Abstract
In order to improve the efficiency of emergency response and optimize the utilization of emergency resources, domain experts actively create role network of emergency response. Creating emergency role network manually is a time-consuming and labor-intensive task. An approach to extracting role networks from emergency plans is proposed, and then the extracted role relation network is made a quantitative analysis in this paper. First, role relation network is generated from emergency plan, which includes the emergency department and personnel are identified through a Bi-LSTM-CRF network, coreference resolution is implemented based on RoBERTa-E2E-Coref model, role relation is extracted based on the RoBRETa-CasRel model, and role relation network of emergency response is generated based on identified roles and their relationship. Second, role relation network from emergency plan with different levels were analyzed quantitatively by using the complex network analysis methods. Finally, experiment evaluation and a case study are given based on the real data sets, and the results show that the proposed approach can be used to assist emergency decision-makers to create role relation networks of emergency response. In addition, through the analysis of the extracted role relationship network, the quality of the emergency plan can be indirectly reflected.
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Acknowledgment
This work was supported by National Natural Science Foundation of China (No. U1931207 and No. 61702306), Sci. & Tech. Development Fund of Shandong Province of China (No. ZR2019LZH001, No. ZR2017BF015 and No. ZR2017MF027), Natural Science Foundation of Shandong Province (No. ZR202102250695), the Humanities and Social Science Research Project of the Ministry of Education (No. 18YJAZH017), Shandong Chongqing Science and technology cooperation project (No.cstc2020jscx-lyjsAX0008), Sci. & Tech. Development Fund of Qingdao (No. 21-1-5-zlyj-1-zc), the Taishan Scholar Program of Shandong Province, SDUST Research Fund (No. 2015TDJH102 and No. 2019KJN024) and National Statistical Science Research Project (No. 2021LY053).
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Zhao, H., Zeng, Q., Guo, W., Ni, W. (2022). Automatic Generation and Analysis of Role Relation Network from Emergency Plans. In: Shi, Z., Zucker, JD., An, B. (eds) Intelligent Information Processing XI. IIP 2022. IFIP Advances in Information and Communication Technology, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-03948-5_16
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DOI: https://doi.org/10.1007/978-3-031-03948-5_16
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