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Reengineering the Knowledge Component of a Data Warehouse-based Expert Diagnosis System

Author

Listed:
  • Jean-François Beaudoin

    (INRPME - Institut de recherche sur les PME - UQTR - Université du Québec à Trois-Rivières)

  • Sylvain Delisle

    (INRPME - Institut de recherche sur les PME - UQTR - Université du Québec à Trois-Rivières)

  • Mathieu Dugré

    (INRPME - Institut de recherche sur les PME - UQTR - Université du Québec à Trois-Rivières)

  • Josée St-Pierre

    (INRPME - Institut de recherche sur les PME - UQTR - Université du Québec à Trois-Rivières)

Abstract

We describe the weaknesses of an existing expert diagnosis-recommendation 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 formalization 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.

Suggested Citation

  • Jean-François Beaudoin & Sylvain Delisle & Mathieu Dugré & Josée St-Pierre, 2005. "Reengineering the Knowledge Component of a Data Warehouse-based Expert Diagnosis System," Post-Print hal-01704902, HAL.
    • Handle: RePEc:hal:journl:hal-01704902
    Note: View the original document on HAL open archive server: https://hal.science/hal-01704902
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    References listed on IDEAS

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    1. Sylvain Delisle & Josée St-Pierre, 2004. "Expertise in a Hybrid Diagnostic-Recommendation System for SMEs: A Successful Real-Life Application," Post-Print hal-01704927, HAL.
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