Semantic Model Matching

Semantic Model Matching is a methodological framework within model integration that identifies equivalent elements across heterogeneous models by aligning their meaning-based representations, distinguished from syntactic or structural matching approaches through its reliance on formal semantics and domain-specific knowledge.

43

Publications

1.6K

Citations

145

Authors

69

Institutions

Publications per year

2017–2026

22

Authors

145

  1. YY
    Yi Yang

    University of Technology Sydney, Australia

    2 publications · 65 citations

    2

    h-index

  2. EC
    Edward Curry

    Ollscoil na Gaillimhe – University of Galway, Ireland

    2 publications · 62 citations

    2

    h-index

  3. AC
    Antonio Cicchetti

    Mälardalen University, Sweden

    1 publications · 13 citations

    1

    h-index

  4. CD
    Charles Dognin

    University of North Carolina Health Care, United States

    1 publications · 95 citations

    1

    h-index

  5. TL
    Tsung-Nan Lin

    National Taiwan University, Taiwan

    1 publications · 16 citations

    1

    h-index

1–5 of 145

Venues

  1. IEEE Access

    2 publications · 35 citations

    2

    h-index

  2. Computer

    1 publications · 77 citations

    1

    h-index

  3. Energy and Buildings

    1 publications · 54 citations

    1

    h-index

  4. ACM/IMS Transactions on Data Science

    TDS · 1 publications · 14 citations

    1

    h-index

  5. Computer-Aided Design and Applications

    1 publications · 15 citations

    1

    h-index

1–5