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WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia

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ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium (TPDL 2020, ADBIS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1260))

Abstract

Domain-specific classification schemas (or subject heading vocabularies) are often used to identify, classify, and disambiguate concepts that occur in scholarly articles. In this work, we develop, apply, and evaluate a human-in-the-loop workflow that first extracts an initial category tree from crowd-sourced Wikipedia data, and then combines community detection, machine learning, and hand-crafted heuristics or rules to prune the initial tree. This work resulted in WikiCSSH; a large-scale, hierarchically-organized subject heading vocabulary for the domain of computer science (CS). Our evaluation suggests that WikiCSSH outperforms alternative CS vocabularies in terms of coverage of CS terms that occur in research articles. WikiCSSH can further distinguish between coarse-grained versus fine-grained CS concepts. The outlined workflow can serve as a template for building hierarchically-organized subject heading vocabularies for other domains that are covered in Wikipedia.

This material is based upon work supported by the Korea Institute of Science and Technology Information under Grant No. C17031. We thank Kehan Li for assistance with data annotation, and anonymous reviewers for their feedback.

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Notes

  1. 1.

    https://www.nlm.nih.gov/bsd/pubmed.html.

  2. 2.

    https://www.nlm.nih.gov/mesh/concept_structure.html.

  3. 3.

    https://physh.aps.org/.

  4. 4.

    https://mathscinet.ams.org/msc/msc2010.html.

  5. 5.

    https://dl.acm.org/ccs.

  6. 6.

    https://en.wikipedia.org/wiki/Special:CategoryTree.

  7. 7.

    https://github.com/uiuc-ischool-scanr/WikiCSSH.

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Author information

Authors and Affiliations

  1. School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA

    Kanyao Han, Pingjing Yang, Shubhanshu Mishra & Jana Diesner

Authors
  1. Kanyao Han
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  2. Pingjing Yang
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  3. Shubhanshu Mishra
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  4. Jana Diesner
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Corresponding author

Correspondence to Shubhanshu Mishra .

Editor information

Editors and Affiliations

  1. ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

  2. Slovak University of Technology, Bratislava, Slovakia

    Mária Bieliková

  3. Université Lumière Lyon 2, Lyon, France

    Omar Boussaïd

  4. University of Genova, Genova, Italy

    Barbara Catania

  5. Université Lumière Lyon 2, Lyon, France

    Jérôme Darmont

  6. Leibniz University of Hannover, Hannover, Niedersachsen, Germany

    Elena Demidova

  7. Université Claude Bernard Lyon 1, Lyon, France

    Fabien Duchateau

  8. The Open University, Milton Keynes, UK

    Mark Hall

  9. University of Ljubljana, Ljubljana, Slovenia

    Tanja Merčun

  10. National Research University Higher School of Economics, St. Petersburg, Russia

    Boris Novikov

  11. Ionian University, Corfu, Greece

    Christos Papatheodorou

  12. Goethe University Frankfurt, Frankfurt am Main, Hessen, Germany

    Thomas Risse

  13. Universitat Politècnica de Catalunya, Barcelona, Spain

    Oscar Romero

  14. AgroParisTech, Montpellier, France

    Lucile Sautot

  15. University of Lyon, Lyon, France

    Guilaine Talens

  16. Poznań University of Technology, Poznań, Poland

    Robert Wrembel

  17. University of Ljubljana, Ljubljana, Slovenia

    Maja Žumer

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Han, K., Yang, P., Mishra, S., Diesner, J. (2020). WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia. In: Bellatreche, L., et al. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium. TPDL ADBIS 2020 2020. Communications in Computer and Information Science, vol 1260. Springer, Cham. https://doi.org/10.1007/978-3-030-55814-7_17

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  • DOI: https://doi.org/10.1007/978-3-030-55814-7_17

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  • Online ISBN: 978-3-030-55814-7

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