Adaptive portal framework for Semantic Web applications

In this paper we propose a framework for the creation of adaptive portal solutions for the Semantic Web. It supports different target domains in a single portal instance. We propose a platform environment where the ontology models and adaptivity are among first-class features. Adaptivity is supported by the personalized presentation layer that integrates software tools for automatic user characteristic acquisition. A significant contribution of the design lies in our method for automatic form building from the domain ontology and automated CRUD pattern support by object-ontology mapping. We evaluate the framework in two domains – online labor market and scientific publications.

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