Tezt Information Eztraction and Aggregation in a Mobile-based Emergency Response System

摘要：

A mobile-based emergency response system (MERS), as one of the important Mobile Government (m-Government) services, aims to reduce risks in an emergency situation. This paper describes an algorithm within MERS applications to automatically extract information from SMS data based on an ontology concept, a maximum entropy statistical model, and a set of fuzzy rules. The algorithm has four main functions: collect unstructured information from Short Message Service (SMS) emergency text message; conduct information extraction and aggregation including lexical analysis, name entity recognition, merging structure, and normalization and duplication; calculate similarity of SMS text messages; and generate query and results presentation.

关键词： m-Government mobile-based systems emergency response systems information eztraction fuzzy rules

作者: Khaled Amailef Jie Lu Jun MA

作者单位: Faculty of Engineering and Information Technology University of Technology Sydney, Po Box 123 Broadw Faculty of Engineering and Information Technology University of Technology Sydney,Po Box 123 Broadwa Faculty of Engineering and Information Technology University of Technology Sydney, Po Box 123 Broadw

会议类型: 国际会议

会议名称: The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会)

会议地点: 北京

会议语种:英文

页码: 186-191

在线出版日期: 2009-10-19（万方平台首次上网日期，不代表论文的发表时间）