Learning resources recommendation based on semantic reasoning
XU Shou-ku · Jisuanji gongcheng yu sheji · 2014
To meet the increasing demands of learning resources for users,both ontology and semantic reasoning techniques are introduced to find more resources that have hidden semantic association with user′s preferences based on traditional recommendation.The example shows that the proposed personalized recommendation strategy can diversify the final results and allow the users to have more choices in the learning resources.Meanwhile,the scope of learning is broadened by this method.