OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects

Ruba Al Khalaf, Anna Bernasconi, Alberto García S.

2023

Abstract

The SARS-CoV-2 virus continuously accumulates genetic variation through mutations; mutations are the virus’ way to achieve viral adaptation. Although the huge amount of information accumulated on the virus during the COVID-19 pandemic, the knowledge that contributes to explaining and supporting the research related to SARS-CoV-2 characteristics and evolution is not currently organized, nor systematized. Here, we present OntoEffect, an ontology that captures and represents such information systematically. Specifically, we aim to represent the dimensions of the virus and its mutations, discussing their impacts on the virus itself, as well as on public health, prevention, and treatment protocols. Aiming to obtain ontological clarity in such a complex domain, OntoEffect was built using OntoUML, an ontology-driven conceptual modeling language, grounded on the Unified Foundational Ontology (UFO). In the highly specialized context of virology, we show the powerful ability of ontological models to provide clear and precise explanations of a domain and allow its shared understanding among stakeholders.

Paper Citation

in Bibtex Style

@conference{keod23,
author={Ruba Al Khalaf and Anna Bernasconi and Alberto García S.},
title={OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={62-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012183900003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects
SN - 978-989-758-671-2
AU - Al Khalaf R.
AU - Bernasconi A.
AU - García S. A.
PY - 2023
SP - 62
EP - 72
DO - 10.5220/0012183900003598
PB - SciTePress

in Harvard Style

Al Khalaf R., Bernasconi A. and García S. A. (2023). OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 62-72. DOI: 10.5220/0012183900003598