Machine-readable Metadata
Machine-Readable Metadata is a type of metadata structured in a standardized, formal syntax that enables automated systems to interpret, process, and exchange data without human intervention.
49
Publications
3.4K
Citations
190
Authors
86
Institutions
Publications per year
2017–2026
14
Parents
49
Automatic sense disambiguation using machine readable dictionaries
Michael Lesk · 1986 · 1.8K citations · Full text
Aidan Hogan, Andreas Harth, Alexandre Passant et al. · Arrow@dit (Dublin Institute of Technology) · 2010 · 165 citations · Full text
An analysis of the GTZAN music genre dataset
Bob L. Sturm · 2012 · 111 citations · Full text
A data citation roadmap for scholarly data repositories
Martin Fenner, Mercè Crosas, Jeffrey S. Grethe et al. · Scientific Data · 2019 · 107 citations · Full text
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86
University of Oxford
Oxford, United Kingdom
3 h-index
6 publications
244 citations
DataCite
Hanover, Germany
3 h-index
3 publications
192 citations
University of California San Diego
San Diego, United States
3 h-index
6 publications
294 citations
Ludwig-Maximilians-Universität München
Munich, Germany
3 h-index
12 publications
322 citations

University of Manchester
Manchester, United Kingdom
2 h-index
6 publications
194 citations
Syracuse University
Syracuse, United States
2 h-index
2 publications
128 citations
Harvard University
Cambridge, United States
2 h-index
3 publications
235 citations
University of Virginia
Charlottesville, United States
2 h-index
2 publications
171 citations
1–8 of 86
3 publications · 97 citations
3
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Repository · 2 publications · 44 citations
2
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2 publications · 119 citations
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2 publications · 136 citations
2
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Repository · 1 publications · 21 citations
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