Abstract
This paper outlines a principled methodology, based on KADS, for generating runnable expert system knowledge-bases from the output of high-level knowledge acquisition tools. This methodology is based upon a synthesis of earlier work arising from the UK CONSENSUS, ESPRIT P2576 ACKNOWLEDGE and P5365 VITAL projects. REKAP integrates knowledge elicitation techniques, real-time structured analysis and a model of the the desired run-time architecture within a common framework based upon extensions to the original KADS four-layer model of expertise. The methodology has been realised as a compiler between ProtoKEW, a knowledge acquisition toolkit, structured task-analysis tools and MUSE, a real-time expert system shell. The paper focuses on a particular example of the use of the methodology, in the domain of situation assessment.
A previous version of this paper was presented at the 4th KADS User Meeting held at Sankt Augustin, Bonn, 1994. This work was sponsored by the Flight Systems Division of the Defence Research Agency, Farnborough, as part of contract no. FRN1c/348, and was carried out jointly with Cambridge Consultants Limited.
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Major, N., Cupit, J., Shadbolt, N. (1994). Applying the REKAP methodology to situation assessment. In: Steels, L., Schreiber, G., Van de Velde, W. (eds) A Future for Knowledge Acquisition. EKAW 1994. Lecture Notes in Computer Science, vol 867. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58487-0_18
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DOI: https://doi.org/10.1007/3-540-58487-0_18
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