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Article:A Semantic Web Approach for Improving Ranking Model of Web Document

by G.Charles Babu, PVRD Prasada Rao, N.Sandhya, V.Sujatha, Dr A Govardhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 13
Year of Publication: 2010
Authors: G.Charles Babu, PVRD Prasada Rao, N.Sandhya, V.Sujatha, Dr A Govardhan
10.5120/1324-1772

G.Charles Babu, PVRD Prasada Rao, N.Sandhya, V.Sujatha, Dr A Govardhan . Article:A Semantic Web Approach for Improving Ranking Model of Web Document. International Journal of Computer Applications. 7, 13 ( October 2010), 14-18. DOI=10.5120/1324-1772

@article{ 10.5120/1324-1772,
author = { G.Charles Babu, PVRD Prasada Rao, N.Sandhya, V.Sujatha, Dr A Govardhan },
title = { Article:A Semantic Web Approach for Improving Ranking Model of Web Document },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 13 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number13/1324-1772/ },
doi = { 10.5120/1324-1772 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:11.550154+05:30
%A G.Charles Babu
%A PVRD Prasada Rao
%A N.Sandhya
%A V.Sujatha
%A Dr A Govardhan
%T Article:A Semantic Web Approach for Improving Ranking Model of Web Document
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 13
%P 14-18
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ranking models are used by Web search engines to answer user queries based on key words. Traditionally ranking models are based on a static snapshot of the Web graph, which is basically the link structure of the Web documents. The visitor's browsing activities is directly related to importance of the document. However in this traditional static model the document importance on account of interactive browsing is neglected. Thus this model lacks the ability of taking advantage of user interaction for document ranking. In this paper we propose a model based on semantic web to improve the local ranking of the Web documents. This model works on Ant Colony algorithm to enable the Web servers to interact with Web surfers and thus improve the local ranking of Web documents. The local ranking then can be used to generate the global Web ranking.

References
  1. Antoniou and Harmelen, A Semantic Web Primer, pp. 11, MIT Press, Cambridge, Massachusetts, 2008.
  2. Dorigo, Maniezzo and Colorni, The ant system: an autocatalytic optimizing process, Technical Report TR91-016, Politecnico di Milano, 1991.
  3. Dean, W3C reference on OWL, W3C document, 2004
  4. Dorigo ,A.Colorni and V. Maniezzo, Distributed optimization by ant colonies, Proceedings of ECAL'91, European Conference on Artificial Life, Elsevier Publishing, Amsterdam, 1991.
  5. Lee, MIT Technology Review, 2007
Index Terms

Computer Science
Information Sciences

Keywords

Web mining Ranking algorithm

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