Semantic Network Modeling

Semantic Network Modeling is a formal method in domain modeling that represents domain knowledge as a directed graph of nodes and labeled edges, where nodes denote conceptual entities or propositions and edges encode semantic relationships, thereby enabling explicit, machine-interpretable representations of meaning and inference structures within a domain.

529

Publications

27.6K

Citations

1.4K

Authors

559

Institutions

Publications per year

2017–2026

176

Authors

1.4K

  1. MH
    Michael Halper

    New Jersey Institute of Technology, United States

    12 publications · 227 citations

    11

    h-index

  2. YP
    Yehoshua Perl

    New Jersey Institute of Technology, United States

    14 publications · 257 citations

    11

    h-index

  3. JG
    James Geller

    New Jersey Institute of Technology, United States

    12 publications · 222 citations

    10

    h-index

  4. HZ
    Hai Zhuge

    Chinese Academy of Sciences, China

    10 publications · 333 citations

    10

    h-index

  5. JL
    Joseph L. Austerweil

    University of Wisconsin–Madison, United States

    7 publications · 268 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. PubMed

    Repository · 23 publications · 995 citations

    16

    h-index

  2. International Joint Conference on Artificial Intelligence

    Conference · 7 publications · 143 citations

    7

    h-index

  3. Sustainability

    7 publications · 196 citations

    7

    h-index

  4. 6

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 6 publications · 437 citations

    6

    h-index

1–5