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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30405
Title: Features of development of internet resource for supporting developers of intelligent decision support systems
Authors: Zagorulko, Yu. A.
Zagorulko, G. B.
Keywords: материалы конференций
information-analytical Internet resource
decision support system
weakly formalized area
Issue Date: 2018
Publisher: БГУИР
Citation: Zagorulko, Yu. A. Features of development of internet resource for supporting developers of intelligent decision support systems / Yu. A. Zagorulko, G. B. Zagorulko // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 63 – 66.
Abstract: The paper describes the approach to development of Internet resource providing support of building of Intelligent Decision Support Systems in weakly formalized areas. In this resource the ontology is used for the formalization and system- atization of knowledge, data, facilities for processing and analysis of information integrated in the resource, as well as the organi- zation of convenient content-based access to them. Therefore, the creation of the resource is mainly reduced to the development and population of its ontology. The paper discusses the methodology for developing such an ontology, which includes methods for constructing a target ontology based on a representative set of basic ontologies and ontology design patterns. It is shown that the use of ontology design patterns allows not only to save resources spent on the ontology development, but also to provide a consistent representation of all entities of the ontology, which in turn allows to increase the clarity of the ontology and minimize the number of errors of ontological modeling.
URI: https://libeldoc.bsuir.by/handle/123456789/30405
Appears in Collections:OSTIS-2018

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