Leveraging Adaptive Web with Adaptation Patterns

Nadjet Zemirline 1, 2 Yolaine Bourda 2 Chantal Reynaud 3, 1
1 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : In this paper, we propose a pattern-based approach to express adaptation strategies in a semi-automatic and simple way. This allows the creator of an adaptive system to define elementary adaptations by using and instantiating adaptation patterns. These elementary adaptations can then be combined, allowing to specify adaptation strategies in an easy and flexible manner. We distinguish adaptive navigation according to two main criteria: the selection operations performed in order to obtain resources being proposed to the user and the elements of the domain model involved in the selection process. We present a taxonomy of elementary adaptive navigation techniques. Our approach has been validated using the GLAM adaptation engine. We showed that the GLAM rules can be automatically generated from patternbased adaptations.
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Nadjet Zemirline, Yolaine Bourda, Chantal Reynaud. Leveraging Adaptive Web with Adaptation Patterns. [Research Report] Supelec. 2009. ⟨hal-00628723⟩

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