Modeling decisional knowledge with the help of data quality information

Authors:
Jérôme Wax;Benoît Otjacques;Thomas Tamisier;Olivier Parisot;Yoann Didry;Fernand Feltz
Affiliations:
Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg;Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg;Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg;Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg;Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg;Centre de Rercherche Public, Gabriel Lippmann, Belvaux, Luxembourg
Venue:
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Year:
2011

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Abstract

The success of the deployment of decision support systems heavily relies on the design of knowledge bases. In particular, assessing the quality of instanced data helps ensure an appropriate use of the knowledge. We present a collaborative editor for procedural knowledge that manages specific information about the quality of the data called into the procedures. Experimentations by a panel of users notably show that information being correctly interpreted and necessary to draw optimal procedures.