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Uncovering the Semantics of Wikipedia Categories

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The Semantic Web – ISWC 2019 (ISWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11778))

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Abstract

The Wikipedia category graph serves as the taxonomic backbone for large-scale knowledge graphs like YAGO or Probase, and has been used extensively for tasks like entity disambiguation or semantic similarity estimation. Wikipedia’s categories are a rich source of taxonomic as well as non-taxonomic information. The category German science fiction writers, for example, encodes the type of its resources (Writer), as well as their nationality (German) and genre (Science Fiction). Several approaches in the literature make use of fractions of this encoded information without exploiting its full potential. In this paper, we introduce an approach for the discovery of category axioms that uses information from the category network, category instances, and their lexicalisations. With DBpedia as background knowledge, we discover 703k axioms covering 502k of Wikipedia’s categories and populate the DBpedia knowledge graph with additional 4.4M relation assertions and 3.3M type assertions at more than 87% and 90% precision, respectively.

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Notes

  1. 1.

    We use this version in order to be compatible with the most recent release of DBpedia from October 2016: https://wiki.dbpedia.org/develop/datasets.

  2. 2.

    Since the DBpedia ontology does not define any functional object properties, we use a heuristic approach and treat all properties which are used with multiple objects on the same subject in less than 5% of the subjects as functional. This heuristic marks 710 out of 1,355 object properties as functional.

  3. 3.

    https://spacy.io/.

  4. 4.

    https://www.nltk.org/.

  5. 5.

    https://github.com/nheist/Cat2Ax.

  6. 6.

    http://data.dws.informatik.uni-mannheim.de/Cat2Ax.

  7. 7.

    Release of October 2016: https://wiki.dbpedia.org/develop/datasets.

  8. 8.

    https://www.mturk.com/.

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Authors and Affiliations

  1. Data and Web Science Group, University of Mannheim, Mannheim, Germany

    Nicolas Heist & Heiko Paulheim

Authors
  1. Nicolas Heist
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  2. Heiko Paulheim
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Corresponding author

Correspondence to Nicolas Heist .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

  2. Linköping University, Linköping, Sweden

    Olaf Hartig

  3. University of Bonn, Bonn, Germany

    Maria Maleshkova

  4. University of Economics Prague, Prague, Czech Republic

    Vojtěch Svátek

  5. University of Illinois at Chicago, Chicago, IL, USA

    Isabel Cruz

  6. University of Chile, Santiago, Chile

    Aidan Hogan

  7. Memect Technology, Beijing, China

    Jie Song

  8. Mines Saint-Etienne, Saint-Etienne, France

    Maxime Lefrançois

  9. Inria Sophia Antipolis - Méditerranée, Sophia Antipolis, France

    Fabien Gandon

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Heist, N., Paulheim, H. (2019). Uncovering the Semantics of Wikipedia Categories. In: Ghidini, C., et al. The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science(), vol 11778. Springer, Cham. https://doi.org/10.1007/978-3-030-30793-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-30793-6_13

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  • Print ISBN: 978-3-030-30792-9

  • Online ISBN: 978-3-030-30793-6

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