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Re: COVID-19 Open Research Dataset

From: Ghislain Atemezing <auguste.atemezing@eurecom.fr>
Date: Thu, 26 Mar 2020 18:20:23 +0100
Message-Id: <E4CFEF8B-8394-4514-9B41-8192B5647ACA@eurecom.fr>
Cc: public-lod@w3.org
To: Kingsley Idehen <kidehen@openlinksw.com>
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 <https://twitter.com/kidehen/status/1243179530979860481> -- Twitter Thread
> 
> [2] https://tinyurl.com/vupbot8 <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 <https://pages.semanticscholar.org/coronavirus-research>
>>> 
> 
> -- 
> Regards,
> 
> Kingsley Idehen	      
> Founder & CEO 
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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 <https://about.me/ghislain.atemezing>









Received on Thursday, 26 March 2020 17:20:42 UTC

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