About: Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19
Creator	Park, J Fortina, Paolo Kricka, Larry Park, Jason Bernardini, Sergio Dphil, Frcpath Grishkov, Maxim Kolesov, Valentin Polevikov, Sergei Satchkov, Daniel Bernardini, S Fortina, P Grishkov, M Kolesov, V Kricka, L Polevikov, S Satchkov, D
source	PMC
abstract	Emerging technologies are set to play an important role in our response to the COVID-19 pandemic. This paper explores three prominent initiatives: COVID-19 focused datasets (e.g., CORD-19); Artificial intelligence-powered search tools (e.g., WellAI, SciSight); and contact tracing based on mobile communication technology. We believe that increasing awareness of these tools will be important in future research into the disease, COVID-19, and the virus, SARS-CoV-2.
has issue date	2020-06-02(xsd:dateTime)
has license	cc-by-nc
sha1sum (hex)	5574afe507ddcd0ced340444e67f9c49767f327c
resource representing a document's title	Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19
has PubMed Central identifier	PMC7294813
schema:publication	EJIFCC
resource representing a document's body	covid:5574afe507ddcd0ced340444e67f9c49767f327c#body_text
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