焦麟, 邢帅, 王丹菂, 卢万杰, 张鑫磊, 赵英豪. 面向生物危害应急响应的地理本体模型设计与构建[J]. 武汉大学学报 ( 信息科学版), 2021, 46(4): 586-594. DOI: 10.13203/j.whugis20190189
引用本文: 焦麟, 邢帅, 王丹菂, 卢万杰, 张鑫磊, 赵英豪. 面向生物危害应急响应的地理本体模型设计与构建[J]. 武汉大学学报 ( 信息科学版), 2021, 46(4): 586-594. DOI: 10.13203/j.whugis20190189
JIAO Lin, XING Shuai, WANG Dandi, LU Wanjie, ZHANG Xinlei, ZHAO Yinghao. A Biohazard Emergency Response Geo-ontology Model[J]. Geomatics and Information Science of Wuhan University, 2021, 46(4): 586-594. DOI: 10.13203/j.whugis20190189
Citation: JIAO Lin, XING Shuai, WANG Dandi, LU Wanjie, ZHANG Xinlei, ZHAO Yinghao. A Biohazard Emergency Response Geo-ontology Model[J]. Geomatics and Information Science of Wuhan University, 2021, 46(4): 586-594. DOI: 10.13203/j.whugis20190189

面向生物危害应急响应的地理本体模型设计与构建

A Biohazard Emergency Response Geo-ontology Model

  • 摘要: 生物危害应急响应是生物安全保障的重要组成部分,需要紧密围绕应急响应预案来组织实施。针对目前的应急响应预案知识组织研究尚不完善,现有的数据模型不能满足生物危害态势时空分析需要的问题,在ABC本体模型的基础上构建了生物危害应急响应地理本体模型(biohazard emergency response geo-ontology model,BEROM),并建立了用于应急决策推理的规则集。对北京市严重急性呼吸道综合征(severe acute respiratory syndrome,SARS)应急响应任务实例分析的结果表明,所提模型相较于传统方法能够更好地融合事件信息与预案知识,从而通过对模型的推理给出更有效的应急决策意见。应急响应预案智能构建的实现,为应急决策提供了一种新的知识模型,验证了模型的合理性和有效性。

     

    Abstract:
      Objectives  Emergency response for biohazard is an important part of biosafety support, which need to be organized and implemented around the emergency response plan. The current knowledge organization of emergency response plan is incomplete and the existing data models are unable to fully meet the needs of biohazard situation spatiotemporal analysis.
      Methods  A biohazard emergency response geo-ontology model (BEROM) was proposed based on the ABC (antecedent-behavior-consequence) ontology, and the rule set for emergency decision reasoning was built.
      Results  Compared with the traditional methods, the proposed model can better integrate event information and plan knowledge, and give more effective emergency decision-making opinions by reasoning.
      Conclusions  The intelligent construction of emergency response plan is realized, which provides a new knowledge model for emergency decision-making, and verifies the rationality and effectiveness of the model.

     

/

返回文章
返回