Application of ontology to solve problems of economic monitoring of subsurface use

   The article discusses the problem of improving the system of economic monitoring of subsurface use through the use of ontological models.

   The relevance of the research is due to the increasing complexity of project management in this area, the need to integrate heterogeneous data (geological, economic, environmental) into a single system, as well as the need to increase the validity of management decisions.

   The aim of the work is to develop an ontological model that provides structuring and semantic coherence of information for economic analysis tasks.

   To achieve this goal, it was necessary to solve a number of tasks: to formalize the conceptual framework of the subject area, build a hierarchy of classes, properties and axioms, develop mechanisms for extracting key economic indicators, and ensure integration with existing information systems for managing subsurface use.

   The research uses methods of ontological engineering, semantic modeling (OWL and RDF standards), and data integration technologies (D2RQ/R2RML). The validation of the model was carried out with the involvement of experts in the field of geological and economic analysis. The results include a formalized ontological model with a hierarchy of classes and axioms, a set of SPARQL queries for extracting economic indicators (cost of production, profitability of sites, investment attractiveness of deposits), as well as a demonstration of the integration of the model with information systems.

   The practical significance lies in the systematization of data, ensuring the semantic consistency of information and improving the quality of management decisions.

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