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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Shrestha Ghosh - , Max-Planck-Institut für Informatik (Autor:in)
  • Simon Razniewski - , Max-Planck-Institut für Informatik (Autor:in)
  • Gerhard Weikum - , Max-Planck-Institut für Informatik (Autor:in)

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

OriginalspracheEnglisch
TitelThe Semantic Web
Redakteure/-innenAndreas Harth, Valentina Presutti, Raphaël Troncy, Maribel Acosta, Axel Polleres, Javier D. Fernández, Josiane Xavier Parreira, Olaf Hartig, Katja Hose, Michael Cochez
Herausgeber (Verlag)Springer Science and Business Media B.V.
Seiten84-90
Seitenumfang7
ISBN (Print)9783030623265
PublikationsstatusVeröffentlicht - 2020
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band12124 LNCS
ISSN0302-9743

Konferenz

Titel17th Extended Semantic Web Conference, ESWC 2020
Dauer31 Mai - 4 Juni 2020
StadtHeraklion
LandGriechenland

Externe IDs

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

Schlagworte

Schlagwörter

  • count information, Knowledge bases, semantics