Distributed Knowledge Graphs

Distributed Knowledge Graphs is a knowledge representation framework that integrates multiple, geographically separated knowledge graphs through decentralized storage and coordinated querying, enabling scalable and fault-tolerant knowledge sharing and inference across autonomous nodes.

23

Publications

1.2K

Citations

77

Authors

44

Institutions

Publications per year

2017–2026

14

Authors

77

  1. GS
    Gautam Srivastava

    Brandon University, Canada

    2 publications · 60 citations

    2

    h-index

  2. SM
    Sebastian Mosbach

    University of Cambridge, United Kingdom

    2 publications · 235 citations

    2

    h-index

  3. MK
    Markus Kraft

    University of Cambridge, United Kingdom

    2 publications · 235 citations

    2

    h-index

  4. JA
    Jethro Akroyd

    University of Cambridge, United Kingdom

    2 publications · 235 citations

    2

    h-index

  5. AB
    Asma Belhadi

    Western Norway University of Applied Sciences, Norway

    2 publications · 60 citations

    2

    h-index

1–5 of 77

Venues

  1. D+C Development and Cooperation

    1 publications · 92 citations

    1

    h-index

  2. World Wide Web

    1 publications · 35 citations

    1

    h-index

  3. 1

    h-index

  4. Knowledge-Based Systems

    1 publications · 20 citations

    1

    h-index

  5. Journal of Signal Processing Systems

    1 publications · 17 citations

    1

    h-index

1–5