GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models

arXiv:2504.19023 · cs.AI, cs.LG · Submitted 2025-04-26 · Read on arXiv

cs.AI, cs.LG

Submitted: 2025-04-26

Updated: 2026-09-11

Comments: Accepted at WI-IAT 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ontology — 50× in this paper · explained in 2 episodes
• Consistency — 38× in this paper · explained in 3 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Axioms — 22× in this paper · explained in 2 episodes
• Embeddings — 19× in this paper · explained in 2 episodes
• Graph Language Model — 17× in this paper
• Knowledge Graph — 13× in this paper · explained in 7 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 5× in this paper · explained in 6 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Knowledge graphs — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• In-Context Learning — 3× in this paper · explained in 4 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Resource Description Framework — 1× in this paper
• Reward Function — 1× in this paper · explained in 2 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

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