Data Contextualization
Data Contextualization is the systematic process of embedding raw data within a relevant framework of metadata, domain knowledge, and situational parameters to enhance its interpretability, usability, and significance for a specific analytical or operational purpose.
85
Publications
3.3K
Citations
283
Authors
150
Institutions
Publications per year
2017–2026
37
Parents
85
Cathie. Harrop · Social Science Information Studies · 1982 · 137 citations
And what can context do for data?
Cristiana Bolchini, Carlo Curino, Giorgio Orsi et al. · Communications of the ACM · 2009 · 94 citations
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150
Google (United States)
Mountain View, United States
3 h-index
5 publications
247 citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
2 h-index
6 publications
237 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
73 citations
Shandong University
Jinan, China
2 h-index
4 publications
92 citations
Microsoft (United States)
Redmond, United States
2 h-index
5 publications
117 citations
Politecnico di Milano
Milan, Italy
2 h-index
12 publications
983 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
154 citations
Yahoo (Spain)
Madrid, Spain
2 h-index
3 publications
34 citations
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Repository · 2 publications · 29 citations
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2 publications · 94 citations
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2 publications · 212 citations
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1 publications · 13 citations
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QR · 1 publications · 17 citations
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