Show simple item record

dc.creatorKämpgen, Benedikt
dc.date.accessioned2021-02-23T14:23:42Z
dc.date.available2021-02-23T14:23:42Z
dc.date.created2015
dc.identifier.isbn9783731503798
dc.identifier.otherhttps://directory.doabooks.org/handle/20.500.12854/47745
dc.identifier.urihttp://hdl.handle.net/20.500.12010/17648
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.spa
dc.format.extentXVI, 259 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherKIT Scientific Publishingspa
dc.subjectDatenintegrationspa
dc.subjectData Cubespa
dc.subjectWebspa
dc.titleFlexible Integration and Efficient Analysis of Multidimensional Datasets from the Webspa
dc.subject.lembAlmacenamiento de datosspa
dc.subject.lembDiseño de bases de datosspa
dc.subject.lembIntegración de datos (Computadores)spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doi10.5445/KSP/1000047013
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-sa/4.0/


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record