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Representing Covid-19 Information In Collaborative Knowledge Graphs: The Case Of Wikidata

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dc.contributor.authorTurki, Houcemeddine
dc.contributor.authorHadj Taieb, Mohamed Ali
dc.contributor.authorShafee, Thomas
dc.contributor.authorLubiana, Tiago
dc.contributor.authorJemielniak, Dariusz
dc.contributor.authorBen Aouicha, Mohamed
dc.contributor.authorLabra-Gayo, Jose Emilio
dc.contributor.authorYoungstrom, Eric Arden
dc.contributor.authorBanat, Mus'ab
dc.contributor.authorDas, Diptanshu
dc.contributor.authorMietchen, Daniel
dc.date.accessioned2024-03-17T18:24:39Z
dc.date.available2024-03-17T18:24:39Z
dc.date.issued2020-09-14
dc.description.abstractInformation related to the COVID-19 pandemic ranges from biological to bibliographic, from geographical to genetic and beyond. The structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both additional challenges and opportunities. Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships. It acts as a web-scale platform for broader computer-supported cooperative work and linked open data, since it can be written to and queried in multiple ways in near real time by specialists, automated tools and the public. The main query language, SPARQL, is a semantic language used to retrieve and process information from databases saved in Resource Description Framework (RDF) format. Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment to multiple external databases, and its multidisciplinary organization. The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored and analyzed for purposes like decision support as well as educational and scholarly research.
dc.identifier.doihttps://doi.org/10.5281/zenodo.5544840
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/734
dc.identifier.urihttps://doi.org/10.60763/africarxiv/690
dc.identifier.urihttps://doi.org/10.60763/africarxiv/690
dc.identifier.urihttps://doi.org/10.60763/africarxiv/690
dc.subjectPublic health surveillance
dc.subjectWikidata
dc.subjectLinked Open Data
dc.titleRepresenting Covid-19 Information In Collaborative Knowledge Graphs: The Case Of Wikidata

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