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MAIN APPLICATIONS
 
 
 
These applications are ascribed in the realm of our research project "Study of context-based intelligent assistantsystems".

 
OSSMOSE (2009-2010, Cap Digital - DRIRE, FEDER, Union Européenne)

Le projet OSSMOSE vise à construire un portail d’outils pour l’entreprise qui soit gratuit, en logiciel libre et interopérable.
A partir d’un socle portail, eXoPortal, (édité par la société ExoPlatform, porteuse du projet) respectant les normes et standards du marché, la plate-forme OSSMOSE met à disposition de l’entreprise les outils pour gérer ses différents processus et métiers, de pilotage ou de support. Cet outil pourra être configuré directement par l’utilisateur et son utilisation sera gratuite. La plate-forme disposera d’un méta dictionnaire de données de l’entreprise, un référentiel des applications Open Source et un moteur de règles et de contextualisation afin de permettre à l’utilisateur de contextualiser son environnement. Ce configurateur assure un système d’information évolutif en fonction de son activité et intuitif par auto apprentissage du moteur de règles. 
          Pour en savoir plus
---->     One year position proposals:  in English et en français.  



ONCO-MEDIA (2006-2008)

The aim of ONCO-MEDIA project is to deploy a medical image semantic content-based application on a large scale grid test bed, by taking into account the context of the user and of the navigation / query and by matching semantic visual concepts extracted from the medical image with those (textual) extracted from the associated medical reports.

                    SART
The SART application was developed for RATP, the company of the subway in Paris (1996-2002). The goal was to support operators who are responsibles of subway lines in incidental situations. In this application, context plays a central role in the incident solving at different levels. One of the results of this application is the design and development of a software based on a context-based formalism of representation of knowledge and reasoning called contextual graphs.
 
          SEPT
The SEPT application was developed for Electricity of France, the French power company (1989-1995). The initial goal was to develop an expert system to support operators in their diagnosis of equipment in the extra high voltage substations of the power network. Although context was not made explicit in this application, one of the main lessons drawn of the limits of the results was the need to handle an explicit representation of context.