Personalized Faceted Navigation in Semantically Enriched Information Spaces

Existing information retrieval systems provide users with limited support for efficient navigation in large semantically enriched information spaces. Several possible solutions were proposed, such as using faceted metadata search or semantic clusters of search results. We explore the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for (semantic) information retrieval. Furthermore, we propose the extension of faceted browsers with support for dynamic facet generation based on an automatically acquired user model, and evaluate the proposed ideas in multiple domains – scientific publications, digital images and job offers.