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Data and knowledge base on the basis of the expanded matrix model of their representation for the intelligent system of road-climatic zoning of territories A. Yankovskaya, D. Cherepanov, O. Selivanikova

By: Yankovskaya, Anna EfimovnaContributor(s): Cherepanov, D | Selivanikova, OMaterial type: ArticleArticleSubject(s): матричные модели | информационные технологии | базы данных | интеллектуальные системы | районирование территорий | автомобильные дороги | Климатические зоныGenre/Form: статьи в журналах Online resources: Click here to access online In: IOP Conference Series: Materials Science and Engineering Vol. 142. P. 012041 (1-6)Abstract: An extended matrix model of data and knowledge representation on the investigated area, as well as a matrix model of data representation on the territory under investigation, are proposed for the intelligent system of road-climatic zoning of territories (RCZT) - the main information technology of RCZT. A part of the West Siberian region has been selected as the investigated territory. The extended matrix model of knowledge representation is filled out by knowledge engineers with participation of highly qualified experts in the field of RCZT. The matrix model of data representation on the territory under investigation is filled out by persons concerned in RCZT of the motor-roads management system.
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An extended matrix model of data and knowledge representation on the investigated area, as well as a matrix model of data representation on the territory under investigation, are proposed for the intelligent system of road-climatic zoning of territories (RCZT) - the main information technology of RCZT. A part of the West Siberian region has been selected as the investigated territory. The extended matrix model of knowledge representation is filled out by knowledge engineers with participation of highly qualified experts in the field of RCZT. The matrix model of data representation on the territory under investigation is filled out by persons concerned in RCZT of the motor-roads management system.

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