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Reseach Article

Poach Tracker: An Online Plagiarism Detection Tool

Published on July 2016 by Aaisha Anjum, Avantika Srivastava, Kajal Goel, Sonal Shalya, Avdhesh Gupta
Recent Trends in Future Prospective in Engineering and Management Technology
Foundation of Computer Science USA
RTFEM2016 - Number 2
July 2016
Authors: Aaisha Anjum, Avantika Srivastava, Kajal Goel, Sonal Shalya, Avdhesh Gupta
f7dafd57-5e02-471c-bae1-66ee292688f4

Aaisha Anjum, Avantika Srivastava, Kajal Goel, Sonal Shalya, Avdhesh Gupta . Poach Tracker: An Online Plagiarism Detection Tool. Recent Trends in Future Prospective in Engineering and Management Technology. RTFEM2016, 2 (July 2016), 30-33.

@article{
author = { Aaisha Anjum, Avantika Srivastava, Kajal Goel, Sonal Shalya, Avdhesh Gupta },
title = { Poach Tracker: An Online Plagiarism Detection Tool },
journal = { Recent Trends in Future Prospective in Engineering and Management Technology },
issue_date = { July 2016 },
volume = { RTFEM2016 },
number = { 2 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 30-33 },
numpages = 4,
url = { /proceedings/rtfem2016/number2/25493-5131/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Trends in Future Prospective in Engineering and Management Technology
%A Aaisha Anjum
%A Avantika Srivastava
%A Kajal Goel
%A Sonal Shalya
%A Avdhesh Gupta
%T Poach Tracker: An Online Plagiarism Detection Tool
%J Recent Trends in Future Prospective in Engineering and Management Technology
%@ 0975-8887
%V RTFEM2016
%N 2
%P 30-33
%D 2016
%I International Journal of Computer Applications
Abstract

Plagiarism refers to "the act of copying material without actually conceding the original source". Plagiarism has seen a wide spread activity in the recent times. The increased in the number of materials available now in the electronic form and the easy access to the internet has increased plagiarism. Various techniques are available which help us to detect plagiarism. This paper proposes algorithm foe plagiarism detection over web using semantic networks. It also shows that a proposed method is in general capable for retrieving the source document from the web using a search engine API when sentences are being infringed. It also calculates the threshold value for different URLs.

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Index Terms

Computer Science
Information Sciences

Keywords

Plagiarism Plagiarism Detection Knuth Morrispratt Threshold Value