Semantic Content Modeling

Semantic Content Modeling is a methodological framework within content modeling that formally structures information based on the meaning of content elements and their interrelationships, distinguishing it from syntactic or structural approaches by prioritizing contextual significance and domain-specific interpretation.

233

Publications

23.4K

Citations

726

Authors

302

Institutions

Publications per year

2017–2026

81

Authors

726

  1. BD
    Begüm Demir

    Technische Universität Berlin, Germany

    4 publications · 98 citations

    4

    h-index

  2. FM
    Farid Melgani

    University of Trento, Italy

    3 publications · 49 citations

    3

    h-index

  3. JX
    Jian Xu

    University of Chinese Academy of Sciences, China

    3 publications · 122 citations

    3

    h-index

  4. RD
    Robert Dale

    Macquarie University, Australia

    3 publications · 123 citations

    3

    h-index

  5. MC
    Marios C. Angelides

    Brunel University of London, United Kingdom

    3 publications · 45 citations

    3

    h-index

1–5 of 726

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 1.1K citations

    13

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 231 citations

    5

    h-index

  3. IEEE Access

    4 publications · 74 citations

    4

    h-index

  4. Expert Systems with Applications

    3 publications · 72 citations

    3

    h-index

  5. Journal of Semantics

    3 publications · 60 citations

    3

    h-index

1–5