In this paper we present our iFanzy demonstrator, which aims at offering users television content in a personalized and context-sensitive way. With iFanzy we integrate different volatile content sources like video-on-demand, broadcast and Web information on-the-fly to disperse it on different clients on different platforms like set-top boxes and Web interfaces. Via semantic Web techniques, TV content and background data from various heterogeneous sources is integrated into a transparent RDF/OWL knowledge graph, which allows the user to navigate and browse the vast content sets nowadays available. Via illustrative examples we explain how the main integrated data set is built and how we exploit it to provide iFanzypsilas main functionality, like semantic search of the available content and execution of context sensitive recommendations.

Web-based systems can exploit Semantic Web-based approaches to link data and thus create applications that make the most out of the combination and integration of different sources and background knowledge. While a lot of attention is paid to the opportunities that this linking of data on the Web provides, the reality of implementing such solutions with currently available semantic technologies createsa serious engineering challenge. In developing such applications in a commercial setting, we have been confronted with requirements and conditions that show the limitations of current technologies for this type of Web applications. Using our experience from iFanzy, we illustrate in this paper the issues and steps in turning the concept of access to semantically integrated content into solutions that use available technology.

Web application design methods traditionally aim to reduce complexity in implementing Web applications. However, these methods struggle with providing the necessary dynamics and flexibility to keep up with the increasing users' demand for personalization and feedback mechanisms. We present Hera-S, based on Sesame and the SeRQL query language that does provide the necessary flexibility. Hera-S allows designers the plain use of the Semantic Web languages RDFS and OWL for designing the domain model and the context data model, thus enabling re-use of existing data models and opening up the RDF instance data to queries and updates via the Sesame RDF-framework.

The evolution of the Web requires to consider an increasing number of context-dependency issues. Therefore, in our research we focus on how to extend a Web application with additional adaptation concerns without having to redesign the entire application. Based on a generic transcoding tool we illustrate here how we can add adaptation functionality to an existing Web application. Furthermore, we consider how an aspect-oriented approach can support the high-level specification of such additional concerns in the design of the Web application.