Ontology-based Video Annotation and Recommendation in a Semantic Education Framework

In this paper we propose ontology-based educational video annotation and recommendation tools. Our system is able to perform automatic shot detection and supports users during the annotation phase in a collaborative framework by providing suggestions on the basis of actual user needs as well as modifiable user behaviour and interests. Annotations are based on domain ontologies expressing hierarchical links between entities and guarantying interoperability of resources. Examples to verify the effectiveness of both the shot detection and the frame matching modules are analyzed