KG-SaF: Data and Workflow Documentation
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KG-SaF-Data and KG-SaF-JDeX from "Diliso, I., Barile, R., d'Amato, C., & Fanizzi, N. (2025). KG-SaF: Building Complete and Curated Datasets for Machine Learning and Reasoning on Knowledge Graphs (Version 0.0.0.1) [Computer software]. https://doi.org/10.5281/zenodo.17817931"

**KG-SaF** provides a workflow (*KG-SaF-JDeX*) and curated datasets  (*KG-SaF-Data*) for knowledge graph refinement (KGR) research. The resource includes datasets with both **schema (ontologies)** and **ground facts**, making it ready for **machine learning** and **reasoning services**.



Key Features
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- 🗂️ Extracts datasets from RDF-based KGs with expressive schemas (RDFS/OWL2)  
- 📦 Provides datasets in **OWL** and **TSV** formats, easily loadable in both **PyTorch** and **Protege**  
- ⚡ Handles inconsistencies and leverages reasoning to infer implicit knowledge
- 🤖 Provides ML-ready **tensor representations** compatible with PyTorch and PyKEEN  
- 🧩 Offers **schema decomposition** into themed partitions (modularization of ontology components)

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   quick
   tutorial
   data
   jdex


.. toctree::
   :maxdepth: 2
   :caption: Appendix:

   reference