Using Textual CBR for e-Learning Content Categorization and Retrieval



The importance of e-learning systems is increasing mainly
due to the growing number of companies that need to train their employees.
But companies need to make the process of creating e-learning
contents more efficient, this can be achieved reusing e-learning materials.
This happens especially in big companies with a considerable amount of
contents developed and stored. This paper presents an approach to indexing
and retrieval of e-learning contents based on Textual Case-Based
Reasoning. We describe how we represent contents as cases and how
the indexing and retrieval mechanisms work. We also describe experimental
work that defines a first setup for the reasoning mechanisms



Related Project

PEGECEL- Personalização e Gestão de Conteúdos eLearning


Fourth Workshop on Textual Case-Based Reasoning of the International Conference on Case-Based Reasoning, August 2007

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