mOWL: Machine Learning Library with Ontologies

mOWL is a library that provides different machine learning methods in which ontologies are used as background knowledge. mOWL is developed mainly in Python, but we have integrated the functionalities of OWLAPI, which is written in Java, for which we use JPype to bind Python with the Java Virtual Machine (JVM).

Table of contents

• Installation
• List of contributors
• License
• Documentation
• Changelog

Installation

System dependencies

• JDK version >= 11
• Python version: 3.8, 3.9, 3.10, 3.11
• Conda version >= 4.x.x

Python requirements

• Gensim >= 4.x.x
• PyTorch >= 1.12.x
• PyKEEN >= 1.10.1

Install from PyPi

pip install mowl-borg

Install from source

pip install git+https://github.com/bio-ontology-research-group/mowl

List of contributors

• Fernando Zhapa
• Maxat Kulmanov
• Sarah Alghamdi
• Robert Hoehndorf
• Carsten Jahn
• Sonja Katz
• Marco Anteghini
• Francesco Gualdi
• luis-sribeiro
• Leduin Cuenca (logo)

License

This software library is distributed under the BSD-3-Clause license

Documentation

Full documentation and API reference can be found in our ReadTheDocs website.

ChangeLog

ChangeLog is available in our changelog file and also in the release section.

Citation

If you used mOWL in your work, please consider citing this article:

@article{10.1093/bioinformatics/btac811,
    author = {Zhapa-Camacho, Fernando and Kulmanov, Maxat and Hoehndorf, Robert},
    title = "{mOWL: Python library for machine learning with biomedical ontologies}",
    journal = {Bioinformatics},
    year = {2022},
    month = {12},
    issn = {1367-4803},
    doi = {10.1093/bioinformatics/btac811},
    url = {https://doi.org/10.1093/bioinformatics/btac811},
    note = {btac811},
    eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btac811/48438324/btac811.pdf},
}