Explicit Intelligence in Adaptive Hypermedia : Generic Adaptation Languages for Learning Preferences and Styles

@inproceedings{Stash2005ExplicitII,
  title={Explicit Intelligence in Adaptive Hypermedia : Generic Adaptation Languages for Learning Preferences and Styles},
  author={Natalia Stash and Alexandra I. Cristea},
  year={2005}
}
This paper deals with a new challenge in Adaptive Hypermedia and Web-based systems: finding the perfect adaptation language to express, independently from the domain model (or even platform), the intelligent, adaptive behaviour of personalized Web courseware. The major requirements for the ideal language are: reuse, flexibility, high level semantics, and ease of use. To draw closer to this ideal language, we compare two such language proposals: LAG, a generic adaptation language, and a new XML… CONTINUE READING
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