General Process Ontology (GPO)¶
The General Process Ontology (GPO) is a domain ontology developed to model processes in materials science and engineering, as well as other scientific and industrial domains. GPO provides a structured vocabulary for representing holistic processes that transform inputs (matter, energy, information) into outputs (products, byproducts, waste) using tools such as devices and algorithms. The ontology supports decomposition of processes into sub-processes, capturing predecessor and successor relationships, and enabling detailed modeling of workflows, manufacturing, and experimental procedures. GPO facilitates semantic annotation of process data, supporting interoperability, data integration, and advanced analytics across research, industry, and regulatory platforms. By providing a standardized framework, GPO enables lifecycle assessment, process optimization, and knowledge sharing in multidisciplinary projects. The ontology is actively maintained and extended to incorporate new process types, technologies, and application domains.
Example Usage: Annotate a manufacturing workflow with GPO terms to specify process steps, input and output materials, tools used, and process dependencies, enabling semantic search and integration with process management systems.
Metrics & Statistics¶
Total Nodes |
548 |
Total Edges |
923 |
Root Nodes |
99 |
Leaf Nodes |
270 |
Classes |
187 |
Individuals |
0 |
Properties |
17 |
Maximum Depth |
6 |
Minimum Depth |
0 |
Average Depth |
1.41 |
Depth Variance |
1.20 |
Maximum Breadth |
223 |
Minimum Breadth |
3 |
Average Breadth |
76.14 |
Breadth Variance |
5799.55 |
Term Types |
0 |
Taxonomic Relations |
0 |
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 GPO
ontology = GPO()
ontology.load("path/to/GPO-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