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Schema Discovery in RDF Data Sources

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Conceptual Modeling (ER 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9381))

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Abstract

The Web has become a huge information space consisting of interlinked datasets, enabling the design of new applications. The meaningful usage of these datasets is a challenge, as it requires some knowledge about their content such as their types and properties. In this paper, we present an automatic approach for schema discovery in RDF(S)/OWL datasets.

We consider a schema as a set of type and link definitions. Our contribution is twofold: (i) generating the types describing a dataset, along with a description for each of them called type profile; (ii) generating the semantic links between types as well as the hierarchical links through the analysis of type profiles. Our approach relies on a density-based clustering algorithm and it does not require any schema-related information in the dataset. We have implemented the proposed algorithms and we present some evaluation results showing the effectiveness of our approach.

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Notes

  1. 1.

    Silk: wifo5-03.informatik.uni-mannheim.de/bizer/silk.

  2. 2.

    Conference: data.semanticweb.org/dumps/conferences/dc-2010-complete.rdf.

  3. 3.

    BNF: datahub.io/fr/dataset/data-bnf-fr.

  4. 4.

    DBpedia: dbpedia.org.

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Acknowledgements

This work was partially funded by the French National Research Agency through the CAIR ANR-14-CE23-0006 project.

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Authors and Affiliations

  1. PRISM - University of Versailles Saint-Quentin-en-Yvelines, Versailles, France

    Kenza Kellou-Menouer & Zoubida Kedad

Authors
  1. Kenza Kellou-Menouer
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  2. Zoubida Kedad
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Corresponding authors

Correspondence to Kenza Kellou-Menouer or Zoubida Kedad .

Editor information

Editors and Affiliations

  1. Stockholm University, Kista, Sweden

    Paul Johannesson

  2. National University of Singapore, Singapore, Singapore

    Mong Li Lee

  3. Brigham Young University, Provo, Utah, USA

    Stephen W. Liddle

  4. University of Bergen, Bergen, Norway

    Andreas L. Opdahl

  5. Universidad Politécnica de Valencia, Valencia, Spain

    Óscar Pastor López

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Kellou-Menouer, K., Kedad, Z. (2015). Schema Discovery in RDF Data Sources. In: Johannesson, P., Lee, M., Liddle, S., Opdahl, A., Pastor López, Ó. (eds) Conceptual Modeling. ER 2015. Lecture Notes in Computer Science(), vol 9381. Springer, Cham. https://doi.org/10.1007/978-3-319-25264-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-25264-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25263-6

  • Online ISBN: 978-3-319-25264-3

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