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A Distinct Approach for Discovering the Relationship of Disasters Using Big Scholar Datasets

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

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Abstract

Natural disasters frequently occur all over the world in recent years. Current researches show that a disaster often causes different kinds of secondary disasters. A good understanding of the chain reaction in disasters can provide guidance for disaster prevention and mitigation. Most of current researches analyze the disaster from the perspective of the disaster mechanism such as the geo-statistical model. This paper proposed an intelligent method of discovering the relationship of disasters using big scholar datasets. This method does not investigate the mechanism of disasters themselves, but analyze the relationship among disasters from the perspective of big data mining. The experiment results show that it is able to get reasonable relationship of disasters without much human interventions. The proposed method will enlighten many other knowledge-discovering applications in geospatial domain.

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Acknowledgments

This paper is funded by National Key Research and Development Program of China (Grant No. 2016YFC0803107 and Grant No. 2016YFB0502601) and Shenzhen Technology Innovation Program (JCYJ20170307152553273).

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Authors and Affiliations

  1. Institute of Safety Science and Technology, Department of Engineering Physics, Shenzhen Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China

    Liang Zheng, Fei Wang, Xiaocui Zheng & Binbin Liu

Authors
  1. Liang Zheng
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  2. Fei Wang
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  3. Xiaocui Zheng
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  4. Binbin Liu
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Corresponding author

Correspondence to Fei Wang .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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Zheng, L., Wang, F., Zheng, X., Liu, B. (2018). A Distinct Approach for Discovering the Relationship of Disasters Using Big Scholar Datasets. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_28

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  • DOI: https://doi.org/10.1007/978-981-13-0893-2_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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