Linkitup: Semantic Publishing of Research Data

Authors
Publication date 2014
Host editors
  • V. Presutti
  • M. Stankovic
  • E. Cambria
  • I. Cantador
  • A. Di Iorio
  • T. Di Noia
  • C. Lange
  • D.R. Recupero
  • A. Tordai
Book title Semantic Web Evaluation Challenge
Book subtitle SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014: revised selected papers
ISBN
  • 9783319120232
Series Communications in Computer and Information Science
Event Semantic Web Evaluation Challenge at ESWC 2014
Pages (from-to) 95-100
Publisher Cham: Springer
Organisations
  • Faculty of Law (FdR) - Leibniz Center for Law (FdR)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-319-12024-9_12
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