1. Technology opportunity discovery linking artificial intelligence and construction technologies: A graph convolution network-based approach.
- Author
-
Li, Kaijian, Shan, Tianlong, Wu, Hongjuan, Zou, Zhe, Huang, Ruopeng, Chang, Ruidong, and Shrestha, Asheem
- Subjects
- *
COMPUTER vision equipment , *SPATIOTEMPORAL processes , *ARTIFICIAL intelligence , *CONSTRUCTION industry , *TECHNOLOGY convergence , *PATENTS - Abstract
The advancement of digital technology has driven innovation across industries. Artificial intelligence (AI) as a pivotal digital technology, has the potential to stimulate innovative outcomes when converged with construction technologies. However, current research has yet to accurately discover promising technology opportunities between AI and construction. To fill this gap, this study uses patent data to develop a holistic approach for precisely discovering technology opportunities. It focuses on analyzing technology convergence from two distinct perspectives: the "degree" and "value" of convergence. The technology convergence degree is measured based on the semantic network and graph convolution network (GCN) method. The technology convergence value is calculated according to patent attribute metrics. Analysis of the spatial-temporal evolution of technology convergence reveals the irreversible convergence trend between AI and construction. This study further identifies key opportunities, such as the convergence of computer vision and construction equipment technology, which have the potential to advance the construction industry. Technology opportunities are also identified both at global and national levels, providing strategic insights that could guide industry regulatory authorities. [Display omitted] • A framework is proposed to identify the technology opportunities from a technology convergence perspective. • The spatio-temporal evolution trend of the convergence between AI and construction technology is revealed. • The key convergence fields of both global and national convergence of AI and construction technologies are discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF