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Semantic web technologies in AEC industry: A literature overview

Over the recent years, the usage of semantic web technologies has notably increased in the domains of architecture, engineering and construction (AEC). These technologies are typically considered as complementary to existing and often used Building Information Modelling (BIM) software. The usage of...

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Bibliographic Details
Published in:Automation in construction 2017-01, Vol.73, p.145-165
Main Authors: Pauwels, Pieter, Zhang, Sijie, Lee, Yong-Cheol
Format: Article
Language:English
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Summary:Over the recent years, the usage of semantic web technologies has notably increased in the domains of architecture, engineering and construction (AEC). These technologies are typically considered as complementary to existing and often used Building Information Modelling (BIM) software. The usage of these technologies in the AEC domains is thereby motivated by (1) a desire to overcome the interoperability issue among software tools used in diverse disciplines, or at least improve information exchange processes; (2) a desire to connect to various domains of application that have opportunities to identify untapped valuable resources closely linked to the information already obtained in the AEC domains; and/or (3) a desire to exploit the logical basis of these technologies, which is currently undisclosed in the AEC domains. Through an extensive literature study and survey, this article investigates the development and application progress of semantic web technologies in the AEC domains in accordance with these three primary perspectives. These examinations and analyses provide a complete strategical map that can serve as a robust stepping stone for future research regarding the application of semantic web technologies in the AEC domains. Results show that semantic web technologies have a key role to play in logic-based applications and applications that require information from multiple application areas (e.g. BIM + Infra + GIS + Energy). Notwithstanding fast developments and hard work, challenging research opportunities are situated in (1) the creation and maintenance of the links between the various data sets and in (2) devising beneficial implementation approaches that rely on appropriate combinations of declarative and procedural programming techniques, semantic and legacy data formats, user input, and automated procedures. •Review papers reveal use cases that can be addressed with semantic web technologies.•A literature review reveals the proposed benefits of semantic web technologies.•Benefits are situated in interoperability, linking data, and logical inference.•Key example studies are documented in support of these three topical axes.•An indication is given of industrial value for each of these topical axes.
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2016.10.003