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Bio-Ontology Research Group
Bio-Ontology Research Group

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  3. MOWL

mOWL

Python library for machine learning with biomedical ontologies. Unifies projection-, axiom- and geometric-embedding methods (EL Embeddings, ELBE, BoxSquaredEL, OWL2Vec*, DL2Vec, OPA2Vec) behind one API, with first-class OWLAPI access and PyTorch integration.

Get it

  • GitHub: https://github.com/bio-ontology-research-group/mowl ★ 91
  • Homepage: https://mowl.readthedocs.io

Developed in projects

  • IBNSINA-QI: Integrating Biomedical Networks and Semantic Information for Neural network Analysis of Quantitative Information
  • Towards sound, complete, and explainable machine learning with biomedical ontologies (CRG11)

Category: Ontology Embedding & Machine Learning

Related Highlights

IBNSINA-QI: Integrating Biomedical Networks and Semantic Information for Neural network Analysis of Quantitative Information — research illustration

IBNSINA-QI: Integrating Biomedical Networks and Semantic Information for Neural network Analysis of Quantitative Information

Fri, Jan 1 2021 - Sun, Dec 31 2023

Applied Ontology Neuro-Symbolic AI Rare disease

Towards sound, complete, and explainable machine learning with biomedical ontologies (CRG11) — research illustration

Towards sound, complete, and explainable machine learning with biomedical ontologies (CRG11)

Sun, Jan 1 2023 - Thu, Dec 31 2026

Applied Ontology Neuro-Symbolic AI Ontology engineering Semantic similarity

Bio-Ontology Research Group (BORG)

External presence: ORCID · Google Scholar · KAUST Pure · KAUST Repository · GitHub · X (@leechuck) · Mastodon · Bluesky

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