Managing and consuming completeness information for wikidata using COOL-WD

Radityo Eko Prasojo, Fariz Darari, Simon Razniewski, Werner Nutt

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)

Abstract

Wikidata is a fast-growing, crowdsourced, and entity-centric KB that currently stores over 100 million facts about more than 21 million entities. Such a vast amount of data gives rise to the question: How complete is information in Wikidata? It turns out that there is no easy answer since Wikidata currently lacks a means to describe the completeness of its stored information, as in, Which entities are complete for which properties? In this paper, we discuss how to manage and consume meta-information about completeness for Wikidata. Due to the crowdsourced and entity-centric nature of Wikidata, we argue that such meta-information should be simple, yet still provide potential benefits in data consumption. We demonstrate the applicability of our approach via COOL-WD (http://cool-wd.inf.unibz.it/), a completeness tool for Wikidata, which at the moment collects around 10,000 real completeness statements.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1666
Publication statusPublished - 2016
Event7th International Workshop on Consuming Linked Data, COLD 2016 - Kobe, Japan
Duration: 18 Oct 2016 → …

Keywords

  • Completeness analytics
  • Data completeness
  • Entity-centric KBs
  • Meta-information
  • Query completeness
  • Wikidata

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