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Building a Domain Ontology to Design a Decision Support Software to Plan Fight Actions Against Marine Pollutions

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Risk and Cognition

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 80))

Abstract

The purpose of this chapter is to show that cognitive approaches can offer very powerful engineering environments to tackle issues raised by risk management. The investigated issue is the planning of actions to fight accidental marine pollutions. The response proposed is a software tool (GENEPI) to support stakeholders to plan fight actions during emergency situations or crisis management with the objective to minimize pollution impacts. From a methodological perspective, the chapter shows the importance to develop ontologies (i) for structuring a domain as perceived by its actors and (ii) for building computer tools aimed to support problem solving in that domain. Such tools are imbued of the knowledge shared by the actors of the domain, what make them more effective within critical situations. The methodological process is based on the Knowledge Engineering method: “Knowledge Oriented Design” (KOD), which is founded on the fields of linguistics and cognitive anthropology. The resulting ontology, the architecture of the software tool and the plan generation mechanism are presented and discussed.

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Authors and Affiliations

  1. Laboratoire des Sciences de l’Information et des Systèmes, Domaine Universitaire de Saint Jérôme, Avenue Escadrille Normandie-Niemen, 13397, Marseille Cedex 20, France

    Jean-Marc Mercantini

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  1. Jean-Marc Mercantini
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Correspondence to Jean-Marc Mercantini .

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  1. Avenue Escadrille Normandie-Niemen, Aix-Marseille University, Marseille Cedex, France

    Jean-Marc Mercantini

  2. Avenue Escadrille Normandie-Niemen, Aix-Marseille University, Marseille Cedex, France

    Colette Faucher

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Mercantini, JM. (2015). Building a Domain Ontology to Design a Decision Support Software to Plan Fight Actions Against Marine Pollutions. In: Mercantini, JM., Faucher, C. (eds) Risk and Cognition. Intelligent Systems Reference Library, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45704-7_8

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  • DOI: https://doi.org/10.1007/978-3-662-45704-7_8

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  • Print ISBN: 978-3-662-45703-0

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