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A Proposal for Self-Service OLAP Endpoints for Linked RDF Datasets

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Knowledge Engineering and Knowledge Management (EKAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

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Abstract

Leveraging external RDF data for OLAP analysis opens a wide variety of possibilities that enable analysts to gain interesting insights related to their businesses. While variations of statistical linked data are easily accessible to OLAP systems, exploiting non-statistical linked data, such as DBpedia, for OLAP analysis is not trivial. An OLAP system for these data should, on the one hand, take into account the big volume, heterogeneity, graph nature, and semantics of the RDF data. On the other hand, dealing with external RDF data requires a degree of self-sufficiency of the analyst, which can be met via self-service OLAP, without assistance of specialists. In this paper, we argue the need for self-service OLAP endpoints for linked RDF datasets. We review the related literature and sketch an approach. In particular, we propose the use of multidimensional schemas and analysis graphs over linked RDF datasets, which will empower users to perform self-service OLAP analysis on the linked RDF datasets.

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Notes

  1. 1.

    Though our main motive is LOD, the principles presented apply to other variations of RDF datasets. Thus, we use the term RDF datasets in general from now on.

  2. 2.

    http://ontotext.com/semantic-solutions/dynamic-semantic-publishing-platform/linked-data-integration-for-global-publishers/.

  3. 3.

    https://www.theguardian.com/technology/2016/jun/30/tesla-autopilot-death-self-driving-car-elon-musk.

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Acknowledgment

I thank my supervisors, Dr. Christoph Schuetz and Dr. Michael Schrefl. I am funded by Erasmus Mundus - ASSUR program.

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Authors and Affiliations

  1. Department of Business Informatics – Data & Knowledge Engineering, Johannes Kepler University, Linz, Austria

    Median Hilal

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  1. Median Hilal
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Correspondence to Median Hilal .

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Editors and Affiliations

  1. University of Bologna , Bologna, Italy

    Paolo Ciancarini

  2. University of Bologna , Bologna, Italy

    Francesco Poggi

  3. Stanford University , Palo Alto, California, USA

    Matthew Horridge

  4. Lancaster University , Lancaster, United Kingdom

    Jun Zhao

  5. Garvan Institute of Medical Research , Darlinghurst, New South Wales, Australia

    Tudor Groza

  6. Universidad Politecnica de Madrid , Boadilla del Monte, Spain

    Mari Carmen Suarez-Figueroa

  7. The Open University , Milton Keynes, United Kingdom

    Mathieu d'Aquin

  8. STLab ISTC-CNR , Rome, Italy

    Valentina Presutti

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Hilal, M. (2017). A Proposal for Self-Service OLAP Endpoints for Linked RDF Datasets. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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