Semantic Network Modeling
Semantic Network Modeling is a formal method in domain modeling that represents domain knowledge as a directed graph of nodes and labeled edges, where nodes denote conceptual entities or propositions and edges encode semantic relationships, thereby enabling explicit, machine-interpretable representations of meaning and inference structures within a domain.
529
Publications
27.6K
Citations
1.4K
Authors
559
Institutions
Publications per year
2017–2026
176
Parents
529
Mine Your Own Business: Market-Structure Surveillance Through Text Mining
Oded Netzer, Ronen Feldman, Jacob Goldenberg et al. · Marketing Science · 2012 · 704 citations
Jolene Zywica, James A. Danowski · Journal of Computer-Mediated Communication · 2008 · 620 citations
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He et al. · 2017 · 497 citations
1–5 of 529
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559
New Jersey Institute of Technology
Newark, United States
11 h-index
40 publications
1.1K citations
Institute of Computing Technology
Beijing, China
10 h-index
22 publications
751 citations
Kean University
Union, United States
10 h-index
23 publications
753 citations
Columbia University
New York, United States
9 h-index
25 publications
2.7K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
20 publications
729 citations

Chinese Academy of Sciences
Beijing, China
8 h-index
23 publications
713 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
12 publications
952 citations
University at Buffalo, State University of New York
Buffalo, United States
6 h-index
8 publications
781 citations
1–8 of 559
Repository · 23 publications · 995 citations
16
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Conference · 7 publications · 143 citations
7
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7 publications · 196 citations
7
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6 publications · 197 citations
6
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JAMIA · 6 publications · 437 citations
6
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