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

A Common Lisp Framework for the Semantic Web

Python bindings for upgraded FaCT++ description logic reasoner

An Editor with Generic Semantics for Formal Reasoning About Visual Notations

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

Reasoner for the description logic EL+.

🤖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》)

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

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

Random syntax generator with reasoner and LSTM

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

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

A Preferential Reasoner for Ontologies

Michael's Description Logic Reasoner Framework

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

Concept Explorer FX (conexp-fx)

EvoLearner: Learning Description Logics with Evolutionary Algorithms

LogMap extension for conservativity principle