Knowledge Graph Validation

Knowledge Graph Validation is an academic contribution that constitutes a method, model, framework, or metric designed to systematically assess the correctness, consistency, and completeness of knowledge assertions and structures within a knowledge graph relative to a specified domain or schema.

24

Publications

1.2K

Citations

74

Authors

36

Institutions

Publications per year

2017–2026

13

Authors

74

  1. KP
    Karuna Pande Joshi

    University of Maryland, Baltimore County, United States

    3 publications · 101 citations

    3

    h-index

  2. LE
    Lavanya Elluri

    University of Maryland, Baltimore County, United States

    3 publications · 101 citations

    3

    h-index

  3. AN
    Ankur Nagar

    University of Maryland, Baltimore County, United States

    3 publications · 101 citations

    3

    h-index

  4. JM
    João Marques‐Silva

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    2 publications · 151 citations

    2

    h-index

  5. AB
    Anton Belov

    University College Dublin, Ireland

    2 publications · 151 citations

    2

    h-index

1–5 of 74

Venues

  1. Knowledge-Based Systems

    2 publications · 31 citations

    2

    h-index

  2. AI Communications

    AICOM · 2 publications · 124 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 24 citations

    1

    h-index

  4. European Conference on Artificial Intelligence

    Conference · 1 publications · 21 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 10 citations

    1

    h-index

1–5