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DC Proposal: Online Analytical Processing of Statistical Linked Data

  • Benedikt Kämpgen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7032)

Abstract

The amount of Linked Data containing statistics is increasing; and so is the need for concepts of analysing these statistics. Yet, there are challenges, e.g., discovering datasets, integrating data of different granularities, or selecting mathematical functions. To automatically, flexibly, and scalable integrate statistical Linked Data for expressive and reliable analysis, we propose to use expressive Semantic Web ontologies to build and evolve a well-interlinked conceptual model of statistical data for Online Analytical Processing.

Keywords

Link Data Aggregation Function Link Open Data Heterogeneous Dataset Online Analytical Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Benedikt Kämpgen
    • 1
  1. 1.Institute AIFBKarlsruhe Institute of TechnologyKarlsruheGermany

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