Cross-source Data Linking
Cross-Source Data Linking is a data integration method that identifies and establishes semantic correspondences between heterogeneous datasets originating from distinct sources, enabling unified analysis through schema alignment and entity resolution.
127
Publications
5.1K
Citations
411
Authors
161
Institutions
Publications per year
2017–2026
26
127
Silk - A Link Discovery Framework for the Web of Data
Julius Volz, Christian Bizer, Martin Gaedke et al. · MADOC (University of Mannheim) · 2009 · 400 citations · Full text
RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data
Anastasia Dimou, Miel Vander Sande, Pieter Colpaert et al. · 2014 · 340 citations
DiscoveryLink: A system for integrated access to life sciences data sources
Laura M. Haas, Peter Schwarz, P. Kodali et al. · IBM Systems Journal · 2001 · 270 citations
Pay-as-you-go user feedback for dataspace systems
Shawn R. Jeffery, Michael J. Franklin, Alon Halevy · 2008 · 216 citations
Adrian Bachmann, Christian Bird, Foyzur Rahman et al. · 2010 · 194 citations
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161
Leipzig University
Leipzig, Germany
5 h-index
9 publications
270 citations
University of Southampton
Southampton, United Kingdom
5 h-index
13 publications
339 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
8 publications
230 citations

European Bioinformatics Institute
Cambridge, United Kingdom
4 h-index
28 publications
3K citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
4 h-index
11 publications
456 citations
Freie Universität Berlin
Berlin, Germany
3 h-index
6 publications
578 citations
University of Vienna
Vienna, Austria
3 h-index
6 publications
112 citations

International Computer Science Institute
Berkeley, United States
3 h-index
3 publications
141 citations
1–8 of 161
PVLDB · 4 publications · 138 citations
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Repository · 3 publications · 467 citations
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Repository · 2 publications · 90 citations
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Repository · 2 publications · 119 citations
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2 publications · 147 citations
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