CERISE: A cyclic approach for knowledge acquisition
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In this paper, we present CERISE, a workbench for cyclic acquisition of knowledge.
Our approach is based on the following features:
The origin of this approach is to be found in the KADS modelisation.
This approach is complete because it guides the expert during the acquisition process right to the expression of knowledge rules.
an “internal” acquisition cycle is supported by a progressive refinement of the knowledge model;
an “external” cycle, made possible by the operationnalization of CERISE, is supported by the validation of the model on real data.
Lastly, this approach is checked, in order to preserve the internal coherence of various knowledge models along the acquisition process.
KeywordsDomain Knowledge Knowledge Acquisition Knowledge Source Acquisition Process Knowledge Model
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- 1.B.J. Wielinga, A. Th. Schreiber, J.A. Breuker: KADS: a modelling approach to knowledge engineering. In Knowledge Acquisition, p.5–53, Vol.4, March 1992.Google Scholar
- 2.R. de Hoog, R. Martil, B. Wielinga, R. Taylor, C. Bright: The Common KADS model set. ESPRIT Project P5248 KADS-II, Document Id. KADS-II/WP I II/RR/UvA/018/3.2. April 1992.Google Scholar
- 3.F. Van Harmelen, J. Balder: (ML)2: A formal language for KADS models of expertise. In knowledge Acquisition, p.127–161, Vol.4, March 1992.Google Scholar
- 4.D.L. Parnas, P.C. Clement: A Rational Design Process: how and why to fake it. IEEE Transactions on Software Engineering, vol. SE-12, n∘2, Feb. 1986, p.251–257.Google Scholar
- 5.M. Linster: Linking modeling to make sense and modeling to implement systems in an operational environment. In T. Wetter, K.D Althoff, J. Boose, B. Gaines, M. Linster, and F. Schmalhofers, editors, EKAW92, LNAI, Heidelberg, January 1992.Google Scholar
- 6.L. Steels: Components of Expertise. AI Magazine, Summer 1990Google Scholar
- 7.W. Karbach, M. Linster, A. Voss: Models, methods, roles and tasks: many labels_one idea? Knowledge Acquisition (1990) 2, p. 279–299.Google Scholar
- 8.B. Chandrasekaran: Generic tasks in knowledge-based reasoning: high level building blocks for expert system design. IEEE Expert, Automn 1986. p. 23–30.Google Scholar
- 9.M.A. Musen: Automated Generation of Model-Based Knowledge-Acquisition Tools, Pitman Publishing, London, 1989.Google Scholar
- 10.L. Eshelman: MOLE: A Knowledge-Acquisition Tool for Cover-and-Differentiate Systems. Sandra Marcus editor. Kluwer Academic Publishers, 1988.Google Scholar
- 11.B.J. Wielinga, A. Th. Schreiber, J.A. Breuker: Models of Expertise. European Conference of Artificial Intelligence (ECAI 86), 1986.Google Scholar
- 12.P. Lévine and J.-CH Pomerol: Knowledge Representation by Schemata in Financial Expert Systems. Theory and Decision 27 (1989) 147–161Google Scholar
- 13.M. Suwa, A. Scott, E. Shortliffe: An approach to verifying Completeness and Correctness in a Rule-Based Expert System. In the AI Magazine Fall 1982, p.16–21.Google Scholar
- 14.T.A. N'Guyen, W.A. Perkins, T.J. Laffay, D. Pecora: Checking an Expert System Knowledge Base for Consistency and Completeness. In the Proceedings of IJCAI'85, p.375–378.Google Scholar
- 15.G. Ravi Prakash, E. Subrahmanian, H.N. Mahabala: A Methodology for Systematic Verification of OPS5-Based AI Applications. In the Proceedings of UCAI'91, Vol.1, p.3–8.Sidney, Australia. 1991.Google Scholar
- 16.S. Loiseau: Refinement of Knowledge Bases Based on Consistency. In the Proceedings of ECAI'92, p.845–849. Vienna, Austria.Google Scholar
- 17.P. Meseguer: Incremental Verification of Rule-Based Expert Systems. In the Proceedings of ECAI'92, p.840–844. Vienna, Austria.Google Scholar
- 18.C. Vicat, P. Brezillon, C. Nottola: Knowledge validation in the building of a knowledge-based system. Proceedings of EUROVAV'93. Palma. Spain.Google Scholar
- 19.R. Enand, G.S. Kahn, R.A. Mills: A Methodology for Validating Large Knowledge-Bases. Proceedings of the 3rd AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, p.5.1–5.11, Banff, November, 1988.Google Scholar
- 20.I. Benbasat, J.S Dhaliwal: The validation of knowledge acquisition: methodology and techniques, in Third European Workshop on Knowledge Acquisition for Knowledge-Based Systems, p.60–69, Paris, July 1989. EKAW.Google Scholar
- 21.D. Canamero, S. Geldof: Coupling Modeling and Validation in COMMET. 4èmes Jounées d'Acquisition des Connaissances, 29 mars–2 avril 1993, Saint-Raphael, France.Google Scholar
- 22.F. Brassier, J.Y. Lapicque, A. Rouge: Vital Quality Approach and Vital Verification and Validation Methodology. Esprit II Project P5365, Document reference: DD121, April 1992.Google Scholar
- 23.P. Lafon: Méthodes de Vérification de Bases de Connaissances. E.N.P.C. Thesis. December 91. France.Google Scholar
- 24.S. Xanthakis, L. Maesano, A. Le Gall, E. Rabaux: Application de l'analyse du flot de données pour la vérification d'un modèle conceptuel KADS. Journées Francophones de la Validation et de la Vérification des Systèmes à Base de Connaissances, Dourdan, Avril 1992. France.Google Scholar
- 25.T. Williams, K. Parker: Design for testability: a survey. IEEE Transactions on computers, Vol 31, n∘1, 1982Google Scholar
- 26.D. Porter: An inference structure for use in the fraud assessment domain. Proceedings of 2nd KADS User Meeting. Munich, 17–18 february 1992.Google Scholar