城市关键基础设施网络脆弱性关联分析的知识本体配置  

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

作　　者：刘昭阁 李向阳[2] 朱晓寒 LIU Zhaoge;LI Xiangyang;ZHU Xiaohan(School of Public Affairs,Xiamen University,Xiamen 361005,China;School of Management,Harbin Institute of Technology,Harbin 150001,China;Administrative Committee of Wuhan East Lake High-tech Development Zone,Wuhan 430075,China)

机构地区：[1]厦门大学公共事务学院,厦门361005 [2]哈尔滨工业大学经济与管理学院,哈尔滨150001 [3]武汉东湖新技术开发区管委会,武汉430075

出　　处：《系统工程理论与实践》2023年第1期222-233,共12页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金大数据驱动的管理与决策研究重大研究计划(91746207);国家自然科学基金面上项目(71774043);教育部人文社会科学研究青年基金(22YJC630095)。

摘　　要：城市关键基础设施网络(critical infrastructure networks, CIN)之间具有密切耦合的关联关系,系统分析城市CIN关联失效的脆弱性具有重要现实意义,却面临责任组织间信息差异带来的知识鸿沟困境.本文考虑跨组织的知识交互共享,提出一种城市CIN脆弱性关联分析的本体配置方法.本体配置的核心是通过嵌入特征集对分析的情景本体映射,传递关联组织脆弱性分析的灾害情景信息以带动本组织情景描述的更新与完善.面向灾害映射情景,利用规则推理激活关联本体与识别CIN关联失效,从时间差和情景差出发重用评价本体与生成关联脆弱性结果.用例结果表明:所提方法有助于通过及时有效的组织沟通实现关键知识传递,由此提升CIN脆弱性关联分析的系统性和时效性;同时,该方法能够消减跨组织知识的语义障碍,促进知识的有效集成.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.

关 键 词：关键基础设施 脆弱性分析 关联失效 知识交互 本体配置 

分 类 号：X913.4[环境科学与工程—安全科学]