Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11562
Title: Just in time and relevant knowledge thanks to recommender systems and sementic web
Authors: Plessers, Ben
Van Hyfte, Dirk
SCHREURS, Jeanne 
Issue Date: 2010
Publisher: International Association on Online Engineering
Source: 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.
Document URI: http://hdl.handle.net/1942/11562
ISBN: 978-3-89958-541-4
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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