Re: [wikicite-discuss] Representing COVID-19 information in collaborative knowledge graphs: a study of WIkidata

Congrats, Houcemeddine!

Shani.

On Thu, Sep 17, 2020 at 3:54 PM Houcemeddine A. Turki <
turkiabdelwaheb@hotmail.fr> wrote:

> Dear all,
>
> I thank you for your efforts to provide access to FAIR data about COVID-19
> pandemic. I am honoured to share with you our new research preprint
> entitled "Representing COVID-19 information in collaborative knowledge
> graphs: a study of Wikidata". This paper introduces Wikidata as a
> large-scale and collaborative multidisciplinary knowledge graph and
> provides details of how the flexible data model of Wikidata and its freely
> open and collaborative editing model can allow the construction and
> maintenance of FAIR COVID-19 data. This output also explains how SPARQL can
> be used to process and explore this interesting data to generate hidden
> insights about the infectious disease. This paper is available at
> https://doi.org/10.5281/zenodo.4028482 and has been sent for review. This
> work is complementary to another publication available at
> https://doi.org/10.5281/zenodo.4008358 explaining how multidisciplinary
> COVID-19 information on open and collaborative knowledge graphs can be
> validated and maintained using logical constraints. The figure included in
> the paper are made available for reuse under CC BY 4.0 License at
> https://commons.wikimedia.org/wiki/Category:COVID-19_Study_of_Wikidata.
> The SPARQL queries used in the research work have been provided under CC BY
> 4.0 License at
> https://www.wikidata.org/wiki/Wikidata:WikiProject_COVID-19/Queries/SPARQL_Study.
> I will be honoured to receive comments and discussions on the two research
> papers.
>
> Yours Sincerely,
>
> Houcemeddine Turki
>
>
>
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