Project "Covid on the Web"

Dear "Web fights Covid19" CG members,

We would like to let you know about the "Covid On The Web" project, 
launched by the Wimmics team (University Cote d'Azur, Inria, CNRS), that 
aims to adapt and combine several tools to make it easier to access and 
make sense of data related to the Covid-19.

On the one hand, the ACTA platform (Argumentative Clinical Trial 
Analysis) is designed to help clinicians analyze clinical trials and 
make decisions by automating the extraction of argumentative components 
and their visualization as graphs. On the other hand, the CORESE and 
MGExplorer platforms allow to deal with knowledge graphs and visualize 
them on the web.

"Covid On The Web" proposes to adapt these tools to a continuously 
enriched corpus and knowledge graph related to the corona family of 
viruses. The project leverages Wimmics' skills and scientific expertise 
on knowledge representation, information extraction from text, data and 
argument mining, data querying and visualization.

To start with, we have published the "CORD-19 Named Entities Knowledge 
Graph" (CORD19-NEKG), an RDF dataset that we have built using the 
Entity-fishing et DBpedia Spotlight tools to identify and disambiguate 
named entities mentioned in 45000+ scientific articles. Currently, this 
amounts to 2.6 million named entities described in RDF and linked to 
DBpedia and Wikidata (and hence Wikipedia and beyond). The dataset is 
described at and downloadable from 
https://github.com/Wimmics/cord19-nekg, and it can also be queried 
directly from our Virtuoso SPARQL endpoint: 
https://covid19.i3s.unice.fr/sparql. We registered this dataset in the 
classification tool Google Doc 
<https://docs.google.com/spreadsheets/d/1lWW9sjNBpMqT1k2C83jm6kHWtIPF3jkGNlWCnGgx2ZA/edit#gid=0> 
previously announced 
<https://lists.w3.org/Archives/Public/public-web-vs-covid19/2020Apr/0009.html> 
by Ignacio.

Please do not hesitate to let us know your thoughts and feed-back on 
this project.

Regards,
    Franck, for the Wimmics team.

Received on Monday, 4 May 2020 09:39:03 UTC