INVESTIGATION OF METHODS OF INTELLECTUAL ANALYSIS OF BIBLIOGRAPHIC DESCRIPTIONS AND DEVELOPMENT OF PROGRAM SYSTEM FOR ANALYSIS OF LITERATURE LIST

Abstract

Context. The problem of analyzing a bibliographic list is examined with the purpose of automating the verification of the correctness of its compilation. The object of the study was the process of creating bibliographic descriptions based on existing standards.
The subject of the study is models and methods of intellectual analysis for checking and correcting bibliographic descriptions.                                                                          Objective. The goal of the work is to increase the effectiveness of scientific and pedagogical activity through the use of an intellectual system to check the list of literary sources in the students’ course and diploma papers.
Method. The standard is analyzed and the elements composing the bibliographic description are listed. Existing tools for forming and checking the list of literature sources are considered, their shortcomings are revealed, the necessity of creating a software tool for
checking bibliographic descriptions is grounded. The research of methods of intellectual analysis is given: methods of regular expressions, fuzzy search with application of fuzzy regular expressions, finite automaton and neural network of Hamming are considered. A  previously existing model for checking the bibliographic description for compliance with existing standards was created, based on the methods of regular expressions, fuzzy search, the finite automaton and the neural network of Hamming. An object-oriented model of the projected computer system in the language of visual modeling of UML is presented. The work of computer implementation of the software system implemented in the C # visual programming environment is described.                                                                                            Results. A software system was developed – an intelligent decision-making system – to check the bibliographic description and partially automated correction with user instructions generated based on the knowledge base.                                                                                    Conclusions. The developed intellectual system allows to reveal and correct mistakes of registration of the bibliographic description. The basis of the program is the knowledge base, which can be supplemented if there are any unforeseen situations. In addition, this system makes it possible to accumulate a database of already verified lists of literature. The developed system can be improved without interfering with the source code of the program. At the same time, the level of its capabilities and correctness of corrections, the issuance of comments directly depends on the completeness and correctness of the compiled knowledge base. The prospects for further research include the use of other styles for the design of a list of literature other than DSTU 7.1: 2006, such as the IEEE.