{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T17:08:49Z","timestamp":1779469729018,"version":"3.53.1"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering & System Safety"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ress.2026.112859","type":"journal-article","created":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T05:46:18Z","timestamp":1778391978000},"page":"112859","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Knowledge graph-enhanced large language models for explainable causal analysis of crane accidents"],"prefix":"10.1016","volume":"276","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yidan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianrong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.112859_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2024.105429","article-title":"Tower crane safety technologies: a synthesis of academic research and industry insights","volume":"163","author":"Ali","year":"2024","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112859_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110254","article-title":"A data-driven and knowledge graph-based analysis of the risk hazard coupling mechanism in subway construction accidents","volume":"250","author":"Huo","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2024.143367","article-title":"A new paradigm for construction safety management in China: introducing knowledge graph and accident database into the early-stage of BIM","volume":"470","author":"Li","year":"2024","journal-title":"J Clean Prod"},{"key":"10.1016\/j.ress.2026.112859_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111625","article-title":"Knowledge graph reasoning: mainstream methods, applications and prospects","volume":"159","author":"Liu","year":"2025","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.ress.2026.112859_bib0007","first-page":"1","article-title":"Knowledge graphs: opportunities and challenges","author":"Peng","year":"2023","journal-title":"Artif Intell Rev"},{"issue":"4","key":"10.1016\/j.ress.2026.112859_bib0008","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1162\/COLI.a.16","article-title":"Siren\u2019s song in the AI ocean: a survey on hallucination in large language models","volume":"51","author":"Zhang","year":"2025","journal-title":"Compu Lingui"},{"key":"10.1016\/j.ress.2026.112859_bib0009","series-title":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"6491","article-title":"A survey on RAG meeting LLMs: towards retrieval-augmented large language models","author":"Fan","year":"2024"},{"key":"10.1016\/j.ress.2026.112859_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.enbuild.2024.115001","article-title":"Data-driven building load prediction and large language models: comprehensive overview","volume":"326","author":"Zhang","year":"2025","journal-title":"Energy Build"},{"key":"10.1016\/j.ress.2026.112859_bib0011","unstructured":"Han H., Wang Y., Shomer H., Guo K., Ding J., Lei Y., et al. Retrieval-augmented generation with graphs (GraphRAG). arXiv preprint arXiv:2501.00309; 2025. doi:10.48550\/arXiv.2501.00309."},{"key":"10.1016\/j.ress.2026.112859_bib0012","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.3390\/electronics14112102","article-title":"Document GraphRAG: knowledge graph enhanced retrieval augmented generation for document question answering within the manufacturing domain","volume":"14","author":"Knollmeyer","year":"2025","journal-title":"Electronics"},{"key":"10.1016\/j.ress.2026.112859_bib0013","first-page":"19206","article-title":"Knowledge graph prompting for multi-document question answering","volume":"38","author":"Wang","year":"2024","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"10.1016\/j.ress.2026.112859_bib0014","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1061\/(ASCE)0733-9364(2009)135:1(24)","article-title":"Identification and analysis of factors affecting safety on construction sites with tower cranes","volume":"135","author":"Shapira","year":"2009","journal-title":"J Constr Eng Manag"},{"key":"10.1016\/j.ress.2026.112859_bib0015","doi-asserted-by":"crossref","first-page":"836","DOI":"10.3390\/buildings12060836","article-title":"Collaborative governance of tower crane safety in the Chinese construction industry: a social network perspective","volume":"12","author":"Yang","year":"2022","journal-title":"Buildings"},{"key":"10.1016\/j.ress.2026.112859_bib0016","doi-asserted-by":"crossref","DOI":"10.1515\/nleng-2022-0295","article-title":"Safety decision analysis of collapse accident based on \u201caccident tree\u2013analytic hierarchy process","volume":"12","author":"Ren","year":"2023","journal-title":"Nonlinear Eng"},{"key":"10.1016\/j.ress.2026.112859_bib0017","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0001860","article-title":"Identification of critical causes of tower-crane accidents through system thinking and case analysis","volume":"146","author":"Zhang","year":"2020","journal-title":"J Constr Eng Manag"},{"key":"10.1016\/j.ress.2026.112859_bib0018","article-title":"Dynamic