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)


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.


  1. 1.
    Capadisli, S., Auer, S., Riedl, R.: Linked statistical data analysis. In: Semantic Web Challenge 2013 (2013)Google Scholar
  2. 2.
    Hoefler, P.: Linked data interfaces for non-expert users. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 702–706. Springer, Heidelberg (2013)Google Scholar
  3. 3.
    Kämpgen, B., Harth, A.: No size fits all – running the star schema benchmark with SPARQL and RDF aggregate views. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 290–304. Springer, Heidelberg (2013)Google Scholar
  4. 4.
    McCusker, J.P., McGuinness, D.L., Lee, J., Thomas, C., Courtney, P., Tatalovich, Z., Contractor, N., Morgan, G., Shaikh, A.: Towards next generation health data exploration: a data cube-based investigation into population statistics for tobacco. In: Proceedings of the 2013 46th Hawaii International Conference on System Sciences (2013)Google Scholar
  5. 5.
    Salas, P.E.R., Martin, M., Mota, F.M.D., Auer, S., Breitman, K., Casanova, M.A.: Publishing statistical data on the web. In: Proceedings of the 2012 IEEE Sixth International Conference on Semantic Computing (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute AIFBKarlsruhe Institute of TechnologyKarlsruheGermany

Personalised recommendations