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

  • Jean-Marc Mercantini
  • Colette Faucher
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)


The return on experience in techniques to combat pollution show that their effectiveness depends on the situations in which they are implemented and that their choice is not trivial. From the maritime field perspective, the objective of the paper is to present a software tool to assist crisis management staff to minimise pollution impact due to maritime accidents. From a methodological perspective, the objective of the paper is to show 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 endowing knowledge shared by the actors of the domain, what make them more effective within critical situations. The followed designing methodological process is based on the Cognitive Engineering method "Knowledge Oriented Design” (KOD). In the paper, the methodological process will be detailed. The resulting ontology, the architecture of the software tool and the plan generation mechanism will be presented and discussed.


Cognitive Model Marine Pollution Domain Ontology Knowledge Engineer Practical Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Rempec, Guide pour la lutte contre la pollution marine accidentelle en Méditerranée, Partie D, Fascicule 1 (Avril 2002)Google Scholar
  2. 2.
    CLARA 2 Consortium: École des Mines d’Alès, le Cèdre, IFREMER, Météo France, IRSN, TOTAL, EADS, Géocéan, UBO, INERIS, SDIS 30, Préfecture Maritime de la Méditerranée, le CEPPOL, LSIS. Projet ANR (2006-2010)Google Scholar
  3. 3.
    Uschold, M., Grüninger, M.: Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2), 93–136 (1996)CrossRefGoogle Scholar
  4. 4.
    Vogel, C.: Génie cognitif. Sciences cognitives, Paris, Masson (1988)Google Scholar
  5. 5.
    Mercantini, J., Tourigny, N., Chouraqui, E.: Elaboration d’ontologies à partir de corpus en utilisant la méthode d’ingénierie des connaissances KOD. In: 1ere édition des Journées Francophones sur les Ontologies, JFO 2007, Octobre 18-20, pp. 195–214, Sousse, Tunisie (2007) ISBN: 978-9973-37-414-1Google Scholar
  6. 6.
    Gandon, F.: Ontology engineering: a survey and a return on experience. Research Report no. 4396. INRIA Sophia-Antipolis (Mars 2002)Google Scholar
  7. 7.
    Aussenac-Gilles, N., Biébow, B., Szulman, S.: Revisiting Ontology Design: A Method Based on Corpus Analysis. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 172–188. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  8. 8.
    Dahlgren, K.: A Linguistic Ontology. International Journal of Human-Computer Studies 43(5), 809–818 (1995)CrossRefGoogle Scholar
  9. 9.
    Uschold, M., King, M.: Towards a Methodology for Building Ontologies. In: Proceedings of the IJCAI 1995 Worshop on Basic Ontological Issues in Knowledge Sharing, Montréal, Canada (1995)Google Scholar
  10. 10.
    Fernández-López, M.: Overview of methodologies for building ontologies. In: Proceedings, IJCAI 1999 Workshop on Ontologies and Problem-Solving Methods (KRR5), Stockhom, Sweden, August 2, pp. 4-1–4-13 (1999)Google Scholar
  11. 11.
    Mercantini, J.M., Capus, L., Chouraqui, E., Tourigny, N.: Knowledge Engineering contributions in traffic road accident analysis. In: Jain, R.K., Abraham, A., Faucher, C., van der Zwaag, B.J. (eds.) Innovations in Knowledge Engineering, pp. 211–244 (2003)Google Scholar
  12. 12.
    Mercantini, J.-M., Turnell, M.F.Q.V., Guerrero, C.V.S., Chouraqui, E., Vieira, F.A.Q., Pereira, M.R.B.: Human centred modelling of incident scenarios. In: IEEE SMC 2004, Proceedings of the International Conference on Systems, Man & Cybernetics, The Hague, The Netherlands, October 10-13, pp. 893–898 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Laboratoire des Sciences de l’Information et des Systèmes (UMR CNRS 6168)Université Paul Cézanne (Aix-Marseille 3)Marseille cedex 20France

Personalised recommendations