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作 者:王芳[1] 杨京[1,2] 徐路路 Wang Fang;Yang Jing;Xu Lulu(Department of Information Resources Management,Business School,Nankai University,Tianjin 300071;The Secondry Intermediate Peoples Court of Tianjin,Tianjin 300210)
机构地区:[1]南开大学商学院信息资源管理系,天津300071 [2]天津市第二中级人民法院,天津300210
出 处:《情报学报》2020年第9期914-925,共12页Journal of the China Society for Scientific and Technical Information
基 金:提升政府治理能力大数据应用技术国家工程实验室2017—2018年度开放基金重点支持项目“基于NLP和深度学习的大规模政府公文智能处理技术研究”;国家社会科学基金重大项目“基于数据共享与知识复用的数字政府智能化治理研究”(20ZDA039);国家自然科学基金重点项目“现代社会治理的组织与模式研究”(71533002)。
摘 要:火灾是威胁人民生命财产安全的多发性突发事件之一。大数据时代火灾突发事件报道数量呈指数增长,如何在海量的火灾报道中对知识进行获取、抽取与表示,形成火灾应急知识库,以此来指导火灾应急管理工作智能化的开展,成为影响我国应急管理能力提升的关键因素之一。本文在文本挖掘的基础上构建了面向火灾应急管理的本体模型FEO (fire emergency ontology)。首先,基于领域专家指导,构建火灾应急上位本体FE-SUMO;然后,从火灾突发事件、燃烧要素、燃烧结果、火灾应急组织、火灾应急资源、火灾应急角色等方面建立FEO概念、关系、函数、公理和实例的五元组,选择Protégé对火灾应急本体进行实现;最后,通过定性评价和OntoQA定量评价两种方法对所构建的火灾应急本体的有效性和完整性进行了验证。Fire outbreak is one of the main emergencies that threaten lives and properties.The number of reports of fire emergencies has increased exponentially in the big data era.Determining how to acquire,extract,and represent knowledge from a large set of fire reports and forming a fire emergency knowledge base to guide the intelligent development of fire emergency management work have become key factors in the effort to improve Chinas emergency management capability.This paper constructed an ontology model called FEO for fire emergency management.First,based on the guidance of domain experts,the fire emergency upper body FE-SUMO was constructed;then,the five-tuple of FEO consisting of concepts,relationships,functions,axioms and examples was established from fire emergencies,combustion factors,combustion results,fire emergency organization,fire emergency resources,fire emergency roles,and so on.The FEO was implemented using the ontology construction tool Protégé.Finally,the validity and integrity of the constructed fire emergency ontology was verified by qualitative evaluation and OntoQA quantitative evaluation.
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