DocumentCode :
531425
Title :
An Efficient Method for Tagging a Query with Category Labels Using Wikipedia towards Enhancing Search Engine Results
Author :
Alemzadeh, Milad ; Karray, Fakhri
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
1
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
192
Lastpage :
195
Abstract :
This paper intends to present a straightforward, extensive, and noise resistant method for efficiently tagging a web query, submitted to a search engine, with proper category labels. These labels are intended to represent the closest categories related to the query which can ultimately be used to enhance the results of any typical search engine by either restricting the results to matching categories or enriching the query itself. The presented method effectively rules out noise words within a query, forms the optimal keyword packs using a density function, and returns a set of category labels which represent the common topics of the given query using Wikipedia category hierarchy.
Keywords :
query processing; search engines; Web query tagging method; Wikipedia category hierarchy; category labels; density function; search engine; Category Labelling; Tagging; Web Query; Wikipedia;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
Type :
conf
DOI :
10.1109/WI-IAT.2010.267
Filename :
5616257
Link To Document :
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