Applying and Reusing Knowledge in a Repository

Abstract

Using automatic extraction of keywords and semi-automatic creation of domain ontologies it is possible to achieve a richer description of learning resources, with positive effects on subsequent searches. Based on this concept, we developed a repository named TREE - Teaching Resources for Engineering Education, to efficiently store and provide access to learning and scientific resources and as a service to preserve and disseminate intellectual property in the Engineering community. The TREE repository is based on open source tools and free Web services. In this paper we describe the TREE repository and how it uses Semantic Web technologies to improve search and retrieval of learning objects.