Earticle

초록

영어

The problem of text plagiarism has increased because of the digital resources available on the World Wide Web. Source Retrieval and Text Alignment are two core tasks of plagiarism detection. A plagiarism source retrieval and text alignment system based on relevance ranking model is described in this paper. Not only the source retrieval task but also the text alignment task is all regarded as a process of information retrieval, and the relevance ranking is used to search the plagiarism sources and obtain the candidate plagiarism seeds. For source retrieval, BM25 model is used, while for text alignment, Vector Space Model is exploited. Furthermore, a plagiarism detection system named HawkEyes is developed based on the proposed methods and some demonstrations of HawkEyes are given.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Plagiarism Detection
  2.2. Source Retrieval
  2.3. Text Alignment
 3. Method of Plagiarism Source Retrieval and Text Alignment Based on Information Retrieval Model
  3.1. Relevance Ranking Model
  3.2. Source Retrieval Based on BM25
  3.3. Text Alignment Based on VSM
 4. Demonstration of Plagiarism Detection System
 5. Conclusion
 References

키워드

저자

• Leilei Kong [ Colledge of Information and Communication Engineering, Harbin Engineering University / Computer Science and Technology, Heilongjiang Institute of Technology ]
• Zicheng Zhao [ Computer Science and Technology, Heilongjiang Institute of Technology ]
• Zhimao Lu [ Colledge of Information and Communication Engineering, Harbin Engineering University ]
• Haoliang Qi [ Computer Science and Technology, Heilongjiang Institute of Technology ] Corresponding Author
• Feng Zhao [ Colledge of Information and Communication Engineering, Harbin Engineering University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605