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New framework automates federated SPARQL query generation for knowledge graphs

By PulseAugur Editorial · [1 sources] ·

Researchers have developed RENSA, a framework designed to automate the generation of federated SPARQL queries for knowledge graphs. This system enhances existing metadata standards by incorporating class and authority information, enabling more precise source selection and reducing communication overhead. RENSA's generated profiles are compact and have demonstrated comparable source selection accuracy to state-of-the-art methods while eliminating the need for runtime ASK queries. AI

RANK_REASON The cluster contains an academic paper detailing a new framework for automated query generation. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework automates federated SPARQL query generation for knowledge graphs

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The cluster contains an academic paper detailing a new framework for automated query generation. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Victor Eiti Yamamoto, Takeda Hideaki, Yamamoto Yasunori ·

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

    arXiv:2608.28963v1 Announce Type: cross Abstract: The number of knowledge graph databases has increased significantly with the proliferation of knowledge graph technologies. Knowledge graphs enable the dynamic integration of distributed data through federated SPARQL queries. Howe…

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