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Poach Tracker: An Online Plagiarism Detection Tool

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IJCA Proceedings on Recent Trends in Future Prospective in Engineering and Management Technology
© 2016 by IJCA Journal
RTFEM 2016 - Number 2
Year of Publication: 2016
Authors:
Aaisha Anjum
Avantika Srivastava
Kajal Goel
Sonal Shalya
Avdhesh Gupta

Aaisha Anjum, Avantika Srivastava, Kajal Goel, Sonal Shalya and Avdhesh Gupta. Article: Poach Tracker: An Online Plagiarism Detection Tool. IJCA Proceedings on Recent Trends in Future Prospective in Engineering and Management Technology RTFEM 2016(2):30-33, July 2016. Full text available. BibTeX

@article{key:article,
	author = {Aaisha Anjum and Avantika Srivastava and Kajal Goel and Sonal Shalya and Avdhesh Gupta},
	title = {Article: Poach Tracker: An Online Plagiarism Detection Tool},
	journal = {IJCA Proceedings on Recent Trends in Future Prospective in Engineering and Management Technology},
	year = {2016},
	volume = {RTFEM 2016},
	number = {2},
	pages = {30-33},
	month = {July},
	note = {Full text available}
}

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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