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Systematic Knowledge Management of Construction Safety Standards Based on Knowledge Graphs: A Case Study in China
Yukun Jiang1, Xin Gao1, Wenxin Su1
1School of Economics and Management, Tongji University, Shanghai 200092, China.
International Journal of Environmental Research and Public Health
|October 23, 2021
Summary
This study introduces a knowledge graph for construction safety standards (CSS) to enhance management. The developed knowledge graph facilitates analysis, querying, and sharing of safety information.
Area of Science:
- Construction Management
- Knowledge Engineering
- Information Science
Background:
- Construction safety standards (CSS) possess inherent knowledge characteristics.
- Existing CSS management lacks the integration of advanced knowledge management tools like knowledge graphs (KG).
Purpose of the Study:
- To improve construction safety standards knowledge management.
- To develop a comprehensive knowledge graph for construction safety standards (KGCSS).
Main Methods:
- Analyzed the knowledge structure of 218 CSS to identify three knowledge levels.
- Designed a concept layer with five concept levels and eight relationship types.
- Constructed an entity layer with 147 entities through identification and extraction.
- Collected 177 nodes and 11 attribute types for KGCSS construction.
- Implemented knowledge inference for CSS planning and knowledge retrieval.
Main Results:
- Successfully constructed a knowledge graph of construction safety standards (KGCSS).
- Obtained CSS planning through knowledge inference, guiding standard development and revision.
- Enabled efficient CSS knowledge retrieval supporting interrogative input.
Conclusions:
- The KGCSS facilitates improved analysis, querying, and sharing of construction safety standards knowledge.
- This approach offers a novel method for managing complex safety standard information.
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