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Systemic Metaphor Analysis for Knowledge Based System Development

  • R. C. Paton
  • H. S. Nwana
  • M. J. Shave
  • T. J. Bench-Capon

Abstract

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.

Keywords

Knowledge Acquisition Knowledge Source Underlying Nature Knowledge Analysis Knowledge Base System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Harré, R. (1970), The Principles of Scientific Thinking, London: Macmillan.Google Scholar
  2. 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
  3. 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
  4. 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
  5. Salmond, A. (1982), “Theoretical Landscapes”, in Parkin, D.(ed), Semantic Anthropology, London: Academic Press.Google Scholar

Copyright information

© Springer Science+Business Media New York 1991

Authors and Affiliations

  • R. C. Paton
    • 1
  • H. S. Nwana
    • 1
  • M. J. Shave
    • 1
  • T. J. Bench-Capon
    • 1
  1. 1.The MEKAS Project Department of Computer ScienceThe University of LiverpoolLiverpoolUK

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