Combining folksonomies and automatic information techniques for LO semantic indexing

  • Authors:
  • Doina Ana Cernea;Esther Del Moral;Emilio Labra

  • Affiliations:
  • Mathematics Department, University of Oviedo, Spain;Education Science, University of Oviedo, Spain;Computer Science Engineering Department, University of Oviedo, Spain

  • Venue:
  • DNCOCO'08 Proceedings of the 7th conference on Data networks, communications, computers
  • Year:
  • 2008

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Abstract

The actual changes produced in the e-Learning field are being driven by two primary facts: the first one is the steady increase of information creation and the second is the new collaborative framework of the Web 2.0. While LO (Learning Objects) repositories are mare and more extensive, the automatic tools for search and location of proper learning content in these repositories, based on semantic tags are not yet effective. This article proposes a system architecture that combines automatic techniques of information retrieval with the user's collaborative annotation of the documents, for the semantic indexing of LO in a repository. Collaborative tagging provides real meaning derived from the learning experiences in real user's communities and improves LO reusability in new learning contexts.