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A Data-Driven Model for Linking Open Economic Information

  • M. Vafopoulos
  • A. KoukourikosEmail author
  • G. Vafeiadis
  • D. Negkas
  • I. Skaros
  • A. Tzani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10673)

Abstract

While public finance data are becoming openly available as part of the broader promotion of fiscal transparency, there is little effort towards maximizing their potential value by interlinking them under a concrete framework and establishing the means to extract interesting insights. The Linked Open Economy model (LOE) aims to act as a top-level conceptualization that connects economic flows with open economic data and as an adaptable and extensible underlying model for modelling different scenarios. The paper presents the LOE model, emphasizing its theoretical foundations. Furthermore, it presents the usage of the model in realistic settings, showcasing its extensibility and its ability to address interesting questions.

Keywords

Open data Linked Data Semantic web Economy Public procurement Prices Circular financial flow model 

Notes

Acknowledgements

Research and outcomes reported in the present manuscript have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 645886 (YourDataStories – YDS).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • M. Vafopoulos
    • 1
  • A. Koukourikos
    • 1
    Email author
  • G. Vafeiadis
    • 1
  • D. Negkas
    • 2
  • I. Skaros
    • 2
  • A. Tzani
    • 2
  1. 1.Institute of Informatics and TelecommunicationsNational Centre for Scientific Research “Demokritos”Agia ParaskeviGreece
  2. 2.University of PiraeusPiraeusGreece

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