Linkitup: Semantic Publishing of Research Data

  • Rinke HoekstraEmail author
  • Paul Groth
  • Marat Charlaganov
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 475)


Linkitup is a Web-based dashboard for enrichment of research output published via industry grade data repository services. It takes metadata entered through and tries to find equivalent terms, categories, persons or entities on the Linked Data cloud and several Web 2.0 services. It extracts references from publications, and tries to find the corresponding Digital Object Identifier (DOI). Linkitup feeds the enriched metadata back as links to the original article in the repository, but also builds a RDF representation of the metadata that can be downloaded separately, or published as research output in its own right. In this paper, we compare Linkitup to the standard workflow of publishing linked data, and show that it significantly lowers the threshold for publishing linked research data.


Link Data Data Repository Triple Store Repository Service Link Data Technology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This publication was supported by the Dutch national program COMMIT.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rinke Hoekstra
    • 1
    • 2
    Email author
  • Paul Groth
    • 1
  • Marat Charlaganov
    • 1
  1. 1.Network InstituteVU University AmsterdamAmsterdamThe Netherlands
  2. 2.Faculty of LawUniversity of AmsterdamAmsterdamThe Netherlands

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