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Schema-agnostic vs Schema-based Configurations for Blocking Methods on Homogeneous Data

Summary: Comparative study of schema-agnostic blocking vs. schema-based blocking for entity resolution. Schema-agnostic blocking yields higher recall with higher compute, enabling schema-free operation across heterogeneous data; validated on 9 methods and 11 benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11324
Venue
VLDB
Year
2016
Pagerank
5.6196254e-05
Overall Rank
5,219 | 63.73%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
67 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00061419648
125 Approximate String Joins in a Database (Almost) for Free 2001 VLDB 0.00044946098
321 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.00027524716
799 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00016479804
1,146 Web-scale Data Integration: You can only afford to Pay As You Go 2007 CIDR 0.0001367088
1,408 Entity Resolution with Iterative Blocking 2009 SIGMOD 0.00012162791
2,729 String Similarity Joins: An Experimental Evaluation 2014 VLDB 8.2175463e-05
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