Semantic dimensions in assessing the quality of a resource

Petr Shalimov


The article discusses the concept of semantic information from the standpoint of quantitative assessment models. The author's information technology and a model for evaluating the semantic attributes of text resources are presented. The concept of semantic information environment is introduced as a tool for semantic measurements. Based on the use of models of the semantic information environment, a unit of measurement of semantic information - SU (semantic unit) has been introduced, as the maximum amount of information of a complete elementary environment.

Issues of semantic measurements are described, direct and derived indicators for evaluating semantic attributes, tools and information technology for conducting resource estimation operations are introduced. The principle of application of the proposed technology is stated on the example of the problem of comparing the semantic parameters of resources.

Full Text:

PDF (Russian)


Gurevich, I.M. Information as a universal heterogeneity / I.M. Gurevich // Inform. Technologies, 2010. - No. 4. - S. 66-74

Kobozeva I.M. Linguistic semantics. / THEM. Kobozeva // Ed. 7, rev. and add. URSS. 2021.360 p.

R.S. Gilyarevsky, “Informatics as a science of information”, Systems and means of inform., 2006, “Scientific and methodological problems of informatics”, 59–87

Khanzhin A.G., Cojocaru A.A. Revision of the concept of information // Scientific and technical information. Ser. 2. - 2008. - No. 6. - P. 1-9.

Chernavskaya O.D. Dynamic information theory as the basis of the natural constructivist approach to the modeling of thinking // Computer research and modeling. 2017 T. 9 No. 3 P. 433−447

Shreider, Yu.A. Semantics and categorization / Yu.A. Schreider // M .: Nauka, 1991 .-- 168 p.

Friedland A. Ya. On the essence of information: two approaches // Information technologies. - 2008. - No. 5. - P. 75-85

Lyubimtseva M.A. Factors Influencing the Time of Reading and Reading of Online Media Materials // Vestn. Moscow University. Ser. 10. Journalism 2020. No. 2. P. 53-77

Shalimov P.Yu. Models of a quantitative scale for evaluating semantic information // Automation and modeling in design and management № 2 (08) 2020. P. 24-32

GOST R ISO 11095-2007. Statistical methods. Linear Calibration Using Reference Samples

Biological encyclopedic dictionary. Access mode: (date of access: 20.03.2021).

Big encyclopedic dictionary. Access mode: (date of access: 20.03.2021).

Kiselev, Yu. A. The current state of electronic thesauri of the Russian language: quality, completeness and availability / Yu.A. Kiselev, S.M. Porshnev, M. Yu. Mukhin // Software Engineering, 2015. - No. 6. - P. 34–40.

Mikheeva SA The system of formalized criteria for evaluating a school textbook // Education Issues. 2015. No. 4. P. 147–183

Shpolyanskaya I.Yu., Seredkina T.A. Semantic Technologies in the Online Learning Support System // Applied Informatics. 2020.Vol. 15 No. 5. S. 52–61.

Romanova EV, Ensuring the quality of data in state information systems // Applied Informatics. 2017.Vol. 12 No. 5. S. 15–23.

MG Kreines, EM Kreines, “Matrix models of texts. Interpretation of models and experimental verification ”// Matem. modeling, 32: 7 (2020), 24–46

A.P. Mikhailov, N.A. Marevtseva. Models of information warfare // Mathematical modeling, 2011. v.23, no. 10, pp.19–32.

LE Mistrov, VP Morozov Terminological search in metrological information systems // Metrology. - 2017. - No. 1. - P. 33-40

Sardinha T. B. Segmenting corpora of texts // DELTA. 2002. Vol. 18. P. 273-286.

Fatma Deniz, Anwar O. Nunez-Elizalde, Alexander G. Huth and Jack L. Gallant. The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality. Journal of Neuroscience September 25, 2019, 39 (39) 7722-7736; DOI:


  • There are currently no refbacks.

Abava  Кибербезопасность FRUCT 2024

ISSN: 2307-8162