Structured Data Modeling

Structured Data Modeling is a methodological framework within artifact documentation that systematically organizes data elements according to predefined schemas and relational hierarchies to ensure consistency, interoperability, and machine-readability in the representation of documented artifacts.

156

Publications

8.2K

Citations

432

Authors

199

Institutions

Publications per year

2017–2026

31

Authors

432

  1. AS
    Alessandro Sperduti

    University of Padua, Italy

    4 publications · 156 citations

    4

    h-index

  2. YW
    You Wu

    Google (United States), United States

    3 publications · 194 citations

    3

    h-index

  3. JY
    Jun Yang

    Duke University, United States

    3 publications · 194 citations

    3

    h-index

  4. CY
    Cong Yu

    Google (United States), United States

    3 publications · 194 citations

    3

    h-index

  5. NM
    Nils M. Kriege

    TU Dortmund University, Germany

    3 publications · 142 citations

    3

    h-index

1–5 of 432

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 136 citations

    5

    h-index

  2. ACM SIGMOD Record

    3 publications · 557 citations

    3

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 174 citations

    3

    h-index

  4. IEEE Transactions on Software Engineering

    TSE · 2 publications · 928 citations

    2

    h-index

  5. Automation in Construction

    2 publications · 66 citations

    2

    h-index

1–5