Implicit evaluation of user's expertise in scientific domains

In this article, we propose a system able to implicitly assess a user’s expertise in a particular topic based on her publications (e.g., scientific papers) on it and available through online bibliographic databases. This task is performed through two different approaches, both of them based on a graph-based model. The first approach (content-based) considers the text content, the second one (collaborative) analyzes the relationships in the same content in terms of co-citations. Preliminary experimental results are encouraging and raise several interesting considerations. In particular, they show that the best solution is obtained by integrating the two approaches above, in which each of them allows the system to overcome the limitations of the other one.