Social Validation of Learning Objects in Online Communities of Practice Using Semantic and Machine Learning Techniques

  • Lamia Berkani
  • Lydia Nahla Driff
  • Ahmed Guessoum
Part of the Studies in Computational Intelligence book series (SCI, volume 488)


The present paper introduces an original approach for the validation of learning objects (LOs) within an online Community of Practice (CoP). A social validation has been proposed based on two features: (1) the members’ assessments, which we have formalized semantically, and (2) an expertise-based learning approach, applying a machine learning technique. As a first step, we have chosen Neural Networks because of their efficiency in complex problem solving. An experimental study of the developed prototype has been conducted and preliminary tests and experimentations show that the results are significant.


online communities of practice learning object user profile social validation ontologies machine learning technique 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Lamia Berkani
    • 1
  • Lydia Nahla Driff
    • 1
  • Ahmed Guessoum
    • 2
  1. 1.Department of Computer ScienceUSTHB UniversityAlgiersAlgeria
  2. 2.Artificial Intelligence Laboratory (LRIA), Department of Computer ScienceUSTHBAlgiersAlgeria

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