Journal Article

·2026 OPEN ACCESS

The Extraction of BIM/IFC Model for LADM Legal Spaces

Ainn Zamzuri , Alias Abdul Rahman , Muhammad Imzan Hassan , Mehmet Alkan YTU

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Abstract

Abstract. Strata management in Malaysia faces persistent challenges due to delays in strata title issuance, fragmented data systems, and inefficiencies in legal space administration. Integrating Building Information Modelling (BIM) with the Land Administration Domain Model (LADM) offers a structured approach to addressing these issues. This study explores the extraction of Industry Foundation Classes (IFC) elements from BIM models to enhance the representation of legal spaces within the Malaysian LADM country profile. The research focuses on mapping key IFC elements such as IfcSpaces, IfcBuildingElements, and ownership attributes to LADM classes for strata title registration. Using Google Colab for data extraction and Enterprise Architect for schema mapping, the methodology ensures seamless integration between spatial and legal property data. The results demonstrate the potential of BIM-IFC in supporting 3D property rights visualisation and legal space definition, contributing to a more efficient, transparent, and data-driven approach to strata property management.

Keywords

Schema (genetic algorithms) Property (philosophy) Visualization Land administration Data integration Representation (politics) Information extraction Property rights Knowledge extraction Space (punctuation) Computer science

Subject Areas

3D Modeling in Geospatial Applications ·Building and Construction ·Physical Sciences
BIM and Construction Integration ·Building and Construction ·Physical Sciences
3D Surveying and Cultural Heritage ·Geology ·Physical Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Peace, Justice and strong institutions 55%