risk assessment of tower crane operations by integrating functional resonance analysis method and bayesian network","volume":"23","author":"Zhong","year":"2025","journal-title":"Dev Built Environ"},{"key":"10.1016\/j.ress.2026.112859_bib0019","doi-asserted-by":"crossref","unstructured":"Liu L., Liu J., Yao Y. Safety risk assessment of tower crane construction based on fuzzy Bayesian network 2021:147\u201354. https:\/\/doi.org\/10.1061\/9780784483848.016.","DOI":"10.1061\/9780784483848.016"},{"key":"10.1016\/j.ress.2026.112859_bib0020","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)CO.1943-7862.0002186","article-title":"Identification of critical causal factors and paths of tower-crane accidents in China through system thinking and complex networks","volume":"147","author":"Zhang","year":"2021","journal-title":"J Constr Eng Manag"},{"key":"10.1016\/j.ress.2026.112859_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2022.106044","article-title":"Estimating and visualizing the exposure to tower crane operation hazards on construction sites","volume":"160","author":"Hu","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0022","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.ssci.2018.05.001","article-title":"Tower crane safety on construction sites: a complex sociotechnical system perspective","volume":"109","author":"Zhou","year":"2018","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110040","article-title":"Digital twins in safety analysis, risk assessment and emergency management","volume":"246","author":"Zio","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0024","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.ress.2019.02.013","article-title":"Combining association rules mining with complex networks to monitor coupled risks","volume":"186","author":"Zhou","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110126","article-title":"A knowledge graph-based hazard prediction approach for preventing railway operational accidents","volume":"247","author":"Liu","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110814","article-title":"Network-based safety risk analysis and interactive dashboard for root cause identification in construction accident management","volume":"256","author":"Kumi","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.106806","article-title":"Data-driven safety enhancing strategies for risk networks in construction engineering","volume":"197","author":"Chen","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.107352","article-title":"A knowledge graph-based approach for exploring railway operational accidents","volume":"207","author":"Liu","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2022.104696","article-title":"Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements","volume":"147","author":"Wang","year":"2023","journal-title":"Autom Constr"},{"issue":"2","key":"10.1016\/j.ress.2026.112859_bib0030","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1108\/ECAM-03-2023-0255","article-title":"Construction and application of knowledge graph for construction accidents based on deep learning","volume":"32","author":"Wu","year":"2025","journal-title":"Engi, Constru Archite Manage"},{"key":"10.1016\/j.ress.2026.112859_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110917","article-title":"Railway operational hazard prediction and control based on knowledge graph embedding and topological analysis","volume":"258","author":"Liu","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0032","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1006\/ijhc.1995.1081","article-title":"Toward principles for the design of ontologies used for knowledge sharing","volume":"43","author":"Gruber","year":"1995","journal-title":"Int J Hum Comput Stud"},{"key":"10.1016\/j.ress.2026.112859_bib0033","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/S0169-023X(97)00056-6","article-title":"Knowledge engineering: principles and methods","volume":"25","author":"Studer","year":"1998","journal-title":"Data Knowl Eng"},{"key":"10.1016\/j.ress.2026.112859_bib0034","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Adva Neu Infor Proce Sys"},{"key":"10.1016\/j.ress.2026.112859_bib0035","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.ress.2026.112859_bib0036","unstructured":"Zhang B., Reklos I., Jain N., Mero\u00f1o-Pe\u00f1uela A.M., Simperl E. Using large language models for knowledge engineering (LLMKE): a case study on Wikidata. In: Joint Proceedings of the KBC-LM Workshop and the LM-KBC Challenge 2023, co-located with the 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings, vol. 3577; 2023."