Adaptive digital resource modelling for interactive system

The design of the digital resource is an expensive process that consumes time and money. By optimizing an adaptive process would reduce time for the designers and users. The increase in the production of digital data in these last few years has raised several issues regarding the management of heterogeneous and multiple source data in the user's environment. In this paper, we focus on adaptive digital resource modelling to assist users in the consolidated management of digital resources in an interactive and adaptive system. In this paper we propose an approach of digital resources modelling which will make the use of digital resources more adaptive. We introduce an adaptive resource model which includes LOM (Learning Object Metadata) metadata, manipulation rules and operators. This model allows an automatic adaptation to user's profiles and user's contexts. An experimental implementation called PRISE (Personal Interactive research Smart Environment) is carried out in our laboratory. PRISE is an interactive and adaptive system to assist researchers in using and managing their digital resources efficiently. PRISE architecture is based on three essential parts of the system : the user model, the process model and the resource model. Our aim is to maintain a consistency in terms of interaction between the users and the digital resources.