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Reseach Article

A Novel Approach for Document Ranking in Digital Libraries using Extractive Summarization

by Shikha Singla, Neelam Duhan, Usha Kalkal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 18
Year of Publication: 2013
Authors: Shikha Singla, Neelam Duhan, Usha Kalkal
10.5120/12986-0179

Shikha Singla, Neelam Duhan, Usha Kalkal . A Novel Approach for Document Ranking in Digital Libraries using Extractive Summarization. International Journal of Computer Applications. 74, 18 ( July 2013), 25-31. DOI=10.5120/12986-0179

@article{ 10.5120/12986-0179,
author = { Shikha Singla, Neelam Duhan, Usha Kalkal },
title = { A Novel Approach for Document Ranking in Digital Libraries using Extractive Summarization },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 18 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number18/12986-0179/ },
doi = { 10.5120/12986-0179 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:38.865495+05:30
%A Shikha Singla
%A Neelam Duhan
%A Usha Kalkal
%T A Novel Approach for Document Ranking in Digital Libraries using Extractive Summarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 18
%P 25-31
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital libraries have become an important tool for searching the scientific literature. The growth of digital libraries is exponential based upon the fact that researchers are utilizing it more and more by the days. To make the search better, the content of digital libraries should be ranked properly. The rank of research paper depends upon many factors like citations to paper; content, authors and publications of the paper etc. Based upon these parameters, different ranking algorithms have been proposed till now. In this paper, a new algorithm C3 ranking is proposed, which considers two important factors i. e. citations to the paper and the relevancy of the content with the query.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital libraries C3 Ranking Summary Citation