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Web Information Retrieval using WordNet
| 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
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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