Reengineering the knowledge component of a data warehouse-based expert diagnosis system

  • Authors:
  • Jean-François Beaudoin;Sylvain Delisle;Mathieu Dugré;Josée St-Pierre

  • Affiliations:
  • Département de mathématiques et d'informatique;Département de mathématiques et d'informatique;Département de mathématiques et d'informatique;Département des sciences de la gestion, Institut de recherche sur les PME, Laboratoire de recherche sur la performance des enterprises, Université du Québec à Trois Rivièr ...

  • Venue:
  • DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
  • Year:
  • 2005

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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.