Semantic Graph Annotation

Semantic Graph Annotation is a methodological framework within graph annotation that integrates domain-specific semantic meaning into graph structures by labeling nodes and edges with ontologically grounded metadata to enhance interpretability and enable knowledge-driven reasoning.

23

Publications

1.1K

Citations

110

Authors

35

Institutions

Publications per year

2017–2026

7

Authors

110

  1. MV
    Madeleine van Zuylen

    Allen Institute for Artificial Intelligence, United States

    2 publications · 373 citations

    2

    h-index

  2. DH
    Dilek Hakkani‐Tür

    Microsoft (United States), United States

    2 publications · 80 citations

    2

    h-index

  3. LL
    Lucy Lu Wang

    University of Washington, United States

    2 publications · 373 citations

    2

    h-index

  4. ZY
    Zheng Yuan

    Tsinghua University, China

    2 publications · 373 citations

    2

    h-index

  5. RK
    Rodney Kinney

    NSF National Center for Atmospheric Research, United States

    2 publications · 373 citations

    2

    h-index

1–5 of 110

Venues

  1. Journal of Web Semantics

    1 publications · 30 citations

    1

    h-index

  2. Americanae (AECID Library)

    Repository · 1 publications · 23 citations

    1

    h-index

  3. Applied Sciences

    1 publications · 12 citations

    1

    h-index

  4. Journal of Cheminformatics

    1 publications · 32 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 50 citations

    1

    h-index

1–5