Investigating the Demand Side of Semantic Search through Query Log Analysis

author: Edgar Meij, Intelligent Systems Lab Amsterdam, University of Amsterdam
author: Peter Mika, Yahoo! Research
author: Hugo Zaragoza, Yahoo! Research
published: May 27, 2009,   recorded: April 2009,   views: 2982

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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 ¯nd 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.

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