Semantic Matching Framework for Personalizing ubiquitous Environment dedicated to people with special needs

User adaptability and acceptability in heterogeneous environments are very important issues, mainly for people with disabilities. Traditional technology-push approaches fail in overcoming the needs. It becomes crucial to adopt a user-centric approach, both from methodological and technological points of views. In this paper we present a semantic matching framework for personalized service delivery in assistive environments. This framework is based on matching two models: (1) environment model, describing environment factors and (2) user model, describing the human factors. The Framework was implemented using semantic web technologies and integrated into a demonstrator, which has been used to validate the concept in laboratory conditions. Our contribution is three folded: first, the formalization of the user model and the environment model, second, the matching between these two models combining the human factors and the environmental factors, and third the description of these models and their association with ontology based languages.