A Semantic Framework for Adaptive web-based Systems

This paper proposes a semantic framework built on multidimensional ontological matrices 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 intersection between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL to represent taxonomic knowledge and SWRL for rules. The framework presents a new approach to build adaptive web-based systems that support interoperability.