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Querying the Semantic Web with Preferences

Start date: 27/03/2006
End date: 02/04/2006
Topic: Querying the Semantic Web with Preferences
Abstract: Ranking is an important concept to avoid empty or overfull and unordered result sets. However, such scoring can only express total orders, which restricts its usefulness when several factors influence result relevance. A more flexible way to express relevance is the notion of preferences. Users state which kind of answers they ’prefer’ by adding soft constraints to their queries. Current approaches in the SemanticWeb offer only limited facilities for specification of scoring/result ordering. There is no common language element to express and formalize ranking and preferences. We present a comprehensive extension of SPARQL which directly supports the expression of preferences. This includes formal syntax and semantics of preference expressions for SPARQL. Additionally, we describe our implementation of preference query processing, based on the ARQ query engine. This exchange led to a joint publication which won the best student paper award at ISWC 2006.
has host: University of Aberdeen
has participant: Wolf Siberski