Graph-based intelligent accident hazard ontology using natural language processing for tracking, prediction, and learning

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Eunbin Hong , SeungYeon Lee , Hayoung Kim , JeongEun Park , Myoung Bae Seo , June-Seong Yi
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引用次数: 0

Abstract

This paper addresses the challenge of dispersed accident-related information on construction sites, which hinders consensus among employers, workers, supervisors, and society. A robust NLP-based framework is presented to analyze and structure accident-related textual data into a comprehensive knowledge base that reveals accident patterns and risk information. Accident scenarios, including frequency and severity scores, are structured into a graph database through knowledge modeling, establishing an ontology to elucidate keyword relationships. Network analysis identifies accident patterns, quantifies scenario likelihood and severity, and predicts criticality, forming an accident hazard ontology. This vectorized ontology supports accident tracking, prediction, and learning with potential applications. The framework ensures reliable data integration, real-time hazard assessment, and proactive safety measures.
使用自然语言处理的基于图形的智能事故隐患本体,用于跟踪、预测和学习
建筑工地上与事故相关的信息非常分散,这阻碍了雇主、工人、监理和社会之间达成共识,本文针对这一难题提出了解决方案。本文提出了一个基于 NLP 的强大框架,用于分析与事故相关的文本数据并将其结构化,形成一个全面的知识库,揭示事故模式和风险信息。通过知识建模,将事故场景(包括频率和严重程度评分)结构化为图数据库,建立本体论以阐明关键字关系。网络分析可识别事故模式,量化情景可能性和严重性,并预测临界度,从而形成事故危害本体。这一矢量化本体支持事故跟踪、预测和学习,并具有潜在的应用价值。该框架可确保可靠的数据集成、实时危险评估和前瞻性安全措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
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