SOAF: Semantic Indexing System Based on Collaborative Tagging
Doina Cernea, Esther Del Moral, Jose Gayo, University of Oviedo, Spain
IJELLO Volume 4, Number 1, ISSN 1552-2237 Publisher: Informing Science Institute
The creation of Learning Objects and learning assets for e-Learning, as well as the development of more and more extensive repositories, is actually a generalized practice in all educational organizations. However, automatic tools for searching and locating learning content in these repositories based on semantic tags are not yet effective. This article proposes a system architecture called SOAF for the semantic indexing of Learning Objects from a repository. It combines automatic techniques of information retrieval with collaborative tagging of documents made by users. In this way, the metadata of the Learning Objects provides real meaning derived from the learning practice in user communities able to share their experiences through specific annotation of the learning content, which will identify each Learning Object and will improve its reusability in new learning contexts.
Cernea, D., Del Moral, E. & Gayo, J. (2008). SOAF: Semantic Indexing System Based on Collaborative Tagging. Interdisciplinary Journal of E-Learning and Learning Objects, 4(1), 137-149. Informing Science Institute.
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