Knowledge Graph Validation
Knowledge Graph Validation is an academic contribution that constitutes a method, model, framework, or metric designed to systematically assess the correctness, consistency, and completeness of knowledge assertions and structures within a knowledge graph relative to a specified domain or schema.
24
Publications
1.2K
Citations
74
Authors
36
Institutions
Publications per year
2017–2026
13
Parents
24
Deriving Validity Time in Knowledge Graph
Julien Leblay, Melisachew Wudage Chekol · 2018 · 403 citations · Full text
Towards efficient MUS extraction
Anton Belov, Inês Lynce, João Marques‐Silva · AI Communications · 2012 · 84 citations
1–5 of 24
74
University of Maryland, Baltimore County, United States
3 publications · 101 citations
3
h-index
3
h-index
3
h-index
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal
2 publications · 151 citations
2
h-index
2
h-index
1–5 of 74
36
University of Maryland, Baltimore County
Baltimore, United States
3 h-index
9 publications
303 citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
2 h-index
4 publications
302 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
2 publications
43 citations
University College Dublin
Dublin, Ireland
2 h-index
4 publications
302 citations
University of Mannheim
Mannheim, Germany
1 h-index
1 publications
403 citations
Curtin University
Perth, Australia
1 h-index
3 publications
48 citations

Central Connecticut State University
New Britain, United States
1 h-index
1 publications
57 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
2 publications
36 citations
1–8 of 36
2 publications · 31 citations
2
h-index
AICOM · 2 publications · 124 citations
2
h-index
Repository · 1 publications · 24 citations
1
h-index
Conference · 1 publications · 21 citations
1
h-index
Conference · 1 publications · 10 citations
1
h-index
1–5