A Latent Semantic Analysis approach to improve semantic Learning Object annotation

In this paper we describe an approach to improve the indexing and searching mechanisms in a learning object repository using semantic web technologies. The proposed solution is based on the Latent Semantic Analysis technique for a semiautomatic annotation of learning objects. The concepts presented in this paper are based on the experience of using a Learning Object Management System called FreeLOms developed within the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective.