publication . Preprint . Other literature type . 2020

Using logical constraints to validate information in collaborative knowledge graphs: a study of COVID-19 on Wikidata

Turki, Houcemeddine; Jemielniak, Dariusz; Taieb, Mohamed Ali Hadj; Gayo, Jose Emilio Labra; Aouicha, Mohamed Ben; Banat, Mus'ab; Shafee, Thomas; Prud'Hommeaux, Eric; Lubiana, Tiago; Das, Diptanshu; ...
Open Access English
  • Published: 30 Aug 2020
Abstract
Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides a forum for exchanging structured data. In this research paper, we catalog the rules describing relational and statistical COVID-19 epidemiological data and implement them in SPARQL, a query language for semantic databases. We demonstrate the efficiency of our methods to evaluate structured information, particularly COVID-19 knowledge in Wikidata, and consequently in collaborative ontologies and knowledge graphs, and we show the advantages and drawbacks of our proposed approach by comparing it to ...
Subjects
free text keywords: SPARQL, Public health surveillance, Wikidata, Knowledge graph refinement, COVID-19, Validation constraints, SPARQL, Public health surveillance, Wikidata, Knowledge graph refinement, COVID-19, Validation constraints
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Zenodo
Other literature type . 2020
Provider: Datacite
Open Access
ZENODO
Preprint . 2020
Provider: ZENODO
Open Access
Zenodo
Other literature type . 2020
Provider: Datacite
Open Access
Zenodo
Other literature type . 2020
Provider: Datacite
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