基于领域知识图谱的应急处置预案动态融合
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国家重点研发计划(2018YFC0831504);中国科学院青年创新促进会


Dynamic Fusion of Emergency Response Plan Based on Domain Knowledge Graph
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    摘要:

    随着与社区矫正对象有关的突发事件情况的日益复杂, 从已有应急预案库中匹配得到的单一固定方案无法通过动态注入数据为不同的异常情景制定智能化应急处置预案, 难以满足应急决策所需. 为了提高社区服刑监管质量以及信息化监管水平, 本文针对异常情景数据的多源异构、复杂关联和动态演化等特点, 对多源异构数据进行联合挖掘, 构建司法领域知识图谱(KGjudicial)与犯罪事理图谱(ELGcrime), 为智能化应急预案的动态生成提供数据基础与辅助决策支持. 此外, 针对跨区域、多部门应急协同处置的实际业务需求, 本文探究多部门信息协同方法以及应急处置预案的动态对接机制. 结合司法领域知识图谱与犯罪事理图谱提出多部门应急处置预案融合技术, 实现司法行政跨区域联合执法, 提高社区服刑监管质量, 节约社区矫正对象管理成本, 为司法行政多部门的应急处置提供技术支持, 维护社会长治久安.

    Abstract:

    With the increasing complexity of emergencies related to the community correction object, the single fixed plan from the existing emergency plan database is unable to develop intelligent emergency response plans for different abnormal situations through dynamic data injection, which can hardly meet the demands of dynamic emergency generation. To improve the supervision quality and the informational management level of community correction object, we adopt the joint mining technology of multi-source heterogeneous data, in view of multi-source heterogeneity, complex association and dynamic evolution of abnormal situation data. On this basis, we build our judicial Knowledge Graph (KGjudicial) and crime Event Logic Graph (ELGcrime), providing data basis and auxiliary decision support for the dynamic generation of intelligent emergency plans. In addition, considering the actual business requirements for cross-regional multi-sectoral emergency coordination, we explore the multi-department information alignment method and the dynamic injection mechanism of emergency response plans. We propose the fusion technology of multiple-department emergency response plans based on our KGjudicial and ELGcrime to realize the cross-regional joint law enforcement of judicial administration departments and improve the supervision quality, while saving the management cost of community correction object. We provide technical support for the emergency response of multiple departments of judicial administration, contributing to the social security and stability.

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许晶航,闫碧莹,陈峰,曹娅琪.基于领域知识图谱的应急处置预案动态融合.计算机系统应用,2021,30(8):1-13

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  • 收稿日期:2020-11-11
  • 最后修改日期:2020-12-12
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  • 在线发布日期: 2021-08-03
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