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

2020/05/07 by Shrestha Ghosh, Ghosh, Shrestha, Simon Razniewski +3
Computer Science · #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.AI #cs.DB #cs.IR

paper · pdf · doi:10.48550/arxiv.2005.03529

Accepted at ESWC 2020

arxiv created 2020/05/07 · openalex publication_date 2020/05/07 · arxiv updated 2020/05/08 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28

Abstract

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. CounQER is available at https://counqer.mpi-inf.mpg.de/spo.

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