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洞見 - Ontology Matching
대규모 언어 모델의 온톨로지 매칭 오류 이해를 위한 벤치마크 데이터셋 OAEI-LLM
OAEI-LLM 데이터셋은 대규모 언어 모델의 온톨로지 매칭 오류를 이해하고 개선하기 위한 목적으로 구축되었다.
大規模言語モデルの誤認識を理解するための OAEI-LLM ベンチマークデータセット
OAEI-LLMデータセットは、オントロジーマッチングタスクにおける大規模言語モデルの誤認識を評価するためのベンチマークデータセットである。
Interactive Ontology Matching with Flexible and Cost-Efficient Learning
DualLoop, a novel active learning method tailored to ontology matching, offers flexible and cost-efficient discovery of matches by combining an ensemble of tunable heuristic matchers, a short-term learner for high-confidence exploitation, and long-term learners for exploring potential matches.
Leveraging Large Language Model Agents for Ontology Matching
This study introduces a novel agent-powered LLM-based design paradigm for ontology matching systems, which extends the LLM capability beyond general question-answering and frames a powerful problem solver for ontology matching tasks.
