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article is the data processing processes posted on the site for solving the applied problem of automatic detection of outdated information.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efficiency of the work of system administrator site by providing him with a tool that automatically allows to identify outdated information on the site and decide its future fate (delete, archive, move to special sections, etc.). The tasks to be solved are: to develop a method for automatically detecting outdated information based on information analysis of site data that would provide the system administrator with the ability to further automatically process site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 According to the tabular model of information processing, the task of automatic detection of outdated information was formulated. The basis of the procedure for automatic detection of outdated information is the logical structure of the Yanov’s algorithm.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 The scientific novelty of the results obtained is as follows: we have developed a method for automatically detecting outdated information based on information analysis of site data that differs from existing ones in that not only time indicators for creating / updating pages of a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 For the analysis of text information templates were build, which allow to automate the process of revealing outdated information and updating the pages of the site.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