Abstract
There are two knowledge engineering traditions, rapid prototyping and conceptual modelling which can further be distinguished into universal and shell-based approaches. Underlying the two traditions are two different hypotheses explaining the knowledge acquisition bottleneck. Model-based approaches try to tackle it by searching for a set of basic, generic problem solving methods that can be combined and instantiated for various applications. KADS is introduced as a universal conceptual modelling approach and it is compared with three prominent shell-based ones. Summarizing, knowledge engineering will be compared to software engineering which will suggest to view knowledge acquisition as a workbench of methods and techniques that are special to the former.
The paper will close with the insights I gained on the workshop about the relevance of knowledge engineering for data base engineering, and vice versa.
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References
Breuker, J.; Wielinga, B.: Models of Expertise in Knowledge Acquisition. In: Guida, G., Tasso, C. (eds.): Topics in Expert System Design, Amsterdam: North-Holland, 1989, pp. 265–295.
Chandrasekaran, B.: Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design. IEEE Expert, Fall 1986.
Chandrasekaran, B.: Generic Tasks as building blocks for knowledge based systems: the diagnosis and rouline design examples. The Knowledge Engineering Review, October 1988, pp. 183–210.
Clancey, W.: Heuristic Classification. Artificial Intelligence 27(1985), pp. 289–350.
Cunis, R.; Guenter, A.; Syska, I.: PLAKON: Ein Uebergreifendes Konzept zur Wissensrepraesentation und Problemloesung bei Planungs-und Konfigurationsaufgaben. In: Proceedings Expertensysteme 87 (Bericht des German Chapter of the ACM 28), Stuttgart: Teubner Verlag, 1987.
Hayes-Roth, F.; Waterman, D.; Lenat, D.: Building Expert Systems. London: Addison Wesley Publishing Company, 1983.
Johnson, N.E.: Mediating representations in knowledge elicitation. In: Knolwedge Elicitation: Principles, Techniques and Applications (ed. D. Diaper), Ellis Horwood Ltd. Publishers, Chichester, 1988, pp.177–194.
Karbach, W.; Tong, X.; Voss, A.: Fillig in the knowledge acquisition gap: via KADSmodels of expertise to ZDEST-2'expert systems. In: Proceedings of EKAW88 (eds. Boose, Garnes, Linster), GMD-Studie, St. Augustin, 1988, pp. 31–1–31–17.
Karbach, W.; Linster, M.; Voss, A.: OFFICE-Plan: Tackling the Synthesis Frontier. In: Proceedings of GWA189, Berlin: Springer Verlag, 1989, pp. 379–387.
Karbach, W.; Linster, M.: Wissensakquisition fuer Expertensysteme — Techniken, Modelle, Softwarewerkzeugc—. Muenchen: Hanser-Verlag, 1990.
Karbach, W.; Linster, M.; Voss, A.: Model-based Approaches — One Label one Idea?. European Workshop on Knowledge Acquisition 1990, Amsterdam.
Lenat, D.; Guha, R.V.: The world according to CYC. MCC technical report no ACAAI-300-88.
Marcus, S. (ed.): Automaling Knowledge Acquisition for Expert Systems. Boston: Kluwer Academic Publishers, 1988, pp. 81–123.
Mattos, N.: An approach to DBS-based knowledge management. In: This volume.
McDermott, J.: Preliminary Steps Towards a Taxonomy of Problem-Solving Methods. In: Marcus, S. (ed.): Automating Knowledge Acquisition for Expert Systems, Boston: Kluwer Academic Publishers, 1988, pp. 225–255.
Musen, M. A.: Building and extending models. In: Machine Learning, Vol.4, 1989, pp. 347–375.
Nebel, B.: Wisscnsrepraesentation: Problemc und Loesungsansaetze. In: this volume
Puppe, F.: Assoziatives diagnostisches Problemloesen mit dem Expertensystem-Shell MED-2. Dissertation, Universitaet Kaiserslautern, 1986.
Puppe, F.: Problemloesungsstrategicn in Expertensystemen. Univ. Karlsruhe, 1990.
Bartsch-Spoerl, B.; Reinders, M.: A tentative framework for knowledge level reflection. deliverable of task I.3, to appear.
Schreiber, G.; Bredeweg, B.; Davoodi, M.; Wielinga, B.: KADS: B2-Design. Esprit Project P1098, VF Memo 97, November 1987.
Tank, W.: Ueber das Selbstverslaendnis der Disziplin des Knowledge Engineering. Kl-2-90, Oldenbourg Verlag, Mnchen, Juni 1990.
Thoma, H.: ?????. In: This volume
Ueberreiter, B.: Modelbasierte Wissensakquisition — Anforderungen aus der industricllen Praxis. In: Tagungsband des zweiten Workshops der GI-Fachgruppe Knowledge Engineering, Daimler-Benz Arbeitsberichte, Berlin April 1990 (to appear).
Voss, A.; Karbach, W.; Drouven, U.; Lorek, D.; Schukey, R.: Operationalization of a synthetic problem. deliverable of task I.2.1, REFLECT-report RFL/GMD/I.2.1, GMD St. Augustin, April 1990.
Wielinga, B.; Breuker, J.: Models of expertise. Proceedings of ECAI86, Brighton, 1986.
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Voß, A. (1991). Model-based knowledge acquisition. In: Karagiannis, D. (eds) Information Systems and Artificial Intelligence: Integration Aspects. IS/KI 1990. Lecture Notes in Computer Science, vol 474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-53557-8_30
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DOI: https://doi.org/10.1007/3-540-53557-8_30
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