基于环境感知的应急响应知识需求研究

项目名称： 基于环境感知的应急响应知识需求研究

项目编号： No.70871061

项目类型： 面上项目

立项/批准年度： 2009

项目学科： 生物科学

项目作者： 黄卫东

作者单位： 南京邮电大学

项目金额： 24万元

中文摘要： 突发公共事件考验多元化和高密集性的城市综合承载能力，快速的应急响应需要依据专家知识整合各类有效资源并迅速准确地处置。据此应急系统知识管理的研究正成为国内外研究的热点。本课题紧扣应急响应知识管理中的关键：即知识的准确表达和有效推送，研究基于本体的应急知识表示，提出基于应急领域本体的语义模型和知识表示规范；从而构建应急预案数字化方案，并通过应急预案的实证分析研究专家知识积累、共享和组织模式；同时研究突发事件演化过程中，对环境变化感知的表达及其动态评估，提出基于动态感知的语境轮廓模型；在分析知识检索有效性的基础上，研究如何准确把握语境和用户知识需求，提出适用于环境感知的快速智能检索技术；结合应急处置案例的实证分析，研究应急处置方案的生成机制。为我国应急智能技术的研究做出有益的探索。

中文关键词： 知识检索；应急管理；知识需求；本体；环境感知

英文摘要： The city's comprehensive bearing capacity for the pluralism and high-intensity is facing great challenge by public emergency so that rapid emergency responses are needed to integrate various resources effectively and dispose accurately based on expert knowledge. Accordingly, the research on knowledge management of emergency system has become focus all over the world. Centering on the key to knowledge management of emergency responses, namely, accurate knowledge expression and effective knowledge push on, this issue does research on emergency knowledge expression based on ontology proposing semantic models and knowledge norms based on the domain ontology of emergency thus building up emergency plans for digital technology. This issue also does research through empirical analyses of emergency plans on expert knowledge of accumulation, sharing and organization model, putting forth a context profile model based on dynamic perception with the research on expression and dynamic assessment in the course of emergency evolution and the technology of rapid intelligent retrieval applied to environmental awareness so as to accurately meet context and user demand for knowledge on the basis of analysis of knowledge retrieval effectiveness. Meanwhile, through empirical analyses of the emergency case this issue also studies the formation mechanism for emergency disposal and makes a profitable exploration of emergency intelligence technology in China.

英文关键词： Knowledge retrieval; emergency management; knowledge demand; ontology; environment perception