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Efficient Retrieval of Knowledge Graph Fact Evidences

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The Semantic Web: ESWC 2019 Satellite Events (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11762))

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Abstract

We report preliminary results on the problem of efficient retrieval of evidences for knowledge graph (KG) facts from large document collections. KGs are rich repositories of human knowledge and real-world events. To verify and validate facts about entities, it is often required to spot their evidences in large news archives or on the Web. To do so, KG facts can be translated to their natural language equivalent by using surface forms. Naïvely, attempting to search for all combinations of the aliases in large document collections is a time-consuming solution. We show that by using a combination of inverted indexes over n-grams and skip-grams we can return evidences in the form of sentences for KG facts within seconds.

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Notes

  1. 1.

    https://catalog.ldc.upenn.edu/LDC2008T19.

  2. 2.

    https://catalog.ldc.upenn.edu/LDC2011T07.

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Author information

Authors and Affiliations

  1. Max Planck Institute for Informatics, Saarbrücken, Germany

    Dhruv Gupta & Klaus Berberich

  2. Graduate School of Computer Science, Saarbrücken, Germany

    Dhruv Gupta

  3. htw saar, Saarbrücken, Germany

    Klaus Berberich

Authors
  1. Dhruv Gupta
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  2. Klaus Berberich
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Corresponding author

Correspondence to Dhruv Gupta .

Editor information

Editors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Pascal Hitzler

  2. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  3. Linköping University, Linköping, Sweden

    Olaf Hartig

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer

  5. Leibniz Information Centre for Science and Technology University Library (TIB), Hannover, Germany

    Maria-Esther Vidal

  6. University of Bonn, Bonn, Germany

    Maria Maleshkova

  7. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Stefan Schlobach

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

  9. F. Hoffmann-La Roche AG, Basel, Switzerland

    Nelia Lasierra

  10. Robert Bosch GmbH, Stuttgart, Germany

    Steffen Stadtmüller

  11. Aalborg University, Aalborg, Denmark

    Katja Hose

  12. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

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Gupta, D., Berberich, K. (2019). Efficient Retrieval of Knowledge Graph Fact Evidences. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_18

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  • DOI: https://doi.org/10.1007/978-3-030-32327-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32326-4

  • Online ISBN: 978-3-030-32327-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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