On semantic evaluation of preference queries

Preference queries are becoming more and more ubiquitous and increasingly useful. They have gained great popularity and attracted a lot of researchers' attention because of great demands in handling of user preference, ranking of user priority, filtering out a set of most interesting and preferred data points in various today's database and world-wide-web information systems. This paper will address some technique and heuristics to improve the processing of preference queries. The technique will explore equivalent relationship among a set of attributes in a preference formula and utilize this kind of semantic information to evaluate preference queries better.