Building information modelling knowledge harvesting for energy efficiency in the Construction industry
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ORIGINAL PAPER
Building information modelling knowledge harvesting for energy efficiency in the Construction industry Andrei Hodorog1 · Ioan Petri1 · Yacine Rezgui1 · Jean‑Laurent Hippolyte1 Received: 12 August 2020 / Accepted: 18 November 2020 © The Author(s) 2020
Abstract The recent adoption of building information modelling (BIM), and the quest to decarbonise our built environment, has impacted several segments of the supply chain, including design and engineering practitioners, prompting the need to redefine the construction personnel positions along with associated skills and competencies. The research informs ways in which practitioners can fully embrace the potential of BIM for energy efficiency to promote sustainable interventions by improving existing training practices and identifying new training requirements as BIM evolves and as practitioners’ ICT (Information and Communications Technology) maturity levels improve. This is achieved by adopting a novel text-mining approach which analyses social media alongside secondary sources of evidence to establish a level of correlation between BIM roles and skills. The use of ontological dependency analysis has helped to understand the degree of correlation of skills with roles as a method to inform training and educational programmes. A key outcome from the research is a semantic webbased mining environment which determines BIM roles and skills, as well as their correlation factor, with an application for energy efficiency. The paper also evidences that (a) construction skills and roles are dynamic in nature and evolve over time, reflecting the digital transformation of the Construction industry, and (b) the importance of socio-organisational aspects in construction skills and related training provision.
* Ioan Petri [email protected] Andrei Hodorog [email protected] Yacine Rezgui [email protected] Jean‑Laurent Hippolyte [email protected] 1
BRE Institute of Sustainable Engineering, School of Engineering, Cardiff University, 52 The Parade, Cardiff, UK
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Graphic abstract
Keywords Data mining · Construction digitalisation · Building information modelling · Energy efficiency · Skills · Roles
Introduction Construction is an information-intensive industry. This wealth of information is used to design, construct, operate, and decommission buildings. The advent of the Internet and its by-products, mainly social media and the IoT (Internet of Things), have dramatically expanded this volume of data and information. This presents a unique opportunity for data analysis and interpretation to improve the quality, sustainability, and resilience of our buildings. Text-mining and clustering techniques provide the opportunity to enhance the understanding of the implications of BIM on the supply chain as well as updating existing competencies and skills accordingly. The Construction industry is historically known to be highly disintegrated and often depicted as involving a culture of “adversarial relationsh
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