Earthquake Information Extraction and Comparison from Different Sources Based on Web Text

doi:10.3390/ijgi8060252

	Earthquake Information Extraction and Comparison from Different Sources Based on Web Text
	Han, Xuehua 1,2,3; Wang, Juanle 1,3,4
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2019-06-01
卷号	8 期号:6 页码:14
关键词	earthquake disaster web text information extraction spatiotemporal distribution China
ISSN号	2220-9964
DOI	10.3390/ijgi8060252
通讯作者	Wang, Juanle(wangjl@igsnrr.ac.cn)
英文摘要	Web text, using natural language to describe a disaster event, contains a considerable amount of disaster information. Automatic extraction from web text of this disaster information (e.g., time, location, casualties, and disaster losses) is an important supplement to conventional disaster monitoring data. This study extracted and compared the characteristics of earthquake disaster information from web news media reports (news reports) and online disaster reduction agency reports (professional reports). Using earthquakes in China from 2015 to 2017 as a case study, a series of rules were created for extracting earthquake event information, including temporal extraction rules, a location trigger dictionary, and an attribute trigger dictionary. The differences in characteristics of news reports and professional reports were investigated in terms of their quantity and spatiotemporal distribution through statistical analysis, geocoding, and kernel density estimation. The information extracted from each set of reports was also compared with authoritative data. The results indicated that news reports are more extensive and have richer information. In contrast, professional reports are less repetitive as well as more accurate and standardized, mainly focusing on earthquakes with Ms >= 4 and/or earthquakes that may cause damage. These characteristics of disaster information from different web texts sources can be used to improve the efficiency and analysis of disaster information extraction. In addition, the rule-based approach proposed herein was found to be an accurate and viable way to extract earthquake information from web texts. The approach provided the technical basics and background information to support further research seeking human-centric disaster information, which cannot be acquired using traditional instrument monitoring methods, from web text.
资助项目	Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA19040501] ; National Natural Science Foundation of China[41421001] ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology[CKCEST-2018-2-8] ; 13th Five-year Information Plan of the Chinese Academy of Sciences[XXH13505-07]
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000475307000010
资助机构	Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology ; 13th Five-year Information Plan of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/58052]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Juanle
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Auspices UNESCO, IKCEST, Beijing 100088, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Han, Xuehua,Wang, Juanle. Earthquake Information Extraction and Comparison from Different Sources Based on Web Text[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(6):14.
APA	Han, Xuehua,&Wang, Juanle.(2019).Earthquake Information Extraction and Comparison from Different Sources Based on Web Text.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(6),14.
MLA	Han, Xuehua,et al."Earthquake Information Extraction and Comparison from Different Sources Based on Web Text".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.6(2019):14.