Investigating the demand side of semantic search through query log analysis
Edgar Meij, Peter Mika, Hugo Zaragoza · UvA-DARE (University of Amsterdam) · 2009
In this paper, we propose a method to create aggregated representations of the information needs of Web users when searching for particular types of objects. We suggest this method as a way to investigate the gap between what Web search users are expecting to find and the kind of information that is provided by Semantic Web datasets formatted according to a particular ontology. We evaluate our method qualitatively by measuring its power as a query completion mechanism. Last, we perform a qualitative evaluation comparing the information Web users search for with the information available in Dbpedia, the structured data representation of Wikipedia. 1.