Surprising Effectiveness of Self-Demonstrations in Enhancing Schema-Ontology Mapping with LLMs
This paper presents a self-demonstration-driven approach that combines a neuro-symbolic task decomposition with a novel mechanism for automatically generating pattern-guided, dependency-aware demonstrations to address the integration challenge of heterogeneous relational databases into a centralized ontology.