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OLAP4LD - A Framework for Building Analysis Applications over Governmental Statistics




Published: 2014 Mai

Buchtitel: ESWC 2014 Posters & Demo session
Verlag: Springer
Organisation: ESWC
Referierte Veröffentlichung
BibTeX


Kurzfassung
Although useful governmental statistics have been published as Linked Data, there are query processing and data pre-processing challenges to allow citizens exploring such multidimensional datasets in pivot tables. In this demo paper we present OLAP4LD, a framework for developers of applications over Linked Data sources reusing the RDF Data Cube Vocabulary. Our demonstration will let visiting developers and dataset publishers explore European statistics with the Linked Data Cubes Explorer (LDCX), will explain how LDCX makes use of OLAP4LD, and will show common dataset modelling errors.

Download: Media:Kaempgen olap4ld demo final.pdf

Projekt

LD-Cubes


Verknüpfte Tools

OLAP4LD


Forschungsgruppe

Wissensmanagement


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