Earticle

초록

영어

With the rapid development of the Internet, getting shared resource on the network is becoming more easy, and various plagiarize is becoming to breed, so the research of text copy detection technology is becoming more important. The traditional copy detection technology is based on term frequency statistics, and does not consider the context semantic. Some plagiarism can be easily made by replacing synonyms, changing the sentence structure, or translating from one language to another language. But the traditional copy detection technology could not detect such plagiarism. In this paper, a text copy detection method based on semantic is proposed. By using an improved TFIDF algorithm, terms could be more accurately extracted from each document in the corpus. By putting the documents corresponding to the terms one by one, a terms category is built in the database. When a document is detecting, the terms are read from the database and matched. The testing results show that, compared to the traditional TFIDF algorithm, the improved method could more accurately detect the plagiarism.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Priori Knowledge
  3.1. Chinese Word Segmentation
  3.2. Semantic Feature Extraction
  3.3. Retrieval Algorithm
  3.4. Fuzzy Matching and Exact Matching
 4. Design of detection system
  4.1. The TFIDF Algorithm
  4.2. The Improved TFIDF Algorithm
  4.3. System Design
  4.4. The Proposed Detecting Solution
 5. Performance Analysis
  5.1. Stemming Process
  5.2. The Impact of the Keyword Number on the Detection Accuracy
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Jianjun Zhang [ School of Information Science and Engineering, Hunan University, Changsha 410080, China , College of Engineering and Design, Hunan Normal University, Changsha 410081, China ]
• Xingming Sun [ School of Information Science and Engineering, Hunan University, Changsha 410080, China, School of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China ]
• Jin Wang [ School of Computer and Software & Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China ]

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