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

Main Article Content

Andrii Aronov
https://orcid.org/0000-0002-0206-4169
Viktor Vyshnivskyi
https://orcid.org/0000-0003-1923-4344
Irina Zamarueva
https://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article is the data processing processes posted on the site for solving the applied problem of automatic detection of outdated information.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efficiency of the work of system administrator site by providing him with a tool that automatically allows to identify outdated information on the site and decide its future fate (delete, archive, move to special sections, etc.). The tasks to be solved are: to develop a method for automatically detecting outdated information based on information analysis of site data that would provide the system administrator with the ability to further automatically process site data.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 According to the tabular model of information processing, the task of automatic detection of outdated information was formulated. The basis of the procedure for automatic detection of outdated information is the logical structure of the Yanov’s algorithm.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 The scientific novelty of the results obtained is as follows: we have developed a method for automatically detecting outdated information based on information analysis of site data that differs from existing ones in that not only time indicators for creating / updating pages of a site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 For the analysis of text information templates were build, which allow to automate the process of revealing outdated information and updating the pages of the site.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

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