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Effective Entity Augmentation By Querying External Data Sources

Summary: Progressive, feedback-driven method that learns per-entity keyword-query strategies to extract relevant attributes from external sources exposed via keyword-search only. Iteratively refines queries to handle heterogeneous representations and sparse relevant tuples, minimizing manual effort while rapidly delivering accurate augmentations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13174
Venue
VLDB
Year
2023
Pagerank
4.4660032e-05
Overall Rank
8,696 | 39.51%
DOI
10.14778/3611479.3611535

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Rank Citing Paper Year Venue Pagerank
9,365 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 4.3502315e-05
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