Abstract
The paper presents a study of the use of past experience in emergency management with an application to Forest Fire-Fighting Management. Our objective is the sharing of experience between the emergency managers in order to support the re-planning task, regarded as the relevant task of Forest Fire-Fighting Management. Therefore it is necessary to establish a common working language to facilitate sharing. First, we present the methodology used to determine the key element of this language, which is called a unit of experience. We then introduce a method to capitalize such units. Next, we describe the utilization of units of experience to improve emergency management. The reasoning method provides several levels of support to fire managers.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dykstra, D.P.:Systèmes d’information appliqués à la foresterie. Unasylva 189. Vol. 48, (1997), 10–15.
Xanthopoulos, G.: Development of a Decision Support System for water bomber dispatching in Greece. In Proc. 2nd Int. Conf. FFR. Vol. I, A.08, Coimbra, (1994), 139–150.
Avesani, P., Perini, A. and Ricci, F.: Combining CBR and Constraint Reasoning in Planning Forest Fire Fighting. EWCBR’93. Springer-Verlag. (1993).
Huet, P.: Risques naturels et retour d’expérience: est-ce pour bientôt? Retours d’Expérience, Annales des Ponts et Chaussées. n° 91, Septembre, (1999), 54–61.
Muñoz-Avila, H., Hendler, J.A. and Aha, D.W.: Towards a Conversational Case-Based Planning Tool. (1998). Review of Applied Expert Systems.
Studer, R., Benjamins, R. and Fensel, D.: Knowledge Engineering: Principles and Methods. Data and Knowledge Engineering. 25(1–2), March, (1998).
Delaître, S., Mille, A. and Moisan, S.: Instrumentation d’un processus de retour d’expérience pour la gestion des risques. IC2000. May (2000).
Hammond, K.J.: CBP-Viewing planning as a memory task. Academic Press Inc. (1989).
Carbonell J.G.: Learning by Analogy: Formulating and Generalizing Plans from Past Experience. In Machine Learning: An Artificial Intelligence Approach. (1983), 137–161.
Hank, S. and Weld, D.S.: A Domain Independent Algorithm for plan-adaptation. Journal of Artificial Intelligence Research 2, (1995), 319–360.
Jarke, M.: Experience-Based Knowledge Management. In A. Solvberg, S. Brinkkemper, E. Lindencrona. (eds.): Information Systems Engineering, Springer-Verlag, June (2000).
Ermine, J-L.: Capitaliser et partager les connaissances avec la méthode MKSM. Traité IC2. Volume „Capitalisation des Connaissances ”, Hermès, (2000).
Sorli. A., Coll. G.J., Dehli. E., and Tangen. K.: Knowledge Sharing in Distributed Organisations. IJCAI-99 Workshop on KM and Organizational Memories. (1999).
Malvache, P., Eichenbaum, C. and Prieur, P.: La maîtrise du retour d’expérience avec la méthode REX. Performances Humaines et Techniques. n° 69, Mars–Avril (1994), 6–13.
reenlee, J.: Possible Lesson Learned in Florida. Wildfire. Vol.7, n°11, (1998), 12–14.
Gilbert, C.: Premiers éléments de réflexion pour une approche transversale du retour d’expérience. Retours d’Expérience, Annales des Ponts et Chaussées. n° 91, (1999), 4–10.
Turner, R.M.: Adaptative Reasoning for Real-World Problems: A Schema Based Approach. LEA Publischers, Hillsdale, New Jersey, (1994).
Tate, A., Hendler, J. and Drummond, M.: A review of AI Planning Techniques. In Readings in Planning, J. Allen, J. Hendler, and A. Tate. (eds): Morgan Kaufmann Publishers, (1990), 26–49.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Delaître, S., Moisan, S. (2000). Knowledge Management by Reusing Experience. In: Dieng, R., Corby, O. (eds) Knowledge Engineering and Knowledge Management Methods, Models, and Tools. EKAW 2000. Lecture Notes in Computer Science(), vol 1937. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39967-4_23
Download citation
DOI: https://doi.org/10.1007/3-540-39967-4_23
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41119-2
Online ISBN: 978-3-540-39967-4
eBook Packages: Springer Book Archive