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A community effort for COVID-19 Ontology Harmonization.

Authors :
Lin AY
Yamagata Y
Duncan WD
Carmody LC
Kushida T
Masuya H
Beverley J
Dutta B
DeBellis M
Pendlington ZM
Roncaglia P
He Y
Source :
CEUR workshop proceedings [CEUR Workshop Proc] 2022; Vol. 3073, pp. 122-127. Date of Electronic Publication: 2022 Jan 28.
Publication Year :
2022

Abstract

Ontologies have emerged to become critical to support data and knowledge representation, standardization, integration, and analysis. The SARS-CoV-2 pandemic led to the rapid proliferation of COVID-19 data, as well as the development of many COVID-19 ontologies. In the interest of supporting data interoperability, we initiated a community-based effort to harmonize COVID-19 ontologies. Our effort involves the collaborative discussion among developers of seven COVID-19 related ontologies, and the merging of four ontologies. This effort demonstrates the feasibility of harmonizing these ontologies in an interoperable framework to support integrative representation and analysis of COVID-19 related data and knowledge.

Details

Language :
English
ISSN :
1613-0073
Volume :
3073
Database :
MEDLINE
Journal :
CEUR workshop proceedings
Publication Type :
Academic Journal
Accession number :
37324543