Visualization Analysis of Cross Research between Big Data and Construction Industry Based on Knowledge Graph

Abstract

Big data technology has triggered a boom in research and applications around the world. The construction industry has ushered in a new technological change in this context. Researchers have conducted in-depth research on the intersection of big data and architecture, but lack quantitative analysis and comprehensive evaluation of the research results. This article draws a series of knowledge maps with the help of the CiteSpace software using the relevant literature in the Web of Science database between 2007 and 2022 as data samples to comprehensively grasp the research development at the intersection of big data and the construction industry. The knowledge base, research hotspots, and domain evolution trends in the intersection of big data and the construction industry are analyzed quantitatively and aided by qualitative analysis through visualization, respectively. The results show that Chinese and American scholars have published more relevant papers in international journals, and some well-known universities in both countries constitute the main group of research institutions. The research hotspots are BIM, data mining, building energy saving, smart cities, and disaster prevention and damage prevention. In the future, the research on the integration and application of the construction industry with emerging technologies, such as big data, BIM, and cloud computing will be connected more closely. This study provides a preliminary overall picture of the research of big data in the field of construction by sorting out and analyzing the existing results.

Manipulating selective amine transformation pathways via cocatalyst-modified monolayer ZnIn2S4 photocatalysts

“…The peaks at 3291 cm −1 and 3370 cm −1 in the spectra of RuS 2 /ZIS, and at 3297 cm −1 and 3365 cm −1 on the spectra of Cu 2 S/ZIS with reduced intensity can be assigned to the symmetrical stretching vibration (V s ) and asymmetrical stretching vibration (V as ) of the N-H bond, respectively. 41 The peaks at 3027 cm −1 , 3061 cm −1 and 3084 cm −1 in the spectrum of RuS 2 /ZIS, and the characteristic peaks at 3023 cm −1 , 3064 cm −1 and 3082 cm −1 in the spectrum of Cu 2 S/ZIS, are assigned to the stretching vibration of the C-H bond in the benzene ring. 41,42 The new band formed at 1643 cm −1 in Fig.…”

“…41 The peaks at 3027 cm −1 , 3061 cm −1 and 3084 cm −1 in the spectrum of RuS 2 /ZIS, and the characteristic peaks at 3023 cm −1 , 3064 cm −1 and 3082 cm −1 in the spectrum of Cu 2 S/ZIS, are assigned to the stretching vibration of the C-H bond in the benzene ring. 41,42 The new band formed at 1643 cm −1 in Fig. 5d corresponds to the CN dual bond, 43 indicating the generation of imines.…”

Digital Technologies, Sustainability, and Efficiency in Grain Post-Harvest Activities: A Bibliometric Analysis

“…In conclusion, there is growing interest and research at the intersection of Big Data and the construction industry. Quantitative and qualitative analyses by CiteSpace software identify research trends, leading institutions, and hot topics, contributing to a deeper understanding of the development and emphasis areas in this evolving field [36].…”

Justifying the Effective Use of Building Information Modelling (BIM) with Business Intelligence

“…The use of BIM together with other ICTs has enriched data analysis in AECO [21,24]. Regarding the AECO project as a business process, AECO data processing encompasses the procures of data collection, integration, and analysis for further decision making [25][26][27]. In spite of the different approaches followed, the principal goal of BIM use is to facilitate efficient AECO practices [28,29].…”