},{"key":"10.1016\/j.ress.2026.112859_bib0037","series-title":"Proceedings of the workshops at the 32nd international conference on case-based reasoning (ICCBR-WS 2024)","first-page":"3","article-title":"Large language models as knowledge engineers","author":"Brand","year":"2024"},{"key":"10.1016\/j.ress.2026.112859_bib0038","article-title":"Causation analysis of crane-related accident reports by utilizing ChatGPT and complex networks","volume":"3","author":"Wang","year":"2025","journal-title":"J Build Des Environ"},{"key":"10.1016\/j.ress.2026.112859_bib0039","first-page":"1026","article-title":"Leveraging large language models for enhanced construction safety regulation extraction","volume":"29","author":"Tran","year":"2024","journal-title":"J Inf Technol Constr (ITcon)"},{"key":"10.1016\/j.ress.2026.112859_bib0040","article-title":"Developing a novel chatbot for safe crane lifting using retrieval augmented generation enhanced large language models","author":"Zhang","year":"2025","journal-title":"Preprint at SSRN"},{"key":"10.1016\/j.ress.2026.112859_bib0041","series-title":"Proceedings of the conference recent advances in natural language processing - large language models for natural language processings","first-page":"641","article-title":"A practical survey on zero-shot prompt design for in-context learning","author":"Li","year":"2023"},{"key":"10.1016\/j.ress.2026.112859_bib0042","series-title":"How to unleash the power of large language models for few-shot relation extraction?","first-page":"190","author":"Xu","year":"2023"},{"key":"10.1016\/j.ress.2026.112859_bib0043","article-title":"Domain-specific large language models for fault diagnosis of heating, ventilation, and air conditioning systems by labeled-data-supervised fine-tuning","volume":"377","author":"Zhang","year":"2025","journal-title":"Appl Energy"},{"key":"10.1016\/j.ress.2026.112859_bib0044","series-title":"Proceedings of the 2024 3rd international conference on algorithms, data mining, and information technology","first-page":"265","article-title":"Data augmentation for technical standard relation extraction","author":"Jia","year":"2025"},{"key":"10.1016\/j.ress.2026.112859_bib0045","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/TNNLS.2021.3070843","article-title":"A survey on knowledge graphs: representation, acquisition, and applications","volume":"33","author":"Ji","year":"2022","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.ress.2026.112859_bib0046","series-title":"Proceedings of the 2023 6th international conference on information management and management science","first-page":"26","article-title":"Construction safety knowledge graph integrating text and image information","author":"Wu","year":"2023"},{"key":"10.1016\/j.ress.2026.112859_bib0047","unstructured":"Zheng D., Du L., Su J., Tian Y., Zhu Y., Zhang J., et al. Knowledge augmented complex problem solving with large language models: a survey. arXiv preprint arXiv:2505.03418; 2025. doi:10.48550\/arXiv.2505.03418."},{"key":"10.1016\/j.ress.2026.112859_bib0048","unstructured":"Zhang Q., Chen S., Bei Y., Yuan Z., Zhou H., Hong Z., et al. A survey of graph retrieval-augmented generation for customized large language models. arXiv preprint arXiv:2501.13958; 2025. doi:10.48550\/arXiv.2501.13958."},{"key":"10.1016\/j.ress.2026.112859_bib0049","doi-asserted-by":"crossref","DOI":"10.1145\/3571730","article-title":"Survey of hallucination in natural language generation","author":"Ji","year":"2023","journal-title":"ACM Comput Surv"},{"key":"10.1016\/j.ress.2026.112859_bib0050","article-title":"Improving knowledge management in building engineering with hybrid retrieval-augmented generation framework","volume":"103","author":"Li","year":"2025","journal-title":"J Build Eng"},{"key":"10.1016\/j.ress.2026.112859_bib0051","unstructured":"Ou J., Huang T., Zhao Y., Yu Z., Lu P., Ying R. Experience retrieval-augmentation with electronic health records enables accurate discharge QA. arXiv preprint arXiv:2503.17933; 2025. doi:10.48550\/arXiv.2503.17933."},{"key":"10.1016\/j.ress.2026.112859_bib0052","unstructured":"Ngo N.T., Nguyen C.V., Dernoncourt F., Nguyen T.H. Comprehensive and practical evaluation of retrieval-augmented generation systems for medical question answering. arXiv preprint arXiv:2411.09213; 2024. doi:10.48550\/arXiv.2411.09213."},{"key":"10.1016\/j.ress.2026.112859_bib0053","series-title":"Proceedings of the 48th international ACM SIGIR conference on research and development in information retrieval","article-title":"Benchmarking retrieval-augmented generation in multi-turn legal consultation conversation","author":"Li","year":"2025"},{"key":"10.1016\/j.ress.2026.112859_bib0054","doi-asserted-by":"crossref","first-page":"1697169","DOI":"10.3389\/frai.2025.1697169","article-title":"Advancing engineering research through context-aware and knowledge graph-based retrieval-augmented generation","volume":"8","author":"Ghosh","year":"2025","journal-title":"Fronti Arti Inte"},{"key":"10.1016\/j.ress.2026.112859_bib0055","unstructured":"Han H., Shomer H., Wang Y., Lei Y., Guo K., Hua Z., et al. RAG vs. GraphRAG: a systematic evaluation and key insights 2025. https:\/\/doi.org\/10.48550\/arXiv.2502.11371."