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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.

References
  1. Naresh Barsagade; Web Usage Mining And Pattern Discovery: A Survey Paper. CSE 8331,2003.
  2. M. Krishnamurthy; Open access, open source and digital libraries: A current trend in university libraries around the world. A General Review, Emerald Group Publishing Limited.
  3. Sumita Gupta, Neelam Duhan, Poonam Bansal; A comparative study of page ranking algorithms for online digital library. International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April 2013.
  4. Neelam Duhan, A. K. Sharma, Komal Kumar Bhatia; Page Ranking Algorithms: A Survey. 2009 IEEE International Advance Computing Conference (IACC 2009) Patiala, India, 6–7March 2009.
  5. Jaroslav Pokorny, Jozef Smizansky; Page Content Rank: An Approach to the Web Content Mining.
  6. Joeran Beel, Bela Gipp; Google Scholar's Ranking Algorithm: The Impact of Citation Counts (An Empirical Study). In Rcis 2009: Proceedings of The IEEE International Conference on Research Challenges In Information Science, 2009.
  7. L. Marian, M. Rajman; Ranking Scientific Publications Based on Their Citation Graph. Master Thesis, CERNTHESIS, 2009.
  8. L. Marian, J. Yves LeMeur, M. Rajman, M. Vesely; Citation Graph Based Ranking in Invenio. ECDL, pp. 236-247, 2010.
  9. Lawrence Page, Sergey Brin, Rajeev Motwani and Terry Winograd; The pagerank citation ranking bringing order to the web. technical report, computer science department, Stanford university; 1998.
  10. Sergey Brin and Larry Page; The anatomy of a Large scale Hypertextual Web Search Engine". In Proceedings of the Seventh International World Wide Web Conference, 1998.
  11. Kleinberg J. ; Authorative Sources in a Hyperlinked Environment. Proceedings of the 23rd annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998.
  12. Palakorn Achananuparp, Xiaohua Hu, and Shen Xiajiong; The Evaluation of Sentence Similarity Measures.
  13. Landauer, T. K. , Laham, D. , Rehder, B. , and Schreiner, M. E. (1997); How Well Can Passage Meaning Be Derived without Using Word Order? A Comparison of Latent Semantic Analysis and Humans. in Proc. 19th Ann. Meeting of the Cognitive ScienceSoc. , 412-417.
  14. Achananuparp, P. , Hu, X. , Zhou, X. , and Zhang, X. (2008); Utilizing Sentence Similarity and Question Type Similarity to Response to Similar Questions in Knowledge-Sharing Community. To appear in Proceedings of QAWeb 2008 Workshop, Beijing, China.
  15. Hacene Ait Haddadene, Hakim Harik And Said Salhi; On the Pagerank Algorithm for the Articles Ranking. Proceedings of the World Congress on Engineering 2012 Vol I WCE 2012, July 4 - 6, 2012, London, U. K
Index Terms

Computer Science
Information Sciences

Keywords

Digital libraries C3 Ranking Summary Citation