How new is the (RDF) news? Assessing knowledge graph completeness over news feed entities

Tomer Sagi*, Yael Wolf, Katja Hose

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Abstract

Linked Open Data and the RDF format have become the premier method of publishing structured data representing entities and facts. Specifically, media organizations, such as the New York Times and the BBC, have embraced Linked Open Data as a way of providing structured access to traditional media content, including articles, images, and video. To ground RDF entities and predicates in existing Linked Open Data sources, dataset curators provide links for some entities to existing general purpose repositories, such as YAGO and DBpedia, using entity extraction and linking tools. However, these state-of-the-art tools rely on the entities to exist in the knowledge base. How much of the information is actually new and thus unable to be grounded is unclear. In this work, we empirically investigate the prevalence of new entities in news feeds with respect to both public and commercial knowledge graphs.

Original languageEnglish
Title of host publicationThe Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019
Number of pages8
PublisherAssociation for Computing Machinery
Publication date13 May 2019
Pages714-721
ISBN (Electronic)9781450366755
DOIs
Publication statusPublished - 13 May 2019
Event2019 World Wide Web Conference, WWW 2019 - San Francisco, United States
Duration: 13 May 201917 May 2019

Conference

Conference2019 World Wide Web Conference, WWW 2019
Country/TerritoryUnited States
CitySan Francisco
Period13/05/201917/05/2019
SponsorAmazon, Bloomberg, Criteo AI Lab, et al., Google, Microsoft

Keywords

  • Emerging entities
  • Knowledge graph extension
  • News
  • RSS

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