|Title of the article||
ARCHITECTURE AND PRINCIPLES OF SELF-LEARNING OF ENGINEERING AND DESIGN EXPERT SYSTEMS BASED ON KNOWLEDGE USING MONITORING OF INTERNET
Averchenkov Andrey Vladimirovich, Doctor of engineering sciences, associate professor, senior staff scientist, Institute of engineering and design informatics of the Russian Academy of Sciences (building 1a, 18 Vadkovsky lane, Moscow, Russia), email@example.com
Background. Most of modern intelligent systems based on knowledge use ontologies. The quality of such systems depends on the quality of the ontologies used - their relevance, integrity and consistency. Creation and extension of ontologies are an extremely time-consuming process requiring maximum automation. The article discusses approaches to building of engineering and design expert systems based on knowledge that are capable of building their own domain knowledge using information from the Internet. Under the approach it is proposed to use the closed cycle in which the system automatically learns to find high quality documents within the domain by using ontology and preferences of the experts, as well as extends ontology by knowledge extracted from the retrieved documents.
expert systems, databases, extention of ontologies, monitoring of Internet, learning of ontologies.
1. Averchenkov V. I. Vestnik Bryanskogo gosudarstvennogo tekhnicheskogo universiteta [Bulletin of Bryansk State Technical University]. 2011, no. 2 (30), pp. 101–110.
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