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A Sustainable Method for Publishing Interoperable Open Data on the Web
| Content Provider | MDPI |
|---|---|
| Author | Juli, án Rojas Meléndez Buyle, Raf de Vyvere, Brecht Van Lancker, Dwight Van Vlassenroot, Eveline Compernolle, Mathias Van Lefever, Stefan Colpaert, Pieter Mechant, Peter Mannens, Erik |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 93 |
| e-ISSN | 23065729 |
| DOI | 10.3390/data6080093 |
| Journal | Data |
| Issue Number | 8 |
| Volume Number | 6 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-08-19 |
| Access Restriction | Open |
| Subject Keyword | Data Information and Library Science Smart Cities Iot Semantic Web Linked Open Data Air Quality Railway Infrastructure Linked Data Fragments |
| Content Type | Text |
| Resource Type | Article |
