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Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web
Abstract
If numeric data from the Web are brought together, natural scientists can compare climate measurements with estimations, financial analysts can evaluate companies based on balance sheets and daily stock market values, and citizens can explore the GDP per capita from several data sources. However, heterogeneities and size of data remain a problem. This work presents methods to query a uniform view - the Global Cube - of available datasets from the Web and builds on Linked Data query approaches- doc-type:doctoralThesis
- Text
- info:eu-repo/semantics/doctoralThesis
- dissertation
- info:eu-repo/semantics/publishedVersion
- Web
- Optimierung analytischer Datenbankabfragen
- Datenintegration
- Linked Data
- Datenwürfel
- analytical query optimisation
- data integration
- Data Cube
- ddc:004
- DATA processing & computer science
- info:eu-repo/classification/ddc/004
Similar works
This paper was published in KITopen.
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