Data Integration in the Large: The Challenge of Reuse

Summary: Large-scale data integration with multiple, overlapping efforts over subsets of component databases; metadata collection/maintenance costs motivate reuse across efforts with differing goals. The paper identifies issues and approaches to maximizing information and code reuse in cross-effort data integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8425
Venue: VLDB
Year: 1994
Pagerank: 5.093636e-05
Overall Rank: 13,045 | 10.50%
DOI: -

Incoming Non-self Citations Over Time

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

Authors

1. Arnon Rosenthal (The MITRE Corporation)
2. Leonard J. Seligman (The MITRE Corporation)

BibTeX Citation

@article{rosenthal_vldb94,
        title = {{Data Integration in the Large: The Challenge of Reuse}},
        author = {Rosenthal, Arnon and Seligman, Leonard J.},
        journal = {PVLDB},
        series = {{VLDB} '94},
        year = {1994}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

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
182	Federated Database Systems for Managing Distributed, Heterogeneous, and Autonomous Databases	1991	VLDB	0.00026367971
2,334	Managing Semantic Heterogeneity with Production Rules and Persistent Queues	1993	VLDB	8.7336402e-05
3,640	Semantic Integration in Heterogeneous Databases Using Neural Networks	1994	VLDB	7.2327067e-05

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