Advancing Automated OSHA Compliance Analysis in Construction through Prompt Engineering for NLP-Based Insight Extraction

dc.contributor.author	Ray, Unmesa
dc.contributor.author	Park, JeeWoong
dc.contributor.author	Kim, Namgyun
dc.date.accessioned	2026-08-20T11:51:00Z
dc.date.available	2026-08-20T11:51:00Z
dc.date.copyright	2026/05/08
dc.date.issued	2026
dc.identifier.other	JMENEA.MEENG-7154.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4312755
dc.description.abstract	AbstractEnsuring safety compliance in construction remains a persistent challenge, with regulatory violations contributing to high injury and fatality rates. Although OSHA maintains extensive accident records, much of this data exists in unstructured ...
dc.publisher	American Society of Civil Engineers
dc.title	Advancing Automated OSHA Compliance Analysis in Construction through Prompt Engineering for NLP-Based Insight Extraction
dc.type	Journal Article
dc.journal.volume	42
dc.journal.issue	4
dc.journal.title	Journal of Management in Engineering
dc.identifier.doi	10.1061/JMENEA.MEENG-7154
dc.journal.fristpage	04026015-1
dc.journal.lastpage	04026015-15
dc.page	15
dc.tree	Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 004
dc.contenttype	Fulltext