Concepedia

Graph-based Knowledge Modeling

Graph-Based Knowledge Modeling is a domain modeling method that uses graph structures to represent and formalize knowledge through explicitly defined entities, relationships, and constraints, distinguishing it from other modeling approaches by its reliance on graph-theoretic foundations for knowledge organization and inference.

129

Publications

5K

Citations

484

Authors

215

Institutions

Publications per year

2017–2026

90

Parents

Publications

129

Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification

Feiping Nie, Jing Li, Xuelong Li · Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics) · 2016 · 410 citations

, , +14

Knowledge Distillation via Instance Relationship Graph

Yufan Liu, Jiajiong Cao, Bing Li et al. · 2019 · 314 citations

, , +17

Knowledge graph based on domain ontology and natural language processing technology for Chinese intangible cultural heritage

Jinhua Dou, Jingyan Qin, Zanxia Jin et al. · Journal of Visual Languages & Computing · 2018 · 142 citations

, , +17

A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops

Bin Zhou, Jinsong Bao, Jie Li et al. · Robotics and Computer-Integrated Manufacturing · 2021 · 142 citations

, , +16

Domain knowledge graph-based research progress of knowledge representation

Jinjiao Lin, Yanze Zhao, Weiyuan Huang et al. · Neural Computing and Applications · 2020 · 141 citations

, , +12

1–5 of 129

Authors

484

  1. JS
    Juan Sequeda

    The University of Texas at Austin, United States

    3 publications · 108 citations

    3

    h-index

  2. JF
    John F. Sowa

    IBM (United States), United States

    2 publications · 136 citations

    2

    h-index

  3. AV
    Alexander Vodyaho

    Saint Petersburg State Electrotechnical University, Russia

    2 publications · 23 citations

    2

    h-index

  4. AK
    Aditya Kalyanpur

    IBM (United States), United States

    2 publications · 73 citations

    2

    h-index

  5. DV
    Denny Vrandečić

    Karlsruhe Institute of Technology, Germany

    2 publications · 73 citations

    2

    h-index

1–5 of 484

Institutions

215

  1. Chinese Academy of Sciences

    Beijing, China

    7 h-index

    16 publications

    2K citations

  2. Tongji University

    Shanghai, China

    5 h-index

    13 publications

    410 citations

  3. Tsinghua University

    Beijing, China

    3 h-index

    5 publications

    117 citations

  4. Sun Yat-sen University

    Guangzhou, China

    3 h-index

    10 publications

    430 citations

  5. Northwestern Polytechnical University

    Xi'an, China

    3 h-index

    9 publications

    1.2K citations

  6. Cambridge Cognition (United Kingdom)

    Cambridge, United Kingdom

    2 h-index

    2 publications

    73 citations

  7. Hunter College

    New York, United States

    2 h-index

    2 publications

    43 citations

  8. Cycorp (United States)

    Austin, United States

    2 h-index

    2 publications

    73 citations

1–8 of 215

Venues

  1. IEEE Access

    5 publications · 151 citations

    5

    h-index

  2. Advanced Engineering Informatics

    6 publications · 301 citations

    5

    h-index

  3. Expert Systems with Applications

    4 publications · 105 citations

    4

    h-index

  4. Computers in Industry

    3 publications · 142 citations

    3

    h-index

  5. AI Magazine

    2 publications · 73 citations

    2

    h-index

1–5