license: mit
language:
- en
tags:
- OntoLearner
- ontology-learning
- agricultural
pretty_name: Agricultural
Agricultural Domain Ontologies
Overview
Agricultural ontologies encompass formal knowledge representations of farming systems, crops, food production, and agricultural vocabularies, providing structured taxonomies and semantic relationships that model the complex interactions within agricultural domains. These ontologies capture critical concepts including crop varieties, growth cycles, farming practices, soil properties, irrigation methods, pest management, harvest techniques, food processing chains, nutritional values, agricultural economics, and regional farming terminologies. By standardizing agricultural knowledge in machine-readable formats, these ontologies enable interoperability between agricultural information systems and enhance data integration for agricultural research. The OntoLearner library's collection of these domain-specific resources promotes ontology reuse, standardization, and benchmarking for automated ontology learning applications in agricultural contexts.
Ontologies
| Ontology ID | Full Name | Classes | Properties | Last Updated |
|---|---|---|---|---|
| FoodOn | Food Ontology (FoodON) | 47261 | 197 | 2025-01-16 |
| AGROVOC | AGROVOC Multilingual Thesaurus (AGROVOC) | 35 | 209 | August 12, 2024 |
| PO | Plant Ontology (PO) | 1874 | 13 | None |
Dataset Files
Each ontology directory contains the following files:
<ontology_id>.<format>- The original ontology fileterm_typings.json- Dataset of term to type mappingstaxonomies.json- Dataset of taxonomic relationsnon_taxonomic_relations.json- Dataset of non-taxonomic relations<ontology_id>.rst- Documentation describing the ontology
Usage
These datasets are intended for ontology learning research and applications.