SPIDER: Flexible Matching in Databases
Summary: SPIDER is a prototype for flexible string attribute value matching at scale in large databases. It outlines the guiding design principles, introduces the basic techniques embedded in the tool, and provides a description of the demo. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Nick Koudas (University of Toronto)
- 2. Amit Marathe (AT&T)
- 3. Divesh Srivastava (AT&T)
BibTeX Citation
@inproceedings{koudas_sigmod05,
title = {{SPIDER: Flexible Matching in Databases}},
author = {Koudas, Nick and Marathe, Amit and Srivastava, Divesh},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066272},
url = {https://dl.acm.org/doi/10.1145/1066157.1066272},
year = {2005}
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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 |
|---|---|---|---|---|
| 107 | Approximate String Joins in a Database (Almost) for Free | 2001 | VLDB | 0.00033511706 |
| 158 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00028199923 |
| 4,009 | Flexible String Matching Against Large Databases in Practice | 2004 | VLDB | 6.9612537e-05 |
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