A new approach to the formal explicit specification of knowledge acquisition

Abstract

Abstract. The decision-making process in many subject areas is a rather nontrivial problem. The use of “smart systems” to support decision-making processes requires new approaches to knowledge acquisition and storage. A new concept of building models of model knowledge is described. At the heart of the concept is the assertion that knowledge is displayed in the form of a hierarchical combination of multiparametric models. A comprehensive analysis of existing approaches to knowledge work and the choice of their presentation model is envisaged. In accordance with the methodology proposed by the authors for the creation of models of model knowledge, a new method of ontological modeling is described. This method is based on fundamentally new approaches to the formation of a model of presentation of knowledge, to the construction of the architecture of the bases of model knowledge and the intellectual system as a whole. This allows to expand significantly the functionality of intelligent systems, including monitoring intelligent systems, automate the processes of synthesis of models and global functional dependencies, reduce the influence of the subjective judgments of the researcher on the results of data conversion. The results of investigations of ontological modeling methods used for formalization and systematization of elements of global functional dependences, which combine models of objects of observation, are described. These models are solutions to local problems of information transformation in selected subject areas. Depending on the purpose of the intellectual system, a combination of global functional dependencies is realized at the highest level, and thus the formation of the structure of the base model knowledge. Using the strategy of coordination of elements, which is used by the monitoring intellectual system, allows to form synergies between individual local models in the structure of global functional dependence and between the global functional dependencies at the highest level of the model knowledge base.