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Knowledge-based semantic web technologies in the AEC sector

delete2024-11-01
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PRE
AI
X
Xiaohan Shen
S
Samad M. E. Sepasgozar *
M
Michael J. Ostwald
DOI:10.1016/j.autcon.2024.105686delete
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摘要

摘要

En 中文
Semantic web technologies are essential for seamless data exchange between Building Information Modelling and technologies such as the Internet of Things and Geographic Information Systems. However, rapid advancements complicate their implementation, making past reviews obsolete. This paper investigates recent applications of semantic web technologies in the construction industry and addresses why and where semantic web technologies are adopted, how and when they are used, and what the significant knowledge gaps undermining semantic web technologies' applications are. These questions collectively provide a much-needed context for this evolving field. A systematic literature review covering the past five years identifies 65 relevant papers from 419 works. Findings indicate the dominance of the entire building lifecycle applications (27.7%), and a trend shifting to specific lifecycle stages. This study provides insights into the latest applications of semantic web technologies and their potential to enhance efficiency and interoperability in the AEC sector.
Keyword:
Semantic web
Linked data
Ontology
Architecture engineering and construction
AEC knowledge graph
Information management
Systematic review

期刊

Automation in Construction 封面图
Automation in Construction
IF:
11.5
论文数:
6.3K
被引数:
4.2W

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