We propose a data-centric three leveled modeling architecture in an effort towards a Model Driven approach of services for the Internet of Things (IoT): a resources level, an artifacts level and a semantic level. In this architecture, the resources level abstracts all important pieces of information describing real objects as resources. The artifacts level allows to collect all objects and contexts information necessary for the execution of a given service. The semantic level introduces semantic notions to the architecture. So, data and actions are named in a standardized naming and the rules facilitate the interaction of the system with the non-expert users. We llustrate our architecture on a small example in which we present all three levels.