Open Access
Issue
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
Article Number 01025
Number of page(s) 9
Section Computer Technology and System Design
DOI https://doi.org/10.1051/itmconf/20224501025
Published online 19 May 2022
  1. Zhuang Guotai, To strengthen the first line of defense of meteorological disaster prevention and mitigation [J]. Qiushi, 2021(14):72-77 [Google Scholar]
  2. Zhiyu Cao, Yuxing Feng, Xiao Li. A Study on the Calculation Method for the Coverage Rate of Early Warning Release[J]. IOP Conference Series: Earth and EnvironmentalScience, 2019, 233(5):052034(9pp).DOI:10.1088/17551315/233/5/052034 [Google Scholar]
  3. Wang Muhua. Research on Meteorological Disaster Prevention and Mitigation Monitoring and Management Based on WSR and Hall 3 D Model [J]. Journal of Catastrophology, 2020, 35(4):103-107. DOI:10.3969/j.issn.1000-811X.2020.04.020 [Google Scholar]
  4. Zhang Xueying, Zhang Chunju, Wu Mingguang, et al. Spatiotemporal features based geographical knowledge graph construction [J]. Science in China (Information Sciences), 2020, 50(7):1019-1032 [Google Scholar]
  5. Wang Haofen, Qi Guilin, Chen Huajun. 《Knowledge Mapping: Methods, Practices and Application》[J]. Automation Panorama, 2020, 37(1):7. DOI:10.3969/j.issn.10030492.2020.01.011 [Google Scholar]
  6. Wang Feng-e. Recognition of Temporal Relation in Chinese Text [D]. Shanxi: Shanxi University, 2012 [Google Scholar]
  7. Liu Wencong, Zhang Chunju, Wang Chen, et al. Geological Time Information Extraction from Chinese Text Based on BiLSTM-CRF [J]. Advances in Earth Science, 2021, 36(2):211-220 [Google Scholar]
  8. Yan Zi-fei, Ji Dong-hong. Exploration of Chinese temporal information extraction based on CRF and semi-supervised learning [J]. Computer Engineering and Design, 2015(6):1642-1646. DOI:10.16208/j.issn1000-7024.2015.06.044 [Google Scholar]
  9. Song Guomin, Zhang Sanqiang, Jia Fenli, et al. Temporal Information Extraction and Normalization Method in Chinese Texts [J]. Journal of Geomatics Science and Technology, 2019, 36(5):538-544. DOI:10.3969/j.issn.1673-6338.2019.05.017 [Google Scholar]
  10. Wang Muhua, Wang Tianyue, Li Yanpeng, et al. Research on Knowledge Graph Model about Rainstorm Disaster Based on Simple Event Model [J]. Journal of Catastrophology, 2021, 36(4):74-78. DOI:10.3969/j.issn.1000-811X.2021.04.013 [Google Scholar]
  11. Ma Jian-xia, Yuan Hui, Jiang Xiang. Extracting Name Entities from Ecological Restoration Literature with Bi-LSTM+CRF [J]. Data Analysis and Knowledge Discovery, 2020, 4(2):78-88. DOI:10.11925/infotech.2096-3467.2019.0034 [Google Scholar]
  12. Liu Jiaqi, Luo Yonglian. Study on the Algorithm of Extracting Toponym from Chinese Emergency News [J]. Information & Computer, 57(15):53-54, 2019 [Google Scholar]
  13. Gao Qi. Research on ontology annotation method based on Bootstrapping [D]. Chongqing: Chongqing University, 2010 [Google Scholar]
  14. Yin Jihao, Fan Xiaozhong, Liu Shining, etc. Training Corpus Construction Based on Bootstrapping [J]. JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT, 2007, 44(z2):394-397 [Google Scholar]
  15. Yu Li, Lu Feng, Liu Xiliang. A Bootstrapping Based Approach for Open Geo-entity Relation Extraction [J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(5):616-622 [Google Scholar]

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