Just in time and relevant knowledge thanks to recommender systems and sementic web
Plessers, Ben, Dirk Van Hyfte, Jeanne Schreurs · Document Server@UHasselt (UHasselt) · 2010
Recommender systems are software sytems that supply users with information in order to help them make decisions, without users have to search for it themselves. A recommender system in an e-learning context is a software agent that tries to "intelligently" recommend actions to a learner based on the actions of previous learners. These recommendations could be on-line activities such as doing an exercise, reading posted messages on a conferencing sytem, or running an on-line simulation, or could be simply a web resource. This paper will make a description for a recommender system that will make use of the Semantic Web and Linked Data. The proposed recommender system will have a Text Mining Module and a Recommender Moduleto make relevant, just in time suggestions to the user.