Flexible Integration and Efficient Analysis of Multidimensional Datasets from the WebIf 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. |
Other editions - View all
Flexible Integration and Efficient Analysis of Multidimensional Datasets ... Benedikt Kämpgen No preview available - 2020 |
Common terms and phrases
aggregation functions ALLBUS allows analytical queries approach automatically Chapter computed Data Cube Vocabulary data cubes data sources data warehouse DataCube define describe dimensions and members domain experts Dropedia Eurostat evaluate example execute existing OLAP engines filter FIOS flexible GDP Growth GDP per Capita global cube graph patterns hierarchies implemented instance integration and analysis interface IWRM scenario last accessed LDCX Linked Data Cubes loading Mastercard materialisation MDM-QB Mapping MDX query measures metadata queries multi-cube multidimensional data model multidimensional datasets multidimensional elements nested set OLAP clients OLAP operations OLAP queries OLAP-to-SPARQL Algorithm OLAP4LD ontology pivot table published QB datasets query optimisation query plan query processing RDBMS RDF Aggregate Views RDF Data Cube reusing ROLAP SDMX Semantic Semantic Web set of OLAP shared dimensions slice SMART-DB SPARQL engine SPARQL query specific star schema Statistical Linked Data subcube query triple store Unemployment Fear values XBRL XMLA