Research Article
Web Information Retrieval using WordNet
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 56 - Issue 13 |
| Published: October 2012 |
| Authors: Jyotsna Gharat, Jayant Gadge |
10.5120/8955-3151
|
Jyotsna Gharat, Jayant Gadge . Web Information Retrieval using WordNet. International Journal of Computer Applications. 56, 13 (October 2012), 37-42. DOI=10.5120/8955-3151
@article{ 10.5120/8955-3151,
author = { Jyotsna Gharat,Jayant Gadge },
title = { Web Information Retrieval using WordNet },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 56 },
number = { 13 },
pages = { 37-42 },
doi = { 10.5120/8955-3151 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Jyotsna Gharat
%A Jayant Gadge
%T Web Information Retrieval using WordNet%T
%J International Journal of Computer Applications
%V 56
%N 13
%P 37-42
%R 10.5120/8955-3151
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Information retrieval (IR) is the area of study concerned with searching documents or information within documents. The user describes information needs with a query which consists of a number of words. Finding weight of a query term is useful to determine the importance of a query. Calculating term importance is fundamental aspect of most information retrieval approaches and it is traditionally determined through Term Frequency -Inverse Document Frequency (IDF). This paper proposes a new term weighting technique called concept-based term weighting (CBW) to give a weight for each query term to determine its significance by using WordNet Ontology.
References
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