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@inproceedings{1202731,
author = {Suchomel, Šimon and Brandejs, Michal},
address = {Irbid},
booktitle = {Information and Communication Systems (ICICS), 2014 5th International Conference on},
doi = {http://dx.doi.org/10.1109/IACS.2014.6841959},
keywords = {information retrieval;security of data;software architecture;Masaryk University;antiplagiarism software;architecture;candidate document retrieval;online document retrieval;Databases;Internet;Plagiarism;Portable document format;Search engines;Standards},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Irbid},
isbn = {978-1-4799-3023-4},
pages = {1-6},
publisher = {IEEE},
title = {Approaches for Candidate Document Retrieval},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6841959},
year = {2014}
}
TY - JOUR
ID - 1202731
AU - Suchomel, Šimon - Brandejs, Michal
PY - 2014
TI - Approaches for Candidate Document Retrieval
PB - IEEE
CY - Irbid
SN - 9781479930234
KW - information retrieval;security of data;software architecture;Masaryk University;antiplagiarism software;architecture;candidate document retrieval;online document retrieval;Databases;Internet;Plagiarism;Portable document format;Search engines;Standards
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6841959
L2 - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6841959
N2 - Plagiarism has become a serious problem mainly because of the electronically available documents. An online document retrieval is 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. A similar system was developed as a part of nationwide plagiarism solution at Masaryk University. The design can be adapted into many situations. Provided recommendation stem from experience of the system operation for several years. The proper usage of such systems contributes to gradual improvement of the quality of student theses.
ER -
SUCHOMEL, Šimon and Michal BRANDEJS. Approaches for Candidate Document Retrieval. In \textit{Information and Communication Systems (ICICS), 2014 5th International Conference on}. Irbid: IEEE, 2014, p.~1-6. ISBN~978-1-4799-3023-4. Available from: https://dx.doi.org/10.1109/IACS.2014.6841959.
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