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Multi-Source Uncertain Entity Resolution at Yad Vashem: Transforming Holocaust Victim Reports into People

Summary: Multi-source uncertain ER for Holocaust victim reports; Yad Vashem dataset enables large-scale, multi-level resolution. MFIBlocks-based blocking with a decision-tree ML to derive ranked entities from soft clusters; evaluation shows dataset challenges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5196
Venue
SIGMOD
Year
2016
Pagerank
4.613363e-05
Overall Rank
7,952 | 44.68%
DOI
10.1145/2882903.2903737

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,958 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 4.4210635e-05
11,699 (Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems 2018 SIGMOD 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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