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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
11476
Venue
VLDB
Year
2016
Pagerank
7.0487615e-05
Overall Rank
3,883 | 73.37%
DOI
10.14778/3007263.3007314

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{konda_vldb16,
        title = {{Magellan: Toward Building Entity Matching Management Systems over Data Science Stacks}},
        author = {Konda, Pradap and Das, Sanjib and G.C., Paul Suganthan and Doan, AnHai and Ardalan, Adel and Ballard, Jeffrey R. and Li, Han and Panahi, Fatemah and Zhang, Haojun and Naughton, Jeff and Prasad, Shishir and Krishnan, Ganesh and Deep, Rohit and Raghavendra, Vijay},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1581--1584},
        doi = {10.14778/3007263.3007314},
        url = {https://doi.org/10.14778/3007263.3007314},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
529 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017096361
725 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.00014617251
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