Semint: A System Prototype for Semantic Integration in Heterogeneous Databases

Summary: Semint is a system prototype for semantic integration across heterogeneous databases. It automatically discovers equivalent attributes from source information via pairwise comparisons, removing reliance on hand-crafted mappings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 2857
Venue: SIGMOD
Year: 1995
Pagerank: -
Overall Rank: 14,078 | 2.07%
DOI: -

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Authors

1. Wen-Syan Li
2. Chris Clifton

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

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

Rank	Cited Paper	Year	Venue	Pagerank
3,637	Semantic Integration in Heterogeneous Databases Using Neural Networks	1994	VLDB	6.8959519e-05

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