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OLAP4LD – A Framework for Building Analysis Applications Over Governmental Statistics

  • Benedikt KämpgenEmail author
  • Andreas Harth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

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.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute AIFBKarlsruhe Institute of TechnologyKarlsruheGermany

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