Ontological Foundations of Resilience

Pedro Paulo F. Barcelos*, Rodrigo F. Calhau, Ítalo Oliveira, Tiago Prince Sales, Frederik Gailly, Geert Poels, Giancarlo Guizzardi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Amid rising global challenges, resilience is attracting increased interest across various disciplines. However, significant ambiguities, vagueness, and variations in its definitions present notable obstacles to interdisciplinary communication and practical application. These semantic issues negatively impact not only the applications that rely on these definitions but also undermine the integrity of the conceptual models built from them, rendering them unable to ensure interoperability and clarity for their intended users. Recognizing the need for a robust and clear definition of resilience, this work addresses the complexity inherent in the concept by performing an ontological analysis using the Unified Foundational Ontology (UFO) and creating a sound core ontology model with OntoUML, UFO’s related conceptual modeling language. This research unfolds the conceptualization of resilience by investigating its fundamental categories and related concepts. We explore essential aspects of resilience, examining whether it preexists disturbances or is developed in response to them. We also identify its relational dependencies, establish how it is actualized, and determine the circumstances under which it becomes perceptible. Following our analysis of the ontological nature of resilience, the paper establishes an ontologically well-founded definition of this concept. To illustrate the practical application of our theoretical findings, we present a specific case in the field of production management.

Original languageEnglish
Title of host publicationConceptual Modeling
Subtitle of host publication43rd International Conference, ER 2024, Pittsburgh, PA, USA, October 28–31, 2024, Proceedings
EditorsWolfgang Maass, Hyoil Han, Hasan Yasar, Nick Multari
Place of PublicationCham
PublisherSpringer
Pages396-416
Number of pages21
ISBN (Electronic)978-3-031-75872-0
ISBN (Print)978-3-031-75871-3
DOIs
Publication statusPublished - 21 Oct 2024
Event43rd International Conference on Conceptual Modeling, ER 2024 - Pittsburgh, United States
Duration: 28 Oct 202431 Oct 2024
Conference number: 43

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume15238
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference43rd International Conference on Conceptual Modeling, ER 2024
Abbreviated titleER 2024
Country/TerritoryUnited States
CityPittsburgh
Period28/10/2431/10/24

Keywords

  • 2025 OA procedure
  • Ontology
  • OntoUML
  • Resilience
  • Unified Foundational Ontology
  • Ontological Analysis

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  • Automated Semantic Annotation Pipeline for Brazilian Judicial Decisions

    Costa, M. Z., Robson, D. F., Vieira, T. B. P., Bourguet, J.-R., Guizzardi, G. & Almeida, J. P. A., 2024, Legal Knowledge and Information Systems - JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024. Savelka, J., Harasta, J., Novotná, T. & Mísek, J. (eds.). IOS, Vol. 395. p. 226-238 13 p. (Frontiers in Artificial Intelligence and Applications).

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