Poster Title:

Semantic Personalization of Web Portal Contents

Authors:

• Christina Tziviskou (Politecnico di Milano)
• Marco Brambilla (Politecnico di Milano)

Abstract:

Enriching Web applications with personalized data is of major interest for facilitating the user access to the published contents, and therefore, for guaranteeing successful user navigation. We propose a conceptual model for extracting personalized recommendations based on user profiling, ontological domain models, and semantic reasoning. The approach offers a high-level representation of the designed application based on a domain-specific metamodel for Web applications called WebML.