Page 243 - 《爆炸与冲击》2026年第5期

第 46 卷 王继民，等： 意外爆炸毁伤知识图谱研究 第 5 期

based on natural language processing (NLP) technology [J]. Computers and Applied Chemistry, 2018, 35(7): 605–610. DOI:
10.16866/j.com.app.chem201807010.
[8] 李聪, 徐子烜, 王雨情, 等. 城市燃气管网泄漏事故分析知识图谱构建及应用研究 [J]. 中国安全生产科学技术, 2022,
18(10): 5–12. DOI: 10.11731/j.issn.1673-193x.2022.10.001.
LI C, XU Z X, WANG Y Q, et al. Construction and application of knowledge graph for leakage accident analysis of urban gas
pipeline network [J]. Journal of Safety Science and Technology, 2022, 18(10): 5–12. DOI: 10.11731/j.issn.1673-193x.2022.
10.001.
[9] 何允. 基于化工案例的事故原因知识图谱构建研究 [D]. 大连: 大连理工大学, 2021: 20–33. DOI: 10.26991/d.cnki.gdllu.
2021.001795.
HE Y. Accident causes knowledge graph construction based on chemical cases [D]. Dalian: Dalian University of Technology,
2021: 20–33. DOI: 10.26991/d.cnki.gdllu.2021.001795.
[10] 杜小勇, 李曼, 王珊. 本体学习研究综述 [J]. 软件学报, 2006, 17(9): 1837–1847. DOI: 10.1360/jos171837.
DU X Y, LI M, WANG S. A survey on ontology learning research [J]. Journal of Software, 2006, 17(9): 1837–1847. DOI:
10.1360/jos171837.
[11] 徐飞, 彭佳佳, 刘军, 等. 基于多特征融合的 TextRank 新闻自动摘要模型 [J]. 计算机系统应用, 2023, 32(2): 242–249.
DOI: 10.15888/j.cnki.csa.008913.
XU F, PENG J J, LIU J, et al. Automatic news summarization model based on multi-feature TextRank [J]. Computer Systems
& Applications, 2023, 32(2): 242–249. DOI: 10.15888/j.cnki.csa.008913.
[12] YANG B, FU X, SIDIROPOULOS N D, et al. Towards K-means-friendly spaces: simultaneous deep learning and clustering [C]//
Proceedings of the 34th International Conference on Machine Learning-Volume 70. Sydney: JMLR. org, 2017: 3861–3870.
[13] 席笑文, 郭颖, 宋欣娜, 等. 基于 word2vec 与 LDA 主题模型的技术相似性可视化研究 [J]. 情报学报, 2021, 40(9): 974–
983. DOI: 10.3772/j.issn.1000-0135.2021.09.007.
XI X W, GUO Y, SONG X N, et al. Research on the technical similarity visualization based on word2vec and LDA topic
model [J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(9): 974–983. DOI: 10.3772/j.issn.
1000-0135.2021.09.007.
[14] LIU Y H, OTT M, GOYAL N, et al. RoBERTa: a robustly optimized BERT pretraining approach [EB/OL]. arXiv preprint
arXIV: 1907.11692, 2019. DOI: 10.48550/arXiv.1907.11692.
[15] SU J L, MURTADHA A, PAN S F, et al. Global pointer: novel efficient span-based approach for named entity recognition
[EB/OL]. arXiv preprint arXiv: 2208.03054, 2022. DOI: 10.48550/arXiv.2208.03054.
[16] TRISEDYA B D, QI J Z, ZHANG R. Entity alignment between knowledge graphs using attribute embeddings [C]//
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Honolulu: AAAI Press, 2019: 297–304. DOI:
10.1609/aaai.v33i01.3301297.
[17] CHEN Y B, XU L H, LIU K, et al. Event extraction via dynamic multi-pooling convolutional neural networks [C]//
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint
Conference on Natural Language Processing (Volume 1: Long Papers). Beijing: Association for Computational Linguistics,
2015: 167–176. DOI: 10.3115/v1/P15-1017.
[18] VASHISHTH S, SANYAL S, NITIN V, et al. Composition-based multi-relational graph convolutional networks [C]//8th
International Conference on Learning Representations, ICLR 2020. Addis Ababa: ICLR, 2020.
[19] 姜子建, 周荣义, 石云霄, 等. 基于贝叶斯网络的危化品爆炸事故隐患关联与溯源分析 [J]. 中国安全科学学报, 2024,
34(6): 173–180. DOI: 10.16265/j.cnki.issn1003-3033.2024.06.1848.
JIANG Z J, ZHOU R Y, SHI Y X, et al. Correlation and traceability analysis of hazardous chemical explosion accidents based
on Bayesian network [J]. China Safety Science Journal, 2024, 34(6): 173–180. DOI: 10.16265/j.cnki.issn1003-3033.2024.
06.1848.
[20] KALLAS J, NAPOLITANO R. Understanding critical masonry building attributes shaping vulnerability to blast loads: data-
driven insights from the 2020 Beirut explosion [J]. International Journal of Disaster Risk Reduction, 2024, 110: 104640. DOI:
10.1016/j.ijdrr.2024.104640.
[21] DENNY J W, FARRIMOND D G, GABRIEL S, et al. The influence of obstacle geometric fidelity on blast wave propagation:
a reduced-scale case study examining the role of the grain siloes in the 2020 Beirut explosion [J]. Shock Waves, 2025, 35(6):
673–699. DOI: 10.1007/S00193-025-01241-5.
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