Modeling and using context for system development: Lessons from experiences
Résumé
Over ten years a community on context has emerged. There is now series of conference on context, a web site and a mailing list. The number of web pages containing the word “context” has been multiplied by four in the last five years (more than two millions up to now). Being among the main instigators of the use of context in artificial intelligence and in decision support system, we present in this paper the evolution of our thoughts over the last ten years and the results obtained about context representation. This experience leads us to introduce the notion of contextual graphs which are used in an application called SART. Moreover, this paper sums up and gives some comments on the papers we published during these last years.