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PROcess Chemistry Ontology (PROCO)
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Overview
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PROCO (PROcess Chemistry Ontology) is a formal ontology that aims to standardly represent entities
and relations among entities in the domain of process chemistry.
:Domain: Chemistry
:Category: Chemicals, Processes
:Current Version: 04-14-2022
:Last Updated: 04-14-2022
:Creator: Anna Dun, Wes A. Schafer, Yongqun "Oliver" He (YH), Zachary Dance
:License: Creative Commons 4.0
:Format: OWL
:Download: `PROcess Chemistry Ontology (PROCO) Homepage <https://github.com/proco-ontology/PROCO>`_
Graph Metrics
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- **Total Nodes**: 6258
- **Total Edges**: 11796
- **Root Nodes**: 89
- **Leaf Nodes**: 4646
Knowledge coverage
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- Classes: 970
- Individuals: 14
- Properties: 61
Hierarchical metrics
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- **Maximum Depth**: 15
- **Minimum Depth**: 0
- **Average Depth**: 3.35
- **Depth Variance**: 8.54
Breadth metrics
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- **Maximum Breadth**: 228
- **Minimum Breadth**: 1
- **Average Breadth**: 60.19
- **Breadth Variance**: 4521.40
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 14
- **Taxonomic Relations**: 2975
- **Non-taxonomic Relations**: 1
- **Average Terms per Type**: 7.00
Usage Example
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.. code-block:: python
from ontolearner.ontology import PROCO
# Initialize and load ontology
ontology = PROCO()
ontology.load("path/to/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
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