Author:
Farghaly Karim,Soman Ranjith K.,Collinge William,Mosleh Mojgan Hadi,Manu Patrick,Cheung Clara Man
Abstract
A pronounced gap often exists between expected and actual safety performance in the construction industry. The multifaceted causes of this performance gap are resulting from the misalignment between design assumptions and actual construction processes that take place on-site. In general, critical factors are rooted in the lack of interoperability around the building and work-environment information due to its heterogeneous nature. To overcome the interoperability challenge in safety management, this paper represents the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for construction safety management and linking that ontology to IfcOWL. The developed ontology, named Safety and Health Exchange (SHE), comprises eight concepts and their relationships required to identify and manage safety risks in the design and planning stages. The main concepts of the developed ontology are identified based on reviewing accident cases from 165 Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR) and 31 Press Releases from the database of the Health and Safety Executive (HSE) in the United Kingdom. Consequently, a semantic mapping between the developed ontology and IfcOWL (the most popular ontology and schema for interoperability in the AEC sector) is proposed. Then several SPARQL queries were developed and implemented to evaluate the semantic consistency of the developed ontology and the cross-mapping. The proposed ontology and cross-mapping gained recognition for its innovation in utilising OpenBIM and won the BuildingSMART professional research award 2020. This work could facilitate developing a knowledge-based system in the BIM environment to assist designers in addressing health and safety issues during the design and planning phases in the construction sector.
Publisher
International Council for Research and Innovation in Building and Construction
Subject
Computer Science Applications,Building and Construction,Civil and Structural Engineering
Reference51 articles.
1. Abanda, F.H., Kamsu-Foguem, B. & Tah, J.H.M. (2017). BIM - New rules of measurement ontology for construction cost estimation. Engineering Science and Technology-an International Journal-Jestech, 20 IID - 5(2):443-459.
2. An, S., Martinez, P., Ahmad, R. & Al-Hussein, M. (2019). Ontology-based knowledge modeling for frame assemblies manufacturing, 36th International Symposium on Automation and Robotics in Construction, 709-715.
3. Boje, C. (2019). Developing the crowd simulation scenario (CSS) ontology supporting building evacuation design, 7th Linked Data in Architecture and Construction Workshop, LDAC 2019, 50-63.
4. Borst, W.N. (1997) Construction of engineering ontologies for knowledge sharing and reuse. Universiteit Twente.
5. Cerezo-Narváez, A., Pastor-Fernández, A., Otero-Mateo, M. & Ballesteros-Pérez, P. (2020). Integration of Cost and Work Breakdown Structures in the Management of Construction Projects. Applied Sciences, 10(4):1386.
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献