Investigating the demand side of semantic search through query log analysis
|Investigating the demand side of semantic search through query log analysis|
|Author(s)||Meij E., Mika P., Zaragoza H.|
|Published in||CEUR Workshop Proceedings|
|Keyword(s)||Unknown (Extra: Demand-side, Qualitative evaluations, Query log analysis, Semantic search, Structured data, Web searches, Web users, Wikipedia, Websites, Query processing)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
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.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.