Automatic extraction method and implementation of BPMN model for emergency plan response process

被引：0
|
作者：
Yang Q. [1 ]
Guo W. [1 ]
Ni W. [1 ]
Zeng Q. [1 ]
机构：
[1] College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2022年 / 28卷 / 10期
关键词：
business process model; emergency plan; named-entity recognition; process model extraction; relation extraction;
D O I：
10.13196/j.cims.2022.10.017
中图分类号：
学科分类号：
摘要：
Emergency response process model describes the execution process of emergency response in a formal way. However, most emergency response process models are manually created by emergency experts,which is a time-consuming and laborious work. An approach to automatically extract emergency response process models from response process text of emergency plan was proposed to provide technical support for expert modeling. The text data of emergency plans were preprocessed and annotated for the subsequent extraction tasks. The response task and task relation were extracted by Bi-directional Long Short Term Memory Attention Conditional Random Fields (Bi-LSTM-Attention-CRF) network and XGBoost model respectively. Then, BPMN model of emergency response process was constructed based on the extracted response task and task relation. The real-world data was collected and experimental results imply that task element identification and task relations extraction are effective. In addition,a tool for extracting BPMN model of emergency response process was also presented. © 2022 CIMS. All rights reserved.
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页码：3212 / 3224
页数：12
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