Re: COVID-19 Open Research Dataset

All,

Tableau has published COVID-19 data [1] which is being hosted on data.world
[2]. This data can be queried directly in SQL... and also in SPARQL! The
CSV data is represented in CSVW.

There are plenty of other datasets on data.world too.




[1] https://data.world/covid-19-data-resource-hub/covid-19-case-counts
[2] https://data.world/covid-19-data-resource-hub/covid-19-case-counts

--
Juan Sequeda, Ph.D
www.juansequeda.com


On Thu, Mar 26, 2020 at 12:26 PM Ghislain Atemezing <
auguste.atemezing@eurecom.fr> wrote:

> Hi Kingsley, Pieter
>
> Thanks for this effort!
>
> Hopefully we can now easily find answers to the following questions :
>  - All (recent?) the papers/publications on Chloroquine and side effects
> (if any)?
>  - Where are the best scientists in the world in virology ?
>  - Which drugs interact with chloroquine?
>
> Happy quarantine!
>
> Ghislain
>
>
> Le 26 mars 2020 à 16:23, Kingsley Idehen <kidehen@openlinksw.com> a écrit
> :
>
> On 3/26/20 6:48 AM, Pieter Colpaert wrote:
>
> Hi all,
>
> We have already made an effort to convert the dataset to RDF (cfr mail
> below):
>
> At IDLab (Ghent University - IDLab), we have created a Knowledge Graph
> based on the 40000 scholarly articles described in a public dataset
> available on Kaggle. The Knowledge Graph contains all of the
> information that is present in the CSV & JSON: author information,
> content information and meta information. Moreover, it contains
> relations between the different entities, such as citations between
> papers and so on and extra information on different entities such as
> journals, research institutions and countries.
>
> A Comunica instance to perform queries can be found here:
> https://query-covid19.linkeddatafragments.org/
> The code that was used to map the structured data to RDF can be found
> here: http://www.github.com/GillesVandewiele/COVID-KG/
> The Knowledge Graph is available on Kaggle:
> https://www.kaggle.com/group16/covid19-literature-knowledge-graph
> A notebook on how to work with RDF data in Python:
> https://www.kaggle.com/group16/covid-19-knowledge-graph-starter
> A notebook on working with embeddings:
> https://www.kaggle.com/group16/covid-19-knowledge-graph-embeddings
>
> This could perhaps serve as a starting point for this work? If you
> require any additional information or wish to contribute, do not
> hesitate to get back in touch with Gilles Vandewiele (in CC) who is
> leading this effort!
>
> Kind regards,
>
> Pieter
>
>
>
> Hi Pieter,
>
> Great!
>
> We've also loaded the dataset to our LOD Cloud Cache instance [1].
>
> Links:
>
> [1] https://twitter.com/kidehen/status/1243179530979860481 -- Twitter
> Thread
>
> [2] https://tinyurl.com/vupbot8 -- simple exploration index page
> generated from SPARQL query using SAMPLE()
>
> Kingsley
>
>
> On 17/03/2020 01.55, Kingsley Idehen wrote:
>
> All,
>
> COVID-19 Open Research Dataset (CORD-19) has been opened up general
> access. Naturally, this would be a great data source for Linked Data
> transformation  and publication etc..
>
> [1] https://pages.semanticscholar.org/coronavirus-research
>
>
> --
> Regards,
>
> Kingsley Idehen
> Founder & CEO
> OpenLink Software
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>
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>
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>        :
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>
>
> ---------------------------------------
> Ghislain A. Atemezing, Ph.D
> Mail: ghislain.atemezing@gmail.com
> Web: https://w3id.org/people/gatemezing <http://www.atemezing.org>
> Twitter: @gatemezing
> About Me: https://about.me/ghislain.atemezing
>
>
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