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SystemER: A Human-in-the-loop System for Explainable Entity Resolution

Summary: SystemER: a human-in-the-loop system for explainable entity resolution that learns human-comprehensible rules for transparency, verification, and domain customization. Active learning delivers high-quality ER with few labels, and it supports flat/semi-structured data with Spark-based scale-out. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11868
Venue
VLDB
Year
2019
Pagerank
4.7265276e-05
Overall Rank
7,450 | 48.18%
DOI
10.14778/3352063.3352068

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