MUSE: A Multidimensional Semantic Environment for Adaptive HypermediaSystems

Abstract

This paper proposes a semantic framework built on multidimensional ontological planes for the design of adaptive systems. The core of the framework is composed by three matrices whose different planes contain the ontological representation 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 rep- resent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The frame- work presents a new approach to build adaptive hypermedia systems that support interoperability.