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dc.contributor.authorKämpgen, Benedikt*
dc.date.accessioned2021-02-11T13:46:55Z
dc.date.available2021-02-11T13:46:55Z
dc.date.issued2015*
dc.date.submitted2019-07-30 20:01:57*
dc.identifier34342*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/47745
dc.description.abstractIf 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.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherDatenintegration*
dc.subject.otherData Cube*
dc.subject.otherWeb*
dc.subject.otherOptimierung analytischer Datenbankabfragen*
dc.subject.otheranalytical query optimisation*
dc.subject.otherLinked Data*
dc.subject.otherdata integration*
dc.subject.otherDatenwürfel*
dc.titleFlexible Integration and Efficient Analysis of Multidimensional Datasets from the Web*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000047013*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731503798*
oapen.pagesXVI, 259 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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