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|Title: ||Just in time and relevant knowledge thanks to recommender systems and sementic web|
|Authors: ||Plessers, Ben|
Van Hyfte, Dirk
|Issue Date: ||2010|
|Publisher: ||International Association on Online Engineering|
|Citation: ||Auer, Michael & Schreurs, Jeanne (Ed.) Academic and corporate e-learning in a global context. p. 583-589.|
|Abstract: ||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.|
|Type: ||Proceedings Paper|
|Appears in Collections: ||Research publications|
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