Systemic Metaphor Analysis for Knowledge Based System Development
One of the key phases in the development of a Knowledge Based System (KBS) is that of knowledge acquisition. All KBSs must go through this stage and it presents a major hurdle to be overcome when building such systems. The focus of attention at this stage of a KBS development is the domain which, in simple terms, is that knowledge needed to solve a set of real world problems. Research on the MEKAS project has indicated that knowledge about a domain not only includes the tasks and objects which it addresses, but also the wider cognitive and real world environment in which it is set (Paton & Nwana, 1990). As such, human knowledge about domains is so complex that without an analysis stage that probes the underlying nature of a real world domain and how experts may conceptualise it, the knowledge that is eventually incorporated into a KBS remains shallow and incomplete. Just as conventional systems development requires a systems analysis phase to analyse the problem situation, so KBS development requires a knowledge analysis phase which characterises the domain by organising the information acquired from a variety of knowledge sources into a coherent and unambiguous whole.
KeywordsEurope Prefix Parkin Metaphor
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- Harré, R. (1970), The Principles of Scientific Thinking, London: Macmillan.Google Scholar
- Nwana, H.S., Paton, R.C., Shave, M.J.R & Bench-Capon, T.J.M. (1990), “The Relevance of Domain Characterisation to Knowledge Acquisition for Second Generation Expert Systems”, MEKAS Report 17, Department of Computer Science, University of Liverpool, December 19. Submitted for publication.Google Scholar
- 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.Google Scholar
- Paton, R.C, Nwana, H.S., Shave, M.J.R. & Bench-Capon, T.J.M. (1990a), “Foundations of a Structured Approach to Domain Characterisation”, MEKAS Report Number 13, Department of Computer Science, The University of Liverpool, November 24. Submitted for publication. This is an extended version of a paper presented at the Eighth Workshop of the European Society for the Study of Cognitive Systems (ESSCS), Oxford. September, 1990.Google Scholar
- Salmond, A. (1982), “Theoretical Landscapes”, in Parkin, D.(ed), Semantic Anthropology, London: Academic Press.Google Scholar