Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides an ideal forum for exchanging structured data that can be verified and consolidated using validation schemas and bot edits. In this...

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Bibliographic Details
Main Authors: Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus’ab Banat, Thomas Shafee, Eric Prud’hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
Format: Article
Language:English
Published: PeerJ Inc. 2022-09-01
Series:PeerJ Computer Science
Subjects:
SPARQL
Wikidata
Public health surveillance
Knowledge graph refinement
COVID-19 epidemiology
Validation constraints
Online Access:https://peerj.com/articles/cs-1085.pdf

Internet

https://peerj.com/articles/cs-1085.pdf

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