Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A2C3008209).
International conference on construction engineering and project management (국제학술발표논문집)
- 2022.06a
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- Pages.800-807
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- 2022
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- 2508-9048(eISSN)
The Status Quo of Graph Databases in Construction Research
- Jeon, Kahyun (Department of Architecture and Architectural Engineering, Yonsei University) ;
- Lee, Ghang (Department of Architecture and Architectural Engineering, Yonsei University)
- Published : 2022.06.20
Abstract
This study aims to review the use of graph databases in construction research. Based on the diagnosis of the current research status, a future research direction is proposed. The use of graph databases in construction research has been increasing because of the efficiency in expressing complex relations between entities in construction big data. However, no study has been conducted to review systematically the status quo of graph databases. This study analyzes 42 papers in total that deployed a graph model and graph database in construction research, both quantitatively and qualitatively. A keyword analysis, topic modeling, and qualitative content analysis were conducted. The review identified the research topics, types of data sources that compose a graph, and the graph database application methods and algorithms. Although the current research is still in a nascent stage, the graph database research has great potential to develop into an advanced stage, fused with artificial intelligence (AI) in the future, based on the active usage trends this study revealed.