Constraint-Guided Enterprise Data Mapping with Large Language Models

arXiv:2608.24218 · cs.AI, cs.CL · Submitted 2026-08-25 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-08-25

Updated: 2026-08-25

Comments: 20th International Conference on Neurosymbolic Learning and Reasoning. NeSy 2026

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

Terminology

• Admissibility — 31× in this paper · explained in 2 episodes
• Benchmark — 22× in this paper · explained in 2 episodes
• Ablation — 13× in this paper · explained in 1 episode
• Alignment — 10× in this paper · explained in 1 episode
• Feature Selection — 6× in this paper · explained in 4 episodes
• Admissible Space — 3× in this paper · explained in 1 episode
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Granularity Mismatch — 1× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 1× in this paper
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Schema Matching on Graph: Iterative Graph Exploration for Efficient and Explainable Data Integration
• AIDE: AI-Driven Exploration in the Space of Code
• GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics
• Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
• Entity Matching using Large Language Models
• CleanAgent: Automating Data Standardization with LLM-based Agents
• ReMatch: Retrieval Enhanced Schema Matching with LLMs

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