Integration of artificial neural networks and knowledge bases

Golovko, Vladimir Adamovich; Kroshchanka, Alexander Alexsandrovich; Golenkov, Vladimir Vasilyevich; Ivashenko, Valerian Petrovich; Kovalev, Mikhail Vladimirovich; Taberko, Valery Vasilyevich; Ivaniuk, Dzmitry Sergeevich

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Author

Golovko, Vladimir Adamovich
Kroshchanka, Alexander Alexsandrovich
Golenkov, Vladimir Vasilyevich
Ivashenko, Valerian Petrovich
Kovalev, Mikhail Vladimirovich
Taberko, Valery Vasilyevich
Ivaniuk, Dzmitry Sergeevich

Date

2018

Publisher

БГУИР

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Citation

Integration of artificial neural networks and knowledge bases / V. A. Golovko [et. al ] // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции, Минск, 15–17 февраля 2018 г. / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – P. 133–146. – Bibliogr.: p. 146 (14 titles).

Abstract

This article reviews the questions and directions of integration of artificial neural networks with knowledge bases. There are two main directions of integration: 1) the inputs and outputs of artificial neural network to use integration of knowledge bases and artificial neural networks for solutions of application problems; 2) by artificial neural network representation on the basis ofontological structures and its interpretation by means of knowledge processing in the knowledge base providing an intelligent environment for the development, training and integration of different artificial neural networks compatible with knowledge bases. The knowledge bases that are integrated with artificial neural networks are built on the basis of homogeneous semantic networks and multiagent approach to represent and process knowledge.