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Structures, Semantics and Statistics

Summary: Statistics over large sets of data schemas reveal semantic hints and enable mappings across structures for data integration. The approach generalizes to search in complex structure spaces and enables on-the-fly, next-generation data integration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9146
Venue
VLDB
Year
2004
Pagerank
4.2736845e-05
Overall Rank
9,817 | 31.78%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
3,878 Data Canopy: Accelerating Exploratory Statistical Analysis 2017 SIGMOD 6.6669911e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
47 Data Integration: A Theoretical Perspective 2002 PODS 0.00069691761
188 Applying Model Management to Classical Meta Data Problems 2003 CIDR 0.00035935715
207 Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach 2001 SIGMOD 0.00034571837
899 Statistical Schema Matching across Web Query Interfaces 2003 SIGMOD 0.00015476061
1,198 Crossing the Structure Chasm 2003 CIDR 0.00013360548
2,115 Rondo: A Programming Platform for Generic Model Management 2003 SIGMOD 9.5183357e-05
6,028 Similarity Search for Web Services 2004 VLDB 5.2365238e-05
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