A Community Effort for COVID-19 Ontology Harmonization

Asiyah Yu Lin; Yuki Yamagata; William D. Duncan; Leigh C. Carmody; Tatsuya Kushida; Hiroshi Masuya; John Beverley; Biswanath Dutta; Michael DeBellis; Zoë May Pendlington; Paola Roncaglia; Yongqun He

A Community Effort for COVID-19 Ontology Harmonization

Asiyah Yu Lin
, Yuki Yamagata
, William D. Duncan
, Leigh C. Carmody
, Tatsuya Kushida
, Hiroshi Masuya
, John Beverley
, Biswanath Dutta
, Michael DeBellis
, Zoë May Pendlington
, Paola Roncaglia
, Yongqun He

Philosophy

National Institutes of Health
RIKEN
Lawrence Berkeley National Laboratory
Jackson Laboratory
Indian Statistical Institute
Individual Consultant and Researcher
European Molecular Biology Laboratory
University of Michigan, Ann Arbor

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

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.

Original language	English
Pages (from-to)	122-127
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	3073
State	Published - 2021
Event	2021 International Conference on Biomedical Ontologies, ICBO 2021 - Bozen-Bolzano, Italy Duration: Sep 16 2021 → Sep 18 2021

Keywords

COVID-19
Harmonization
Knowledge integration
Ontology
SARS-CoV-2

Cite this

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title = "A Community Effort for COVID-19 Ontology Harmonization",

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.",

keywords = "COVID-19, Harmonization, Knowledge integration, Ontology, SARS-CoV-2",

author = "Lin, \{Asiyah Yu\} and Yuki Yamagata and Duncan, \{William D.\} and Carmody, \{Leigh C.\} and Tatsuya Kushida and Hiroshi Masuya and John Beverley and Biswanath Dutta and Michael DeBellis and Pendlington, \{Zo{\"e} May\} and Paola Roncaglia and Yongqun He",

note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors.; 2021 International Conference on Biomedical Ontologies, ICBO 2021 ; Conference date: 16-09-2021 Through 18-09-2021",

year = "2021",

language = "English",

volume = "3073",

pages = "122--127",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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}

TY - JOUR

T1 - A Community Effort for COVID-19 Ontology Harmonization

AU - Lin, Asiyah Yu

AU - Yamagata, Yuki

AU - Duncan, William D.

AU - Carmody, Leigh C.

AU - Kushida, Tatsuya

AU - Masuya, Hiroshi

AU - Beverley, John

AU - Dutta, Biswanath

AU - DeBellis, Michael

AU - Pendlington, Zoë May

AU - Roncaglia, Paola

AU - He, Yongqun

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - COVID-19

KW - Harmonization

KW - Knowledge integration

KW - Ontology

KW - SARS-CoV-2

UR - https://www.scopus.com/pages/publications/85124385962

M3 - Conference article

AN - SCOPUS:85124385962

SN - 1613-0073

VL - 3073

SP - 122

EP - 127

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2021 International Conference on Biomedical Ontologies, ICBO 2021

Y2 - 16 September 2021 through 18 September 2021

ER -

A Community Effort for COVID-19 Ontology Harmonization

Abstract

Keywords

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