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

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Shrestha Ghosh - , Max Planck Institute for Informatics (Author)
  • Simon Razniewski - , Max Planck Institute for Informatics (Author)
  • Gerhard Weikum - , Max Planck Institute for Informatics (Author)

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. 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.

Details

Original languageEnglish
Title of host publicationThe Semantic Web
EditorsAndreas Harth, Valentina Presutti, Raphaël Troncy, Maribel Acosta, Axel Polleres, Javier D. Fernández, Josiane Xavier Parreira, Olaf Hartig, Katja Hose, Michael Cochez
PublisherSpringer Science and Business Media B.V.
Pages84-90
Number of pages7
ISBN (print)9783030623265
Publication statusPublished - 2020
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12124 LNCS
ISSN0302-9743

Conference

Title17th Extended Semantic Web Conference, ESWC 2020
Duration31 May - 4 June 2020
CityHeraklion
CountryGreece

External IDs

ORCID /0000-0002-5410-218X/work/185318140

Keywords

Keywords

  • count information, Knowledge bases, semantics