A community effort for COVID-19 Ontology Harmonization

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 int...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Asiyah Yu, Yamagata, Yuki, Duncan, William D., Carmody, Leigh C., Kushida, Tatsuya, Masuya, Hiroshi, Beverley, John, Dutta, Biswanath, DeBellis, Michael, Pendlington, Zoë May, Roncaglia, Paola, He, Yongqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262777/
https://www.ncbi.nlm.nih.gov/pubmed/37324543
_version_ 1785058107365261312
author Lin, Asiyah Yu
Yamagata, Yuki
Duncan, William D.
Carmody, Leigh C.
Kushida, Tatsuya
Masuya, Hiroshi
Beverley, John
Dutta, Biswanath
DeBellis, Michael
Pendlington, Zoë May
Roncaglia, Paola
He, Yongqun
author_facet Lin, Asiyah Yu
Yamagata, Yuki
Duncan, William D.
Carmody, Leigh C.
Kushida, Tatsuya
Masuya, Hiroshi
Beverley, John
Dutta, Biswanath
DeBellis, Michael
Pendlington, Zoë May
Roncaglia, Paola
He, Yongqun
author_sort Lin, Asiyah Yu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10262777
institution National Center for Biotechnology Information
language English
publishDate 2022
record_format MEDLINE/PubMed
spelling pubmed-102627772023-06-14 A community effort for COVID-19 Ontology Harmonization Lin, Asiyah Yu Yamagata, Yuki Duncan, William D. Carmody, Leigh C. Kushida, Tatsuya Masuya, Hiroshi Beverley, John Dutta, Biswanath DeBellis, Michael Pendlington, Zoë May Roncaglia, Paola He, Yongqun CEUR Workshop Proc Article 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. 2022 2022-01-28 /pmc/articles/PMC10262777/ /pubmed/37324543 Text en https://creativecommons.org/licenses/by/4.0/Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
spellingShingle Article
Lin, Asiyah Yu
Yamagata, Yuki
Duncan, William D.
Carmody, Leigh C.
Kushida, Tatsuya
Masuya, Hiroshi
Beverley, John
Dutta, Biswanath
DeBellis, Michael
Pendlington, Zoë May
Roncaglia, Paola
He, Yongqun
A community effort for COVID-19 Ontology Harmonization
title A community effort for COVID-19 Ontology Harmonization
title_full A community effort for COVID-19 Ontology Harmonization
title_fullStr A community effort for COVID-19 Ontology Harmonization
title_full_unstemmed A community effort for COVID-19 Ontology Harmonization
title_short A community effort for COVID-19 Ontology Harmonization
title_sort community effort for covid-19 ontology harmonization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262777/
https://www.ncbi.nlm.nih.gov/pubmed/37324543
work_keys_str_mv AT linasiyahyu acommunityeffortforcovid19ontologyharmonization
AT yamagatayuki acommunityeffortforcovid19ontologyharmonization
AT duncanwilliamd acommunityeffortforcovid19ontologyharmonization
AT carmodyleighc acommunityeffortforcovid19ontologyharmonization
AT kushidatatsuya acommunityeffortforcovid19ontologyharmonization
AT masuyahiroshi acommunityeffortforcovid19ontologyharmonization
AT beverleyjohn acommunityeffortforcovid19ontologyharmonization
AT duttabiswanath acommunityeffortforcovid19ontologyharmonization
AT debellismichael acommunityeffortforcovid19ontologyharmonization
AT pendlingtonzoemay acommunityeffortforcovid19ontologyharmonization
AT roncagliapaola acommunityeffortforcovid19ontologyharmonization
AT heyongqun acommunityeffortforcovid19ontologyharmonization
AT linasiyahyu communityeffortforcovid19ontologyharmonization
AT yamagatayuki communityeffortforcovid19ontologyharmonization
AT duncanwilliamd communityeffortforcovid19ontologyharmonization
AT carmodyleighc communityeffortforcovid19ontologyharmonization
AT kushidatatsuya communityeffortforcovid19ontologyharmonization
AT masuyahiroshi communityeffortforcovid19ontologyharmonization
AT beverleyjohn communityeffortforcovid19ontologyharmonization
AT duttabiswanath communityeffortforcovid19ontologyharmonization
AT debellismichael communityeffortforcovid19ontologyharmonization
AT pendlingtonzoemay communityeffortforcovid19ontologyharmonization
AT roncagliapaola communityeffortforcovid19ontologyharmonization
AT heyongqun communityeffortforcovid19ontologyharmonization

Ejemplares similares