On expert system for the revision of an experimental sciences researcher´s knowledge

In the frame of this article, we propose a learning environment which may allow an experimental sciences researcher to revise his knowledge of the domain. To reach this goal, we propose an architecture and an expert system dedicated to the domain of biology. First, we develop the different modules used: calculation tools (which handle the datas), the notion of inference (which modifies the knowledge of the researcher), and the databases of the field (which contain additional informations). In a second step, we validate our world by presenting an example in immunogenetics. We end this article with the detail of the architecture of the application SIGALE (System-IG Alignment Learning Environment)