Extraction of spatio-temporal information of earthquake event based on semantic technology

Hong Fan; Dan Guo; Huaiyuan Li

doi:10.1117/12.2209282

14 December 2015 Extraction of spatio-temporal information of earthquake event based on semantic technology

Hong Fan, Dan Guo, Huaiyuan Li

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981509 (2015) https://doi.org/10.1117/12.2209282
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In this paper a web information extraction method is presented which identifies a variety of thematic events utilizing the event knowledge framework derived from text training, and then further uses the syntactic analysis to extract the event key information. The method which combines the text semantic information and domain knowledge of the event makes the extraction of information people interested more accurate. In this paper, web based earthquake news extraction is taken as an example. The paper firstly briefs the overall approaches, and then details the key algorithm and experiments of seismic events extraction. Finally, this paper conducts accuracy analysis and evaluation experiments which demonstrate that the proposed method is a promising way of hot events mining.

Citation Download Citation

Hong Fan, Dan Guo, and Huaiyuan Li "Extraction of spatio-temporal information of earthquake event based on semantic technology", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981509 (14 December 2015); https://doi.org/10.1117/12.2209282

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