Knowledge Graph Query Design
Knowledge Graph Query Design is a methodological framework within knowledge graph research that specifies the principles and structures for formulating, optimizing, and executing queries to retrieve implicit or explicit knowledge from a knowledge graph, distinguished by its focus on query expressiveness, computational efficiency, and alignment with user intent.
6
Publications
139
Citations
22
Authors
10
Institutions
Publications per year
2017–2026
4
Parents
6
GQBE: Querying knowledge graphs by example entity tuples
Nandish Jayaram, Mahesh Gupta, Arijit Khan et al. · 2014 · 30 citations
1–5 of 6
22
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1
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Islamic Azad University, Science and Research Branch, Iran
1 publications · 29 citations
1
h-index
1
h-index
1
h-index
1–5 of 22
10

Central South University
Changsha, China
1 h-index
2 publications
44 citations
The University of Texas at Arlington
Arlington, United States
1 h-index
4 publications
120 citations

Harbin Institute of Technology
Harbin, China
1 h-index
3 publications
42 citations
University of Isfahan
Isfahan, Iran
1 h-index
1 publications
29 citations
MIT Lincoln Laboratory
Lexington, United States
1 h-index
2 publications
62 citations
Islamic Azad University, Science and Research Branch
Tehran, Iran
1 h-index
3 publications
87 citations

Marquette University
Milwaukee, United States
1 h-index
2 publications
26 citations
Tufts University
Medford, United States
1 h-index
3 publications
93 citations
1–8 of 10
TVCG · 1 publications · 31 citations
1
h-index
1 publications · 22 citations
1
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TKDE · 1 publications · 14 citations
1
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Conference · 1 publications · 13 citations
1
h-index
1 publications · 29 citations
1
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1–5