Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Interactive exploration of fuzzy RDF knowledge bases
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
On exploiting static and dynamically mined metadata for exploratory web searching
Knowledge and Information Systems
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Current proposals for preference-based information access [4] seem to ignore that users should be acquainted with the information space and the available choices for describing effectively their preferences. Furthermore, users rarely formulate complex (preference or plain) queries, because it is a laborious and difficult task for them. We will demonstrate a system for interactive exploration of multi-dimensional and hierarchical information spaces, enriched with actions that allow users to dynamically express their preferences, based on the preference framework described in [5]. Specifically, the system supports progressive preference elicitation, inherited preferences with scope-based resolution of conflicts, and preference composition over multi-dimensional and hierarchical information spaces. We argue that such functionality can ease the interaction and speed up the restriction of the focus to those parts of the information space that the user is interested in.