research-article

A Novel Method for Constructing Knowledge Graph of Railway Safety Risk

Authors:

Yangdong YeAuthors Info & Claims

CSAE '22: Proceedings of the 6th International Conference on Computer Science and Application Engineering

Article No.: 54, Pages 1 - 6

https://doi.org/10.1145/3565387.3565441

Published: 13 December 2022 Publication History

Abstract

Accurately and quickly constructing a high-quality knowledge graph of railway safety is an important challenge in the field of knowledge engineering. This paper adopts the "four-step method" to construct an accurate and efficient knowledge graph in the field of railway safety risk, including domain ontology construction, crowdsourcing semi-automatic semantic annotation, external data completion and knowledge acquisition. Then the sub-graph of public works safety risk is analyzed, and the application is discussed. Experiments show that the "four-step method" can quickly and accurately acquire knowledge in the field of railway safety, providing a powerful tool for integrating multi-source and heterogeneous railway safety risk knowledge, and making the use of railway safety risk-related information resources more convenient.

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Cited By

Chen MYang SDai WWang ZXu J(2024)A Method for Anomaly Detection in Power Energy Topology Graph Data Based on Domain Knowledge Graph and Graph Neural Networks2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity)10.1109/BigDataSecurity62737.2024.00026(107-112)Online publication date: 10-May-2024
https://doi.org/10.1109/BigDataSecurity62737.2024.00026
Wang XLi MChen WYao YLi ZLiu YZhang H(2023)Review and Application of Knowledge Graph in Crisis ManagementInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402330003834:03(393-425)Online publication date: 18-Nov-2023
https://doi.org/10.1142/S0218194023300038

Index Terms

A Novel Method for Constructing Knowledge Graph of Railway Safety Risk
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction

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cover image ACM Other conferences

CSAE '22: Proceedings of the 6th International Conference on Computer Science and Application Engineering

October 2022

411 pages

ISBN:9781450396004

DOI:10.1145/3565387

Editor:
Ali Emrouznejad

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 December 2022

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National Natural Science Foundation of China

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CSAE 2022

CSAE 2022: The 6th International Conference on Computer Science and Application Engineering

October 21 - 23, 2022

Virtual Event, China

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Overall Acceptance Rate 368 of 770 submissions, 48%

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Cited By

Chen MYang SDai WWang ZXu J(2024)A Method for Anomaly Detection in Power Energy Topology Graph Data Based on Domain Knowledge Graph and Graph Neural Networks2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity)10.1109/BigDataSecurity62737.2024.00026(107-112)Online publication date: 10-May-2024
https://doi.org/10.1109/BigDataSecurity62737.2024.00026
Wang XLi MChen WYao YLi ZLiu YZhang H(2023)Review and Application of Knowledge Graph in Crisis ManagementInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402330003834:03(393-425)Online publication date: 18-Nov-2023
https://doi.org/10.1142/S0218194023300038

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