Knowledge-based semantic web technologies in the AEC sector

doi:10.1016/j.autcon.2024.105686

Knowledge-based semantic web technologies in the AEC sector

2024-11-01

0

PRE

AI

X

Xiaohan Shen

S

Samad M. E. Sepasgozar *

M

Michael J. Ostwald

DOI：10.1016/j.autcon.2024.105686

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Abstract

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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.

Keywords:

Semantic web

Linked data

Ontology

Architecture engineering and construction

AEC knowledge graph

Information management

Systematic review

Knowledge-based semantic web technologies in the AEC sector

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