Ontology Enrichment with Social Tags for eLearning

One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only few users. This is the expected situation in a learning community. An additional goal is to assess whether the related tags extracted can be a useful source for enriching an existing domain ontology. A user centered evaluation has been carried out to analyze the effect of the enriched ontology in supporting a learning task in comparison with clusters of related tags. The experiment has been carried out both with beginners and advanced learners.

• Type: Journal
• Year: 2009
• Where: ECTEL
• Authors: Paola Monachesi, Thomas Markus, Eelco Mossel
• Keywords: ECTEL 2009, Machine Learning, Meaningful Related Tags, Related Tags, User Centered Evaluation