Toward a Recommendation System for Inter and Intra-Organizational Knowledge Sharing

This paper discusses the problem of knowledge sharing within organisations. We are interested, notably, in medical knowledge sharing within the Association of Protection of Motors Disabled of Sfax-Tunisia (APMDS). This association is characterized by a large number of stakeholders with various profiles and different natures (internal or external, permanents or trainers, volunteers or salaried...), which leads to problems in knowledge transmission between them. However, in the medical field, it is very interesting to exchange ideas and knowledge to enrich the individual and the collective background and, so, to improve the quality of healthcare process. Thus, to help this association enhance the transfer of its knowledge, we develop a theoretical method that consists of a recommendation system relying on the rough sets theory and aiming at improving knowledge sharing within and between organizations. Our approach combines the rough sets theory and filtering techniques such as the collaborative filtering and the knowledge-based filtering. This method should develop both the transmission and the appropriation processes of tacit and explicit knowledge. To do so, we define a set of attributes by which shared knowledge has to be evaluated by their users. The recommendation depends on knowledge location and stakeholders' nature. Our goal is to make the knowledge the user needs, available to him, according to his profile.