Machine learning and knowledge representation in the LaboUr approach to user modeling
UM '99 Proceedings of the seventh international conference on User modeling
User Modeling and User-Adapted Interaction
Investigating the specifics of contextual elements management: the CEManTIKA approach
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Context in the Collaborative Building of an Answer to a Question
Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges
International Journal of Knowledge Engineering and Data Mining
Framing decision making at two levels
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
CSCoupons: applying context-sensitivity to increase fast food advertising usefulness
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Contextual Graphs are a context-based formalism used in various real-world applications. They allow a uniform representation of elements of reasoning and of contexts for describing different human tasks such as diagnosis and interpretation. The representation of reasoning by Contextual Graphs supposes an efficient representation of the knowledge associated with a reasoning. Extending the previous view of (1) context relative to a focus, and (2) context as composed of external knowledge and contextual knowledge, in this paper we go a step further by proposing a description of the focus in terms of the instantiation of the contextual elements, which are drawn from domain knowledge. We present the results of this study in a real-world application that we are working on currently, namely the self-evaluation of drivers' behaviors in a situation presented within a large spectrum of contexts.