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Authors: Le Nguyen and Deborah Stacey

Affiliation: School of Computer Science, University of Guelph, Guelph, Ontario, Canada

Keyword(s): Meta-ontology, Parameters, Animal Disease Spread, Simulation Models, Transformation, Parameters Assessment.

Abstract: This work reports on an ontological organization (framework) that separates domain knowledge from knowledge of specific views and formalizes conceptual relationships by linking to the meta-ontology structure. We use parameters of animal disease spread simulation models as an example, although all concepts presented could apply to human disease spread simulation as well. A meta-ontology is created to document parameter concepts in different comparable simulation models. It formalizes relationships between parameter concepts. This offers several advantages such as allowing explicit domain knowledge representation and provenance, allowing for the assessment of parameters with respect to domain knowledge, and assisting in usage and evaluation of the models. The meta-ontology allows views about parameter concepts to be captured. This is important because it establishes a neutral view point which allows the assessment of parameter semantics in respect to documented domain knowledge. While this work uses the domain of animal disease spread, the principles of ontological representation of model parameters is applicable to a wide range of domains. (More)

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Paper citation in several formats:
Nguyen, L. and Stacey, D. (2021). A Meta-ontology Framework for Parameter Concepts of Disease Spread Simulation Models. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 223-233. DOI: 10.5220/0010299302230233

@conference{healthinf21,
author={Le Nguyen. and Deborah Stacey.},
title={A Meta-ontology Framework for Parameter Concepts of Disease Spread Simulation Models},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF},
year={2021},
pages={223-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010299302230233},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF
TI - A Meta-ontology Framework for Parameter Concepts of Disease Spread Simulation Models
SN - 978-989-758-490-9
IS - 2184-4305
AU - Nguyen, L.
AU - Stacey, D.
PY - 2021
SP - 223
EP - 233
DO - 10.5220/0010299302230233
PB - SciTePress

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