Knowledge Graph Curation
Knowledge Graph Curation is a systematic academic process within knowledge engineering that involves the creation, refinement, validation, and maintenance of knowledge graph content to ensure its accuracy, completeness, consistency, and alignment with intended conceptual and domain-specific requirements.
26
Publications
1.1K
Citations
123
Authors
59
Institutions
Publications per year
2017–2026
26
26
Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar et al. · 2019 · 210 citations · Full text
The Deep-Time Digital Earth program: data-driven discovery in geosciences
Chengshan Wang, Robert M. Hazen, Qiuming Cheng et al. · National Science Review · 2021 · 122 citations · Full text
Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi et al. · Future Generation Computer Systems · 2020 · 103 citations · Full text
1–5 of 26
123
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 123
59

Technische Informationsbibliothek (TIB)
Hanover, Germany
4 h-index
25 publications
1.9K citations
L3S Research Center
Hanover, Germany
3 h-index
8 publications
652 citations

Leibniz University Hannover
Hanover, Germany
3 h-index
8 publications
652 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
398 citations
Research Institute of Petroleum Exploration and Development
Beijing, China
1 h-index
3 publications
81 citations
Amazon (United States)
Seattle, United States
1 h-index
1 publications
116 citations
First Affiliated Hospital of Harbin Medical University
Harbin, China
1 h-index
8 publications
120 citations

University of Naples Federico II
Naples, Italy
1 h-index
5 publications
110 citations
1–8 of 59
Repository · 2 publications · 152 citations
2
h-index
Repository · 2 publications · 43 citations
2
h-index
JOCCH · 1 publications · 22 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 27 citations
1
h-index
1–5