But what do we actually know?

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

Contributors

  • Simon Razniewski - , Free University of Bozen-Bolzano (Author)
  • Fabian M. Suchanek - , TELECOM Paris (Author)
  • Werner Nutt - , Free University of Bozen-Bolzano (Author)

Abstract

Knowledge bases such as Wikidata, DBpedia, YAGO, or the Google Knowledge Vault collect a vast number of facts about the world. But while quite some facts are known about the world, little is known about how much is unknown. For example, while the knowledge base may tell us that Barack Obama is the father of Malia Obama and Sasha Obama, it does not tell us whether these are all of his children. This is not just an epistemic challenge, but also a practical problem for data producers and consumers. We envision that KBs become annotated with information about their recall on specific topics. We show what such annotations could look like, how they could be obtained, and survey related work.

Details

Original languageEnglish
Title of host publicationProceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics
EditorsJay Pujara, Tim Rocktaschel, Danqi Chen, Sameer Singh
PublisherAssociation for Computational Linguistics (ACL)
Pages40-44
Number of pages5
ISBN (electronic)9781941643532
Publication statusPublished - 2016
Peer-reviewedYes
Externally publishedYes

Conference

Title5th Workshop on Automated Knowledge Base Construction, AKBC 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
Duration17 June 2016
CitySan Diego
CountryUnited States of America

External IDs

ORCID /0000-0002-5410-218X/work/185318145