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A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines

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Linking Theory and Practice of Digital Libraries (TPDL 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12866))

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Abstract

In this paper, we present an efficient and accurate method to represent events from numerous public sources, such as Wikidata or more specific knowledge bases. We focus on events happening in the real world, such as festivals or assassinations. Our method merges knowledge from Wikidata and Wikipedia article summaries to gather entities involved in events, dates, types and labels. This event characterization procedure is extended by including vernacular languages. Our method is evaluated by a comparative experiment on two datasets that shows that events are represented more accurately and exhaustively with vernacular languages. This can help to extend the research that mainly exploits hub languages, or biggest language editions of Wikipedia. This method and the tool we release will for instance enhance event-centered semantic search engines, a context in which we already use it. An additional contribution of this paper is the public release of the source code of the tool, as well as the corresponding datasets.

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Notes

  1. 1.

    The package is a Python 3 library called wikivents on Pypi.org and available on the Software Heritage repository at https://archive.softwareheritage.org/swh:1:dir:ef325a054ba6f7eb1121807da7b1c92b9ecde8f8.

  2. 2.

    The dataset is hosted on Zenodo: https://doi.org/10.5281/zenodo.4733506.

  3. 3.

    Available on the Software Heritage repository at https://archive.softwareheritage.org/swh:1:dir:ef325a054ba6f7eb1121807da7b1c92b9ecde8f8.

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Authors and Affiliations

  1. Université de La Rochelle, Laboratoire L3i, 17000, La Rochelle, France

    Guillaume Bernard, Cyrille Suire, Cyril Faucher & Antoine Doucet

Authors
  1. Guillaume Bernard
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  2. Cyrille Suire
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  3. Cyril Faucher
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  4. Antoine Doucet
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Corresponding author

Correspondence to Guillaume Bernard .

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Editors and Affiliations

  1. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Gerd Berget

  2. The Open University, Milton Keynes, UK

    Mark Michael Hall

  3. Martin Luther University Halle-Wittenberg, Halle, Germany

    Daniel Brenn

  4. Tampere University, Tampere, Finland

    Sanna Kumpulainen

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Bernard, G., Suire, C., Faucher, C., Doucet, A. (2021). A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines. In: Berget, G., Hall, M.M., Brenn, D., Kumpulainen, S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2021. Lecture Notes in Computer Science(), vol 12866. Springer, Cham. https://doi.org/10.1007/978-3-030-86324-1_19

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  • DOI: https://doi.org/10.1007/978-3-030-86324-1_19

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  • Online ISBN: 978-3-030-86324-1

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