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Reseach Article

Impact of Ontology based Approach on Document Clustering

by S.C. Punitha, K. Mugunthadevi, M. Punithavalli
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 22 - Number 2
Year of Publication: 2011
Authors: S.C. Punitha, K. Mugunthadevi, M. Punithavalli
10.5120/2556-3506

S.C. Punitha, K. Mugunthadevi, M. Punithavalli . Impact of Ontology based Approach on Document Clustering. International Journal of Computer Applications. 22, 2 ( May 2011), 22-26. DOI=10.5120/2556-3506

@article{ 10.5120/2556-3506,
author = { S.C. Punitha, K. Mugunthadevi, M. Punithavalli },
title = { Impact of Ontology based Approach on Document Clustering },
journal = { International Journal of Computer Applications },
issue_date = { May 2011 },
volume = { 22 },
number = { 2 },
month = { May },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume22/number2/2556-3506/ },
doi = { 10.5120/2556-3506 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:08:22.234075+05:30
%A S.C. Punitha
%A K. Mugunthadevi
%A M. Punithavalli
%T Impact of Ontology based Approach on Document Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 22
%N 2
%P 22-26
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Document clustering is considered as an important tool in the fast developing information explosion era. It is the process of grouping text documents into category groups and has found applications in various domains like information retrieval, web or corporate information systems. Ontology-based computing is emerging as a natural evolution of existing technologies to cope with the information onslaught. This paper discusses the concepts behind ontology-based document clustering and compares the performance with existing traditional system. The results prove that introducing ontology concepts with document clustering is promising and improves clustering process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Clustering Document Clustering Ontology Similarity Measure Text Mining