Plagiarism: Detection Techniques and Tools.
Plagiarism is an act or practice of taking someone’s words, ideas or concept in one’s own creation without giving credit to the creator. This practice has been carried out since a long time in academia, music, film, painting, sculpture, and dance; to some extent in every dimensions of creative world. But particularly in academia, this practice has been widely spread over last several decades. Different effort has been taken to counter it.
Detection of plagiarize text document with high accuracy is a challenging task. Several methods or techniques are used by plagiarism detecting tools or software. A basic mechanism of textual plagiarism detection is based on matching or comparing the input text to the Reference text with Monolingual or Cross lingual detection. Plagiarize segment with references is provided as output of the process. Analyzing the writing style of the author in different part of a particular document, is the another technique used by plagiarism detecting tools or software. The present paper throws some light on the different types of plagiarism in academia and the corresponding technique to detect that. Last part of this paper states some available detection tools and software used by the different stakeholders in the academia.
2. Bazdaric K. (2012).Plagiarism detection: quality management tool for all scientific journals. Croat Med Journal.
3. Bin-Habtoor,A and Zaher,M(2012) . A survey on plagiarism detection systems, International Journal of Computer Theory and Engineering 4 (2).
4. Chow,T.W and Rahman, M(2009).Multilayer som with tree-structured data for efficient document retrieval and plagiarism detection, IEEE Transactions on Neural Networks 20 (9) 1385-1402.
5. Delors, J., & UNESCO. (1996). Learning, the treasure within: Report to UNESCO of the International Commission on Education for the Twenty-first Century. Paris: UNESCO Publication.
6. Ochroch,E.A( 2011). Review of plagiarism detection freeware, Anesthesia & Analgesia 112 (3) :742--743.
7. White,D.R and Joy,M.S(2004). Sentence-based natural language plagiarism detection, Journal on Educational Resources in Computing (JERIC) 4 (4).
8. Yang, C.C.; Chen, Hsinchun and Honga, Kay (2003). "Visualization of large category map for Internet browsing" . Decision Support Systems. 35 (1): 89–102.
9. http://www.duplichecker.com/, Duplichecker
10. http://www.ithenticate.com/, ithenticate.
11. http://plagiarisma.net/, Plagiarisma.
12. http://www.plagium.com/en/plagiarismchecker, Plagiarismchecker.
13. http://www.plagtracker.com/, Plagtracker
14. http://www.plagscan.com/, Plagsca
Submission of an article implies that the work described has not been published previously (except in the form of an abstract or as part of a published lecture or academic thesis), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, in English or in any other language, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.
Copyrights for articles published in International Journal of Innovative Knowledge Concepts are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.