Detailed Information on Publication Record
2015
Source Retrieval for Plagiarism Detection
SUCHOMEL, Šimon and Michal BRANDEJSBasic information
Original name
Source Retrieval for Plagiarism Detection
Authors
SUCHOMEL, Šimon (203 Czech Republic, belonging to the institution) and Michal BRANDEJS (203 Czech Republic, guarantor, belonging to the institution)
Edition
Journal of Advances in Information Technology, United States of America, 2015, 1798-2340
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/15:00084573
Organization unit
Faculty of Informatics
Keywords in English
plagiarism detection; plagiarism; source document retrieval; system design; system architecture; querying
Tags
International impact, Reviewed
Změněno: 2/5/2016 06:28, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Plagiarism has become a serious problem mainly because of the electronically available documents. An online document retrieval is a weighty part of a modern anti-plagiarism tool. This paper describes an architecture and concepts of a real-world document retrieval system, which is a part of a general anti-plagiarism software. Up to date systems for plagiarism detection are discussed from the source retrieval perspective. The key approaches of source retrieval are compared. The system recommendations stem from design, implementation, and several years of operation experience of a nationwide plagiarism solution at Masaryk University in the Czech Republic. The design can be adapted to many situations. Proper usage of such systems contributes to the gradual improvement of the quality of student theses.
Links
| LG13010, research and development project |
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