Building Material Ontology (BMO)¶
The Building Material Ontology (BMO) is a domain ontology designed to represent the main concepts, types, layers, and properties of building materials used in construction and civil engineering. BMO provides a structured vocabulary for describing material composition, physical and chemical properties, functional layers, and relationships between materials in building assemblies. The ontology supports semantic annotation of building material data, enabling interoperability between construction databases, digital twins, and building information modeling (BIM) systems. BMO is designed for extensibility, allowing integration with other ontologies and standards for sustainability, performance, and regulatory compliance. By providing a standardized framework, BMO facilitates advanced search, material selection, lifecycle analysis, and knowledge sharing in the construction industry. The ontology is actively maintained and extended to incorporate new materials, technologies, and industry requirements.
Example Usage: Annotate a BIM model with BMO terms to specify the material composition of a wall assembly, including layers (e.g., insulation, concrete, plaster), material properties (e.g., thermal conductivity, fire resistance), and sustainability attributes, enabling semantic search and integration with construction databases.
Metrics & Statistics¶
Total Nodes |
203 |
Total Edges |
420 |
Root Nodes |
83 |
Leaf Nodes |
68 |
Classes |
24 |
Individuals |
12 |
Properties |
62 |
Maximum Depth |
6 |
Minimum Depth |
0 |
Average Depth |
0.91 |
Depth Variance |
1.30 |
Maximum Breadth |
83 |
Minimum Breadth |
1 |
Average Breadth |
27.29 |
Breadth Variance |
1092.20 |
Term Types |
12 |
Taxonomic Relations |
20 |
Non-taxonomic Relations |
0 |
Average Terms per Type |
3.00 |
Usage Example¶
Use the following code to import this ontology programmatically:
from ontolearner.ontology import BMO
ontology = BMO()
ontology.load("path/to/BMO-ontology.ttl")
# Extract datasets
data = ontology.extract()
# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations