<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Wolf-Tilo Balke</style></author><author><style face="normal" font="default" size="100%">Christoph Lofi</style></author><author><style face="normal" font="default" size="100%">Ulrich Güntzer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">User Interaction Support for Incremental Refinement of Preference-Based Queries</style></title><secondary-title><style face="normal" font="default" size="100%">1st IEEE International Conference on Research Challenges in Information Science (RCIS)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">consistency</style></keyword><keyword><style  face="normal" font="default" size="100%">processing</style></keyword><keyword><style  face="normal" font="default" size="100%">query</style></keyword><keyword><style  face="normal" font="default" size="100%">skyline</style></keyword><keyword><style  face="normal" font="default" size="100%">trade-offs</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2007</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://www.ifis.cs.tu-bs.de/sites/default/files/rcis07-camRed.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Ouarzazate, Morocco</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Preference-based queries (or skylines) play an im-portant role in cooperative query processing. However, their prohibitive result sizes pose a severe challenge to the paradigm?s practical applicability. Since skyline sizes can only be predicted under strong assumptions, we present a sophisticated user inter-face to interactively refine queries in case the respective skyline set proves to be too large. Our approach allows users to incre-mentally augment preferences given by their Hasse diagrams. Moreover, we prove the correctness of the incremented skyline and in our experiments show the approach's superior efficiency</style></abstract></record></records></xml>