Linkitup: Semantic Publishing of Research Data

Conference paper

DOI: 10.1007/978-3-319-12024-9_12

Part of the Communications in Computer and Information Science book series (CCIS, volume 475)
Cite this paper as:
Hoekstra R., Groth P., Charlaganov M. (2014) Linkitup: Semantic Publishing of Research Data. In: Presutti V. et al. (eds) Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, vol 475. Springer, Cham

Abstract

Linkitup is a Web-based dashboard for enrichment of research output published via industry grade data repository services. It takes metadata entered through Figshare.com 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.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rinke Hoekstra
    • 1
    • 2
  • 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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