Units of Measurement Ontology (UO)

The Units of Measurement Ontology (UO) is a domain ontology designed to provide a standardized vocabulary for metrical units, particularly for use with the Phenotype and Trait Ontology (PATO) and other biomedical ontologies [1] [2]. UO covers a wide range of measurement units, including SI units, derived units, and commonly used non-SI units, supporting the annotation of quantitative data in biological, medical, and scientific research [1] [2]. The ontology enables semantic interoperability and data integration by providing unique identifiers and structured relationships for units and measurement concepts [2]. UO is widely used in bioinformatics, clinical informatics, and scientific data repositories to ensure consistency and comparability of measurement data [2]. By providing a common framework for units of measurement, UO facilitates automated data analysis, semantic search, unit-aware annotation, and cross-study comparison [1] [2]. The ontology is maintained as part of the OBO Foundry ontology ecosystem [1].

Example Usage: Annotate a biomedical dataset with UO terms to specify measurement units for phenotypic traits, such as UO:0000016 for centimeter or UO:0000021 for gram. This enables semantic search, consistent quantitative annotation, and comparison of measurement data across biomedical datasets [1] [2].

Breadth Metrics

Maximum Breadth

11

Minimum Breadth

1

Average Breadth

4.40

Breadth Variance

13.84
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

708

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 UO

ontology = UO()
ontology.load("path/to/UO-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

References