- From: David Booth <david@dbooth.org>
- Date: Tue, 29 Sep 2020 10:50:02 -0400
- To: public-semweb-lifesci@w3.org
Slides for today's presentation: https://commons.wikimedia.org/wiki/File:W3_CORD-19_-_Wikidata_and_COVID-19.pdf On 9/28/20 10:39 AM, David Booth wrote: > 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 Tuesday, 29 September 2020 14:50:17 UTC