Semantic Model Matching
Semantic Model Matching is a methodological framework within model integration that identifies equivalent elements across heterogeneous models by aligning their meaning-based representations, distinguished from syntactic or structural matching approaches through its reliance on formal semantics and domain-specific knowledge.
43
Publications
1.6K
Citations
145
Authors
69
Institutions
Publications per year
2017–2026
22
Parents
43
Annotation and merging of SBML models with semanticSBML
Falko Krause, Jannis Uhlendorf, Timo Lubitz et al. · Bioinformatics · 2009 · 102 citations · Full text
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Yichen Jiang, Shikha Bordia, Zheng Zhong et al. · 2020 · 95 citations · Full text
Enhanced service discovery in Bluetooth
Srikanthudu Avancha, Anupam Joshi, Tim Finin · Computer · 2002 · 77 citations
Computing, Information Technology, Digital Communication +16
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University of Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
476 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
146 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
476 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
2 h-index
4 publications
124 citations
University of Münster
Münster, Germany
2 h-index
2 publications
27 citations
Center for Excellence in Brain Science and Intelligence Technology
Shanghai, China
2 h-index
2 publications
238 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
6 publications
152 citations
University of Maryland, College Park
College Park, United States
1 h-index
3 publications
231 citations
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2 publications · 35 citations
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1 publications · 77 citations
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1 publications · 54 citations
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TDS · 1 publications · 14 citations
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1 publications · 15 citations
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