IMI: A Common Vocabulary Framework for Open Government Data

  • Fumihiro KatoEmail author
  • Hideaki Takeda
  • Shuichi Tashiro
  • Kenji Hiramoto
  • Yuzo Matsuzawa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11341)


Making meanings of terms used in government systems exchangeable is important to enhance semantic interoperability between systems and promote use of open government data. IMI is an interoperability framework for digital government and open government data in Japan. The IMI common vocabulary framework which is a part of IMI since 2013 aims to provide a mechanism for sharing meanings of terms and relationships between terms to enhance interoperability. This paper describes the current status of the IMI common vocabulary framework to share our experiences and knowledge from the development in five years. At first we illustrate the IMI common vocabulary and its core vocabulary which includes a basic set of terms used in data or referred from existing data to share meanings. Then we describe specifications of components in the common vocabulary framework like data exchange formats, notations and a package system. As the IMI common vocabulary has been already used in various areas, we also introduce its deployment support and real use cases of the common vocabulary framework.


Semantic interoperability Common vocabulary Open government data Linked Open Data 


  1. 1.
    Declaration to Be the World’s Most Advanced IT Nation Basic Plan for the Advancement of Public and Private Sector Data Utilization (2017).
  2. 2.
  3. 3.
    IMI Core Vocabulary (2.4.1).
  4. 4.
  5. 5.
    Biron, P.V., Malhotra, A.: XML Schema Part 2: Datatypes Second Edition. W3C Recommendation (2004)Google Scholar
  6. 6.
    Dublin Core Metadata Initiative: Dublin Core Metadata Element Set, Version 1.1. DCMI Recommendation (2012)Google Scholar
  7. 7.
    Clark, J., DeRose, S.: XML Path Language (XPath) Version 1.0. W3C Recommendation (1999)Google Scholar
  8. 8.
    List of Data Model Description.
  9. 9. Open Data Platform.
  10. 10.
    Berners-Lee, T., Fielding, R., Masinter, L.: Uniform Resource Identifier (URI): Generic Syntax. RFC 3986 (2005)Google Scholar
  11. 11.
    Archer, P.: HTTPS and the Semantic Web/Linked Data (2016).
  12. 12.
    Gillies, S.: GeoJSON-LD (2017).
  13. 13.
  14. 14.
    Yamamoto, D., et al.: Geographic area representations in statistical linked open data of Japan. In: 5th International Workshops on Semantics Statistics (2017)Google Scholar
  15. 15.
    Cabinet office of Japan and Ministry of Economy Trade and Industry: Corporate Information.
  16. 16.
  17. 17.
    Vocabulary for Corporate Information, PD2342.
  18. 18.
    Corporate Analysis Web Application.
  19. 19.
    Saitama Prefectural Government: Publishing Open Data in the Common Format.
  20. 20.
    City of Osaka Linked Open Data.
  21. 21.
    City of Kyoto Open Data.
  22. 22.
    City of Kobe Linked Open Data.
  23. 23.
    B Inc.:
  24. 24.
    SEMIC: Core Data Model Mapping Directory.
  25. 25.
    Object Management Group: UML Profile for NIEM Version 3.0.
  26. 26.
    European Commission: Joinup.
  27. 27.
    Google, Yahoo, Microsoft and Yandex:
  28. 28.
    W3C: Community Group.
  29. 29.
    GS1 Web Vocabulary.

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.Information-technology Promotion AgencyTokyoJapan
  3. 3.Ministry of Economy, Trade and IndustryTokyoJapan
  4. 4.IndigoTokyoJapan

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