/Hauptseite/en.

  2. 2.

    http://www.w3.org/TR/sparql11-property-paths/.

  3. 3.

    https://datahub.io/fr/dataset/yovisto.

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Authors and Affiliations

  1. DAVID Lab., Univ. Versailles St Quentin, Versailles, France

    Hanane Ouksili, Zoubida Kedad & Stéphane Lopes

  2. Department STEP, EDF R&D, Chatou, France

    Hanane Ouksili & Sylvaine Nugier

Authors
  1. Hanane Ouksili
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  2. Zoubida Kedad
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  3. Stéphane Lopes
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  4. Sylvaine Nugier
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Corresponding author

Correspondence to Hanane Ouksili .

Editor information

Editors and Affiliations

  1. ConservatoireNational desArts et Métiers, Paris, France

    Elisabeth Métais

  2. University of Salford, Salford, United Kingdom

    Farid Meziane

  3. University of Salford, Salford, United Kingdom

    Mohamad Saraee

  4. Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  5. University of Salford, Salford, United Kingdom

    Sunil Vadera

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Ouksili, H., Kedad, Z., Lopes, S., Nugier, S. (2016). PatEx: Pattern Oriented RDF Graphs Exploration. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-41754-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41753-0

  • Online ISBN: 978-3-319-41754-7

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