Traditional technology-push approaches fail to overcome user adaptability and user acceptability issues in heterogeneous environments. It becomes crucial to adopt a user-centric approach, both from methodological and technological points of view. In this paper we present a novel approach to provide the user with accessible services in a smart environment. This approach is based on detection of user limitation capabilities ('handicap situations') in a smart assistive environment. It is built upon a formalism based on Description Logic (DL), named Semantic Matching Framework (SMF). The architecture of SMF is designed in such a way that Human-Environment Interaction (HEI) is generated online to identify and compensate for the handicap situation occurring in the course of activities of daily living. It was implemented using semantic web technologies and integrated into a demonstrator, which has been used to validate the concept in laboratory conditions. This paper includes the time response and the scalability analysis of SMF