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Poster Papers

Track: Semantic Web

Paper Title:
Semantic Personalization of Web Portal Contents


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.

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