Quantities, Units, Dimensions and Values (QUDV)¶
The Quantities, Units, Dimensions and Values (QUDV) ontology is a formal representation of the SysML QUDV modelLibrary, providing a standardized vocabulary for describing quantities, units, dimensions, and values in scientific and engineering domains. QUDV is specified in UML/SysML class/block diagrams and is designed to support interoperability and alignment with other standardization efforts concerning quantities and units. The ontology enables the semantic annotation of measurement data, supporting unit conversion, dimensional analysis, and data integration across diverse systems. QUDV is used in systems engineering, modeling and simulation, and scientific data management to ensure consistency and comparability of quantitative information. By providing a common framework, QUDV facilitates automated reasoning, validation, and knowledge sharing in multidisciplinary projects. The ontology is maintained by the SysML community and is aligned with other units and measurements ontologies for broader compatibility.
Example Usage: Annotate a systems engineering model with QUDV terms to specify the quantities measured (e.g., “length”, “mass”), their units (e.g., “meter”, “kilogram”), and dimensions, enabling automated unit conversion and validation across engineering tools.
Metrics & Statistics¶
Total Nodes |
186 |
Total Edges |
491 |
Root Nodes |
4 |
Leaf Nodes |
20 |
Classes |
33 |
Individuals |
0 |
Properties |
25 |
Maximum Depth |
21 |
Minimum Depth |
0 |
Average Depth |
8.44 |
Depth Variance |
24.45 |
Maximum Breadth |
17 |
Minimum Breadth |
1 |
Average Breadth |
8.00 |
Breadth Variance |
22.18 |
Term Types |
0 |
Taxonomic Relations |
9 |
Non-taxonomic Relations |
0 |
Average Terms per Type |
0.00 |
Usage Example¶
Use the following code to import this ontology programmatically:
from ontolearner.ontology import QUDV
ontology = QUDV()
ontology.load("path/to/QUDV-ontology.owl")
# 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