Using Information Extraction for Knowledge Entering

  • F. Vichot
  • F. Wolinski
  • H. C. Ferri
  • D. Urbani
Part of the International Series on Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 21)


During the past decades, the field of applied Artificial Intelligence has experienced important growth. Numerous Decision Support Systems (DSS) have been created in order to improve experts’ efficiency at work. DSS appeared to be particularly useful where a lot of data were needed in order to take the right decision. However, gathering all the data, often for economic reasons, is not always possible. In fact, the data may not be available in the right form. In that case, the high cost and the highly repetitive task of manually “feeding” a DSS have often been the bottleneck of a promising system.


Decision Support System Natural Language Processing Information Extraction Credit Rating Parent Company 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • F. Vichot
    • 1
  • F. Wolinski
    • 1
  • H. C. Ferri
    • 1
  • D. Urbani
    • 1
  1. 1.Informatique-CDC / DTAArcueilFrance

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