SOURCE-LINKED INTELLIGENCE
RENSA: Rich Environment Metadata to Navigate Shared and Distributed Endpoints for Automated Federated SPARQL Query Generation
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. However, constructing efficient queries in a federated environment is challenging due to the lack of detailed structural knowledge across decentralized datasets. While standards like VoID provide basic metadata, they often fail to capture the complex interlinks and authority distributions necessary for optimization. Consequently, current engines frequently rely on runtime
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-29T00:32:13.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.