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Assessing the Completeness of Entities in Knowledge Bases

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10577)

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.

Notes

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.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Vienna University of Economics and BusinessViennaAustria
  2. 2.Free University of Bozen-BolzanoBolzanoItaly

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