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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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