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Re: RE : Re: COVID-19 Open Research Dataset

From: Kingsley Idehen <kidehen@openlinksw.com>
Date: Thu, 26 Mar 2020 12:43:13 -0400
To: Houcemeddine Turki <turkiabdelwaheb@hotmail.fr>, Pieter Colpaert <pieter.colpaert@ugent.be>, public-lod@w3.org
Cc: "gilles.vandewiele@ugent.be" <gilles.vandewiele@ugent.be>
Message-ID: <e6880fcd-7370-cb47-56f8-f82d757bc4fe@openlinksw.com>
On 3/26/20 7:10 AM, Houcemeddine Turki wrote:
> Dear all,
> I thank you for your answer. It will be interesting to integrate
> CORD-19 to Wikidata. Wikidata is a free knowledge base powered by WMF
> (https://www.wikidata.org) and it currently involves a high-scale
> dataset of scholarly publications.
> Yours Sincerely,
> Houcemeddine Turki (he/him)
> Medical Student, Faculty of Medicine of Sfax, University of Sfax, Tunisia
> Vice chair, Wikimedia TN User Group
> Member, Wiki Project Med
> Member, WikiIndaba Steering Committee
> Member, Wikimedia and Library User Group Steering Committee
> ____________________
> +21629499418


Hi Houcemeddine,

Great to hear!

Note, some of the work we've done so far includes DBpedia URIs that in
some cases have owl:sameAs relations to Wikidata. Either way, you can
use a SPARQL CONSTRUCT Query from Wikidata (using SPARQL-FED) against
our URIBurner [1] and LOD Cloud Cache [2] endpoints to make additional
RDF for Wikidata etc..

Links:

[1] http://linkeddata.uriburner.com/sparql -- this is repository of Open
Data transformed to 5-Star Linked Data

[2] http://lod.openlinksw.com/sparql

[3]
https://community.openlinksw.com/t/data-wrangling-and-progressive-lod-cloud-knowledge-graph-enhancement/1599/2
-- Data Wrangling and Progressive LOD Cloud Knowledge Graph enhancement

[4] http://wikidata.demo.openlinksw.com -- Our Wikidata instance

[5] http://wikidata.demo.openlinksw.com/sparql -- Our Wikidata SPARQL
Query Service Endpoint


Kingsley


>
>
> -------- Message d'origine --------
> De : Pieter Colpaert <pieter.colpaert@ugent.be>
> Date : 2020/03/26 11:48 AM (GMT+01:00)
> À : Kingsley Idehen <kidehen@openlinksw.com>, public-lod@w3.org
> Cc : gilles.vandewiele@ugent.be
> Objet : Re: COVID-19 Open Research Dataset
>
> 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
>
> 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
> >
> -- 
> +32486747122
> https://pietercolpaert.be/#me
>
>

-- 
Regards,

Kingsley Idehen	      
Founder & CEO 
OpenLink Software   
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Received on Thursday, 26 March 2020 16:43:35 UTC

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