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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(1): 100-103 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.15

A New Context Oriented Synonym Based Searching Technique for Digital Collection

M Thangaraj, Member, IACSIT, V Gayathri
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.

Index Terms—B+-Tree; Digital Collection; Hash Table; Synonym–Based Search;

Dr.M Thangaraj is now Associate Professor, in Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India (e-mail: thangarajmku@yahoo.com). V Gayathri is with the Department of Computer Science, Madurai Kamaraj University, Madurai, TN, India (e-mail: gayathrivengatmku@yahoo.com).

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Cite:M Thangaraj, Member, IACSIT, V Gayathri, "A New Context Oriented Synonym Based Searching Technique for Digital Collection," International Journal of Machine Learning and Computing vol. 1, no. 1, pp. 100-103, 2011.

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