TY - GEN
T1 - Ontology-Based Representation Model to Support Cause and Effect Analysis
AU - Wang, Hanhsiang
N1 - Publisher Copyright:
© 2015 ASCE.
PY - 2015
Y1 - 2015
N2 - Quality management is one of the most essential topics in the construction industry. Cause and effect (CE) analysis is one of the tools and techniques for quality management, and is widely used in construction quality management practices for identifying all possible causes associated with a particular problem. CE analysis requires participation and brainstorming of domain experts and experienced practitioners; however, such a brainstorming session is usually time-consuming and cumbersome, making the CE analysis process inefficient. Therefore, an ontology-based representation model is proposed in this paper that can be applied to organize experts and practitioners' CE analysis knowledge as an ontology to benefit the reutilization of the knowledge. A case study is performed to demonstrate how the model works and can benefit the brainstorming session of a CE analysis process as well as the limitations of the model. Further studies on incorporating an automated reasoning mechanism into the model, including its implementation and advantages, are briefly discussed as well in this paper.
AB - Quality management is one of the most essential topics in the construction industry. Cause and effect (CE) analysis is one of the tools and techniques for quality management, and is widely used in construction quality management practices for identifying all possible causes associated with a particular problem. CE analysis requires participation and brainstorming of domain experts and experienced practitioners; however, such a brainstorming session is usually time-consuming and cumbersome, making the CE analysis process inefficient. Therefore, an ontology-based representation model is proposed in this paper that can be applied to organize experts and practitioners' CE analysis knowledge as an ontology to benefit the reutilization of the knowledge. A case study is performed to demonstrate how the model works and can benefit the brainstorming session of a CE analysis process as well as the limitations of the model. Further studies on incorporating an automated reasoning mechanism into the model, including its implementation and advantages, are briefly discussed as well in this paper.
UR - http://www.scopus.com/inward/record.url?scp=84953731750&partnerID=8YFLogxK
U2 - 10.1061/9780784479377.067
DO - 10.1061/9780784479377.067
M3 - 會議論文篇章
AN - SCOPUS:84953731750
T3 - ICCREM 2015 - Environment and the Sustainable Building - Proceedings of the 2015 International Conference on Construction and Real Estate Management
SP - 584
EP - 590
BT - ICCREM 2015 - Environment and the Sustainable Building - Proceedings of the 2015 International Conference on Construction and Real Estate Management
A2 - Wang, Yaowu
A2 - Olofsson, Thomas
A2 - Shen, Geoffrey Qiping
A2 - Bai, Yong
PB - American Society of Civil Engineers (ASCE)
T2 - 2015 International Conference on Construction and Real Estate Management: Environment and the Sustainable Building, ICCREM 2015
Y2 - 11 August 2015 through 12 August 2015
ER -