7 citations · 14 across the 5 of their papers we have counts for
5 papers
kgsteward: a tool for building, reproducing and maintaining distributed knowledge graphs
Marco Pagni, Robin Engler, Frederic Burdet +15
Collaborative research projects in life sciences increasingly need to integrate private, embargoed consortium data with public reference databases in order to reach statistically m…
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…
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…
A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications
Jerven Bolleman, Vincent Emonet, Adrian Altenhoff +14
Background. In the last decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate…
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…