Using SPIDER: An Experience Report

Summary: Experience report on SPIDER, a SQL-driven framework for flexible, fuzzy string matching over large databases. It uses tf-idf weighted q-grams and cosine similarity with declarative SQL preprocessing to leverage DBMS optimizers for scalable data cleaning and integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3860
Venue: SIGMOD
Year: 2006
Pagerank: -
Overall Rank: 13,812 | 5.24%
DOI: 10.1145/1142473.1142557

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Nick Koudas (University of Toronto)
2. Amit Marathe (AT&T)
3. Divesh Srivastava (AT&T)

BibTeX Citation

@inproceedings{koudas_sigmod06,
        title = {{Using SPIDER: An Experience Report}},
        author = {Koudas, Nick and Marathe, Amit and Srivastava, Divesh},
        series = {{SIGMOD} '06},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1142473.1142557},
        url = {https://dl.acm.org/doi/10.1145/1142473.1142557},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
4,009	Flexible String Matching Against Large Databases in Practice	2004	VLDB	6.9612537e-05
9,584	Approximate Joins: Concepts and Techniques	2005	VLDB	5.2528121e-05

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