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Aktuelle Version vom 15. September 2014, 06:00 Uhr
OLAP4LD - A Framework for Building Analysis Applications over Governmental Statistics
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
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
- Link to demo: http://ldcx.linked-data-cubes.org/projects/ldcx/
- Link to website describing demo at conference: http://linked-data-cubes.org/index.php/OLAP4LD_Demo_at_ESWC_2014