Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)

Research on Ontology Model of the Urban Critical Infrastructure System Interdependence

Authors
Shiying Wang, Xiangyang Li, Guanghua Yu
Corresponding Author
Shiying Wang
Available Online October 2018.
DOI
https://doi.org/10.2991/icpel-18.2018.115How to use a DOI?
Keywords
ontology, CIS, interdependency, top-level ontology, application ontology
Abstract
The paper uses ontology method to describe complex interdependency in urban Critical Infrastructure System (CIS). Through the literature review, existing research results have not been excavated the essential causes and influencing factors of the urban CIS interdependency formation. Because the complex network interdependencies in the urban CIS has deep connotation, and the complexity increases with the urban CIS scale. In the research of urban CIS interdependency, attributes such as interdependent nodes and interdependent edges should be taken seriously also, and the data and information contained in them should be refined. The ontology theory can meet above requirements. The paper establishes an interdependency ontology model to generally express the urban CIS interdependency.
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Proceedings
2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2018
ISBN
978-94-6252-605-1
ISSN
2352-5398
DOI
https://doi.org/10.2991/icpel-18.2018.115How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shiying Wang
AU  - Xiangyang Li
AU  - Guanghua Yu
PY  - 2018/10
DA  - 2018/10
TI  - Research on Ontology Model of the Urban Critical Infrastructure System Interdependence
BT  - 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/icpel-18.2018.115
DO  - https://doi.org/10.2991/icpel-18.2018.115
ID  - Wang2018/10
ER  -