Umantseva Olga Olegovna (The Academy of Management of the Interior Ministry of the Russian Federation )
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The article is devoted to analyzing the problems of automating expert activities in the investigation of biological traces in forensic science. The relevance of the topic is due to the growing need to accelerate and increase the accuracy of forensic examinations in the context of a rising number of crimes. The aim of the study is to identify the key barriers to implementing automated systems in the practice of analyzing biological traces and to determine possible ways to overcome them. The work utilizes methods of systems analysis, expert surveys, and statistical data processing. The empirical basis consists of the results of a survey of 150 forensic experts from 20 regions of Russia. It was found that the main obstacles to automation are insufficient formalization of expert knowledge (87% of respondents), a deficit of validated software (73%), and problems integrating heterogeneous data (69%). Measures have been proposed to standardize expert procedures, develop specialized software suites, and create a unified information environment for forensic laboratories. The obtained results are significant for optimizing expert activities and can be used in the creation of decision support systems in forensic science. Prospects for further research are related to the development of ontological models for representing expert knowledge and algorithms for the intelligent analysis of forensic data..
Keywords:forensics, biological traces, automation of examination, expert systems, data analysis, ontologies
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Citation link:
Umantseva O. O. BIOLOGICAL // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04. -С. 158-163 DOI 10.37882/2223-2966.2025.04.42 |
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