International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 56 - Issue 13 |
Published: October 2012 |
Authors: Jyotsna Gharat, Jayant Gadge |
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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
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.