In this paper we present our view on how the current development of knowledge engineering in the context of Semantic Web can contribute to the better applicability, reusability and sharability of adaptive web-based systems. We propose a service-oriented framework for adaptive web-based systems, where the main goal is to help the semantic enrichment of the information search and usage process and to allow for adaptive support of user activites. In other words, our aim is to provide flexible information access, presentation and update to a broad range of users (individual and groups) in a personalized way within the context of pursuing a user's goals and performing tasks. We take an ontological approach to enable a shared understanding of concepts throughout the system and to provide semantic relationships between the information resources and the user's
knowledge of (or interest in) them. We argue that the future of adaptive web-based systems lies in the modularity of the architecture and the openess to interoperate with other applications or compontens. To achieve this we adopt the concept of the UPML framework for semantic web service integration. Our ideas are illustrated in the context of the Token2000 project for Cultural Heritage in Interactive Multimedia Environments (CHIME) and show how combining elaborate AI strategies with the simplicity of hypermedia interaction can result in more easily applicable knowledge-based systems, or in more reasoning enhanced adaptive hypermedia systems.
|Name||Computer Science Reports|