A Sustainable Method for Publishing Interoperable Open Data on the Web

Raf Buyle, Brecht Van de Vyvere, Julián Rojas Meléndez, Dwight Van Lancker, Eveline Vlassenroot, Mathias Van Compernolle, Stefan Lefever, Pieter Colpaert, Peter Mechant and Erik Mannens
Additional contact information
Raf Buyle: Imec—IDLab, Ghent University, 9052 Gent, Belgium
Brecht Van de Vyvere: Imec—IDLab, Ghent University, 9052 Gent, Belgium
Julián Rojas Meléndez: Imec—IDLab, Ghent University, 9052 Gent, Belgium
Dwight Van Lancker: Imec—IDLab, Ghent University, 9052 Gent, Belgium
Eveline Vlassenroot: Imec—MICT, Ghent University, 9000 Ghent, Belgium
Mathias Van Compernolle: Imec—MICT, Ghent University, 9000 Ghent, Belgium
Stefan Lefever: Imec EdiT, 2000 Antwerp, Belgium
Pieter Colpaert: Imec—IDLab, Ghent University, 9052 Gent, Belgium
Peter Mechant: Imec—MICT, Ghent University, 9000 Ghent, Belgium
Erik Mannens: Imec—IDLab, Ghent University, 9052 Gent, Belgium

Data, 2021, vol. 6, issue 8, 1-32

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.

Keywords: smart cities; IoT; semantic web; Linked Open Data; air quality; railway infrastructure; Linked Data Fragments (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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