MODELS OF INTEGRATION OF INFORMATION SYSTEMS IN HIGHER EDUCATION INSTITUTIONS
DOI:
https://doi.org/10.17770/sie2018vol1.3308Keywords:
integrated system, e-library, plagiarism, database, information library system, cloud technologies, communicative formatAbstract
At present a lot of automated systems are developing and implementing to support the educational and research processes in the universities. Often these systems duplicate some functions, databases, and also there are problems of compatibility of these systems. The most common educational systems are systems for creating electronic libraries, access to scientific and educational information, a program for detecting plagiarism, testing knowledge, etc. In this article, models and solutions for the integration of such educational automated systems as the information library system (ILS) and the anti-plagiarism system are examined. Integration of systems is based on the compatibility of databases, if more precisely in the metadata of different information models. At the same time, Cloud technologies are used - data processing technology, in which computer resources are provided to the user of the integrated system as an online service. ILS creates e-library of graduation papers and dissertations on the main server. During the creation of the electronic catalog, the communication format MARC21 is used. The database development is distributed for each department. The subsystem of anti-plagiarism analyzes the full-text database for the similarity of texts (dissertations, diploma works and others). Also it identifies the percentage of coincidence, creates the table of statistical information on the coincidence of tests for each author and division, indicating similar fields. The integrated system was developed and tested at the Tashkent University of Information Technologies to work in the corporate mode of various departments (faculties, departments, TUIT branches).
References
Aushra, A. (2006). Scientific e-library as instrument for detecting plagiarism. Educational Technology & Society 9(3).
Benno, S., Moshe K. (2011). Plagiarism Analysis, Authorship Identification, and Near-Duplicate Detection PAN’07 (pp. 68-71). ACM SIGIR Forum. http://sigir.org/files/forum/2007D/2007d_sigirforum_stein.pdf
Bouville, M. (2008). Plagiarism: Words and ideas. Science and Engineering Ethics. Science and Engineering Ethics. Downloaded from https://arxiv.org/pdf/0803.1526.pdf
Doreen, S., Grace G. (2011). ACT BSSS What is plagiarism? (pp. 12-19) South Australia: ACT Board of Senior Secondary Studies. Downloaded from https://www.um.edu.mt/__data/assets/pdf_file/0018/261324/avdplagiarism.pdf
Dyagilev, V., Say, A., Butakov, S. (2011). The architecture of service of detecting plagiarism. Moscow: Vestnik NGU.
Johnston, B. (2008). The concept of plagiarism. UK: Learning, Teaching unit. Downloaded from http://www.celt.mmu.ac.uk/ltia/issue4/johnston.shtml
Leong A., Lau H. & Rynson, W. H. (1997). Check: A Document Plagiarisment Detection System (pp. 70-77). Hong Kong: The Hong Kong Polytechnic University. http://www.cs.cityu.edu.hk/~rynson/papers/sac97.pdf
Monostori, K., Zaslavsky & A., Schmidt, H. (2000) Document Overlap Detection System for Distributed Digital Libraries. South Korea: Chung-Ang university. School of computer science & Engineering. Downloaded from https://link.springer.com/chapter/10.1007%2F11846406_83
Sharapov, R.V., Sharapova, E.V. (2011) Checking system for detecting of loan from other sources. Russian scientific conference. E-libraries: Perspective methods and technologies of the e-collections.
Sorokina, D., Davis, J. & Garcia-Molina H. (2014) Plagiarism detection in arXiv. USA: Cornel university
Ushakin, S. (2001) Plagiarism? About scientific ethics. Science and contemporaneity.