Text Mining and Similarity Search Using Extended Tri-gram Algorithm in the Reference Based Local Repository Dataset
Ranjeet Kumar, R.C. Tripathi · Procedia Computer Science · 2015
In the emerging technological scenario world is becoming a digital hub where data is easily accessible on the internet. When we take into consideration the academic and research & development fields, the digital resources become more important. Academic research and their publications in current environment can be easily accessed through internet. Easy availability of such research work attracts academic literature dishonesty or plagiarism. Many of the research papers published in the several Conference-proceedings and Journals may have some percentage of plagiarized contents. At the same time, the author(s) may cite irrelevant references in the research paper. In the present research paper, a reference based extended trigram approach has been reported to check the textual plagiarism of the text written in the research papers. References form the pivotal part of any research paper or dissertation which defines the area of research and the state of the art of the research based on which originality of the contribution is adjudged. The present article also discusses the behavior of the referencing in three major research categories i.e. Research papers, Master Dissertations, and the Doctoral Dissertations.