🎤 Transform spoken phrases into OWL ontologies, making it easy to create structured data from voice. Ideal for developers and researchers alike.

Ontology-driven KRR system for explainable mental health risk awareness. Uses OWL, RDF, SWRL, and SPARQL to reason over emotions and symptoms extracted from text and generate transparent causal “why” explanations for inferred risk patterns.

A Store back-end for rdflib to allow for reading and querying HDT documents

Script to convert a thesaurus which uses a string as identifier to using an autonumber.

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Python bindings for upgraded FaCT++ description logic reasoner

Fast RDF serialization for Python

A Semantic Web application that represents proverbs as an OWL-based ontology using RDF and Turtle. The project integrates a Python pipeline to generate the knowledge graph from a dataset and a Streamlit interface to query and explore proverbs via SPARQL based on themes, sub-themes, regions, and sources.

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

A modern, lightweight SPARQL 1.1 client for Python. Built on pycurl for high performance.

💫 Deploy SPARQL endpoints from RDFLib Graphs to serve RDF files, machine learning models, or any other logic implemented in Python

Python client for searching, publishing and modifying nanopublications.

Scripts to produce JudaicaLink datasets.

Skosprovider implementation backed by RDF

A library to generate rdf files in turtle format for Judaicalink.

A JSON to RDF Transformer library that maps arbitrary JSON to RDF using heuristics and ontologies.

Turtle parser

A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph with all possible triples that OWL RL defines. It can be used together with RDFLib to expand an RDFLib Graph object, or as a stand alone service with its own serialization.

Supporting material for the Open Risk Academy course: "An introduction to Semantic Python"

Research-centered ontology (OWL/Turtle + SHACL) for multi-perspective agents, diversity, energy gradients; rdflib tooling; GraphDB-ready.