Json Data Modeling

JSON Data Modeling is a method within information modeling that specifies the structure, constraints, and semantics of data using JavaScript Object Notation (JSON) as the primary serialization format, distinguished by its reliance on lightweight, hierarchical, and human-readable syntax for representing structured and semi-structured data.

30

Publications

1.2K

Citations

115

Authors

57

Institutions

Publications per year

2017–2026

19

Authors

115

  1. PB
    Pierre Bourhis

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 174 citations

    3

    h-index

  2. JL
    Juan L. Reutter

    Pontificia Universidad Católica de Chile, Chile

    3 publications · 174 citations

    3

    h-index

  3. DV
    Domagoj Vrgoč

    University of Edinburgh, United Kingdom

    3 publications · 174 citations

    3

    h-index

  4. CB
    Clara Benac Earle

    Universidad Politécnica de Madrid, Spain

    2 publications · 25 citations

    2

    h-index

  5. FS
    Fernando Suárez

    Massachusetts Institute of Technology, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 115

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 185 citations

    3

    h-index

  2. SciPost Physics

    1 publications · 15 citations

    1

    h-index

  3. BMC Genomics

    1 publications · 23 citations

    1

    h-index

  4. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Information Systems

    1 publications · 63 citations

    1

    h-index

1–5