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Reseach Article

EEWDCO: The Efficient way of Enhancing Web Document Clustering using Ontologies

by Raja Varma Pamba, Elizabeth Sherly
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 3
Year of Publication: 2014
Authors: Raja Varma Pamba, Elizabeth Sherly
10.5120/14966-3144

Raja Varma Pamba, Elizabeth Sherly . EEWDCO: The Efficient way of Enhancing Web Document Clustering using Ontologies. International Journal of Computer Applications. 86, 3 ( January 2014), 23-25. DOI=10.5120/14966-3144

@article{ 10.5120/14966-3144,
author = { Raja Varma Pamba, Elizabeth Sherly },
title = { EEWDCO: The Efficient way of Enhancing Web Document Clustering using Ontologies },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 3 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number3/14966-3144/ },
doi = { 10.5120/14966-3144 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:16.606208+05:30
%A Raja Varma Pamba
%A Elizabeth Sherly
%T EEWDCO: The Efficient way of Enhancing Web Document Clustering using Ontologies
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 3
%P 23-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The challenging aspects of immensely huge information in WWW poses a huge threat of retrieving correct information at the correct instant of time. When world is growing in a fast pace so is the exponential growth of information available in millions forms [4]. So retrieving information matching in synonym and in the right context is unmanageable in the current scenario. The need of the hour is to establish a system that could intelligently decipher the context and inherently extract the correct implicit meaning as what is expected by the user searching for information. Main contribution of this paper is in its novel attempt to incorporate the notion of HITS algorithm with the utilities of Ontologies for the effective web document clustering, which could in tremendous way enhance the present information retrieval engulfed in the hurdles of accessing, extracting, interpreting and finding relevant information as is expected by the user themselves.

References
  1. Gruber, T. R. A Translation approach to portable ontologies. Knowledge Acquisition, 1993, 5(2), 199-220.
  2. J. Kleinberg. Hubs, Authorities, and Communities. ACM Computing Surveys, 31(4es, Article No. 5), 1999.
  3. Smith, Michael K; Welty, Chris & McGuinness, Deborah L. OWL Web Ontology Language Guide, W3C, 2008. pp. 7-15
  4. D. Butler. Souped-up search engines. Nature, 405:112–115,May, 2000.
  5. J. Kleinberg. Authoritative sources in a hyperlinked environment,
  6. 1997. Research Report RJ 10076 (91892), IBM.
Index Terms

Computer Science
Information Sciences

Keywords

EEWDCO Efficient