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Investigating the demand side of semantic search through query log analysis
Abstract In this paper, we propose a method to creaIn 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.ructured data representation of Wikipedia.
Abstractsub In this paper, we propose a method to creaIn 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.ructured data representation of Wikipedia.
Bibtextype inproceedings  +
Has author Edgar Meij + , Peter Mika + , Hugo Zaragoza +
Has extra keyword Demand-side + , Qualitative evaluations + , Query log analysis + , Semantic search + , Structured data + , Web searches + , Web users + , Wikipedia + , Websites + , Query processing +
Issn 16130073  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 2–5  +
Published in CEUR Workshop Proceedings +
Title Investigating the demand side of semantic search through query log analysis +
Type conference paper  +
Volume 491  +
Year 2009 +
Creation dateThis property is a special property in this wiki. 7 November 2014 19:35:52  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 19:35:52  +
DateThis property is a special property in this wiki. 2009  +
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