IFC BIM Model Enrichment with Space Function Information Using Graph Neural Networks

IFC BIM Model Enrichment with Space Function Information Using Graph Neural Networks

The definition of room functions in Building Information Modeling (BIM) using IfcSpace entities is an important quality requirement that is often not fulfilled. This paper presents a three-step method for enriching open BIM representations based on Industry Foundation Classes (IFC) with room functio...

Full description

Bibliographic Details
Main Authors: Blank-Landeshammer, B. (Author), Buruzs, A. (Author), Šipetić, M. (Author), Zucker, G. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Architectural design
architecture model enrichment
Architecture model enrichment
Architecture modeling
BIM
Building Information Modelling
Class models
Classification (of information)
Classification accuracy
Convolution
Convolutional networks
Geometry
Graph neural networks
IFC
Ifcspace
IfcSpace
Industry foundation class
Information use
machine learning
Machine learning
Neural-networks
Space functions
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items