Abstract
The study sought to investigate what type of information and how ontologies, in combination with Building Information Modelling, Semantic Web Technology, and life cycle assessment framework, can support CWQ. A semantic framework is proposed to quantify the impacts of construction waste (CW) generation and inform optimal material choices for decision-making in the design stages. This chapter discusses the potentialities of the proposed CWQ workflow observed during the design, development, implementation, and validation of the framework. This includes the following: (i) a granular set of CW indicators promises quantification and optimisation accuracy and transparency, (ii) standardised CW data ensures interoperability and automation, (iii) diverse CW measurement units ensure integrated decision-making, (iv) the use of Uniclass classification system enhances the material optimisation choices, (v) the semantic relationships established using an ontology unify the difference between material and CW characterisation codes, and (vi) the proposed CWQ framework would act as an integrated CW data hub supporting BIM Level 3 adoption.
| Original language | English |
|---|---|
| Title of host publication | Enhancing Interoperability and Automation of Construction Waste Quantification |
| Subtitle of host publication | Integration of Building Information Modelling and Semantic Web Technology |
| Publisher | Routledge |
| Number of pages | 6 |
| ISBN (Electronic) | 9781003610762 |
| DOIs | |
| Publication status | Published - 28 Jul 2025 |
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