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Assessing the Completeness of Entities in Knowledge Bases

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The Semantic Web: ESWC 2017 Satellite Events (ESWC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10577))

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Abstract

While human-created knowledge bases (KBs) such as Wikidata provide usually high-quality data (precision), it is generally hard to understand their completeness. In this paper we propose to assess the relative completeness of entities in knowledge bases, based on comparing the extent of information with other similar entities. We outline building blocks of this approach, and present a prototypical implementation.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Wikipedia:Wikidata#Article_status_indicators.

  2. 2.

    https://www.wikidata.org/wiki/User:Ls1g/Recoin.

References

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Acknowledgment

We thank Werner Nutt for comments, and Fariz Darari for technical help. This work has been partially supported by the project “TaDaQua”, funded by the Free University of Bozen-Bolzano.

Author information

Authors and Affiliations

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

    Albin Ahmeti & Axel Polleres

  2. Free University of Bozen-Bolzano, Bolzano, Italy

    Simon Razniewski

Authors
  1. Albin Ahmeti
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  2. Simon Razniewski
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  3. Axel Polleres
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Corresponding authors

Correspondence to Albin Ahmeti or Simon Razniewski .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Eva Blomqvist

  2. Aalborg University, Aalborg, Denmark

    Katja Hose

  3. University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  4. Poznan University of Technology, Poznan, Poland

    Agnieszka Ławrynowicz

  5. University of Sheffield, Sheffield, United Kingdom

    Fabio Ciravegna

  6. Linköping University, Linköping, Sweden

    Olaf Hartig

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Ahmeti, A., Razniewski, S., Polleres, A. (2017). Assessing the Completeness of Entities in Knowledge Bases. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-70407-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70406-7

  • Online ISBN: 978-3-319-70407-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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