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A context-based modeling by Contextual Graphs

Dr. Patrick Brezillon
Friday, February 1, 2008
10:00AM ~ 11:30AM, Harris Center 101

Abstract


The one-hour seminar will be organized in the following way. In the first 30 mn, the conceptual framework will be presented in order to show the "context" of our approach, the type of context by which we are interested in, our definition and consequences. Then, in the second part of the seminar, we will introduce the context-based formalism called Contextual Graphs that has been developed in that conceptual framework. A contextual graph represents a task realization, and the different paths in the graphs represent the different methods that can be used for realizing the task. Several examples will be show, and eventually an example can be built collectively, at least the preliminary step.

Short Bio


Dr Patrick Brezillon defended his Thèse d'Etat (6-year duration) in 1983 on "Mathematical Modeling of Self-Oscillating Nonlinear Systems. Application in Biology to Serotonin and Calcium Metabolisms" at University Paris 6. He belongs now to the Laboratoire d'Informatique de Paris 6 since 15 years. The research of Dr P. Brezillon focuses since 1992 on the notion of context, and he now is acknowledge as one of the main leader in the community interested by context by participating in the organization of the series of international and interdisciplinary conference on context (CONTEXT), giving invited talks, initiating the French Association for Context and beginning to develop a portal of Context (http://contexte.lip6.fr). After the design and development of a coherent conceptual framework for context modeling, his ideas are now formalized in a context-based formalism-called Contextual Graphs-for representing in a uniform way elements of reasoning and of contexts (see at http://cxg.fr). This formalism is used now in more than 20 different domains concerned by reasoning in context. P. Brézillon published about 300 papers alone or with a grand total of 120 co-authors in international conferences and international journals (e.g., IEEE Expert, AI Magazine, The Knowledge Engineering Review, the International Journal on Human-Computer Studies, etc.).

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