Ontological Modeling of Tacit Knowledge for Automating Job Hazard Analysis in Construction-Reference-Cited by-同舟云学术

Ontological Modeling of Tacit Knowledge for Automating Job Hazard Analysis in Construction

Published:2024-09 Issue:5 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Pandithawatta Sonali¹,Rameezdeen Raufdeen²,Ahn Seungjun³^ORCID,Chow Christopher W. K.⁴^ORCID,Gorjian Nima⁵

Affiliation:

1. Ph.D. Candidate, Sustainable Infrastructure and Resource Management, UniSA STEM, Univ. of South Australia, Adelaide, SA 5095, Australia.

2. Professor, Sustainable Infrastructure and Resource Management, UniSA STEM, Univ. of South Australia, Adelaide, SA 5095, Australia.

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Hongik Univ., Seoul 04066, Republic of Korea (corresponding author). ORCID: .

4. Professor, Sustainable Infrastructure and Resource Management, UniSA STEM, Univ. of South Australia, Adelaide, SA 5095, Australia. ORCID: .

5. Associate Professor, Sustainable Infrastructure and Resource Management, UniSA STEM, Univ. of South Australia, Adelaide, SA 5095, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5695

Reference86 articles.

1. BIM – New rules of measurement ontology for construction cost estimation

2. Identifying Root Causes of Construction Accidents

3. Ontologies for Knowledge Management

4. The application and benefits of job safety analysis

5. Altawil S. N. A. 2017. “Multi-level knowledge extraction and modeling to support job hazard analysis process for oil and gas pipeline projects.” Ph.D. thesis Dept. of Civil and Environmental Engineering Univ. of Alberta.