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Using Logical Constraints To Validate Statistical Information About Covid-19 In Collaborative Knowledge Graphs: The Case Of Wikidata

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dc.contributor.authorTurki, Houcemeddine
dc.contributor.authorJemielniak, Dariusz
dc.contributor.authorHadj Taieb, Mohamed Ali
dc.contributor.authorLabra-Gayo, Jose Emilio
dc.contributor.authorBen Aouicha, Mohamed
dc.contributor.authorBanat, Mus'ab
dc.contributor.authorShafee, Thomas
dc.contributor.authorPrud'hommeaux, Eric
dc.contributor.authorLubiana Alves, Tiago
dc.contributor.authorDas, Diptanshu
dc.contributor.authorMietchen, Daniel
dc.date.accessioned2024-03-15T06:14:17Z
dc.date.available2024-03-15T06:14:17Z
dc.date.issued2020-08-30
dc.description.abstractUrgent 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 research article, we catalog an automatable task set necessary to assess and validate the portion of Wikidata relating to the COVID-19 epidemiology. These tasks assess statistical data and are implemented in SPARQL, a query language for semantic databases. We demonstrate the efficiency of our methods for evaluating structured non-relational information on COVID-19 in Wikidata, and its applicability in collaborative ontologies and knowledge graphs more broadly. We show the advantages and limitations of our proposed approach by comparing it to the features of other methods for the validation of linked web data as revealed by previous research.
dc.identifier.doihttps://doi.org/10.5281/zenodo.7125137
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/511
dc.identifier.urihttps://doi.org/10.60763/africarxiv/469
dc.identifier.urihttps://doi.org/10.60763/africarxiv/469
dc.identifier.urihttps://doi.org/10.60763/africarxiv/469
dc.subjectSPARQL
dc.subjectPublic health surveillance
dc.subjectValidation constraints
dc.titleUsing Logical Constraints To Validate Statistical Information About Covid-19 In Collaborative Knowledge Graphs: The Case Of Wikidata

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