LEADER 01745nam  2200397z- 450 
001 9910346780403321
005 20210211
010   $a1000047013
035   $a(CKB)4920000000100719
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47745
035   $a(oapen)doab47745
035   $a(EXLCZ)994920000000100719
100   $a20202102d2015      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aFlexible Integration and Efficient Analysis of Multidimensional Datasets from the Web
210   $cKIT Scientific Publishing$d2015
215   $a1 online resource (XVI, 259 p. p.)
311 08$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   $aanalytical query optimisation
610   $aData Cube
610   $adata integration
610   $aDatenintegration
610   $aDatenwu?rfel
610   $aLinked Data
610   $aOptimierung analytischer Datenbankabfragen
610   $aWeb
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