ALOA: A Web Services Driven Framework for Automatic Learning Object Annotation

  • Mohamed Amine Chatti
  • Nanda Firdausi Muhammad
  • Matthias Jarke
Conference paper

DOI: 10.1007/978-3-540-87605-2_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5192)
Cite this paper as:
Chatti M.A., Muhammad N.F., Jarke M. (2008) ALOA: A Web Services Driven Framework for Automatic Learning Object Annotation. In: Dillenbourg P., Specht M. (eds) Times of Convergence. Technologies Across Learning Contexts. EC-TEL 2008. Lecture Notes in Computer Science, vol 5192. Springer, Berlin, Heidelberg

Abstract

Generating learning object metadata is a complex task to be done manually. An automated approach is therefore required. This work presents the concepts and ideas behind the automatic generation of metadata. We propose a Web Services driven framework for IEEE LOM-compliant automatic learning object annotation called ALOA. The primary focus has been on the flexibility and extensibility of the framework, such that new metadata generation services can easily be plugged into the basic system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Mohamed Amine Chatti
    • 1
  • Nanda Firdausi Muhammad
    • 1
  • Matthias Jarke
    • 1
  1. 1.Informatik 5 (Information Systems)RWTH Aachen UniversityGermany

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