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Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge

Author

Listed:
  • Alessio Arleo
  • Christos Tsigkanos
  • Chao Jia
  • Roger A. Leite
  • Ilir Murturi
  • Manfred Klaffenboeck
  • Schahram Dustdar
  • Michael Wimmer
  • Silvia Miksch
  • Johannes Sorger

Abstract

Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.

Suggested Citation

  • Alessio Arleo & Christos Tsigkanos & Chao Jia & Roger A. Leite & Ilir Murturi & Manfred Klaffenboeck & Schahram Dustdar & Michael Wimmer & Silvia Miksch & Johannes Sorger, 2019. "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge," Papers 1908.07479, arXiv.org, revised Jan 2020.
    • Handle: RePEc:arx:papers:1908.07479
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    References listed on IDEAS

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    1. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    2. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
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