Modeling multiple space views for schematic building design using space ontologies and layout transformation operations

Abstract

Modeling multiple views of spaces involves mapping or transformation between multiple models. Automated model transformation is challenging as semantic and spatial criteria need to be considered. This paper proposes a novel method and data processing pipeline to define space views and semi-automatically transform room-based building data created in BIM authoring systems into multi-view space models. The method is based on space ontologies and their integration with space layout transformation operations. It is used to define a set of functional views that are relevant to schematic building design. An existing space modeling system is extended with the method and data processing pipeline. Results from a validation study show that the method can cover specific semantic and spatial aspects of space views. Both are relevant for consistent model transformation and accurate analysis. Results further show that it is feasible to fully automate data processing steps, except for space classification, which is semi-automated.