Knowledge Graph Annotation

Knowledge Graph Annotation is a methodological contribution within knowledge graph design that involves the systematic association of semantic labels or metadata to entities, relationships, or structures in a knowledge graph to enhance its interpretability, integration, or machine-readability.

11

Publications

309

Citations

55

Authors

25

Institutions

Publications per year

2017–2026

7

Variants

Knowledge Graph Labeling

Authors

55

  1. NT
    Nhung T. H. Nguyen

    University of Manchester, United Kingdom

    1 publications · 18 citations

    1

    h-index

  2. KB
    Konstantinos Bougiatiotis

    National Centre of Scientific Research "Demokritos", Greece

    1 publications · 31 citations

    1

    h-index

  3. AT
    Andrea Turbati

    University of Rome Tor Vergata, Italy

    1 publications · 15 citations

    1

    h-index

  4. WE
    William E. Moen

    University of North Texas, United States

    1 publications · 52 citations

    1

    h-index

  5. AK
    Anastasia Krithara

    National Centre of Scientific Research "Demokritos", Greece

    1 publications · 31 citations

    1

    h-index

1–5 of 55

Venues

  1. APOPTOSIS

    1 publications · 15 citations

    1

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 59 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 48 citations

    1

    h-index

  4. Journal of Web Semantics

    1 publications · 31 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 18 citations

    1

    h-index

1–5