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The eLOD Ontology: Modeling Economic Open Data

  • Michalis Vafopoulos
  • Gerasimos Razis
  • Ioannis AnagnostopoulosEmail author
  • Georgios Vafeiadis
  • Dimitrios Negkas
  • Eleftherios Galanos
  • Aggelos Tzani
  • Ilias Skaros
  • Konstantinos Glykos
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 475)

Abstract

For decades, valuable economic data was out of reach for most of the people. Gradually, public budgets and tenders are becoming openly available and global initiatives promote financial transparency and data innovation. But, yet the poor quality of open data undermines their potential to answer interesting questions (e.g. efficiency of public funds and market processes). The eLOD ontology has been initiated as a top-level conceptualization that interlinks the publicly available economic open data by modelling the flows incorporated in public procurement together with the market process to address complex policy issues. This paper presents the basic aspects of eLOD ontology in interlinking and querying diverse open data ranging from budget execution to prices. Already, eLOD ontology is used by two EU projects in order to to develop new systems, to enable information exchange between systems, to integrate data from heterogeneous sources and to publish open data related to economic activities.

Keywords

Linked data Semantic web Knowledge representation Economy 

Notes

Acknowledgements

This work has been supported by a national co-funded project (LinkedEconomy.org) under the 4th National Strategic Reference Framework (NSRF) period between 2007 and 2013. It was implemented by the Ministry of Education and Religious Affairs and the University of Piraeus Research Centre. The project aimed at providing a universal access to Greek and International economy data, as well as at promoting the benefits of linking heterogeneous sources under the concept of open and reusable data in this critical domain.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Michalis Vafopoulos
    • 1
  • Gerasimos Razis
    • 2
  • Ioannis Anagnostopoulos
    • 2
    Email author
  • Georgios Vafeiadis
    • 1
  • Dimitrios Negkas
    • 3
  • Eleftherios Galanos
    • 3
  • Aggelos Tzani
    • 3
  • Ilias Skaros
    • 3
  • Konstantinos Glykos
    • 3
  1. 1.Software and Knowledge Engineering LaboratoryIIT, NCSR-“Demokritos”AthensGreece
  2. 2.Department of Computer Science and Biomedical Informatics, School of SciencesUniversity of ThessalyLamiaGreece
  3. 3.University of Piraeus Research CentrePiraeusGreece

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