A community effort for COVID-19 Ontology Harmonization.
COVID-19
Knowledge integration
SARS-CoV-2
harmonization
ontology
Journal
CEUR workshop proceedings
ISSN: 1613-0073
Titre abrégé: CEUR Workshop Proc
Pays: Germany
ID NLM: 101560115
Informations de publication
Date de publication:
2022
2022
Historique:
medline:
1
1
2022
pubmed:
1
1
2022
entrez:
16
6
2023
Statut:
ppublish
Résumé
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.
Types de publication
Journal Article
Langues
eng
Pagination
122-127Subventions
Organisme : NLM NIH HHS
ID : T15 LM012495
Pays : United States
Organisme : NIAID NIH HHS
ID : UH2 AI132931
Pays : United States
Références
Sci Data. 2020 Jun 12;7(1):181
pubmed: 32533075
Sci Data. 2021 Jan 13;8(1):16
pubmed: 33441564
J Biomed Semantics. 2021 Jul 18;12(1):13
pubmed: 34275487