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Mining Document Collections to Facilitate Accurate Approximate Entity Matching

Summary: Mines document collections to learn entity-name variants, expanding reference tables so robust corpus-aware approximate matching becomes efficient exact lookup. The architecture improves scalability while preserving accuracy over standalone string similarity. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10062
Venue
VLDB
Year
2009
Pagerank
6.2849137e-05
Overall Rank
5,279 | 63.79%
DOI
10.14778/1687627.1687673

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chaudhuri_vldb09,
        title = {{Mining Document Collections to Facilitate Accurate Approximate Entity Matching}},
        author = {Chaudhuri, Surajit and Ganti, Venkatesh and Xin, Dong},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687673},
        url = {https://doi.org/10.14778/1687627.1687673},
        year = {2009}
}

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