Method for automation of detecting detailed information on the basis of information and analytical analysis of the site data

Main Article Content

Andrii Aronov
http://orcid.org/0000-0002-0206-4169
Viktor Vyshnivskyi
http://orcid.org/0000-0003-1923-4344
Irina Zamarueva
http://orcid.org/0000-0003-3696-5210

Abstract

The subject matter of the article is the data processing processes posted on the site for solving the applied problem of automatic detection of outdated information. The goal is to increase the efficiency of the work of system administrator site by providing him with a tool that automatically allows to identify outdated information on the site and decide its future fate (delete, archive, move to special sections, etc.). The tasks to be solved are: to develop a method for automatically detecting outdated information based on information analysis of site data that would provide the system administrator with the ability to further automatically process site data. The method used is: an information-analytical method for analyzing site data, presented in the form of a table representation model of the logical structure of the Yanov’s algorithm. The following results were obtained. According to the tabular model of information processing, the task of automatic detection of outdated information was formulated. The basis of the procedure for automatic detection of outdated information is the logical structure of the Yanov’s algorithm. This structure allows visually to preserve the integrity of the algorithm when adding (expanding) certain procedures. The individuality of the object is accounted for by the presence or absence of certain conditions, which avoids recursion. As a result, we obtained a reference models (templates), which convert text data to a single unified representation. These models are designed for formats that are typical for letters-messages and news. Conclusions. The scientific novelty of the results obtained is as follows: we have developed a method for automatically detecting outdated information based on information analysis of site data that differs from existing ones in that not only time indicators for creating / updating pages of a site are analyzed, but the all content of text page. For the analysis of text information templates were build, which allow to automate the process of revealing outdated information and updating the pages of the site.

Article Details

How to Cite
Aronov, A., Vyshnivskyi, V., & Zamarueva, I. (2018). Method for automation of detecting detailed information on the basis of information and analytical analysis of the site data. Advanced Information Systems, 2(1), 28–31. https://doi.org/10.20998/2522-9052.2018.1.05
Section
Information systems research
Author Biographies

Andrii Aronov, State University of Telecommunications, Kyiv

Postgraduate student

Viktor Vyshnivskyi, State University of Telecommunications, Kyiv

Doctor of Technical Sciences, Professor, Head of the Department of Information and Cybernetics

Irina Zamarueva, State University of Telecommunications, Kyiv

Doctor of Technical Sciences, Professor, Senior Engineer of the Department of Computer Science

References

Gelenbe, E. and Pujolle, G. (2010), “Analysis and synthesis of computer systems”, Advances in Computer Science and Engi-neering, Vol. 4, 309 p.

Kuchuk, G.A. (2014), Information Technologies for Integrated Data Flow Control in Information and Telecommunication Networks of Critical Purposes, KhUPS, Kharkiv, 264 p.

Gavrilova, T.A. and Khoroshevskiy, V.F. (2000), Bazy znaniy intellektual'nykh system [Knowledge bases of intellectual sys-tems], Piter, St. Petersburg, 384 p.

Balashov, E.P., Negoda, V.N. and Puzankov D.V. (1985), Table processing of information, Energoatomizdat, Leningrad, 184 р.

Krinitsky, N.A., Mironov, G.A. anf Frolov G.D. (1979), Programming and algorithmic languages, Nauka, Moscow, 509 p.

Aronov, A.O. (2018), “Development of the model of structural-logical representation of the data of the site of the higher educa-tional institution on the basis of the hierarchical classifier”, Collection of scientific works of the Military Institute of the Taras Shevchenko National University of Kyiv, VIKNU, Kyiv, No. 59, pp. 24-28.

Zamarueva, I.V., Barabash, O.V. and Pampukha, I.V. (2017), “Automation of the analysis of the content of natural-language texts as a way to ensure the safety of the adoption of management decisions”, Scientific notes of the Ukrainian Research Insti-tute of Communication, UNIIZ, Kiev, No. 3 (47), pp. 33-41.