Flexible Integration And Efficient Analysis Of Multidimensional Datasets From The Web


Download Flexible Integration And Efficient Analysis Of Multidimensional Datasets From The Web PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Flexible Integration And Efficient Analysis Of Multidimensional Datasets From The Web book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web


Flexible Integration and Efficient Analysis of Multidimensional Datasets from the Web

Author: Kaempgen, Benedikt

language: en

Publisher: KIT Scientific Publishing

Release Date: 2015-09-23


DOWNLOAD





If 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.

Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web


Flexible Integration and Efficient Analysis of Multidimensional Datasets From the Web

Author: Benedikt Kämpgen

language: en

Publisher:

Release Date: 2020-10-09


DOWNLOAD





If 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.