ReMatch method improves schema matching using retrieval-enhanced LLMs without the need for predefined mapping or model training.
Understanding entity relations is crucial for resolving ambiguity in matching.
ReMatchは、検索強化型LLMを使用してスキーマをマッチングする効果的な方法です。
ReMatch introduces a novel method for schema matching using retrieval-enhanced Large Language Models (LLMs), eliminating the need for predefined mapping, model training, or access to source data. The approach significantly improves matching capabilities and outperforms other machine learning methods.