Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata
Our 'Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs' is in top 5 most viewed #Databases #TheoryFormalMethods in @PeerJCompSci journal in 2022!
Our work "Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs" was among the five most viewed #Databases #TheoryFormalMethods and #WebScience articles in @PeerJCompSci in 2022!
Res Sch D.Mietchen (@EvoMRI) T.Lubiana (@lubianat) 'Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata' #Bioinformatics #Databases @thePeerJ https://t.co/8nEaX43jtj
Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata
1 Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University https://t.co/XZBFGBb1n2 https://t.co/tDv4D0XhOS
Highlighted in the #Coronaviruses and Viral Respiratory Infections Collection - Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in #Wikidata
Article https://t.co/WKXXMBDI8x
Highlighted in the #Coronaviruses and Viral Respiratory Infections Collection - Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in #Wikidata
Article https://t.co/hjjCwzHogY