LLM-Assisted Discovery of Typed Semantic Links for Ontology Network Construction

arXiv:2610.01393 · cs.CL, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/fusion-jena/ReproduceMeON

Terminology

• Ontology — 62× in this paper · explained in 2 episodes
• AUC — 24× in this paper · explained in 2 episodes
• Embeddings — 14× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Ablation — 9× in this paper · explained in 1 episode
• Clustering — 8× in this paper · explained in 2 episodes
• Provenance — 8× in this paper · explained in 4 episodes
• Knowledge Graph — 7× in this paper · explained in 7 episodes
• Prompt Engineering — 7× in this paper · explained in 4 episodes
• Annotator Agreement — 6× in this paper · explained in 1 episode
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment Techniques — 1× in this paper · explained in 1 episode
• Axioms — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• GPT-4 Technical Report
• Attention Is All You Need
• Decoupled Weight Decay Regularization
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• LLaMA: Open and Efficient Foundation Language Models

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