Semantic Data Fusion
Semantic Data Fusion is a geospatial data fusion method that integrates heterogeneous data sources by resolving semantic discrepancies through explicit representation and alignment of meaning, enabling coherent interpretation and reasoning across diverse ontologies and schemas.
165
Publications
7.5K
Citations
674
Authors
254
Institutions
Publications per year
2017–2026
72
Parents
165
Methodologies for Cross-Domain Data Fusion: An Overview
Yu Zheng · IEEE Transactions on Big Data · 2015 · 441 citations
Object Fusion in Mediator Systems
Yannis Papakonstantinou, Serge Abiteboul, Héctor García-Molina · 1996 · 222 citations
1–5 of 165
674
4
h-index
3
h-index
2
h-index
Centre National de la Recherche Scientifique, France
2 publications · 80 citations
2
h-index
2
h-index
1–5 of 674
254

Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
1.2K citations
University of Pittsburgh
Pittsburgh, United States
4 h-index
5 publications
85 citations
Cardiff University
Cardiff, United Kingdom
4 h-index
15 publications
582 citations
New Jersey Institute of Technology
Newark, United States
3 h-index
3 publications
69 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
473 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
10 publications
530 citations

Zhejiang University
Hangzhou, China
3 h-index
6 publications
423 citations

Beijing Institute of Technology
Beijing, China
3 h-index
10 publications
639 citations
1–8 of 254
11 publications · 526 citations
11
h-index
4 publications · 178 citations
4
h-index
3 publications · 186 citations
3
h-index
3 publications · 115 citations
3
h-index
3 publications · 256 citations
3
h-index
1–5