Knowledge Graph Construction
Knowledge Graph Construction is a methodological process in knowledge engineering that involves the systematic extraction, integration, and structuring of heterogeneous data sources into a unified, semantically rich graph representation composed of entities, relations, and attributes governed by a formal ontology.
778
Publications
36.1K
Citations
2.6K
Authors
810
Institutions
Publications per year
2017–2026
656
Variants
Knowledge Graph CreationKnowledge Graph Generation
Parents
778
Knowledge Graph Embedding via Dynamic Mapping Matrix
Guoliang Ji, Shizhu He, Liheng Xu et al. · 2015 · 1.9K citations · Full text
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Zhepei Wei, Jianlin Su, Yue Wang et al. · 2020 · 622 citations · Full text
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa et al. · Artificial Intelligence Review · 2023 · 604 citations · Full text
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810

Zhejiang University
Hangzhou, China
17 h-index
84 publications
4.6K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
69 publications
11.9K citations
Tsinghua University
Beijing, China
13 h-index
35 publications
2.3K citations
Tongji University
Shanghai, China
12 h-index
24 publications
974 citations
Nanyang Technological University
Singapore, Singapore
12 h-index
24 publications
1.8K citations

Beihang University
Beijing, China
11 h-index
22 publications
837 citations

Shanghai Jiao Tong University
Shanghai, China
11 h-index
26 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
28 publications
1.4K citations
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18 publications · 966 citations
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22 publications · 983 citations
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Repository · 21 publications · 664 citations
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14 publications · 545 citations
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13 publications · 760 citations
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