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Domain-driven knowledge modelling: Mediating & intermediate representations for knowledge acquisition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 599))

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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Thomas Wetter Klaus-Dieter Althoff John Boose Brian R. Gaines Marc Linster Franz Schmalhofer

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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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  • DOI: https://doi.org/10.1007/3-540-55546-3_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55546-9

  • Online ISBN: 978-3-540-47203-2

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