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Towards a Linked Data Publishing Methodology

URI
https://arbor.bfh.ch/handle/arbor/37907
Version
Published
Date Issued
2016
Author(s)
Klein, Eduard  
Gschwend, Adrian
Neuroni, Alessia  
Type
Conference Paper
Language
English
Subjects

linked open data

data publishing

linked data life-cycl...

publishing methodolog...

linked data platform

Abstract
Linked open government data (LOGD) can be a catalyst in the development of value-added services and products. The vision of many Linked Open Data (LOD) projects is to make publishing and reuse of linked data as easy as possible for the end user thanks to a thriving marketplace with data publishers, developers, and consumers along the value chain. In the large scale LOD project “Fusepool P3”, tourism-related applications and software components were developed that support data owners and open data enthusiasts in transforming legacy data to linked data. Based on experiences from this project, we present reflections and discuss pitfalls in drawing a linked data publishing methodology. An integrated view on all phases of the publishing process has not been described so far, for the technical phases linked data life-cycles have been identified only. The methodology deve loped enables stakeholders to transfer the lessons learned to other use cases and application contexts. This allows for better estimation of efforts and skills for future LOD projects.
ISBN
9781467389341
DOI
10.24451/arbor.7710
https://doi.org/10.24451/arbor.7710
Publisher DOI
10.1109/CeDEM.2016.12
Publisher URL
http://www.proceedings.com/32603.html
Related URL
https://ieeexplore.ieee.org/document/7781923 publication
Organization
Public Sector Innovation  
Wirtschaft  
Conference
2016 Conference for E-Democracy and Open Government (CeDEM 2016)
Submitter
ServiceAccount
Citation apa
Klein, E., Gschwend, A., & Neuroni, A. (2016). Towards a Linked Data Publishing Methodology (pp. 188–196). https://doi.org/10.24451/arbor.7710
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