arXiv AI By Alkid Baci, N'Dah Jean Kouagou, Caglar Demir, Axel-Cyrille Ngonga Ngomo

Syntactic Simplification of OWL Class Expressions

Read the original on arXiv AI →

The paper introduces Class Expression Simplifier (CES), an algorithm that syntactically simplifies OWL class expressions in Description Logics. CES preserves formal semantics by applying rewriting rules to remove redundancies and produce simpler, equivalent expressions, resulting in more compact and human-readable representations. Experiments on two medium-sized ontologies show that CES improves reasoning efficiency and reduces verbosity, and the tool is available as an open-source Python package within OWLAPY.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv Machine Learning
Sep 14

GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models

The paper introduces GLaMoR, a reasoning pipeline that converts OWL ontologies into graph-structured data and applies a Graph Language Model (GLM) for consistency checking. It addresses the challenge of verifying ontology consistency, especially for large ontologies where classical reasoners become computationally expensive. Experiments on NCBO BioPortal ontologies show that GLaMoR achieves 95% accuracy and is 20 times faster than traditional reasoners.

By Justin M\"ucke, Ansgar Scherp