Context-aware intentional service framework for service adaptation

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.