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On-the-Fly Token Similarity Joins in Relational Databases

Summary: Introduces tokenize, a relational operator that generates tokens and embeds them in the plan, enabling optimization without precomputed tokens. Key ideas: algebraic rules, cardinality estimates, and replication-free handling of nested tokenize in PostgreSQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4963
Venue
SIGMOD
Year
2014
Pagerank
5.2447096e-05
Overall Rank
9,613 | 34.05%
DOI
10.1145/2588555.2610530

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{augsten_sigmod14,
        title = {{On-the-Fly Token Similarity Joins in Relational Databases}},
        author = {Augsten, Nikolaus and Miraglia, Armando and Neumann, Thomas and Kemper, Alfons},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610530},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610530},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,023 Smurf: Self-Service String Matching Using Random Forests 2019 VLDB 6.949387e-05
4,260 Set Similarity Joins on MapReduce: An Experimental Survey 2018 VLDB 6.7984322e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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