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

Authors

55

  1. RE
    Rik Eshuis

    Eindhoven University of Technology, Netherlands

    1 publications · 19 citations

    1

    h-index

  2. JÖ
    Jesper Öqvist

    Lund University, Sweden

    1 publications · 16 citations

    1

    h-index

  3. JK
    Juha Kiviluoma

    VTT Technical Research Centre of Finland, Finland

    1 publications · 33 citations

    1

    h-index

  4. PL
    Pericles Loucopoulos

    University of Manchester, United Kingdom

    1 publications · 10 citations

    1

    h-index

  5. XB
    Xiaojuan Ban

    University of Science and Technology Beijing, China

    1 publications · 10 citations

    1

    h-index

1–5 of 55

Venues

  1. Electronic Markets

    EM · 1 publications · 78 citations

    1

    h-index

  2. Semantic Web Applications and Tools for Life Sciences

    Conference · 1 publications · 10 citations

    1

    h-index

  3. SoftwareX

    1 publications · 33 citations

    1

    h-index

  4. Knowledge and Information Systems

    1 publications · 19 citations

    1

    h-index

  5. Big Data Analytics

    1 publications · 16 citations

    1

    h-index

1–5