CounQER: A System for Discovering and Linking Count Information in Knowledge Bases

@article{Ghosh2020CounQERAS,
  title={CounQER: A System for Discovering and Linking Count Information in Knowledge Bases},
  author={Shrestha Ghosh and Simon Razniewski and Gerhard Weikum},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.03529}
}
Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints. In this demo we showcase CounQER, a system that illustrates the alignment of counting predicates, like staffSize, and enumerating predicates, like workInstitution^{-1} . In the demonstration session, attendees can inspect these alignments, and will learn about the importance of these alignments for KB question answering and curation… 
Beyond Aggregations: Understanding Count Information for Question Answering
TLDR
This work defines and model count information and addresses its role in data curation and QA, with the end goal being to move beyond aggregations into a more systematic approach to dealing with count information.

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