Research on Methods of Knowledge Graphs and Pre-trained Models in Urban Public Crisis Management
Authors: 
Qing Lei, Haifeng LiAuthors Info & Claims
Qing Lei, Haifeng LiAuthors Info & ClaimsPages 92 - 98
Abstract
This study focuses on leveraging advanced data analytics and AI, employing a knowledge graph and pre-trained model to enhance the prediction and management of urban crises. By integrating diverse datasets from social media, public records, and GIS, we constructed a comprehensive knowledge graph. Subsequently, a pre-trained model was developed to identify potential crisis indicators and perform predictive analyses. The findings indicate that our approach surpasses traditional methods in accuracy and timeliness, effectively aiding decision-makers in crisis scenarios.
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Published In
November 2023
1156 pages
ISBN:9798400716478
DOI:10.1145/3656766
Copyright © 2023 ACM.
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Published: 01 June 2024
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ICBAR 2023
ICBAR 2023: 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
November 24 - 26, 2023
Chengdu, China
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