Authors
Akeem Pedro, Do Yeop Lee, Rahat Hussain, Chan Sik Park
Publication date
2017
Journal
ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction
Volume
34
Publisher
IAARC Publications
Description
Despite the consistent growth of global markets and emergence of cutting-edge technologies, construction jobsites remain among the most dangerous workplaces with extremely high accidents rates. In the safety management process, it is necessary to review and assess a variety of safety documents and data. Numerous public agencies provide open access to accident data, safety checklists, templates and other useful documents for safety management. However, these safety related contents are multifarious, fragmented and often stored in unstructured ways. As a result, the process of finding and utilizing required safety information for specific safety tasks is challenging and inefficient. In order to address this issue, this paper proposes an innovative approach using linked data and semantic web technologies for integrating and sharing construction safety information from diverse sources. A construction safety …