Abstract
This paper describes the implementation of the INFOSHOP, a unique collaboration between UK central and local government agencies to develop a decision support tool. INFOSHOP helps non-technical front-line reception staff handle complex enquiries on a wide range of government regulations. The paper describes the knowledge engineering and the knowledge level modeling undertaken for the project. The paper describes the design, implementation and architecture of the resulting distributed system that supports local customisation of the knowledge-base in a controlled managed process. The paper concludes by showing that INFOSHOP can be considered a CBR system that uses derivational replay to solve problems rather than the more common retrieval of problemsolution pairs.
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Watson, I. (2001). INFOSHOP: A Decision Support Tool for Local Government Regulatory Advice. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_12
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DOI: https://doi.org/10.1007/3-540-45408-X_12
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