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Supporting Global Knowledge Concerning Risk Domain: Ontologies Put into Practice

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Computational Science and Its Applications – ICCSA 2024 Workshops (ICCSA 2024)

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Abstract

Developing strategies and solutions to cope with the increasing risks that populations constantly face has become essential to encourage effective preventive planning and prompt responses. In this regard, and from a more theoretical perspective, the relevance of developing a formal conceptualization of the world by linking concepts through logical rules to allow knowledge sharing is recognized as the primary purpose by the Authors. Users working in the same Risk domain, intended as a function of Hazard, Vulnerability, Exposure, and Adaptation (as a reducing factor), require a system of explicit representations that can reduce the conceptual and terminological confusion to have a shared interpretation. Therefore, ontologies are employed to overcome such issues. Ontologies can improve semantic interoperability by isolating the core concepts’ domain, defining relations among them, and providing hierarchically structured descriptions of the most important concepts and their properties. Thus, an ontology about the Risk domain has been built using the Protégé editor through some steps: identifying the main concepts related to the domain, organizing the concepts through a structured hierarchy that implements the IS_A relation, and finally specifying further possible relations existing among the inserted terms.

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Author information

Authors and Affiliations

  1. DICAr – Università degli studi di Pavia, via Ferrata 3, Pavia, 27100, Italy

    Caterina Pietra, Elisabetta Maria Venco & Roberto De Lotto

  2. Scuola di Ingegneria – Università degli Studi della Basilicata, Campus di Macchia Romana, via dell’Ateneo Lucano, 10, 85100, Potenza, Italy

    Beniamino Murgante

Authors
  1. Caterina Pietra
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  2. Beniamino Murgante
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  3. Elisabetta Maria Venco
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  4. Roberto De Lotto
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Corresponding author

Correspondence to Caterina Pietra .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Clayton Campus, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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Pietra, C., Murgante, B., Venco, E.M., De Lotto, R. (2024). Supporting Global Knowledge Concerning Risk Domain: Ontologies Put into Practice. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14820. Springer, Cham. https://doi.org/10.1007/978-3-031-65285-1_17

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  • DOI: https://doi.org/10.1007/978-3-031-65285-1_17

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