Ontological model of knowledge as the basis for automation of the process of distribution of quotas for the extraction of aquatic biological resources and control over the level of their development

Abstract

Objective. In this paper, the process of developing an ontological model of knowledge of state control bodies in the field of quotas for the extraction of aquatic biological resources is considered. The need to develop this model arose due to the insufficient level of automation of knowledge extraction from data collected and processed manually from eighteen territorial departments of the Federal Agency for Fisheries. Insufficient speed of collecting and processing data on the current level of industrial production of aquatic biological resources may cause incorrect planning during the subsequent distribution of catch quotas, which may lead to a decrease in biological diversity in the reservoirs of the Russian Federation with the subsequent loss of types of aquatic biological resources.Method. The study used methods of analysis of theoretical and regulatory documentation, analysis of statistical data, as well as secondary data analysis.Result. An object ontological model of knowledge of state control bodies in the field of quotas for the extraction of aquatic biological resources has been developed.Conclusion. The developed ontological model makes it possible to accelerate the extraction of knowledge from aggregated data on the level of distribution and development of quotas for catching aquatic biological resources, and also serves as the basis for creating a full-fledged information system for accounting for the extraction of aquatic biological resources and monitoring their population.