Data Schema Mapping
Data Schema Mapping is a formal method that establishes correspondences between elements of disparate data schemas within BIM authoring systems to enable interoperability by defining structural and semantic relationships.
465
Publications
23.2K
Citations
1.2K
Authors
433
Institutions
Publications per year
2017–2026
72
Parents
465
Generic Schema Matching with Cupid
Jayant Madhavan, Philip A. Bernstein, Erhard Rahm · 2001 · 1.3K citations · Full text
Reconciling schemas of disparate data sources
AnHai Doan, Pedro Domingos, Alon Halevy · 2001 · 733 citations
Schema Mapping as Query Discovery
Renée J. Miller, Laura M. Haas, Mauricio A. Hernández · Very Large Data Bases · 2000 · 438 citations
FAIRsharing record for: China National GeneBank DataBase
Using Schema Matching to Simplify Heterogeneous Data Translation
Tova Milo, Sagit Zohar · 1998 · 394 citations
1–5 of 465
1.2K
University of California, Santa Cruz, United States
18 publications · 1.3K citations
16
h-index
14
h-index
13
h-index
12
h-index
12
h-index
1–5 of 1.2K
433
IBM Research - Almaden
San Jose, United States
22 h-index
65 publications
5.3K citations
University of California, Santa Cruz
Santa Cruz, United States
17 h-index
40 publications
2.4K citations
Microsoft (United States)
Redmond, United States
15 h-index
28 publications
2.8K citations
IBM (United States)
Armonk, United States
14 h-index
28 publications
2.8K citations
Roma Tre University
Rome, Italy
12 h-index
18 publications
462 citations
University of Washington
Seattle, United States
12 h-index
34 publications
8.5K citations

University of Edinburgh
Edinburgh, United Kingdom
12 h-index
24 publications
699 citations

University of Toronto
Toronto, Canada
11 h-index
24 publications
812 citations
1–8 of 433
PVLDB · 14 publications · 581 citations
14
h-index
14 publications · 922 citations
13
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12 publications · 322 citations
12
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DKE · 9 publications · 293 citations
9
h-index
TODS · 7 publications · 641 citations
7
h-index
1–5