Kilian Speiser , Sebastian Seiß , Frank Boukamp , Jürgen Melzner , Jochen Teizer
{"title":"From fragmented data to unified construction safety knowledge: A process-based ontology framework for safer work","authors":"Kilian Speiser , Sebastian Seiß , Frank Boukamp , Jürgen Melzner , Jochen Teizer","doi":"10.1016/j.autcon.2025.106293","DOIUrl":null,"url":null,"abstract":"<div><div>Effective knowledge management in construction safety is essential yet challenging. Despite emerging technologies to collect valuable data automatically, it continues to rely on manual input. The heterogeneity of data sources in construction makes it additionally difficult, resulting in a high number of incidents due to late changes in the design. Presented is a unified ontology for construction safety named UNOCS that shares safety knowledge between stakeholders during the construction processes. The UNOCS ontology follows the Linked Open Terms methodology and integrates established concepts, ensuring interoperability with other domain-specific knowledge for multiple use cases: (1) hazard and mitigation planning, (2) conformance checking and control, and (3) incident logging. UNOCS was evaluated through automatic consistency checks, criteria-based assessment, and task-based evaluation. The ontology meets the defined requirements and represents safety-related concepts. Implemented in a machine-readable format, it enables reasoning and seamless knowledge transfer between mitigation planning, safety inspections, and incident reporting.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106293"},"PeriodicalIF":11.5000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525003334","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Effective knowledge management in construction safety is essential yet challenging. Despite emerging technologies to collect valuable data automatically, it continues to rely on manual input. The heterogeneity of data sources in construction makes it additionally difficult, resulting in a high number of incidents due to late changes in the design. Presented is a unified ontology for construction safety named UNOCS that shares safety knowledge between stakeholders during the construction processes. The UNOCS ontology follows the Linked Open Terms methodology and integrates established concepts, ensuring interoperability with other domain-specific knowledge for multiple use cases: (1) hazard and mitigation planning, (2) conformance checking and control, and (3) incident logging. UNOCS was evaluated through automatic consistency checks, criteria-based assessment, and task-based evaluation. The ontology meets the defined requirements and represents safety-related concepts. Implemented in a machine-readable format, it enables reasoning and seamless knowledge transfer between mitigation planning, safety inspections, and incident reporting.
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.