The ontology of the enlarged geological and economic assessment of a mineral resource facility
Abstract Mineral resources are one of the basic elements in the economic system of a state. That is why issues of the rational use of natural resources and the subsoil use, in particular, are in the sphere of the constant attention both by state bodies and by subsoil user enterprises. Information about the subsurface is replenished by conducting the geological exploration, subsequent interpretation of its 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 the automated preparation of analytical information to support management decision-making. To eliminate this problem, it is advisable to use an ontological approach. Its essence in this case boils down to the construction of causal relationships between elements (entities) and fillingthe resulting ontological model with factual information about the geological and economic indicators obtained as a result of the work carried out. This article investigates the work structure and the sequence of the process of conducting an enlarged geological and economic assessment of solid mineral deposits based on the ontology of geological and economic assessment of mineral resource base objects.
Keywords: geological and economic assessment, mineral resource potential, ontological approach
Highlights:
♦ the ontological model defines the structure and the sequence of work on the geological and economic assessment of mineral resources;
♦ conducting a geological and economic assessment involves a regional geological study, then conducting prospecting, evaluation, exploration and additional exploration;
♦ as a result of the geological and economic assessment, all the analyzed objects can be ranked accord-ingtoan integral indicator.
Valery S. Dadykin, Olga V. Dadykina, Natalia V. Odinochenkova - Bryansk State Technical University, Bryansk, Russia; Sofya S. Stukanova - National Research University of Electronic Technology, Moscow, Russia