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Modeling the process of searching for operationally significant information from open state information resources

https://doi.org/10.21822/2073-6185-2021-48-4-123-132

Abstract

Objective. The purpose of the study is to increase the effectiveness of measures to identify, investigate and disclose offenses and crimes based on the analysis of Internet resources in order to identify and structure information suitable for intellectual analysis; identify relationships between data categories, develop a model for obtaining operationally significant information from open government information resources.
Method. The study is based on the use of statistical analysis to describe the general structure of information about an individual posted in official state information resources. A categorized list of relevant web resources containing operationally significant information about a person or subject of a crime is compiled on the basis of expert assessments of law enforcement officers. To determine the relationships between data categories, a graphical-analytical method for studying information flows was used, and a graph model for obtaining operationally significant information from open state information resources was built.
Result. The results of the analysis of Internet resources in order to identify information suitable for intellectual analysis are presented, their structuring is carried out, relationships between data categories are identified, and a model for obtaining operationally significant information from open state information resources is developed.
Conclusion. The conducted system analysis of the state information resources of the Internet made it possible to identify the relationship between the categories of data and use them to obtain operationally significant information from open state information resources. In practice, the constructed model can be used to optimize fuzzy search. To solve this problem, it seems possible to use Kohonen neural networks or Hamming algorithms. The apparatus of neural networks will allow you to determine patterns and optimize the search for operationally significant information.

About the Authors

E. Yu. Nikulina
Voronezh Institute of the Ministry of Internal Affairs of Russia
Russian Federation

Ekaterina Yu. Nikulina, Cand. Sci. (Eng.), Assoc. Prof., Assoc. Prof., Department of Automated Information Systems of Internal Affairs Bodies 

53 Patriotov Ave., Voronezh 394065



L. A. Obukhova
Voronezh Institute of the Ministry of Internal Affairs of Russia
Russian Federation

Lyudmila A. Obukhova, Cand. Sci. (Eng.), Assoc. Prof., Department of Automated Information Systems of Internal Affairs Bodies 

53 Patriotov Ave., Voronezh 394065



E. A. Rogozin
Voronezh Institute of the Ministry of Internal Affairs of Russia
Russian Federation

Evgeny A. Rogozin, Dr. Cand. Sci. (Eng.), Prof., Prof., Department of Automated Information Systems of Internal Affairs Bodies 

53 Patriotov Ave., Voronezh 394065



References

1. Ishin A.M. Modern problems of using the Internet in the investigation of crimes. [Vestnik Baltijskogo federal'nogo universiteta im. I. Kanta]. Bulletin of the Baltic Federal University. 2013; 9: 116–123. (In Russ)

2. About information, information technologies and information protection: Feder. Law of July 27, 2006 No. 149-FZ (as amended on July 13, 2015). Collected. legislation Ros. Federation. 2006; 31 (1). Art. 3448. (In Russ)

3. About personal data: feder. Law of July 27, 2006 No. 152-FZ (as amended on July 21, 2014). Collected. legislation Ros. Federation. 2006; 31(1 ). Art. 3451. (In Russ)

4. Gasanov Je. Je. Complexity theory of information retrieval. M.: Publishing House of the Mechanics and Mathematics Faculty of Moscow State University, 2005. (In Russ)

5. Emelchenkov E. P., Kiseleva O. M. On the representation of subject areas using semantic networks. NovaInfo.Ru. 2016; 2(42): 17 - 23. (In Russ)

6. Kozlov S. V. Using the Galois correspondence as a content selection invariant in the design of information systems. [Sovremennye informacionnye tehnologii i IT-obrazovanie]. Modern information technologies and IT education. 2015; 2. (11): 220-225. (In Russ)

7. Kozlov S. V. Mathematical aspects of choosing the optimal set of test tasks for an individual test. Psychology, sociology and pedagogy. 2014. No. 9 (36) [Electronic resource]. URL: http://psychology.snauka.ru/2014/09/3603.

8. Kozlov S. V. Application of the Galois correspondence for data analysis in information systems. [Traektorija nauki] Trajectory of Science. 2016; 2(3) (8): 18. (In Russ)

9. Kudrjavcev V. B., Gasanov Je. Je., Podkolzin A. S. Introduction to the theory of intelligent systems. M .: Publishing house of the faculty of VMiK MGU, 2006. (In Russ)

10. Plotinskij Ju.M. Models of social processes: Textbook for higher educational institutions. Ed.2nd, revised. and additional. M.: Logos, 2001; 296. (In Russ)

11. Kucherenko N. S. Complexity of searching for identical objects for random databases [Intellektual'nye sistemy]. 2007; 11(1-4): 495–516. (In Russ)

12. Gasanov Je. Je. Funkcional'no-setevye bazy dannyh i sverhbystrye algoritmy poiska. M.: Izd. centp RGGU, 1997. (In Russ)

13. Gasanov Je. Je. Information-graph model in database theory [Matematicheskie voprosy kibernetiki] Mathematical issues of cybernetics. 2001; 10: 225 – 234. (In Russ)

14. Gasanov Je. Je. Information-graph model of data storage and retrieval. [Intellektual'nye sistemy] Intelligent Systems 1998; 3(3- 4): 16– 192. (In Russ)

15. Gasanov Je. Je. Instantly Solvable Search Problems. [Diskretnaja matematika] Discrete Mathematics. 1996; 8(3): 119 –134. (In Russ)

16. Kozlov S. V. Interpretation of graph theory invariants in the context of the application of the Galois correspondence in the creation and maintenance of information systems. International Journal of Open Information Technologies. 2016; 4(7): 38-44. (In Russ)

17. Nikulina E.Ju. Decomposition of graph models of information systems. [Vestnik Voronezhskogo instituta MVD Rossii] Bulletin of the Voronezh Institute of the Ministry of Internal Affairs of Russia. 2009; 4: 126 – 131. (In Russ)

18. Nikulina E.Ju. The use of a graph model for solving a general problem of scheduling theory [Vestnik Voronezhskogo instituta vysokih tehnologij] Bulletin of the Voronezh Institute of the Ministry of Internal Affairs of Russia. 2009; 5: 41-43. (In Russ)

19. Nikulina E.Ju. Development of a model for choosing options for upgrading a distributed information system of internal affairs . Voronezh Institute of the Ministry of Internal Affairs of Russia [Vestnik Voronezhskogo instituta MVD Rossii]. Bulletin of the Voronezh Institute of the Ministry of Internal Affairs of Russia. Voronezh: Voronezhskij institut MVD Rossii. 2007; (4): 156- 160. (In Russ)

20. Silov V. B. Making strategic decisions in a fuzzy environment. INFO-PRESS. 1995; 228. (In Russ)

21. Harina A.A. On the reduction of fuzzy information retrieval to higher-dimensional information retrieval. [Intellektual'nye sistemy] Intelligent Systems. 2005; 9(1-4): 57–76. (In Russ)

22. Shutkin Ju. S. Synthesis of Information Graphs for Precomplete Classes of Boolean Functions.[Intellektual'nye sistemy] Intelligent Systems. 2007; 11, (1-4):. 689–604. (In Russ)


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For citations:


Nikulina E.Yu., Obukhova L.A., Rogozin E.A. Modeling the process of searching for operationally significant information from open state information resources. Herald of Dagestan State Technical University. Technical Sciences. 2021;48(4):123-132. (In Russ.) https://doi.org/10.21822/2073-6185-2021-48-4-123-132

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ISSN 2073-6185 (Print)
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