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Efficient and Reliable Estimation of Knowledge Graph Accuracy

Summary: Replaces Wald-based confidence intervals for KG accuracy estimation with Wilson-based intervals adapted to complex sampling designs, eliminating zero-width and overshooting issues. Delivers up to 2× reliability improvement while preserving or improving sampling efficiency across KG sizes/topologies. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13466
Venue
VLDB
Year
2024
Pagerank
4.1945683e-05
Overall Rank
11,029 | 23.28%
DOI
10.14778/3665844.3665865

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Rank Citing Paper Year Venue Pagerank
10,476 Credible Intervals for Knowledge Graph Accuracy Estimation 2025 SIGMOD 4.1945683e-05
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