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A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stack

Author:
Arndt, Natanael [DBLP] ;
Radtke, Norman [DBLP]
Abstract
Knowledge engineering is becoming more and more important and collaborative approaches are promising. Especially in science, collaborative knowledge engineering on research data is a key factor for success. We propose a three layered method for distributed collaboration in curation of RDF datasets with the aim to bring domain experts into the role to command the process. The method builds on the existing infrastructure and work-flows of software engineering. By adding an RDF layer on top of the Git infrastructure, the method is flexible in its adaption to various domains using domain specific editing interfaces.
  • Citation
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Arndt, N. & Radtke, N., (2017). A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stack. In: Eibl, M. & Gaedke, M. (Hrsg.), INFORMATIK 2017. Gesellschaft für Informatik, Bonn. (S. 1873-1881). DOI: 10.18420/in2017_187
@inproceedings{mci/Arndt2017,
author = {Arndt, Natanael AND Radtke, Norman},
title = {A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stack},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 1873-1881 } ,
doi = { 10.18420/in2017_187 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info

DOI: 10.18420/in2017_187
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)

Keywords

  • distributed collaboration
  • collaborative curation
  • quit
  • git
  • SPARQL Update
  • rdf dataset
  • domain specific
  • semantic web
  • distributed version control system
  • knowledge engineering
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  • P275 - INFORMATIK 2017 [266]

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Diese Digital Library basiert auf DSpace.

 

 


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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.