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Preprint Oct 2026

SPARQL-LLM in the TEXT2SPARQL 2026 Challenge

Querying distributed data represented as Knowledge Graphs (KGs) via SPARQL remains a difficult task, requiring fluency in query syntax, endpoint specifications, and schema details. Knowledge Graph Question Answering (KGQA) systems address this by automatically translating natural language into SPARQL, and recent advanc...

P. Smeros, Vincent Emonet, Rui-Jie Wang et al. · 0 citations
#artificial intelligence Open access Dec 2025

SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions

SPARQL-LLM is described and systematically evaluated, an open-source and triplestore-agnostic approach, powered by lightweight metadata, that generates SPARQL queries from natural language text that has adaptability to high-resource languages such as English, Spanish, and German, as well as ability to form complex bioi...

P. Smeros, Vincent Emonet, Rui-Jie Wang et al. · 6 citations

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