Abstract
We describe the weaknesses of an existing expert diagnosis-recom mendation system we have developed for SMEs. In good part, these weaknesses are related to the fact that the system was not implemented with appropriate artificial intelligence techniques. We recently decided to tackle the problem and re-engineered the core of the system with the help of an up-to-date expert system shell. In the process, we revised the formaliza tion and reorganization of the system’s expertise and developed a brand new knowledge base. We here describe the new system and the improvements made, and we identify ongoing and future developments.
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Beaudoin, JF., Delisle, S., Dugré, M., St-Pierre, J. (2005). Reengineering the Knowledge Component of a Data Warehouse-Based Expert Diagnosis System. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_89
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DOI: https://doi.org/10.1007/11546924_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28566-3
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