Abstract
The article reviewed the issues of economic and mathematical modeling of the process of knowledge acquisition in the knowledge bases of the technological risk management system, taking into account the need to determine methods and approaches to their replenishment. An attempt was made to describe and solve the problem of acquiring knowledge that arises when solving such tasks within the framework of the functioning of the technological risk management system. The author’s interpretation of the concept of “obtaining knowledge in intellectual system” and, on this basis, strategies for acquiring knowledge are formulated, based on a specific set of rules. Formation Strategies allowed to describe and visualize the process of knowledge transfer from an expert to the knowledge base, as well as the domain formation algorithm in the form of interactive dialogue “knowledge base - expert” with the aim of forming the domain structure. As a result of the implementation of this algorithm a global object is created in the knowledge base which is based on the attribute name and sets of its meanings. During algorithm operations the initial knowledge base is filled with terms about specific subject area. The semantic relations are determined in the direct acquisition of knowledge in the knowledge base of the system for managing the technological risks of business entities with the aim of constructing a heterogeneous semantic network.
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Litvinsky, K., Aretova, E. (2020). The Formation of Data Bases at the Technogenic Risk Management System. In: Antipova, T., Rocha, Á. (eds) Digital Science 2019. DSIC 2019. Advances in Intelligent Systems and Computing, vol 1114. Springer, Cham. https://doi.org/10.1007/978-3-030-37737-3_9
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DOI: https://doi.org/10.1007/978-3-030-37737-3_9
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