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On the Use of Large Language Models for Schema Mapping Generation in Ontology-Based Data Integration

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TL;DR

This paper conducts a systematic empirical study of several state-of-the-art LLMs under different prompting strategies, isolating the role of structural guidance and contextual information in generating valid mappings and highlighting both the potential and the limitations of LLMs in structured semantic generation tasks.

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