The problems of rational use of natural resources and subsoil, in particular, are in the sphere of constant attention both from state bodies and from subsoil using enterprises. The data about the subsoil is enlarged by conducting geological exploration, subsequent interpretation of their results, submission of reports and other accompanying documents to the relevant geological information funds. However, the accumulation of primary and interpreted geological information does not contribute to the formation of a unified knowledge base that could allow to prepare analytical information automatically to support management decision-making. To eliminate this problem, it is advisable to use an ontological approach. In this case it is connected with the construction of cause-effect relations between elements (entities) and filling the resulting ontological model with factual information about the geological indicators obtained as a result of the work carried out. The task of using automated information systems to assess the efficiency of subsoil areas is also becoming very relevant. This is due to the increasing role of expert information and analytical systems in the structure of software products used for analyzing the results of geological exploration and determining new priorities in the research of mineral resources of solid minerals and groundwater for the needs of the region. The decrease in the number of geologists in this field leads to the need to design a system of geological assessment of the prospects of subsoil areas based on an ontological approach. The application of ontology is aimed to reproduce the chain of decision-making by an expert, but in a new view based on associative relations and empirical rules.
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Dadykin et al. (2024) studied this question.
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