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CORD-19 semantic presentation: COVID-19 Wikidata - Tue 11:10am (Boston time)

From: David Booth <david@dbooth.org>
Date: Mon, 28 Sep 2020 10:39:48 -0400
To: w3c semweb HCLS <public-semweb-lifesci@w3.org>
Cc: "Houcemeddine A. Turki" <turkiabdelwaheb@hotmail.fr>
Message-ID: <f8bcf6e2-47ba-218d-91ce-13bfe3d71548@dbooth.org>
This week's CORD-19 presentation (Sep 29):

  - Houcemeddine Turki, University of Sfax, Tunisia: Wikidata and 
COVID-19: Creating a collaborative knowledge graph from CORD-19 
scholarly publications
    11:10am (Boston time) Tuesday Sep 29

Zoom:
https://us02web.zoom.us/j/83815969391?pwd=Q0k4Nm9xc3V2K0djL0FYT2JMVTJmUT09

Abstract:
Knowledge graphs are an essential ingredient for information systems to 
handle the ever growing COVID-19 data on a daily basis. This 
presentation explains how open and collaborative FAIR knowledge bases 
like Wikidata can be useful to create a large-scale semantic 
representation of COVID-19 information from CORD-19 scholarly 
publications. I give an overview of how a data model has been 
collaboratively developed and maintained for COVID-19 knowledge, and I 
provide a detailed snapshot about the various methods used to extract 
items and statements from CORD-19 research papers. Then, I outline the 
tools for the enrichment of COVID-19 information on Wikidata as well as 
the knowledge graph validation methods applicable to COVID-19 knowledge. 
Finally, I describe the COVID-19 information in Wikidata and discuss its 
usefulness in supporting human decisions and social recommendations 
about the infectious disease.

The session will also be recorded (thanks to Victor Mireles-Chavez).

Other recorded presentations about CORD-19 semantic annotation
projects are listed here:
https://github.com/w3c/hcls/wiki/CORD-19-Semantic-Annotation-Projects

CORD-19 is a database, released by the Allen Institute, of scholarly 
literature related to COVID-19.

Thanks,
David Booth
Received on Monday, 28 September 2020 14:40:06 UTC

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