Development and challenge in disaster event spatio-temporal and attribute information extraction from Web text

Authors: Xuehua Han*, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Juanle Wang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Kun Bu, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, , Yujie Wang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Topics: Hazards, Risks, and Disasters
Keywords: disaster event,Web texts,information extraction,patio-temporal and attribute information
Session Type: Paper
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon B1, Sheraton 3rd Floor
Presentation File: No File Uploaded


In the field of disaster research, obtaining sufficient, accurate and timely disaster information is of great significance, especially for rapid-onset disasters. Nowadays, disaster event spatio-temporal and attribute information is widely available in the form of Web articles, news reports, blogs, Twitter feeds, and other formats. Extracting and visualizing such information from Web text, and tracking dynamic change patterns and trends of disaster events over space–time, is a growing area of research in the field of GIS and disaster information. This paper reviews the progress of relevant research on disaster spatio-temporal and attribute information extraction, describes the process of extracting disaster event spatio-temporal and attribute information from web texts, summarize the research key methods and major issues which include disaster event information extraction, construction structured information, matching and visualization of disaster event spatio-temporal information. Lastly, the paper discusses and looks ahead to the development trends of this domain in future.

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