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
Parents
111
1–5 of 111
228
5
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 228
124
Luto Research (United Kingdom)
Barnsley, United Kingdom
2 h-index
2 publications
2.6K citations

Universidade Nova de Lisboa
Lisbon, Portugal
2 h-index
5 publications
143 citations

University of Central Florida
Orlando, United States
2 h-index
3 publications
82 citations
The Ohio State University
Columbus, United States
2 h-index
4 publications
324 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
82 citations
Buckingham Browne & Nichols
Cambridge, United States
2 h-index
2 publications
2.6K citations
Zhejiang University of Science and Technology
Hangzhou, China
2 h-index
7 publications
1.2K citations

UNSW Sydney
Sydney, Australia
2 h-index
5 publications
158 citations
1–8 of 124
3 publications · 133 citations
3
h-index
TKDE · 3 publications · 179 citations
3
h-index
3 publications · 112 citations
3
h-index
2 publications · 257 citations
2
h-index
2 publications · 132 citations
2
h-index
1–5