This application demonstrates how to provide personalized, syndicated views on distributed web data using Semantic Web technologies. The application comprises four steps: The
information gathering step
, in which information from distributed, heterogenous sources is extracted and enriched with machine-readable semantics, the
for timely and up-to-date extractions, the
in which rules reason about the created semantic descriptions and additional knowledge-bases like ontologies and user profile information, and the
user interface creation step
in which the RDF-descriptions resulting from the reasoning step are interpreted and translated into an appropriate, personalized user interface. We have developed this application for solving the following real-world problem: We provide personalized, syndicated views on the publications of a large European research project with more than twenty geographically distributed partners and embed this information with contextual information on the project, its working groups, information about the authors, related publications, etc.