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Knowledge model for emergency response based on contingency planning system of China

China is severely exposed to natural hazards. Currently, there are more than 5.5 million contingency plans for handling various incidents. Similar to those produced in other counties, the paper-based plans in China are limited in that emergency responders cannot easily extract helpful information fo...

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Detalles Bibliográficos
Autores principales: Ni, Zi-jian, Rong, Lili, Wang, Ning, Cao, Shuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111278/
https://www.ncbi.nlm.nih.gov/pubmed/32287831
http://dx.doi.org/10.1016/j.ijinfomgt.2018.10.021
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author Ni, Zi-jian
Rong, Lili
Wang, Ning
Cao, Shuo
author_facet Ni, Zi-jian
Rong, Lili
Wang, Ning
Cao, Shuo
author_sort Ni, Zi-jian
collection PubMed
description China is severely exposed to natural hazards. Currently, there are more than 5.5 million contingency plans for handling various incidents. Similar to those produced in other counties, the paper-based plans in China are limited in that emergency responders cannot easily extract helpful information for them. In this paper, a knowledge-based system will be proposed for providing different stakeholders with helpful information in the emergency response. The conceptual model is the core for the whole system, which can link plans in the physical world and the ontology in the cyber world.
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spelling pubmed-71112782020-04-02 Knowledge model for emergency response based on contingency planning system of China Ni, Zi-jian Rong, Lili Wang, Ning Cao, Shuo Int J Inf Manage Article China is severely exposed to natural hazards. Currently, there are more than 5.5 million contingency plans for handling various incidents. Similar to those produced in other counties, the paper-based plans in China are limited in that emergency responders cannot easily extract helpful information for them. In this paper, a knowledge-based system will be proposed for providing different stakeholders with helpful information in the emergency response. The conceptual model is the core for the whole system, which can link plans in the physical world and the ontology in the cyber world. Elsevier Ltd. 2019-06 2018-11-27 /pmc/articles/PMC7111278/ /pubmed/32287831 http://dx.doi.org/10.1016/j.ijinfomgt.2018.10.021 Text en © 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ni, Zi-jian
Rong, Lili
Wang, Ning
Cao, Shuo
Knowledge model for emergency response based on contingency planning system of China
title Knowledge model for emergency response based on contingency planning system of China
title_full Knowledge model for emergency response based on contingency planning system of China
title_fullStr Knowledge model for emergency response based on contingency planning system of China
title_full_unstemmed Knowledge model for emergency response based on contingency planning system of China
title_short Knowledge model for emergency response based on contingency planning system of China
title_sort knowledge model for emergency response based on contingency planning system of china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111278/
https://www.ncbi.nlm.nih.gov/pubmed/32287831
http://dx.doi.org/10.1016/j.ijinfomgt.2018.10.021
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