Authors
Quang Tuan Le, Do Yeop Lee, Chan Sik Park
Publication date
2014/10/1
Journal
Automation in Construction
Volume
46
Pages
30-37
Publisher
Elsevier
Description
Construction is one of the largest contributors to national economies and also one of the most accident-prone industries worldwide. Construction site accidents often result in serious injuries or death, cause serious project delays and cost overruns. Prior studies focused on cause and effect relationships of construction accidents, design for construction safety, effectiveness of worker safety programs and government policies. The focus in those studies has been on generation and utilization of safety-related data and information, and not on how to share safety data efficiently among all stakeholders in the construction industry. This paper proposes a Social Network System for Sharing Construction Safety & Health Knowledge (SNSS), which utilizes semantic wiki web and ontology approach for better communication and representation for construction safety information. SNSS was developed on the basis of a safety …