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- W4384408051 abstract "Building Information Modelling (BIM) assured a collaborative workflow for the AEC disciplines; however, the current workflows especially in the building performance disciplines are still sequential, fragmented, and served by diverse software. One of the main reasons for that is the building performance domain has multiple native performance models and data schemas from a wide variety of simulation tools, which leads to incompatible, incomplete, or redundant information in the current performance analysis workflows. Consequently, a different workflow is needed in the building performance modeling discipline. This research focuses on a new paradigm that consists of a holistic ontological framework for building performance modeling with cloud and semantic web technologies, which is founded on a knowledge-graph-driven database management system." @default.
- W4384408051 created "2023-07-16" @default.
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- W4384408051 date "2023-07-10" @default.
- W4384408051 modified "2023-09-30" @default.
- W4384408051 title "Holistic building performance model with semantic web technologies" @default.
- W4384408051 doi "https://doi.org/10.35490/ec3.2023.334" @default.
- W4384408051 hasPublicationYear "2023" @default.
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