Social tagging activities allow users to add free annotations on resources to express user interests, preferences and automatically generate folksonomies. This paper demonstrates how structured content available through DBpedia can be leveraged to support recommendation of resources in folksonomies. A limitation of resources' recommendation is the content overspecialization conducting in the incapability to recommend relevant resources different from the ones that the learner already knows. To

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... ddress this issue, we proposed to take advantage of the richness of the open and linked data graph of DBpedia and association rules to learn learners' behavior. The proposed approach demonstrates the efficiency of using DBpedia to enhance diversity and novelty when recommending resources to users in folksonomies. The basic idea is to iteratively explore the RDF data graph to produce novel and diverse relevant recommendations.