Partial plagiarism detection using string matching with mismatches

Tetsuya Nakatoh, Kensuke Baba, Yasuhiro Yamada, Daisuke Ikeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In recent years, many documents are created as an electronic one and are distributed. Although those costs were reduced remarkably, the copy of a document could also be created easily. Spreading of plagiarism or violation of copyright is the big issue which controls production of a valuable document. Therefore, the system which detects plagiarism is very important. Many plagiarism detection systems have aimed to detect a document chiefly similar to query. However, it is not easy to detect a partially similar document. When the document with the possibility to plagiarize or to be plagiarized is not given, the detection of a similar document by mutual comparisons of all documents is more difficult. We propose the method that detects partial copies from documents without query. Some partial copies were detected from test documents.

Original languageEnglish
Title of host publicationInformatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings
Pages265-272
Number of pages8
EditionPART 4
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Informatics Engineering and Information Science, ICIEIS 2011 - Kuala Lumpur, Malaysia
Duration: Nov 14 2011Nov 16 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 4
Volume254 CCIS
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Informatics Engineering and Information Science, ICIEIS 2011
Country/TerritoryMalaysia
CityKuala Lumpur
Period11/14/1111/16/11

Keywords

  • Approximate String Matching
  • FFT
  • Plagiarism Detection

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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