Abstract. At present, most hypermedia systems display the same content for all users. To allow users working effectively, we need adaptive personalization. We are developing a general model for adaptive hypermedia that should provide a formal description and allow simple development of such systems. We use an innovative approach of utilizing Semantic Web technologies to enable data reuse and system interoperability. In this work we give the description of the research problem, introduce our General Ontological Model for Adaptive Web Environments (GOMAWE), demonstrate experiments used for evaluations and indicate the steps leading to completion of the work.

om ja ia ca 3 e Se an b rm o truc s for essence of Java programming language. It uses principles of learning style identification and content recom-mendation for course personalization. This paper presents new approach to perform effective personaliza-o be a p e-learn s a rep ain, is different systems use different concepts and terms for describing domains. These differences make it difficult to take knowledge out of one system and use it smoothly in another. If we could develop ontologies thatmight be used as the basis formultiple systems, they would share a common terminology that would facilitate sharing topic A is a prerequisite of topic B to make the right suggestions to the learner). Thus, ontologies require a rule system to derive/use further information that cannot be captured by them, and rule sys-tems require ontologies in order to have a shared definition of the concepts and relations mentioned in the rules. Rules also allow adding expressiveness to the representation formalism, reasoning on the instances, and they can be orthogonal to the description lo-gic on which ontologies are based on (Henze, Dolog, & Hejdl, 2004).