ISSN 1991-2927
 

ACP № 3 (57) 2019

Dynamics of Semantic Measure of Search Query Results

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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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: This email address is being protected from spambots. You need JavaScript enabled to view it. ]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.

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