Increasing the accessibility of learning objects by automatic tagging

Data sets coming from the educational domain often suffer from sparsity. Hence, they might comprise potentially useful learning objects that are not findable by the users. In order to address this problem, we present a new way to automatically assign tags and classifications to learning objects offered by educational web portals that is solely based on the objects' usage.