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- W4384405429 abstract "Despite the promising benefits of data-driven applications to improve building performance, they are still developed on an ad-hoc basis, mainly due to the burden of discovering and reusing building data across deployment sites. Recent efforts in semantic data modelling aim to overcome these barriers, though application development remains building-specific, leading to bespoke configurations that cannot scale. This research seeks to establish a new regime of data-driven applications that are developed once and run across multiple buildings — similarly to the applications we download and use in our mobile phones. This research contributes to realising this vision in two ways: introducing (a) a method for automatic building metadata model generation through the lifecycle, and (b) a portable application development paradigm that offsets the burden of configuration in the authoring process. An overview of this vision and contributions are illustrated in Figure 1. These advancements are expected to overcome expertise barriers, reduce time for applications’ configuration and deployment, and thus, accelerate their adoption at scale." @default.
- W4384405429 created "2023-07-16" @default.
- W4384405429 creator A5053285315 @default.
- W4384405429 date "2023-07-10" @default.
- W4384405429 modified "2023-09-30" @default.
- W4384405429 title "Enabling scalable deployment of data-driven applications across building portfolios" @default.
- W4384405429 doi "https://doi.org/10.35490/ec3.2023.342" @default.
- W4384405429 hasPublicationYear "2023" @default.
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