This paper proposes a model for the design of adaptive systems. The core of the model is based on three matrices whose different planes contain the ontological represen-tation of different types of knowledge. On these planes we represent user features, her actions, context, device, content domain, adaptation goals and methods. The join between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL (Ontology Web Language) to represent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The framework presents a new approach to build adaptive hypermedia systems that support interoperability.
MUSE: A Multidimensional Semantic Environment for Adaptive Hypermedia Systems
TORRE, ILARIA
2005-01-01
Abstract
This paper proposes a model for the design of adaptive systems. The core of the model is based on three matrices whose different planes contain the ontological represen-tation of different types of knowledge. On these planes we represent user features, her actions, context, device, content domain, adaptation goals and methods. The join between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL (Ontology Web Language) to represent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The framework presents a new approach to build adaptive hypermedia systems that support interoperability.
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