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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CITATION STYLE
Ahmeti, A., Razniewski, S., & Polleres, A. (2017). Assessing the Completeness of Entities in Knowledge Bases. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10577 LNCS, pp. 7–11). Springer Verlag. https://doi.org/10.1007/978-3-319-70407-4_2
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