ISSN 1991-2927
 

ACP № 1 (59) 2020

Author: "Sergey Evgenyevich Savotchenko"

Sergey Evgenyevich Savotchenko, Belgorod Institute of Education Development, Doctor of Physics and Mathematics, Associate Professor; graduated from the Faculty of Physics at Kharkiv State University; Professor of the Department of Computer Science in Belgorod Institute of Education Development, an author of articles in the field of mathematical modeling, information technology, and automated information systems. [e-mail: ]S. Savotchenko,

Vadim Andreevich Stukalov, Belgorod State Institute of Art and Culture, Postgraduate Student of the Department of Library Science, Bibliography and Bibliology at the Belgorod State Institute of Art and Culture; graduated from Belgorod State University; an author of articles in the field of the integrated library systems. [e-mail: svadglo@gmail.com]V. Stukalov,

Elena Aleksandrovna Proskurina, Belgorod State Institute of Art and Culture, Postgraduate Student of the Department of Library Science, Bibliography and Bibliology at the Belgorod State Institute of Art and Culture; graduated from the Belgorod State Institute of Art and Culture; an author of articles in the field of the integrated library systems. [e-mail: pea@bgiik.ru]E. Proskurina

Dynamics of Semantic Measure of Search Query Results 36_11.pdf

The article presents the research results of changing the quality characteristics of information search in time illustrated by the example of five global search systems. The implementation of semantic measure and partial semantic measure of definition search query results was estimated to display that the automated search systems are in a position to output the pertinent documents at simple select query.To analyze the stability over time the results of information retrieval, in the use of quantitative indicators for implementation of the sequence of normalized conditional queries. Defined methodology for conducting trials to capture the dynamics of semantic query results to measure the automated retrieval information systems.We used the quantitative characteristics specifying the conditional standard query sequence implementation to analyze the stability of retrieval results in time. It was defined the methodology for conducting trials to capture the dynamics of semantic query results to measure the automated retrieval information systems.The article presents dynamics of completeness semantic relations and semantic measures of the SERPs information retrieval systems Yandex, Rambler, Nigma, Qip, and Mail.ru. Based on the realizations of random trajectories semantic dependency measures and partial measures, mean values are calculated for the observation period. Analysis of variance values of the partial measures as a function of weight showed that among the surveyed search engines, Mail.ru has to some extent the possibility of pertinence search.

Descriptor, information search, semantic relations, paradigmatic relations, information retrieval systems.

2014_ 2

Sections: Artificial intelligence

Subjects:


Sergei Evgenevich Savotchenko, Belgorod Institute of Education Development, Doctor of Physics and Mathematics, Associate Professor, graduated from the Physics Faculty of Kharkov State University, Professor at the Department of Computer Science at Belgorod Institute of Education Development; an author of articles in mathematical modeling, information technology and automated information systems. [e-mail: savotchenko@hotbox.ru]S. Savotchenko,

Vadim Andreevich Stukalov, Belgorod State Institute of Arts and Culture, Post-graduate Student at the Department of Library Science, Bibliography, and Bibliology at Belgorod State Institute of Arts and Culture; an author of articles in the field of integrated library systems. [e-mail: svadglo@gmail.com]V. Stukalov

Semantic Measure of Search Query Results 34_10.pdf

The concepts of semantic measure and partial semantic measure are introduced in this paper for the first time. The results of such characteristics computing on the example of ten popular search systems are obtained. The proposed approach to evaluate the quality of information search systems has allowed to generate a criterion for testing the ability of pertinent documents issue.

Descriptor, information search, semantic relations, paradigmatic relations, information retrieval systems.

2013_ 4

Sections: Artificial intelligence system

Subjects: Artificial intelligence, Information systems.


Pavel Sergeevich Zhukov, Belgorod State Institute, Post-graduate Student at the Deartment of Library science, Bibliography and Bibliology of Belgorod State Institute of Art and Culture; author of articles in the field of automated library systems. [e-mail: ]P. Zhukov,

Sergey Evgenyevich Savotchenko, Belgorod State Institute, Doctor of Physics and Mathematics, Professor; graduated from the Faculty of Physics of Kharkov State University; Professor at the Deartment of Computer science and information and analytical resources of Belgorod State Institute of Art and Culture; author of articles in the field of mathematical modeling, information technologies, and automated library systems. [e-mail: savotchenko@hotbox.ru]S. Savotchenko

Modeling of Information Search in the Database With Semantic Relations 32_3.pdf

The article presents a an information search model based on using descriptors which enables to consider the boundaries of sets as being inexplicit. The queries concept membership functions are defined. The approach considered by the use of semantic relations enables to form boundary sets of both documents corresponding to the descriptors and documents not quite corresponding to a query, but which may be enabled in the future.

Descriptor, information search, semantic relations, paradigmatic relations, information retrieval systems.

2013_ 2

Sections: Mathematical modeling, calculi of approximations and software systems

Subjects: Artificial intelligence, Information systems.


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