Data Model Validation
Data Model Validation is a formal process that verifies the structural and semantic correctness of a data model by ensuring its alignment with domain requirements, consistency with conceptual constraints, and compliance with predefined syntactic and logical rules.
12
Publications
287
Citations
55
Authors
20
Institutions
Publications per year
2017–2026
7
Parents
12
1–5 of 12
55
1
h-index
1
h-index
1
h-index
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h-index
1
h-index
1–5 of 55
20
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
1 publications
19 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
1 publications
10 citations

Victoria University of Wellington
Wellington, New Zealand
1 h-index
1 publications
12 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
4 publications
64 citations
Free University of Bozen-Bolzano
Bolzano, Italy
1 h-index
1 publications
19 citations

University of St.Gallen
Saint Gallen, Switzerland
1 h-index
4 publications
312 citations
KU Leuven
Leuven, Belgium
1 h-index
2 publications
66 citations

University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
20 citations
1–8 of 20
EM · 1 publications · 78 citations
1
h-index
Conference · 1 publications · 10 citations
1
h-index
1 publications · 33 citations
1
h-index
1 publications · 19 citations
1
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1 publications · 16 citations
1
h-index
1–5