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IJML 2011 Vol.1(1): 100-103
doi: 10.7763/IJMLC.2011.V1.15

A New Context Oriented Synonym Based Searching Technique for Digital Collection

M Thangaraj , V Gayathri

  • Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India

Abstract

Each year sees the introduction of new digital libraries promoted as valuable resources for education and other needs. Yet systematic evaluation of the implementation and efficacy of these digital library systems is often lacking, due to the traditional keyword based search. Not only the keywords, but the synonym of it also plays an important role in the searching era. In order to overcome the issues of the traditional search, this paper suggests an effective technique, NCOSBS (New Context – Oriented Synonym Based Search). Our proposal is illustrated by showing improvements with respect to existing technique, and providing ground for further research and discussion.

Keywords

  • B+-Tree;
  • Digital
  • Collection;
  • Hash
  • Table;
  • Synonym–Based
  • Search;
15-L3008

How to Cite

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M Thangaraj and V Gayathri, "A New Context Oriented Synonym Based Searching Technique for Digital Collection," International Journal of Machine Learning, vol. 1, no. 1, pp. 100-103, 2011. https://doi.org/10.7763/IJMLC.2011.V1.15

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD