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IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments

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Advanced Visual Interfaces. Supporting Big Data Applications (AVI-BDA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10084))

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Abstract

This paper introduces an approach to develop an up-to-date reference model that can support advanced visual user interfaces for distributed Big Data Analysis in virtual labs to be used in e-Science, industrial research, and Data Science education. The paper introduces and motivates the current situation in this application area as a basis for a corresponding problem statement that is utilized to derive goals and objectives of the approach. Furthermore, the relevant state-of-the-art is revisited and remaining challenges are identified. An exemplar set of use cases, corresponding user stereotypes as well as a conceptual design model to address these challenges are introduced. A corresponding architectural system model is suggested as a conceptual reference architecture to support proof-of-concept implementations as well as to support interoperability in distributed infrastructures. Conclusions and an outlook on future work complete the paper.

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Acknowledgments and Disclaimer

This publication has been produced in the context of the EDISON project. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 675419. However, this paper reflects only the author’s view and the European Commission is not responsible for any use that may be made of the information it contains.

Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Marco X. Bornschlegl, Kevin Berwind, Felix C. Engel & Matthias L. Hemmje

  2. Lucerne University of Applied Sciences and Arts, Engineering and Architecture, Horw, Switzerland

    Michael Kaufmann

  3. CIT Informatics, Cork Institute of Technology, Cork, Ireland

    Paul Walsh

  4. Grupo INMARK, Madrid, Spain

    Ruben Riestra

Authors
  1. Marco X. Bornschlegl
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  2. Kevin Berwind
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  4. Felix C. Engel
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  5. Paul Walsh
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  6. Matthias L. Hemmje
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  7. Ruben Riestra
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Corresponding author

Correspondence to Marco X. Bornschlegl .

Editor information

Editors and Affiliations

  1. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Marco X. Bornschlegl

  2. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Felix C. Engel

  3. School of Computing and Mathematics, University of Ulster, Newtownabbey, Antrim, UK

    Raymond Bond

  4. Faculty of Mathematics and Computer Science, University of Hagen, Hagen, Germany

    Matthias L. Hemmje

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Bornschlegl, M.X. et al. (2016). IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments. In: Bornschlegl, M.X., Engel, F.C., Bond, R., Hemmje, M.L. (eds) Advanced Visual Interfaces. Supporting Big Data Applications. AVI-BDA 2016. Lecture Notes in Computer Science(), vol 10084. Springer, Cham. https://doi.org/10.1007/978-3-319-50070-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-50070-6_1

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  • Online ISBN: 978-3-319-50070-6

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