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.
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Wax, J., Otjacques, B., Tamisier, T., Parisot, O., Didry, Y., Feltz, F. (2011). Modeling Decisional Knowledge with the Help of Data Quality Information. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2011. Lecture Notes in Computer Science, vol 6874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23734-8_12
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DOI: https://doi.org/10.1007/978-3-642-23734-8_12
Publisher Name: Springer, Berlin, Heidelberg
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