Document plagiarism detection algorithm using semantic networks

The vast increase of available documents in the World Wide Web (WWW) and the ease access to these documents has lead to a serious problem of using other’s works without giving credits. Although many methods have been developed to detect some instances of plagiarism such as changing the structure of...

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Main Author:	Ahmed Muftah, Ahmed Jabr
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/11433/6/AhmedJabrAhmedMFSKSM2009.pdf
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id	my-utm-ep.11433
record_format	uketd_dc
spelling	my-utm-ep.114332017-09-14T03:58:43Z Document plagiarism detection algorithm using semantic networks 2009-11 Ahmed Muftah, Ahmed Jabr QA75 Electronic computers. Computer science The vast increase of available documents in the World Wide Web (WWW) and the ease access to these documents has lead to a serious problem of using other’s works without giving credits. Although many methods have been developed to detect some instances of plagiarism such as changing the structure of sentences or when slightly replacing words by their synonyms, it is often hard to reveal plagiarism when the copied sentences are deliberately modified. This project proposes an algorithm for plagiarism detection over the Web using semantic networks. The corpus of this study contains 610 documents downloaded from the Web, 10 of those were selected to be the source of 20 manually plagiarized documents. The algorithm was compared to N-grams representation and the achieved results show that an appropriate semantic representation of sentences derived from WordNet’s relations outperforms N-grams with different similarity measures in detecting the plagiarized sentences. It also show that a proposed method based on extracting named entities and common nouns is ingeneral capable for retrieving the source documents from the Web using a search engine API when sentences are being moderately plagiarized. 2009-11 Thesis http://eprints.utm.my/id/eprint/11433/ http://eprints.utm.my/id/eprint/11433/6/AhmedJabrAhmedMFSKSM2009.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:71532?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Ahmed Muftah, Ahmed Jabr Document plagiarism detection algorithm using semantic networks
description	The vast increase of available documents in the World Wide Web (WWW) and the ease access to these documents has lead to a serious problem of using other’s works without giving credits. Although many methods have been developed to detect some instances of plagiarism such as changing the structure of sentences or when slightly replacing words by their synonyms, it is often hard to reveal plagiarism when the copied sentences are deliberately modified. This project proposes an algorithm for plagiarism detection over the Web using semantic networks. The corpus of this study contains 610 documents downloaded from the Web, 10 of those were selected to be the source of 20 manually plagiarized documents. The algorithm was compared to N-grams representation and the achieved results show that an appropriate semantic representation of sentences derived from WordNet’s relations outperforms N-grams with different similarity measures in detecting the plagiarized sentences. It also show that a proposed method based on extracting named entities and common nouns is ingeneral capable for retrieving the source documents from the Web using a search engine API when sentences are being moderately plagiarized.
format	Thesis
qualification_level	Master's degree
author	Ahmed Muftah, Ahmed Jabr
author_facet	Ahmed Muftah, Ahmed Jabr
author_sort	Ahmed Muftah, Ahmed Jabr
title	Document plagiarism detection algorithm using semantic networks
title_short	Document plagiarism detection algorithm using semantic networks
title_full	Document plagiarism detection algorithm using semantic networks
title_fullStr	Document plagiarism detection algorithm using semantic networks
title_full_unstemmed	Document plagiarism detection algorithm using semantic networks
title_sort	document plagiarism detection algorithm using semantic networks
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information System
publishDate	2009
url	http://eprints.utm.my/id/eprint/11433/6/AhmedJabrAhmedMFSKSM2009.pdf
_version_	1747814854669893632

Document plagiarism detection algorithm using semantic networks

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