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Does Wikidata Support Analogical Reasoning?

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Knowledge Graphs and Semantic Web (KGSWC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1686))

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Abstract

Analogical reasoning methods have been built over various resources, including commonsense knowledge bases, lexical resources, language models, or their combination. While the wide coverage of knowledge about entities and events make Wikidata a promising resource for analogical reasoning across situations and domains, Wikidata has not been employed for this task yet. In this paper, we investigate whether the knowledge in Wikidata supports analogical reasoning. Specifically, we study whether relational knowledge is modeled consistently in Wikidata, observing that relevant relational information is typically missing or modeled in an inconsistent way. Our further experiments show that Wikidata can be used to create data for analogy classification, but this requires much manual effort. To facilitate future work that can support analogies, we discuss key desiderata, and devise a set of metrics to guide an automatic method for extracting analogies from Wikidata.

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Notes

  1. 1.

    http://videolectures.net/iswc2017_taylor_applied_semantics/, accessed October 2, 2022.

  2. 2.

    https://www.wikidata.org/wiki/Wikidata:Notability.

  3. 3.

    https://www.wikidata.org/wiki/Wikidata:ORES.

  4. 4.

    https://www.wikidata.org/wiki/Wikidata:Primary_sources_tool#References.

  5. 5.

    https://drive.google.com/file/d/1jJz4yAyBKjq4Mm47eMKD12w-DH5uugnN.

  6. 6.

    https://github.com/usc-isi-i2/analogical-transfer-learning/blob/main/Analogical%20Proj%20Experiments.ipynb.

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Authors and Affiliations

  1. Information Sciences Institute, University of Southern California, Los Angeles, USA

    Filip Ilievski, Jay Pujara & Kartik Shenoy

Authors
  1. Filip Ilievski
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  2. Jay Pujara
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  3. Kartik Shenoy
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Correspondence to Filip Ilievski .

Editor information

Editors and Affiliations

  1. EY wavespace/UNIR, Madrid, Spain

    Boris Villazón-Terrazas

  2. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodriguez

  3. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Sanju Tiwari

  4. University of Alcalá, Alcalá de Henares, Spain

    Miguel-Angel Sicilia

  5. Universidad Camilo José Cela, Madrid, Spain

    David Martín-Moncunill

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Ilievski, F., Pujara, J., Shenoy, K. (2022). Does Wikidata Support Analogical Reasoning?. In: Villazón-Terrazas, B., Ortiz-Rodriguez, F., Tiwari, S., Sicilia, MA., Martín-Moncunill, D. (eds) Knowledge Graphs and Semantic Web . KGSWC 2022. Communications in Computer and Information Science, vol 1686. Springer, Cham. https://doi.org/10.1007/978-3-031-21422-6_13

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  • DOI: https://doi.org/10.1007/978-3-031-21422-6_13

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