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Reseach Article

Web knowledge and Wordnet based Automatic Web Query Classification

by S. Lovelyn Rose, K. R. Chandran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 7
Year of Publication: 2011
Authors: S. Lovelyn Rose, K. R. Chandran
10.5120/2232-2849

S. Lovelyn Rose, K. R. Chandran . Web knowledge and Wordnet based Automatic Web Query Classification. International Journal of Computer Applications. 17, 7 ( March 2011), 23-28. DOI=10.5120/2232-2849

@article{ 10.5120/2232-2849,
author = { S. Lovelyn Rose, K. R. Chandran },
title = { Web knowledge and Wordnet based Automatic Web Query Classification },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 7 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number7/2232-2849/ },
doi = { 10.5120/2232-2849 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:58.381040+05:30
%A S. Lovelyn Rose
%A K. R. Chandran
%T Web knowledge and Wordnet based Automatic Web Query Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 7
%P 23-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web search queries are the starting point to access the contents in the WWW for most of the users. Capturing the user intent behind a query statement is crucial for any search engine and is equivalent to figuring out the category to which the query belongs to. In this paper, we analyze a classification system that uses web directory search results as an extended feature of the query. A comparison with glossary based mapping showed that our work outperforms it by a reasonable margin. We also show by experimentation that choosing the right parameter for the search results gives a reasonable improvement in ranking.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Query Classification Intermediate categories Wordnet