🤖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》)
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Updated
Apr 22, 2020 - Python
🤖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》)
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
Reasoner for the description logic EL+.
Random syntax generator with reasoner and LSTM
Python bindings for upgraded FaCT++ description logic reasoner
An Editor with Generic Semantics for Formal Reasoning About Visual Notations
TRILL is a tableau reasoner able to compute probability of queries from probabilistic knowledge bases.
A Common Lisp Framework for the Semantic Web
An Ontology Visualization & Authoring Workbench for KRSS-Based Description Logic & OWL Reasoners
A neuro-symbolic reasoner for the EL++ description logic.
A novel approach to learning concept embeddings and approximate reasoning in ALC knowledge bases with deep neural networks
A suite of utility functions and applications for engineering OWL ontologies.
A knowledge model to describe information related to social networking platforms (Youtube).
Concept Explorer FX (conexp-fx)
EvoLearner: Learning Description Logics with Evolutionary Algorithms
As often done in node classification on knowledge graphs we use the positive and negative examples to learn concepts in description logics using refinement operators. This way the classifications should not only be accurate but also explainable by looking at the concept, at least for domain experts depending on the ontology.
A simple OWL Knowledge Base for a fictional E-Commerce website selling technological products, with some interesting SPARQL/DL/SQWRL queries.
Protégé Desktop plugin for defeasible reasoning in OWL ontologies using the style of Kraus, Lehmann and Magidor
Materials for the Semantic Web exam: learning the main concepts for the development of information systems based on ontologies.
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