Linkitup: Semantic publishing of research data

Rinke Hoekstra, Paul Groth, Marat Charlaganov

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publicationSemantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Revised Selected Papers
EditorsTommaso Di Noia, Valentina Presutti, Diego Reforgiato Recupero, Iván Cantador, Christoph Lange, Christoph Lange, Anna Tordai, Christoph Lange, Milan Stankovic, Erik Cambria, Angelo Di Iorio
PublisherSpringer Verlag
Pages95-100
Number of pages6
ISBN (Electronic)9783319120232
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
Volume475
ISSN (Print)1865-0929

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