Conor Shaw , Flávia de Andrade Pereira , Martijn de Riet , Cathal Hoare , Karim Farghaly , James O’Donnell
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引用次数: 0
Abstract
The built environment is a key leverage point for policy intervention to combat climate change and the statutory reporting of financial and non-financial indicators over the asset lifecycle is increasingly required. This poses significant information management challenges in a sector characterised by complexity. Contributions to-date which address Life Cycle Asset Information Management (LCAIM) remain siloed and difficult to generalise, resulting in limited in-practice uptake, but domain literature identifies graph databases and ontologies as suitable strategies for addressing this information-intensive challenge. This paper provides a LCAIM ontology, co-developed with stakeholders, and verified technically through implementation in a case study by responding to end-user-defined storage, retrieval, and enrichment functions using a knowledge graph. The prototype is then validated qualitatively with experts who perceive it as addressing collective governance-practice requirements. Overall, the study suggests that addressing technical LCAIM challenges may be feasible using available technologies and recommends prioritising research towards socio-economic issues.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.