---
license: mit
language:
- en
tags:
- OntoLearner
- ontology-learning
- events
pretty_name: Agricultural
---
<div>
  <img  src="https://raw.githubusercontent.com/sciknoworg/OntoLearner/main/images/logo.png"  alt="OntoLearner"
    style="display: block; margin: 0 auto; width: 500px; height: auto;">
  <h1 style="text-align: center; margin-top: 1em;">Events Domain Ontologies</h1>
</div>

## Overview
The events domain encompasses ontologies designed to systematically represent and model occurrences, temporal intervals, and scheduling constructs within a structured framework. This domain is pivotal in knowledge representation as it facilitates the semantic integration and interoperability of event-related data across diverse systems, enabling precise temporal reasoning and efficient management of calendar-based activities. By providing a formalized vocabulary and structure, it enhances the ability to query, share, and analyze event information in a coherent and meaningful manner.

## Ontologies
| Ontology ID | Full Name | Classes | Properties | Last Updated |
|-------------|-----------|---------|------------|--------------|
| Conference | Conference Ontology (Conference) | 42 | 52 | 2016/04/30|
| iCalendar | iCalendar Vocabulary (iCalendar) | 54 | 49 | 2004/04/07|
| LODE | Linking Open Descriptions of Events (LODE) | 1 | 7 | 2020-10-31|

## Dataset Files
Each ontology directory contains the following files:
1. `<ontology_id>.<format>` - The original ontology file
2. `term_typings.json` - Dataset of term to type mappings
3. `taxonomies.json` - Dataset of taxonomic relations
4. `non_taxonomic_relations.json` - Dataset of non-taxonomic relations
5. `<ontology_id>.rst` - Documentation describing the ontology

## Usage
These datasets are intended for ontology learning research and applications.