Control Systems and Computers

https://doi.org/10.15407/csc.2020.06.046

Control Systems and Computers, 2020, Issue 6 (290), pp. 46-54.

UDC 004.94

Halyna A. Pidnebesna, junior research scientist, Department for Technologies of Inductive Modelling, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov Ave., 40, Kyiv, 03187, Ukraine, pidnebesna@ukr.net

The Design of Inductive Modeling Tools Using Ontologies

The architecture of the GMDH-based inductive modeling tools is considered. A feature is the use of the knowledge base in the form of an ontology of the subject area of inductive modeling. The application of the ontological approach to the design of the knowledge base makes it possible to automatically acquire new knowledge, efficiently process information in the modeling of complex objects of different nature according to statistical data, generate queries and obtain logical inferences. Fragments of the GMDH-based inductive modeling ontology are given as an example of creating a formal description of the subject area. The Protégé onto editor was used to construct ontologies.

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Keywords: inductive modeling, GMDH, ontological approach, intelligent systems, Protégé 4.3.

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Received 23.11.2020