Table Annotation

Table Annotation is a scholarly contribution in tabular reporting that represents a discrete, paper-level artifact—such as a method, model, framework, theory, construct, dataset, task, or metric—systematically linked to and elucidated within a table to enhance interpretability, reproducibility, and reuse.

31

Publications

2K

Citations

94

Authors

41

Institutions

Publications per year

2017–2026

17

Authors

94

  1. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    2 publications · 32 citations

    2

    h-index

  2. CS
    Charles Sutton

    University of Edinburgh, United Kingdom

    2 publications · 141 citations

    2

    h-index

  3. JW
    Jin Wang

    University of California, Los Angeles, United States

    1 publications · 23 citations

    2

    h-index

  4. IH
    Ian Horrocks

    University of Oxford, United Kingdom

    2 publications · 141 citations

    2

    h-index

  5. JC
    Jiaoyan Chen

    University of Oxford, United Kingdom

    2 publications · 141 citations

    2

    h-index

1–5 of 94

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 741 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 149 citations

    2

    h-index

  3. Semantic Web

    1 publications · 114 citations

    1

    h-index

  4. 1

    h-index

  5. Data & Knowledge Engineering

    DKE · 1 publications · 44 citations

    1

    h-index

1–5