Abstract :
Intentional-based approaches aim at fulfilling user´s requirements in order to facilitate his interaction with information systems. Those approaches take into account the user´s goals and try to select the appropriate service based on it. However, nowadays, users are constantly moving and the context in which they interact with an information system changes from a situation to another. By consequence, user´s intentions may vary according to his current context. Actually, the user´s context can influence the service selection process, a service being more appropriate in a given situation then another one. Therefore, with the growth of the new technologies, we need to build reactive and proactive systems that take into account user´s goals in ubiquitous environment. In order to provide dynamic adaptation of intentional services on ubiquitous environments, we propose in this paper, a context-aware intentional framework for a personalized service adaptation. In this framework, we propose to keep a trace of the user´s context and past intentions in order to support a proactive selection of services. This is done through a set of interconnected models, namely context model and user´s behavior schema, which are explored by a rule-based system allowing the dynamic selection of services.
