16 citations · 44 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
Federating and querying heterogeneous and distributed Web APIs and triple stores
Tarcisio Mendes de Farias, Christophe Dessimoz, Aaron Ayllon Benitez +3
Today's international corporations such as BASF, a leading company in the crop protection industry, produce and consume more and more data that are often fragmented and accessible…
Bio-SODA: Enabling Natural Language Question Answering over Knowledge Graphs without Training Data
Ana Claudia Sima, Tarcisio Mendes de Farias, Maria Anisimova +4
The problem of natural language processing over structured data has become a growing research field, both within the relational database and the Semantic Web community, with signif…