L. Hariharan, M. Kumarasamy College of Engineering, Karur, Tamilnadu, India.
G. Gurumoorthy, Shree Venkateshvara Hi-Tech Engineering College, Gobi, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.04.01
International Journal of Advanced Information and Communication Technology
Received On : October 08, 2016
Revised On : November 17, 2016
Accepted On : December 13, 2016
Published On : January 05, 2016
Volume 03, Issue 01
Pages : 421-424
Abstract
In this paper, we discuss the plagiarism detection paradigm for web content using similarity analysis approach to compare with the two string or word or document. Heterogeneity is the World Wide Web hypertext documents continually growing information sources, unavailability of parameter in the system, the automatic discovery, composition, and web-based information is the most challenging task to manage. In this study, while comparing the text or word disestablishment of vocabulary is encountered. To overcome this issue a method is proposed which incorporates the cosine metric factor to illustrate the relevance among documents while comparing with text or word or group of string. This study reveals efficient detection plagiarism through similarity analysis.
Keywords
Plagiarism Detection, Distance Matrix, Similarity Analysis.
Cite this article
L. Hariharan, G. Gurumoorthy, “Plagiarism Detection Paradigm for Web Content Using Similarity Analysis Approach” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.421-424, January 05, 2016.
Copyright
© 2016 L. Hariharan, G. Gurumoorthy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.