Knowledge Graph Query Design

Knowledge Graph Query Design is a methodological framework within knowledge graph research that specifies the principles and structures for formulating, optimizing, and executing queries to retrieve implicit or explicit knowledge from a knowledge graph, distinguished by its focus on query expressiveness, computational efficiency, and alignment with user intent.

6

Publications

139

Citations

22

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

22

  1. ZQ
    Zhixin Qi

    Harbin Institute of Technology, China

    1 publications · 14 citations

    1

    h-index

  2. CL
    Chengkai Li

    The University of Texas at Arlington, United States

    1 publications · 30 citations

    1

    h-index

  3. AM
    Amir Masoud Rahmani

    Islamic Azad University, Science and Research Branch, Iran

    1 publications · 29 citations

    1

    h-index

  4. NJ
    Nandish Jayaram

    The University of Texas at Arlington, United States

    1 publications · 30 citations

    1

    h-index

  5. GA
    Gabriel Appleby

    Tufts University, United States

    1 publications · 31 citations

    1

    h-index

1–5 of 22

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 31 citations

    1

    h-index

  2. Sustainability

    1 publications · 22 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 14 citations

    1

    h-index

  4. Computing in Civil and Building Engineering (2014)

    Conference · 1 publications · 13 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 29 citations

    1

    h-index

1–5