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Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods

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The Semantic Web: ESWC 2020 Satellite Events (ESWC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

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Abstract

Knowledge Graphs have been recognized as the foundation for diverse applications in the field of data mining, information retrieval, and natural language processing. So the completeness and the correctness of the KGs are of high importance. The type information of the entities in a KG, is one of the most vital facts. However, it has been observed that type information is often noisy or incomplete. In this work, the task of fine-grained entity typing is addressed by exploiting the pre-trained RDF2Vec vectors using supervised and unsupervised approaches.

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Notes

  1. 1.

    https://wiki.dbpedia.org/downloads-2016-10.

  2. 2.

    https://zenodo.org/record/1320211#.Xbnwf25FydI.

  3. 3.

    https://github.com/ISE-FIZKarlsruhe/DBpedia-Entity-Typing-with-RDF2Vec.

  4. 4.

    http://downloads.dbpedia.org/2016-10/core-i18n/en/instance_types_sdtyped_dbo_en.ttl.bz2.

References

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Author information

Authors and Affiliations

  1. FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

    Radina Sofronova, Russa Biswas, Mehwish Alam & Harald Sack

  2. Karlsruhe Institute of Technology, Institute AIFB, Karlsruhe, Germany

    Radina Sofronova, Russa Biswas, Mehwish Alam & Harald Sack

Authors
  1. Radina Sofronova
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  2. Russa Biswas
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  3. Mehwish Alam
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  4. Harald Sack
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Corresponding authors

Correspondence to Radina Sofronova or Russa Biswas .

Editor information

Editors and Affiliations

  1. University of Erlangen-Nuremberg, Nuremberg, Germany

    Andreas Harth

  2. National Research Council, Rome, Italy

    Valentina Presutti

  3. Eurecom, Sophia Antipolis, France

    Raphaël Troncy

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Maribel Acosta

  5. Institute for Information Business at WU Wien, Vienna, Austria

    Axel Polleres

  6. Institute for Information Business at WU Wien, Vienna, Austria

    Javier D. Fernández

  7. Siemens AG Österreich, Vienna, Austria

    Josiane Xavier Parreira

  8. Linköping University, Linköping, Sweden

    Olaf Hartig

  9. Aalborg University, Aalborg, Denmark

    Katja Hose

  10. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Michael Cochez

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Sofronova, R., Biswas, R., Alam, M., Sack, H. (2020). Entity Typing Based on RDF2Vec Using Supervised and Unsupervised Methods. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_35

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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