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Yasunori Yamamoto

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#natural language process... Preprint Aug 2026

RENSA: Rich Environment Metadata to Navigate Shared and Distributed Endpoints for Automated Federated SPARQL Query Generation

This work proposes RENSA, a federated SPARQL query generation framework that leverages an extension of SPARQL Builder Metadata (SBM), and demonstrates that RENSA infers class and authority constraints for query variables, enabling the identification of data sources even across heterogeneous endpoints.

Victor Eiti Yamamoto, Hideaki Takeda, Yasunori Yamamoto · 0 citations

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