Knowledge Graph Maintenance

Knowledge Graph Maintenance is a methodological framework within knowledge graph design that systematically ensures the consistency, accuracy, and completeness of knowledge graph content through ongoing processes of update, alignment, and error correction in response to evolving data sources and user requirements.

40

Publications

3.1K

Citations

153

Authors

89

Institutions

Publications per year

2017–2026

30

Authors

153

  1. BD
    Ben De Meester

    Ghent University, Belgium

    2 publications · 275 citations

    2

    h-index

  2. OH
    Olaf Hartig

    Linköping University, Sweden

    2 publications · 275 citations

    2

    h-index

  3. RV
    Ruben Verborgh

    Ghent University, Belgium

    2 publications · 275 citations

    2

    h-index

  4. HK
    Hanna Köpcke

    Leipzig University, Germany

    2 publications · 81 citations

    2

    h-index

  5. XL
    Xinyu Li

    Nanyang Technological University, Singapore

    2 publications · 165 citations

    2

    h-index

1–5 of 153

Venues

  1. Journal of Web Semantics

    3 publications · 302 citations

    3

    h-index

  2. Semantic Web

    3 publications · 1.2K citations

    3

    h-index

  3. Mathematical Problems in Engineering

    MPE · 2 publications · 61 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 50 citations

    2

    h-index

  5. Computers in Industry

    2 publications · 188 citations

    2

    h-index

1–5