Application of machine learning demonstrates improved economic assessment of mineral resources, indicating enhanced evaluation methods.
The article considers the results of a study on the application of an ontological approach to economic assessment of the mineral resource potential of the deposit. The subject area of the research is the economic assessment of the mineral resource potential of the deposit through the application of an ontological approach. The object of research is the sphere of subsurface use mainly in terms of solid minerals, including common types of raw materials, as well as in terms of groundwater. The purpose of the research is to apply machine learning technologies and data analysis to conduct an economic assessment of the mineral resource potential. The author suggests the attributive composition of the economic assessment of the mineral resource potential of the deposit using an ontological model. The use of this technique makes it possible to include both quantitative and qualitative characteristics of the research object in the integral indicator evaluation model.
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Dadykin et al. (2025) studied this question.
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