[目的/意義]面向突發事件的應急決策是目前國家所急需的,提升到用于應急決策的高度,必須適應信息量大、精確性高、跨領域多的快速響應要求,形成知識庫協同架構有序、高效、及時地提供應急解決方案。[方法/過程]運用知識組織理論與方法,首先由情景演化與知識庫映射規則的深層知識發現,研究面向情景演化問題特征知識表示,并刻畫情景的語義知識獲取,給出面向應急決策的知識庫協同架構;其次,研究面向問題特征的特征詞典構建,從分類詞表構建方法與各類突發事件分級、分期標準制定兩個方面加以探討;最后深入研究基于情景推演的知識庫協同及基于情景驅動的知識推理計算。[結果/結論]最終解決單一知識庫難以克服應急決策的多領域、演化的難題。

[Purpose/significance] Currently,the emergency decision-making of unexpected events is a major demand of the country,which should be improved to the level of emergency decision,adapt to rapid response requirements of mass information,high precision,and cross disciplines,as well as provide emergency solutions orderly,efficiently,and timely under the structure of knowledge base collaboration. [Method/process]Firstly,using the knowledge organization theory and methods,this paper uses deep knowledge discovery from scenario evolution and mapping rules of knowledge base to study the knowledge representation oriented to problem features in scenario evolution,and to describe the semantic knowledge acquisition of the scenario. The collaborative architecture of knowledge base for emergency decision-making is proposed. Secondly,the paper constructs the feature dictionary for problems from both the methods of vocabulary classification and the standards of classification and staging for various emergencies. Finally,the paper carries out thorough research on knowledge base collaboration based on scenario deduction,and scenario-driven knowledge reasoning and calculation. [Result/conclusion] The problem that a single knowledge base cannot overcome the multi-field and evolution problems of emergency decision is solved.