},{"key":"10.1016\/j.ress.2026.112859_bib0056","doi-asserted-by":"crossref","first-page":"390","DOI":"10.3390\/info15070390","article-title":"Use of knowledge graphs for construction safety management: a systematic literature review","volume":"15","author":"Kong","year":"2024","journal-title":"Information"},{"key":"10.1016\/j.ress.2026.112859_bib0057","article-title":"Early-warning of unsafe hoisting operations: an integration of digital twin and knowledge graph","volume":"19","author":"Jiang","year":"2024","journal-title":"Dev Built Environ"},{"key":"10.1016\/j.ress.2026.112859_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110976","article-title":"Risk propagation mechanisms in railway systems under extreme weather: a knowledge graph-based unsupervised causation chain approach","volume":"260","author":"Huang","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112859_bib0059","doi-asserted-by":"crossref","first-page":"106794","DOI":"10.1016\/j.autcon.2026.106794","article-title":"Bridging dual knowledge graphs for multi-hop question answering in construction safety","volume":"183","author":"Zhang","year":"2026","journal-title":"Auto Constr"},{"key":"10.1016\/j.ress.2026.112859_bib0060","doi-asserted-by":"crossref","DOI":"10.1007\/s11269-025-04312-5","article-title":"A multi-agent and GraphRAG-based framework for operation and management decision-making in hydraulic projects","author":"Yang","year":"2025","journal-title":"Water Resour Manage"},{"key":"10.1016\/j.ress.2026.112859_bib0061","doi-asserted-by":"crossref","DOI":"10.1108\/ECAM-08-2024-1066","article-title":"Addressing the information silo of construction planning constraints \u2013 a graph retrieval augmented generation approach","author":"He","year":"2025","journal-title":"Eng Constr Archit Manag"},{"key":"10.1016\/j.ress.2026.112859_bib0062","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2025.106179","article-title":"Automating construction contract review using knowledge graph-enhanced large language models","volume":"175","author":"Zheng","year":"2025","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112859_bib0063","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.ssci.2009.11.006","article-title":"Applying systems thinking concepts in the analysis of major incidents and safety culture","volume":"48","author":"Goh","year":"2010","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0064","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.sepro.2011.08.034","article-title":"Research of 4M1E\u2019s effect on engineering quality based on structural equation model","volume":"1","author":"Yihua","year":"2011","journal-title":"Syst Eng Procedia"},{"key":"10.1016\/j.ress.2026.112859_bib0065","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.ssci.2019.04.038","article-title":"Identification of critical causes of construction accidents in China using a model based on system thinking and case analysis","volume":"121","author":"Zhang","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0066","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.autcon.2018.12.016","article-title":"Construction site accident analysis using text mining and natural language processing techniques","volume":"99","author":"Zhang","year":"2019","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112859_bib0067","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.ssci.2016.08.022","article-title":"Analyzing risk factors in crane-related near-miss and accident reports","volume":"91","author":"Raviv","year":"2017","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0068","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.ssci.2014.10.010","article-title":"Factors that affect safety of tower crane installation\/dismantling in construction industry","volume":"72","author":"Shin","year":"2015","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112859_bib0069","series-title":"Preventing industrial accidents: reappraising H. W. heinrich \u2013 more than triangles and dominoes","author":"Busch","year":"2021"},{"key":"10.1016\/j.ress.2026.112859_bib0070","series-title":"Occupational safety and accident prevention: behavioral strategies and methods","author":"Hoyos","year":"2014"},{"key":"10.1016\/j.ress.2026.112859_bib0071","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1109\/TKDE.2023.3304665","article-title":"Multi-hop knowledge graph reasoning in few-shot scenarios","volume":"36","author":"Zheng","year":"2024","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"10.1016\/j.ress.2026.112859_bib0072","author":"Ding"}],"container-title":["Reliability Engineering & System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026006708?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026006708?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T16:16:44Z","timestamp":1779466604000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832026006708"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":70,"alternative-id":["S0951832026006708"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.112859","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Knowledge graph-enhanced large language models for explainable causal analysis of crane accidents","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.112859","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112859"}}