Abstract
Knowledge modelling, despite the existence of numerous techniques and tools, still remain an ad hoc process which is still more of an art than a science. This is due to the fact that there is as yet no systematic or formal theory for it. Naturally, it is a central goal of the Knowledge Acquisition community to make this process more principled. This paper presents a theoretical framework which is an extension of some of the current thinking about knowledge modelling, with hopefully some clarifications. It draws heavily from the knowledge acquisition literature; its key contribution is a novel combination of known techniques into some (hopefully) coherent framework, rather than a radical new philosophy for knowledge modelling. This framework has been used for several projects we have carried out for industrial partners; it is also the basis of a hybrid tool we intend to develop.
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Aakvik, G., AAmodt, A. & Nordbo, I. (1991), “A Knowledge Representation Framework Supporting Knowledge Modelling”, Proceedings of the 5th European Knowledge Acquisition Workshop (EKAW-91), Crieff, Scotland, May.
Bradshaw, J. M. & Boose, J. H. (1989), “Knowledge Acquisition as CASE for Knowledge Based Systems”, Paper presented at the 3rd International Workshop on Computer-Aided Software Engineering (CASE-89), London, England, July.
Bradshaw, J. M. & Boose, J. H. (1991), “Mediating Representations for Knowledge Acquisiton”, Proceedings of the AAAI-91 Workshop on Knowledge Acquisition: From Theory to Techniques to Tools, Anaheim, California, July.
Bradshaw, J. & Woodward, B (1989), “Knowledge Acquisition Tools” (Panel Discussion Summary of IJCAI-89 Knowledge Acquisition Workshop), In Boose, J. & Gaines, B. (eds), Knowledge Acquisition for KBS Newsletter 1 (3), 12.
Breuker, J. A., Wielinga, B. J., van Someren, M., de Hoog, R., Schreiber, G., de Greef, P., Bredeweg, B., Wielemaker, J., Billeaut, J. P., Davoodi, M. & Hayward, S. (1987), Model-Driven Knowledge Acquisition Interpretation Models, Deliverable Task A1, ESPRIT Project 1098, Commission of the European Community.
Burton, A. M., Shadbolt, N. R., Hedgecock, A. P., & Rugg, G. (1987) “A formal evaluation of elicitation techniques for expert systems: domain 1”, In Moralee, D. S. (ed), Research and Developments in Expert Systems, Cambridge University Press.
Clancey, W. J. (1989), “The Knowledge Level Reinterpreted: Modeling How Systems Interact”, Machine Learning 4,285–291.
Diaper, D. (ed.) (1989), “Designing Expert Systems — from Dan to Beersheba”, In Knowledge Elicitation: Principles, Techniques and Applications, London: Wiley.
Ford, K., Stahl, H., Adams-Webber, J., Novak, J. & Jones, J. C. (1990), “ICONKAT: An integrated constructivist knowledge acquisition tool”, Proceedings of AAAI-90 Workshop on Knowledge Acquisition: Practical Tools and Techniques, Boston, Mass., July.
Ford, K. M. & Canas, A. J. (1991), “Explanation as a Knowledge Acquisition Issue”, Proceedings of the AAAI-9I Workshop on Knowledge Acquisition: from Theory to Technique to Tools, Anaheim, California, July.
Grover, M. D. (1983), “A Pragmatic Knowledge Acquisition Methodology”, Proceedings of IJCAI 8, 436–438.
Johnson, N. E. (1989), “Mediating representations in knowledge elicitation”, In Diaper, D. (ed), Knowledge Elicitation: Principles, Techniques and Applications, Chichester: Ellis Horwood, 179–194.
Keravnou, E. & Johnson, L. (1986), Competent Expert System, London: Kogan Page.
LaFrance, M. (1987), “The Knowledge Acquisition Grid: a method for training knowledge engineers”, International Journal on Man-Machine Studies 26,245–255.
Linster, M. & Gaines, B. (1990), “Supporting Acquisition and Performance in a Hypermedia Environment”, Paper Presented at Terminology and Knowledge Engineering Workshop, Germany.
Morik, K. (1989), “Sloppy Modelling”, In Morik, K. (ed), Knowledge Representation and Organisation in Machine Learning: Lecture Notes in Artificial Intelligence 347, London: Springer Verlag, 107–134.
Morik, K. (1991), “Underlying Assumptions of Knowledge Acquisition and Machine Learning”, Knowledge Acquisition 3, 137–156.
Motta, E., Eisenstadt, M., Pitman, K. & West, M. (1988), “Knowledge acquisition in KEATS: The knowledge engineer's assistant”, Expert Systems 5(2).
Motta, E., Rajan, T. & Eisenstadt, M. (1990), “Knowledge Acquisition as a process of model refinement”, Knowledge Acquisition 2,21–49.
Musen, M. A. (1989), “Conceptual models of interactive knowledge acquisition tools”, Knowledge Acquisition 1, 73–88.
Neale, I. M. (1988), “First generation expert systems: a review of knowledge acquisition methdologies”, The Knowledge Engineering Review 3(2), 105–145.
Nwana, H. S., Paton, R. C., Bench-Capon, T. J. M. & Shave, M. J. R. (1991), “Facilitating the Development of Knowledge Based Systems: A Critical Review of Acquisition Tools and Techniques”, AI Communications 4(2/3), 60–73.
Paton, R. C. & Nwana, H. S. (1990), “Domain Characterisation through Knowledge Analysis”, Proceedings of AAAI-90 Workshop on Knowledge Acquisition: Practical Tools and Techniques, Boston, Mass., July.
Paton, R. C., Nwana, H. S., Shave, M. J. R., Bench-Capon, T. J. M. (1991), “From Real World Problems to Domain Chracterisations”, Proceedings of the 5th European Knowledge Acquisition Workshop (EKAW-91), Crieff, Scotland, May.
Recogzei, S. & Plantinga, E. P. O. (1987), “Creating the domain of discourse: ontology and inventory,” International Journal of Man-Machine Studies 27, 235–251.
Sandberg, J. (1991), Interview with Bill Clancey, AI Communications.
Shaw, M. L. G. (1989), “A Grid-Based Tool for Knowledge Acquisition”, Proceedings of IJCAI-1989 Workshop on Knowledge Acquisition, Detroit, Michigan, 19–22.
Shaw, M. L. G. & Gaines, B. R. (1987), “Techniques for knowledge acquisition and transfer”, International Journal of Man-Machine Studies 27, 251–280.
Steels, L. (1990), “Components of Expertise”, AI Magazine, Summer 1990, 20–49.
Welbank, M. (1990), “An overview of knowledge acquisition methods”, Interacting with Computers 2(1), 83–91.
Wetter, T. (1990), “First Order Logic Foundation of the KADS Conceptual Model”, In Wielinga, B., Boose, J., Gaines, B., Schriber, G. & Van Someren, M. (eds), Current Trends in Knowledge Acquisition, Amsterdam: IOS, 356–375.
Woodward, B. (1990), “Knowledge acquisition at the front end: defining the domain”, Knowledge Acquisition 2, 73–94.
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© 1992 Springer-Verlag Berlin Heidelberg
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Nwana, H.S., Paton, R.C., Shave, M.J.R., Bench-Capon, T.J.M. (1992). Domain-driven knowledge modelling: Mediating & intermediate representations for knowledge acquisition. In: Wetter, T., Althoff, KD., Boose, J., Gaines, B.R., Linster, M., Schmalhofer, F. (eds) Current Developments in Knowledge Acquisition — EKAW '92. EKAW 1992. Lecture Notes in Computer Science, vol 599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55546-3_44
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