Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web
Dissertationsschrift
(Sprache: Englisch)
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...
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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.
Klappentext zu „Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web “
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.
Bibliographische Angaben
- Autor: Benedikt Kämpgen
- 2015, XVI, 288 Seiten, mit Abbildungen, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: KIT Scientific Publishing
- ISBN-10: 3731503794
- ISBN-13: 9783731503798
Sprache:
Englisch
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