Schema Clustering and Retrieval for Multi-domain Pay-As-You-Go Data Integration Systems

Summary: Presents unsupervised domain clustering for pay-as-you-go data integration using only attribute names and probabilistic domain assignment. Also proposes a domain-aware classifier mapping keyword queries to relevant domains; experiments validate. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4262
Venue: SIGMOD
Year: 2010
Pagerank: 4.1945683e-05
Overall Rank: 12,223 | 14.97%
DOI: -

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Authors

1. Hatem A. Mahmoud
2. Ashraf Aboulnaga

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
721	Data Integration with Uncertainty	2007	VLDB	0.00017570539
902	Statistical Schema Matching across Web Query Interfaces	2003	SIGMOD	0.00015486247
1,147	Web-scale Data Integration: You can only afford to Pay As You Go	2007	CIDR	0.00013677658
1,537	Google's Deep-Web Crawl	2008	VLDB	0.00011465704
1,858	Bootstrapping Pay-As-You-Go Data Integration Systems	2008	SIGMOD	0.00010301124

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