GLaMoR uses a Graph Language Model on triple-converted OWL modules to identify logically inconsistent ontologies with about 95% accuracy, beating several text and embedding baselines.
Fast approximate a-box consis- tency checking using machine learning,
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GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models
GLaMoR uses a Graph Language Model on triple-converted OWL modules to identify logically inconsistent ontologies with about 95% accuracy, beating several text and embedding baselines.