Knowledge Graph Semantics

Knowledge Graph Semantics is a formal framework that specifies the meaning of entities, relations, and structures within a knowledge graph by defining their intended interpretation through logical, model-theoretic, or ontological constraints.

80

Publications

4.4K

Citations

294

Authors

133

Institutions

Publications per year

2017–2026

58

Authors

294

  1. SA
    Sören Auer

    University of Bonn, Germany

    3 publications · 94 citations

    3

    h-index

  2. JF
    John F. Sowa

    IBM (United States), United States

    3 publications · 88 citations

    3

    h-index

  3. GH
    Gongzhu Hu

    Hainan University, China

    2 publications · 90 citations

    2

    h-index

  4. SJ
    Shengbin Jia

    Tongji University, China

    2 publications · 1.1K citations

    2

    h-index

  5. YD
    Yucong Duan

    Hainan University, China

    2 publications · 90 citations

    2

    h-index

1–5 of 294

Venues

  1. Neurocomputing

    4 publications · 106 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 52 citations

    3

    h-index

  3. Expert Systems with Applications

    3 publications · 1.1K citations

    3

    h-index

  4. IEEE Access

    3 publications · 113 citations

    3

    h-index

  5. Information Fusion

    2 publications · 120 citations

    2

    h-index

1–5