Knowledge Representation Classification

Knowledge Representation Classification is a systematic academic framework that categorizes knowledge representation methods according to their structural, semantic, and computational characteristics, distinguishing it from other classification paradigms by its focus on formalizing how knowledge is encoded, organized, and interpreted within intelligent systems.

111

Publications

8.7K

Citations

228

Authors

124

Institutions

Publications per year

2017–2026

13

Authors

228

  1. RM
    Robert M. MacGregor

    Barnes-Jewish Hospital, United States

    5 publications · 792 citations

    5

    h-index

  2. JG
    James G. Schmolze

    Tufts University, United States

    3 publications · 2.7K citations

    3

    h-index

  3. DD
    Darina Dicheva

    Winston-Salem State University, United States

    3 publications · 48 citations

    3

    h-index

  4. LA
    Lora Aroyo

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 48 citations

    3

    h-index

  5. MT
    Ming Tan

    Carnegie Mellon University, United States

    2 publications · 213 citations

    2

    h-index

1–5 of 228

Venues

  1. International Journal of Intelligent Systems

    3 publications · 133 citations

    3

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 179 citations

    3

    h-index

  3. 3

    h-index

  4. ACM SIGART Bulletin

    2 publications · 257 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 132 citations

    2

    h-index

1–5