Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces
Abstract This article discusses the creation of methods and tools for decision-making information support for regional management systems in the context of ensuring environmental and technological security in the Arctic region. To implement information support for regional management, we propose to...
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crioppubl:10.1088/1755-1315/302/1/012139 2024-06-02T08:00:39+00:00 Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces Vicentiy, A V 2019 http://dx.doi.org/10.1088/1755-1315/302/1/012139 https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012139/pdf https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012139 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 302, issue 1, page 012139 ISSN 1755-1307 1755-1315 journal-article 2019 crioppubl https://doi.org/10.1088/1755-1315/302/1/012139 2024-05-07T13:59:01Z Abstract This article discusses the creation of methods and tools for decision-making information support for regional management systems in the context of ensuring environmental and technological security in the Arctic region. To implement information support for regional management, we propose to use information technology for spatial data visualization. This technology is used to synthesize cognitive interfaces of multi-subject information systems supporting regional management in the Arctic zone of the Russian Federation. The article describes the methodological support, composition and structure of information technology to identify implicit conflicts of environmental management based on the use of methods of conceptual and ontological modeling of the subject area, system analysis and theory of management of complex systems. The key elements of the technology are the conceptual model of the conflict situation of environmental management, the ontology of the subject area, the knowledge base and the cognitive user interface of the multi-subject information regional management support system for the Arctic territories. A brief classification of conflicts among the stakeholders of the Arctic region (using the example of the Murmansk region) is also described. The proposed technology allows to identify potential conflicts of environmental management, including the detection and identification of environmental and technological safety problems in the Arctic regions of the Russian Federation. Article in Journal/Newspaper Arctic IOP Publishing Arctic Murmansk IOP Conference Series: Earth and Environmental Science 302 012139 |
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Abstract This article discusses the creation of methods and tools for decision-making information support for regional management systems in the context of ensuring environmental and technological security in the Arctic region. To implement information support for regional management, we propose to use information technology for spatial data visualization. This technology is used to synthesize cognitive interfaces of multi-subject information systems supporting regional management in the Arctic zone of the Russian Federation. The article describes the methodological support, composition and structure of information technology to identify implicit conflicts of environmental management based on the use of methods of conceptual and ontological modeling of the subject area, system analysis and theory of management of complex systems. The key elements of the technology are the conceptual model of the conflict situation of environmental management, the ontology of the subject area, the knowledge base and the cognitive user interface of the multi-subject information regional management support system for the Arctic territories. A brief classification of conflicts among the stakeholders of the Arctic region (using the example of the Murmansk region) is also described. The proposed technology allows to identify potential conflicts of environmental management, including the detection and identification of environmental and technological safety problems in the Arctic regions of the Russian Federation. |
format |
Article in Journal/Newspaper |
author |
Vicentiy, A V |
spellingShingle |
Vicentiy, A V Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
author_facet |
Vicentiy, A V |
author_sort |
Vicentiy, A V |
title |
Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
title_short |
Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
title_full |
Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
title_fullStr |
Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
title_full_unstemmed |
Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces |
title_sort |
development of methods and tools to support regional management in the arctic zone of the russian federation based on cognitive interfaces |
publisher |
IOP Publishing |
publishDate |
2019 |
url |
http://dx.doi.org/10.1088/1755-1315/302/1/012139 https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012139/pdf https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012139 |
geographic |
Arctic Murmansk |
geographic_facet |
Arctic Murmansk |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
IOP Conference Series: Earth and Environmental Science volume 302, issue 1, page 012139 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/302/1/012139 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
302 |
container_start_page |
012139 |
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1800744735122391040 |