Exploiting the Semantic Web for Interactive Relationship Discovery in Technology Enhanced Learning

This paper presents the concept of Interactive Relationship Discovery (IRD) and illustrates its application potentials in technology enhanced learning. Datasets of the Semantic Web are exploited to support learners in understanding how things are related. The approach is based on a user-oriented process model that has been implemented in an easy-to-use tool. A particular emphasis is on the interactive and subjective aspects of relationship discovery. Evaluation results support the applicability and potential of the approach in learning contexts. Benefits and limitations compared to related work are summarized in a final discussion.