This paper proposes a topology-driven semantic integration approach to align as-is and to-be BIM models in building renovation scenarios. Starting from independent IFC files, a surface-based topological analysis infers physically meaningful contacts between envelope objects using coplanarity, opposite orientation, vertical overlap, and an overlap-coverage metric. The detected adjacencies are then represented as cross-model semantic relations by instantiating bot:Interface links between the corresponding bot:Element individuals in a dedicated knowledge graph, preserving model independence. The resulting topology enables cross-model SPARQL queries to extract and aggregate energy-related data at the envelopesystem level without IFC merging or manual data preparation.

Topology-Driven Semantic Integration of Independent BIM Models for Renovation Analysis

Cassandro, Jacopo;Mirarchi, Claudio
2026-01-01

Abstract

This paper proposes a topology-driven semantic integration approach to align as-is and to-be BIM models in building renovation scenarios. Starting from independent IFC files, a surface-based topological analysis infers physically meaningful contacts between envelope objects using coplanarity, opposite orientation, vertical overlap, and an overlap-coverage metric. The detected adjacencies are then represented as cross-model semantic relations by instantiating bot:Interface links between the corresponding bot:Element individuals in a dedicated knowledge graph, preserving model independence. The resulting topology enables cross-model SPARQL queries to extract and aggregate energy-related data at the envelopesystem level without IFC merging or manual data preparation.
2026
Proceedings of the European Conference on Computing in Construction
Energy performance assessment
Knowledge Graphs
Linked Building Data
Semantic integration
Topology-driven analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1329572
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