Abstract
In this paper Description Logics are presented as a suitable formalism to model the CBR life cycle. We propose a general model to structure the knowledge needed in a CBR system, where adaptation knowledge is explicitly represented. Next, the CBR processes are described based on this model and the CBR system OoFRA is presented as an example of our approach.
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References
Ashley, K. & Aleven, V., 1993: “A logical representation for relevance criteria”, in Topics in CBR (Wess S., Althoff K. & Richter M., eds.), Springer-Verlag.
Borgida, A., 1996: “On the Relative Expressiveness of Description Logics and Predicate Logics”, Artificial Intelligence Journal, vol. 82, no. 1-2, pp. 353–367.
Brachman, R.J., McGuinness, D.L., Patel-Schneider, P.F., Resnick, L. & Borgida, A., 1991: “Living with CLASSIC: When and How to Use a KL-ONE-Like language”, in Principles of Semantic Networks, Morgan Kaufmann.
Coupey, P., Fouquere, C. & Salotti, S., 1998: “Formalizing Partial Matching and Similarity in CBR with a Description Logic”, Applied Artificial Intelligence, vol. 12, no. 1, pp. 71–112.
Donini, F.M., Lenzerini, M., Nardi, D., & Schaerf, A., 1996: “Reasoning in Description Logics”, in Foundation of Knowledge Representation, CSLI Publications.
Fernández-Chamizo, C., González-Calero, P., Gómez-Albarrán, M. & Herná;ndez-Yá ñez, L., 1996: “Supporting Object Reuse through Case-Based Reasoning”, Procs. EWCBR’ 96.
Gómez-Albarrán, M., González-Calero, P. & Fernández-Chamizo, C., 1998: “Framework Understanding through Explicit Knowledge Representation”, Procs. IBERAMIA’ 98.
Heinsohn, J., Kudenko, D., Nebel, B., and Profitlich, H., 1994: “An empirical analysis of terminological representation systems”. Artificial Intelligence, vol. 68, pp. 367–398
Koehler, J., 1994: “An Application of Terminological Logics to Case-based Reasoning”, Procs. KR’ 94.
Koehler, J., 1996: “Planning from Second Principles”, Artificial Intelligence, vol. 87, pp. 145–186.
Kolodner, J., 1993: Case-Based Reasoning, Morgan Kaufmann.
Leake, D. B., Kinley, A., & Wilson, D., 1996: “Acquiring Case Adaptation Knowledge: A Hybrid Approach”, Pnrocs. AAAI’ 96.
Mac Gregor, R., 1991: “The evolving technology of classification-based knowledge representation systems”, in Principles of Semantic Networks: Explorations in the Representation of Knowledge (J. Sowa, ed.), Morgan Kaufmann.
Napoli, A., Lieber, J., & Courien, R., 1996: “Classification-Based Problem Solving in Case-Based Reasoning”, Procs. EWCBR’ 96.
Napoli, A., Lieber, J. & Simon, A., 1997: “A Classification-Based Approach to Case-Based Reasoning”, Procs. DL’ 97.
Plaza, E., 1995: “Cases as Terms: A feature term approach to the structured representation of cases”, Procs. ICCBR’ 95.
Richter, M., 1995: “The knowledge contained in Similarity Measures”. Invited talk given at ICCBR’95. October, 25. http://wwwagr.informatik.unikl.de/ lsa/CBR/Richtericcbr95remarks.html
Salotti, S. & Ventos, V., 1998: “Study and Formalization of a Case-Based Reasoning System using a Description Logic”, in Procs. EWCBR’ 98.
Salton, G. & McGill, M.J., 1983: Introduction to Modern Information Retrieval, McGraw-Hill.
Tautz, C., & Althoff, K., 1997: “Using Case-Based Reasoning for Reusing Software Knowledge”, Procs. ICCBR’ 97.
Yen, J., Teh, H.,& Liu X., 1994: “Using Description Logics for Software Reuse and Case-Based Reasoning”, Procs. DL’ 94.
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Gómez-Albarrán, M., González-Calero, P.A., Díaz-Agudo, B., Fernández-Conde, C. (1999). Modelling the CBR Life Cycle Using Description Logics ⋆. In: Althoff, KD., Bergmann, R., Branting, L. (eds) Case-Based Reasoning Research and Development. ICCBR 1999. Lecture Notes in Computer Science, vol 1650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48508-2_11
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DOI: https://doi.org/10.1007/3-540-48508-2_11
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