Knowledge Base Integration

Knowledge Base Integration is a method that enables the unification of multiple heterogeneous conceptual graphs into a coherent structure by resolving semantic discrepancies and aligning representational formalisms.

108

Publications

5.6K

Citations

353

Authors

177

Institutions

Publications per year

2017–2026

30

Authors

353

  1. VS
    V. S. Subrahmanian

    University of Maryland, College Park, United States

    3 publications · 218 citations

    3

    h-index

  2. JT
    Jiuyang Tang

    National University of Defense Technology, China

    2 publications · 174 citations

    2

    h-index

  3. XZ
    Xiang Zhao

    National University of Defense Technology, China

    2 publications · 174 citations

    2

    h-index

  4. TF
    Toshio Fukuda

    Nagoya University, Japan

    2 publications · 90 citations

    2

    h-index

  5. BR
    Brian R. Gaines

    University of Calgary, Canada

    2 publications · 25 citations

    2

    h-index

1–5 of 353

Venues

  1. International Journal of Cooperative Information Systems

    IJCIS · 3 publications · 57 citations

    3

    h-index

  2. European Planning Studies

    2 publications · 61 citations

    2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 214 citations

    2

    h-index

  4. School Effectiveness and School Improvement

    1 publications · 84 citations

    1

    h-index

  5. Knowledge Acquisition

    1 publications · 10 citations

    1

    h-index

1–5