'Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python', by Caglar Demir et al.

http://jmlr.org/papers/v26/24-1113.html

#owl #ontolearn #sparql

Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python

We are delighted that our paper "ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling" by N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir & Axel Ngonga has been accepted at #IJCAI2024 #MainTrack.๐Ÿคฉ๐Ÿฅณ

๐Ÿ‘‰ In ROCES, we introduce a generalization of the classical class expression learning problem. We also propose a learning algorithm for synthesis-based approaches to solve the generalized learning problem.

#XAI #Ontolearn #machinelearning

๐Ÿš€ Exciting news! ๐Ÿš€

Ontolearn 0.7.0 is now released! This update brings some amazing features:

๐Ÿ” Drill, Tree-based DL Learner (tDL), and CLIP now available!
๐Ÿ“š Introducing the Triple Store Knowledge Base for SPARQL endpoint queries.
๐Ÿ›  Changes to the KnowledgeBase class for triple retrieval and more convenience.

Upgrade now with pip install -U ontolearn and explore the latest enhancements! Check out the release notes here https://github.com/dice-group/Ontolearn/releases/tag/0.7.0

#Ontolearn #DataScience #XAI

Release ontolearn 0.7.0 ยท dice-group/Ontolearn

ontolearn 0.7.0 is now released! Release Notes: Drill is now available in Ontolearn: You can import it as follows: from ontolearn.learners import Drill Examples: examples/concept_learning_evaluati...

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