Automatic Generation of Metadata for Learning Objects

Proper reuse of learning objects depends both on the amount and quality of attached semantic metadata such as “learning objective”', “related concept”, etc. Manually expressing such metadata is a time consuming and expensive task.. Here we present an approach based on a probabilistic model, which through the automatic classification of learning resources on a given taxonomic organization of the knowledge, allows to associate ontological metadata to the learning resources.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Paramjeet Singh Saini, Marco Ronchetti, Diego Sona
• Keywords: ICALT 2006, Learning Resources, Machine Learning, Metadata, Semantic Metadata