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Web Information Retrieval using WordNet

by Jyotsna Gharat, Jayant Gadge
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 13
Year of Publication: 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 },
issue_date = { October 2012 },
volume = { 56 },
number = { 13 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number13/8955-3151/ },
doi = { 10.5120/8955-3151 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:46.230488+05:30
%A Jyotsna Gharat
%A Jayant Gadge
%T Web Information Retrieval using WordNet
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 13
%P 37-42
%D 2012
%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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Index Terms

Computer Science
Information Sciences

Keywords

Information Retrieval (IR) Part of Speech (POS) WordNet Ontology Concept-based Term Weighting (CBW)

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