Knowledge Quality Metrics
Knowledge Quality Metrics is a systematic framework used to assess the accuracy, reliability, relevance, and completeness of knowledge assets within an organizational or informational context by defining measurable criteria that distinguish high-quality knowledge from degraded or unreliable knowledge.
36
Publications
2.2K
Citations
104
Authors
52
Institutions
Publications per year
2017–2026
9
Parents
36
Ranjit Bose · Industrial Management & Data Systems · 2004 · 304 citations
Management, Knowledge Management, Management Information Systems +14
OntoQA: Metric-Based Ontology Quality Analysis
Samir Tartir, I. Budak Arpinar, Michael Moore et al. · Journal of Bioresource Management · 2005 · 253 citations · Full text
1–5 of 36
104
2
h-index
2
h-index
1
h-index
1 publications · 12 citations
1
h-index
1
h-index
1–5 of 104
52
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
3 publications
86 citations
Menlo School
Atherton, United States
1 h-index
2 publications
50 citations
Shri Mata Vaishno Devi University
Katra, India
1 h-index
3 publications
75 citations
University of Toledo
Toledo, United States
1 h-index
2 publications
236 citations

University of Milan
Milan, Italy
1 h-index
1 publications
51 citations
Centro Científico Tecnológico - San Juan
San Juan, Argentina
1 h-index
1 publications
12 citations

Victoria University of Wellington
Wellington, New Zealand
1 h-index
1 publications
46 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
50 citations
1–8 of 52
TKDE · 3 publications · 195 citations
3
h-index
3 publications · 154 citations
3
h-index
IJKBD · 2 publications · 41 citations
2
h-index
Repository · 1 publications · 25 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5