Development of a method for automating detection of conflicting information based on analysis of site data

DOI №________________

Abstract

The method of automated detection of contradictory information based on the information-analytical analysis of site data is proposed. The proposed method is designed to create software that can be used by system administrators of the site. The method is based on a comparison of the content of the site pages set by the administrator, in order to identify and resolve differences. As a formalization structure, representation of procedures in the form of a logical structure of the Yanov’s algorithm is chosen, which allows to build an algorithm from the top down, that is, from the general strategy of finding information on the site to the processing of individual blocks. Input data is directly the texts of the pages of the site, standard pages (pages that contains knowingly valid information), a list of search patterns of the keywords, and the result data is ‒ updated texts of the pages of the site. A distinctive feature of the proposed method is that the data processing process includes two main procedures: the procedure for automatically detecting contradictions and correcting data; procedure for automatically detecting discrepancies in the content of pages. The process of finding and comparing of fragments of texts on the pages is performed using search patterns. Depending on the types and location of the pages being compared, a decision is made to automatically make changes or notify the site administrator of necessity to perform manual corrections. The fragments of algorithms for detecting discrepancies, contradictions and corrections of data in the text of pages of a site in the form of the Yanov’s algorithm are presented.

Keywords: site development, representation of procedures, Yanov's algorithm, logical structure, analysis of site data, system administrators of the site, revealing contradictions.

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