LEADER 01727nam  2200385z- 450 
001 9910346780403321
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010   $a1000047013
035   $a(CKB)4920000000100719
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47745
035   $a(EXLCZ)994920000000100719
100   $a20202102d2015      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFlexible Integration and Efficient Analysis of Multidimensional Datasets from the Web
210   $cKIT Scientific Publishing$d2015
215   $a1 electronic resource (XVI, 259 p. p.)
311   $a3-7315-0379-4 
330   $aIf 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.
610   $aDatenintegration
610   $aData Cube
610   $aWeb
610   $aOptimierung analytischer Datenbankabfragen
610   $aanalytical query optimisation
610   $aLinked Data
610   $adata integration
610   $aDatenwürfel
700   $aKämpgen$b Benedikt$4auth$01291770
906   $aBOOK
912   $a9910346780403321
996   $aFlexible Integration and Efficient Analysis of Multidimensional Datasets from the Web$93021902
997   $aUNINA