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Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks

Summary: Magellan proposes an EM management system that extends beyond algorithms to end-to-end tooling on Python data-science stacks. It offers a step-by-step guide, full EM pipeline tooling, and an interactive scripting env for rapid experiments, evaluated with 44 users. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11288
Venue
VLDB
Year
2016
Pagerank
6.1606042e-05
Overall Rank
4,464 | 68.95%
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
94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
712 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017732426
1,012 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.0001464733
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