Knowledge ontology configuration for vulnerability association analysis of urban critical infrastructure networks

LIU Zhaoge, LI Xiangyang, ZHU Xiaohan

Systems Engineering - Theory & Practice ›› 2023, Vol. 43 ›› Issue (1) : 222-233.

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中国科学院数学与系统科学研究院期刊网
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Systems Engineering - Theory & Practice ›› 2023, Vol. 43 ›› Issue (1) : 222-233. DOI: 10.12011/SETP2022-0045

Knowledge ontology configuration for vulnerability association analysis of urban critical infrastructure networks

  • LIU Zhaoge1, LI Xiangyang2, ZHU Xiaohan3
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Abstract

Urban critical infrastructure networks (CIN) are closely related. It is of great practical significance to systematically analyze the vulnerability of associated urban CIN failure. However, the vulnerability association analysis of CIN is faced with the dilemma of knowledge gap caused by the information differences between responsible organizations. Considering the knowledge interaction and sharing across organizations, this paper proposes an ontology configuration method for vulnerability association analysis of urban CIN. The core of ontology configuration is to transmit the disaster scenario information of related organizations through scenario ontology mapping with feature-level set pair analysis, so as to drive the updating and improvement of the organization's scenario description. For the mapped disaster scenarios, rule-based reasoning is used to activate ‘association ontology' and identify associated CIN failures. According to the time difference and scenario difference, ‘evaluation ontology' is reused to generate vulnerability association results. The use case results show that the proposed method is helpful to transfer key knowledge from different organizations through timely and effective organizational communication, which further improves its systematicness and timeliness of CIN vulnerability association analysis. At the same time, this method can reduce the semantic barriers of cross organizational knowledge and promote the effective integration of knowledge.

Key words

critical infrastructure networks / vulnerability analysis / associated failure / knowledge interaction / ontology configuration

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LIU Zhaoge , LI Xiangyang , ZHU Xiaohan. Knowledge ontology configuration for vulnerability association analysis of urban critical infrastructure networks. Systems Engineering - Theory & Practice, 2023, 43(1): 222-233 https://doi.org/10.12011/SETP2022-0045

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Funding

National Natural Science Foundation of China (91746207, 71774043); Humanities and Social Sciences Foundation of the Ministry of Education of China (22YJC630095)
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