@article{8719697,
  abstract     = {{Smart cities need (sensor) data for better decision-making. However, while there are vast amounts of data available about and from cities, an intermediary is needed that connects and interprets (sensor) data on a Web-scale. Today, governments in Europe are struggling to publish open data in a sustainable, predictable and cost-effective way. Our research question considers what methods for publishing Linked Open Data time series, in particular air quality data, are suitable in a sustainable and cost-effective way. Furthermore, we demonstrate the cross-domain applicability of our data publishing approach through a different use case on railway infrastructure-Linked Open Data. Based on scenarios co-created with various governmental stakeholders, we researched methods to promote data interoperability, scalability and flexibility. The results show that applying a Linked Data Fragments-based approach on public endpoints for air quality and railway infrastructure data, lowers the cost of publishing and increases availability due to better Web caching strategies.}},
  articleno    = {{93}},
  author       = {{Buyle, Raf and Van de Vyvere, Brecht and Rojas Melendez, Julian Andres and Van Lancker, Dwight and Vlassenroot, Eveline and Van Compernolle, Mathias and Lefever, Stefan and Colpaert, Pieter and Mechant, Peter and Mannens, Erik}},
  issn         = {{2306-5729}},
  journal      = {{DATA}},
  keywords     = {{INTERNET,THINGS,MODEL,smart cities,IoT,semantic web,Linked Open Data,air quality,railway,infrastructure,Linked Data Fragments}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{32}},
  title        = {{A sustainable method for publishing interoperable open data on the web}},
  url          = {{http://doi.org/10.3390/data6080093}},
  volume       = {{6}},
  year         = {{2021}},
}

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