Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.

Python bindings for upgraded FaCT++ description logic reasoner

A Common Lisp Framework for the Semantic Web

An Editor with Generic Semantics for Formal Reasoning About Visual Notations

Reasoner for the description logic EL+.

Protégé Desktop plugin for defeasible reasoning in OWL ontologies using the style of Kraus, Lehmann and Magidor

A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with deep neural networks

🤖Man-machine conversation system base on owlready2, inspirited by an Korean TV play (基于 owlready2 的问答系统。灵感来自韩剧《金秘书你为何这样》)

TRILL is a tableau reasoner able to compute probability of queries from probabilistic knowledge bases.

DLMAPS = Description Logic Maps: Ontology-Based Spatial Queries to Digital City Maps

An Ontology Visualization & Authoring Workbench for KRSS-Based Description Logic & OWL Reasoners

Materials for the Semantic Web exam: learning the main concepts for the development of information systems based on ontologies.

Michael's Description Logic Reasoner Framework

A Preferential Reasoner for Ontologies

Random syntax generator with reasoner and LSTM

A neuro-symbolic reasoner for the EL++ description logic.

LLM-Driven Knowledge Extraction: Results in Temporal and Description Logics

web-based visualization tool for explaining reasoning with OWL ontologies and supporting debugging

EvoLearner: Learning Description Logics with Evolutionary Algorithms

SHAR: Scala + HermiT API and REPL; tools for description logics in Scala.