Skip to main content A Platform for Semantically Representing and Analyzing Open Fiscal Data

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10845)


Budget and spending data are among the most published Open Data datasets on the Web and continuously increasing in terms of volume over time. These datasets tend to be published in large tabular files – without predefined standards – and require complex domain and technical expertise to be used in real-world scenarios. Therefore, the potential benefits of having these datasets open and publicly available are hindered by their complexity and heterogeneity. Linked Data principles can facilitate integration, analysis and usage of these datasets. In this paper, we present (OBEU), a Linked Data -based platform supporting the entire open data life-cycle of budget and spending datasets: from data creation to publishing and exploration. The platform is based on a set of requirements specifically collected by experts in the budget and spending data domain. It follows a micro-services architecture that easily integrates many different software modules and tools for analysis, visualization and transformation of data. Data is represented according to a logical model for open fiscal data which is translated into both RDF data and a tabular data formats. We demonstrate the validity of the implemented OBEU platform with real application scenarios and report on a user study conducted to confirm its usability.


  • Fiscal Data
  • Spending Data
  • Microservice Architecture
  • Participatory Budgeting
  • Open Data Architecture

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The work presented is co-funded by the EU H2020 for the project (GA no. 645833), Fathoni Musyaffa is supported by a DAAD scholarship.

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Correspondence to Fathoni A. Musyaffa .

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Musyaffa, F.A. et al. (2018). A Platform for Semantically Representing and Analyzing Open Fiscal Data. In: Mikkonen, T., Klamma, R., Hernández, J. (eds) Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 10845. Springer, Cham.

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