ERSDMM: A Standard Digitalization Modeling Method for Emergency Response Based on Knowledge Graph

Author:

Liu WenlingORCID,Yang Yuexiang,Tu Xinyu,Wang Wan

Abstract

Standard digitalization is a crucial step in social and economic development and the transformation of digital technology. Standard digitalization is of great significance in the promotion of sustainable economic and social development. This paper proposes a standard digitalization modeling method for emergency response (ERSDMM) based on knowledge graph (KG). Firstly, this paper analyzes the knowledge structure of emergency response standards (ERS) and constructs a “seven-dimensional” model of ERS based on the public safety triangle theory. An ontology model of the emergency response domain is then created. Secondly, ERS and emergency scenario fine-grained knowledge are extracted. Thirdly, a standard reorganization model is constructed to meet the needs of the scenario response. Finally, the ERSDMM is applied to the GB 21734-2008, which proves that the ERSDMM is available. Taking RES as an example, this paper explores the path and practice of standard digitalization. ERSDMM solves standards-related problems, such as overlapping content, coarse knowledge granularity, incomplete coverage of elements, and difficulty in acquiring knowledge.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference39 articles.

1. Status Quo, Difficulties and Suggestions of Digital Transformation of Emergency Response Standards;Think Tank Sci. Technol.,2022

2. What are the main challenges of standard digitization and how to deal with them?;Chin. Stand.,2022

3. Luttmer, J., Ehring, D., Pluhnau, R., and Nagarajah, A. (2021, January 16–20). Representation and application of digital standards using knowledge graphs. Proceedings of the Design Society: International Conference on Engineering Design (ICED2021), Cambridge, UK.

4. Research on the Organization Model of Knowledge Graph of Standard Documents;Arch. Sci. Bull.,2021

5. Research on the Generating Mechanism of Technical Standards Intelligence from the Synergistic Perspective;J. Intell.,2022

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