- 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>
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