Data Model Evolution
Data Model Evolution is a formal process that systematically modifies and refines a data model over time to accommodate changing requirements, structures, or semantics while preserving data integrity and consistency within its evolving computational and organizational context.
80
Publications
4K
Citations
211
Authors
92
Institutions
Publications per year
2017–2026
12
Parents
80
Semantics and implementation of schema evolution in object-oriented databases
Jay Banerjee, Won Kim, Hyoung-Joo Kim et al. · 1987 · 668 citations
Proceedings 20th International Conference on Data Engineering
2004 · 223 citations
Proceedings 14th International Conference on Data Engineering
1998 · 181 citations
Proceedings 18th International Conference on Data Engineering
2002 · 167 citations
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92

University of Ioannina
Ioannina, Greece
4 h-index
4 publications
140 citations
Stanford University
Stanford, United States
3 h-index
4 publications
688 citations
University of Southern California
Los Angeles, United States
3 h-index
4 publications
95 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
5 publications
81 citations
Darmstadt University of Applied Sciences
Darmstadt, Germany
3 h-index
10 publications
146 citations

University of Rostock
Rostock, Germany
3 h-index
3 publications
44 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
2 publications
31 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
3 publications
200 citations
1–8 of 92
DKE · 7 publications · 240 citations
7
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3 publications · 615 citations
3
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2 publications · 47 citations
2
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2 publications · 168 citations
2
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2 publications · 51 citations
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