Conceptual Schema Evolution

Conceptual Schema Evolution is a formal method within enterprise knowledge modeling that specifies the systematic adaptation and transformation of a conceptual schema over time to maintain semantic consistency, integrity, and alignment with evolving organizational knowledge demands.

63

Publications

2.7K

Citations

147

Authors

74

Institutions

Publications per year

2017–2026

6

Authors

147

  1. AZ
    Apostolos Zarras

    University of Ioannina, Greece

    2 publications · 41 citations

    2

    h-index

  2. PV
    Panos Vassiliadis

    University of Ioannina, Greece

    2 publications · 41 citations

    2

    h-index

  3. DF
    Daniel F. Chambliss

    New College of Florida, United States

    2 publications · 111 citations

    2

    h-index

  4. PA
    Philip A. Bernstein

    Microsoft (United States), United States

    2 publications · 96 citations

    2

    h-index

  5. MK
    Meike Klettke

    University of Rostock, Germany

    2 publications · 73 citations

    2

    h-index

1–5 of 147

Venues

  1. Data & Knowledge Engineering

    DKE · 5 publications · 189 citations

    4

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 62 citations

    3

    h-index

  3. Information Systems

    3 publications · 68 citations

    3

    h-index

  4. 2

    h-index

  5. International Journal of Science Education

    IJSE · 2 publications · 43 citations

    2

    h-index

1–5