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GeoFlux: Hands-Off Data Integration Leveraging Join Key Knowledge

Summary: Hands-off data integration by auto-identifying geographic join keys for government datasets. GeoFlux's crosswalk algorithm auto-aggregates geographic units across diverse geography types and schemas, enabling fully automatic, user-friendly integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h8095eb8de416c2e9
Venue
SIGMOD
Year
2018
Pagerank
4.9793485e-05
Overall Rank
12,216 | 17.87%
DOI
10.1145/3183713.3193546

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Authors

BibTeX Citation

@inproceedings{song_sigmod18,
        title = {{GeoFlux: Hands-Off Data Integration Leveraging Join Key Knowledge}},
        author = {Song, Jie and Koutra, Danai and Mani, Murali and Jagadish, H. V.},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193546},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193546},
        year = {2018}
}

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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
407 COMA - A system for flexible combination of schema matching approaches 2002 VLDB 0.00019026291
484 Data Integration for the Relational Web 2009 VLDB 0.00017548541
1,776 Sample-Driven Schema Mapping 2012 SIGMOD 9.6674087e-05
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