Using Textual CBR for e-Learning Content Categorization and Retrieval
AbstractThe 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