Semantic enrichment of SCORM metadata for efficient management of educative contents

AbstractThe socialization of the Internet and its extensive usage in Education has facilitated the availability of a lot of educative contents in the Web. However, this has also made the reuse and retrieval of such content more difficult. To solve this problem, standards for representing educative contents, such as SCORM, have been developed and educative technologies such as learning objects became crucial for reuse and retrieval purposes. In this work we propose the combination of e-Learning and Semantic Web standards to provide semantic metadata, to make educative content processable not only by humans but also by machines, so that the retrieval of educative content becomes more powerful. We have extended SCORM by adding semantic annotations of the textual fields with respect to ontologies modeling the course contents. We also describe a Semantic Web application capable of importing SCORM courses, and supporting their semantic annotation and the semantic retrieval of contents