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A package for ontology engineering with deep learning and language models.
| Date | Stars |
|---|---|
| 2026-07-31 | 309 |
| 2026-08-03 | 309 |
| 2026-08-06 | 309 |
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Copyright 2021 Yuan He (KRR-Oxford). All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
<p align="center">
<a href="https://krr-oxford.github.io/DeepOnto/">
<img alt="deeponto" src="https://raw.githubusercontent.com/KRR-Oxford/DeepOnto/main/docs/images/icon.svg">
</a>
</p>
<p align="center">
<a href="https://github.com/KRR-Oxford/DeepOnto/blob/main/LICENSE">
<img alt="license" src="https://img.shields.io/github/license/KRR-Oxford/DeepOnto">
</a>
<a href="https://krr-oxford.github.io/DeepOnto/">
<img alt="docs" src="https://img.shields.io/badge/website-online-informational">
</a>
<a href="https://pypi.org/project/deeponto/">
<img alt="pypi" src="https://img.shields.io/pypi/v/deeponto">
</a>
<a href="https://github.com/KRR-Oxford/DeepOnto">
<img alt="stars" src="https://img.shields.io/github/stars/KRR-Oxford/DeepOnto">
</a>
</p>
<h4 align="center">
<p>
<a href="https://krr-oxford.github.io/DeepOnto/">Docs</a> |
<a href="https://github.com/KRR-Oxford/DeepOnto">GitHub</a> |
<a href="https://arxiv.org/abs/2307.03067">arXiv</a> |
<a href="https://content.iospress.com/articles/semantic-web/sw243568">Paper</a>
</p>
</h4>
<h3 align="center">
<p>A package for ontology engineering with deep learning.</p>
</h3>
## About
$\textsf{DeepOnto}$ aims to provide building blocks for implementing deep learning models, constructing resources, and conducting evaluation for various ontology engineering purposes.
- **Documentation**: *<https://krr-oxford.github.io/DeepOnto/>*.
- **Github Repository**: *<https://github.com/KRR-Oxford/DeepOnto>*.
- **PyPI**: *<https://pypi.org/project/deeponto/>*.
Check the complete [changelog](https://krr-oxford.github.io/DeepOnto/changelog/) and [FAQs](https://krr-oxford.github.io/DeepOnto/faqs/).
## Installation
### OWLAPI
$\textsf{DeepOnto}$ relies on [OWLAPI](http://owlapi.sourceforge.net/) version 4.5.22 (written in Java) for ontologies.
We follow what has been implemented in [mOWL](https://mowl.readthedocs.io/en/latest/index.html) that uses [JPype](https://jpype.readthedocs.io/en/latest/) to bridge Python and Java Virtual Machine (JVM). Please check JPype's [installation page](https://jpype.readthedocs.io/en/latest/install.html#) for successful JVM initialisation.
### Pytorch
$\textsf{DeepOnto}$ relies on [Pytorch](https://pytorch.org/) for deep learning framework.
We recommend installing Pytorch prior to installing $\textsf{DeepOnto}$ following the commands listed on the [Pytorch webpage](https://pytorch.org/). Notice that users can choose either GPU (with CUDA) or CPU version of Pytorch.
In case the most recent Pytorch version causes any incompatibility issues, use the following command (with `CUDA 11.6`) known to work:
```bash
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
```
Basic usage of $\textsf{DeepOnto}$ does not rely on GPUs, but for efficient deep learning model training, please make sure `torch.cuda.is_available()` returns `True`.
### Install from PyPI
Other dependencies are specified in `setup.cfg` and `requirements.txt` which are supposed to be installed along with `deeponto`.
```bash
# requiring Python>=3.8
pip install deeponto
```
We have been informed that `openprompt` has a conflict with several other packages that can be hardly addressed on MacOS with M1, so we now set it as an optional dependency. HoweveExcerpt of 12,567 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a62c62263df76f42, llm:Repository topics: deep-learning, language-model, ontologies, ontology-engineering, owlapi; description/readme: 'A package for ontology engineering with deep learning and language models' and 'building blocks for implementing deep learning models, constructing resources, and conducting evaluation'
matched fp:a62c62263df76f42, llm:Repository topics: deep-learning, language-model, ontologies, ontology-engineering, owlapi; description/readme: 'A package for ontology engineering with deep learning and language models' and 'building blocks for implementing deep learning models, constructing resources, and conducting evaluation'
matched fp:a62c62263df76f42, llm:Repository topics: deep-learning, language-model, ontologies, ontology-engineering, owlapi; description/readme: 'A package for ontology engineering with deep learning and language models' and 'building blocks for implementing deep learning models, constructing resources, and conducting evaluation'