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清华大学学报(自然科学版)  2014, Vol. 54 Issue (2): 149-152    
  论文 本期目录 | 过刊浏览 | 高级检索 |
突发事件案例表示方法
黄超,黄全义(),申世飞,疏学明
 
Representation of emergency case information
Chao HUANG,Quanyi HUANG(),Shifei SHEN,Xueming SHU
Department of Engineering Physics, Tsinghua University, Beijing 100084, China
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摘要 

案例表示是案例推理的基础,突发事件案例涉及到大量非结构化的信息,如何有效地将海量信息整合成案例是案例表示的关键。该文针对中国突发事件的特点,结合信息来源,给出了突发事件案例应包括的要素,针对结构化信息和非结构化信息提出了不同的表示方法。对于结构化信息,使用模糊集合的方法定量表示,以隶属度函数代替单一的数值; 对于非结构化的文本信息,通过对3种关键词提取方法的比较研究,选择了基于词语共现概率的改进方法提取关键词,利用提取结果进行信息抽取。整个案例被表示成包含定量化数据和抽取文本的半结构化形式,前者主要用于案例匹配,后者记录了案例的详细内容,用于提供决策支持。这种表示方法为进一步的案例推理奠定了基础。

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作者相关文章
黄超
黄全义
申世飞
疏学明
关键词 突发事件案例推理案例表示模糊集合信息抽取    
Abstract

Case representation is the basis for case-based reasoning. The representation should efficiently organize large amounts of information which is usually unstructured information, related to the emergency cases. This paper describes the attributes that should be included in emergency case descriptions with a case framework based on analyses of emergency events and information with both structured and unstructured information. The structured information uses fuzzy sets to describe the non-quantitative data using memberships instead of numerical values. The unstructured information is analyzed by three algorithms for keyword extraction with the word co-occurrence approach chosen as the best. The extracted keywords are then used to obtain the proper information segments for the unstructured part of the emergency case. The whole case is represented in a semi-structured form with quantitative attributes used in the case retrieval and text data used in the case reasoning. The results show that this approach gives good results as a foundation for case-based reasoning applications.

Key wordsemergency event    case-based reasoning    case representation    fuzzy sets    information extraction
收稿日期: 2013-01-17      出版日期: 2014-02-15
ZTFLH:     
基金资助:国家自然科学基金项目 (71073094, 91024032);国家 “十二五” 科技支撑计划项目 (2011BAK07B01)
引用本文:   
黄超, 黄全义, 申世飞, 疏学明. 突发事件案例表示方法[J]. 清华大学学报(自然科学版), 2014, 54(2): 149-152.
Chao HUANG, Quanyi HUANG, Shifei SHEN, Xueming SHU. Representation of emergency case information. Journal of Tsinghua University(Science and Technology), 2014, 54(2): 149-152.
链接本文:  
http://jst.tsinghuajournals.com/CN/  或          http://jst.tsinghuajournals.com/CN/Y2014/V54/I2/149
  隶属度函数
  案例信息抽取框架
日期 07-23 07-24 07-25 07-26 07-27 07-28
数量 18 178 713 929 743 740
  新闻报道数量结果
事件描述 应急措施
动车 医院
事故 铁道部
脱轨 赶赴
雷击 盛光祖
停车 官兵
遇难 抢救
…… ……
  关键词抽取结果
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