3 papers
cs.IR2025
SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions
Panayiotis Smeros, Vincent Emonet, Ruijie Wang +2
The advent of large language models is contributing to the emergence of novel approaches that promise to better tackle the challenge of generating structured queries, such as SPARQ…
cs.DB2025
A user-friendly SPARQL query editor powered by lightweight metadata
Vincent Emonet, Ana-Claudia Sima, Tarcisio Mendes de Farias
SPARQL query editors often lack intuitive interfaces to aid SPARQL-savvy users to write queries. To address this issue, we propose an easy-to-deploy, triple store-agnostic and open…
cs.DB2025
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs
Vincent Emonet, Jerven Bolleman, Severine Duvaud +2
We introduce a Retrieval-Augmented Generation (RAG) system for translating user questions into accurate federated SPARQL queries over bioinformatics knowledge graphs (KGs) leveragi…