Open Access
Ontological engineering for the definition of a COVID-19 pandemic ontology
Publication type: Journal Article
Publication date: 2022-01-01
scimago Q2
SJR: 0.762
CiteScore: 8.7
Impact factor: —
ISSN: 23529148
PubMed ID:
34934805
Health Informatics
Abstract
COVID-19 has generated a lot of information in different formats, and one of them is in the ontology format. Also, there are previous ontologies from other disciplines that can help to analyze the COVID-19 pandemic. Thus, due to the large quantity of COVID-19 information in the form of ontologies, approaches to ontology integration and interoperability could be beneficial. In this context, this research proposes a new ontology, called COVID-19 Pandemic ontology, which is the product of an ontological engineering process proposed in this research that allows the integration of several ontologies to cover all the aspects of this infectious disease. The ontological engineering process defines tasks of fusion, alignment, and linking for integrating the ontologies. The resulting pandemic ontology provides a simple repository for storing information about the COVID-19, reusing existing ontologies, to offer multiple views about the disease, including the social context. This ontology has been tested in different case studies to prove its capabilities to infer useful information about the COVID-19 pandemic.
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Metrics
8
Total citations:
8
Citations from 2024:
2
(25%)
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GOST
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González-Eras A. et al. Ontological engineering for the definition of a COVID-19 pandemic ontology // Informatics in Medicine Unlocked. 2022. Vol. 28. p. 100816.
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González-Eras A., Santos R. D., Aguilar J., Jarrin Lopez A. Ontological engineering for the definition of a COVID-19 pandemic ontology // Informatics in Medicine Unlocked. 2022. Vol. 28. p. 100816.
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RIS
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TY - JOUR
DO - 10.1016/j.imu.2021.100816
UR - https://linkinghub.elsevier.com/retrieve/pii/S2352914821002811
TI - Ontological engineering for the definition of a COVID-19 pandemic ontology
T2 - Informatics in Medicine Unlocked
AU - González-Eras, Alexandra
AU - Santos, Ricardo Dos
AU - Aguilar, Jose
AU - Jarrin Lopez, Alberto
PY - 2022
DA - 2022/01/01
PB - Elsevier
SP - 100816
VL - 28
PMID - 34934805
SN - 2352-9148
ER -
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BibTex (up to 50 authors)
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@article{2022_González-Eras,
author = {Alexandra González-Eras and Ricardo Dos Santos and Jose Aguilar and Alberto Jarrin Lopez},
title = {Ontological engineering for the definition of a COVID-19 pandemic ontology},
journal = {Informatics in Medicine Unlocked},
year = {2022},
volume = {28},
publisher = {Elsevier},
month = {jan},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2352914821002811},
pages = {100816},
doi = {10.1016/j.imu.2021.100816}
}
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