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.
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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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Vafopoulos, M., Koukourikos, A., Vafeiadis, G., Negkas, D., Skaros, I., Tzani, A. (2017). A Data-Driven Model for Linking Open Economic Information. In: Kompatsiaris, I., et al. Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10673. Springer, Cham. https://doi.org/10.1007/978-3-319-70284-1_25
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DOI: https://doi.org/10.1007/978-3-319-70284-1_25
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