A Sustainable Method for Publishing Interoperable Open Data on the Web
| Autor: | Eveline Vlassenroot, Erik Mannens, Mathias Van Compernolle, Raf Buyle, Stefan Lefever, Julian Andres Rojas Melendez, Peter Mechant, Dwight Van Lancker, Brecht Van de Vyvere, Pieter Colpaert |
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| Rok vydání: | 2021 |
| Předmět: |
IoT
Technology and Engineering Information Systems and Management smart cities Computer science Interoperability Social Sciences THINGS Data publishing infrastructure Bibliography. Library science. Information resources Linked Data Fragments World Wide Web semantic web INTERNET Publication Semantic Web business.industry Linked data air quality railway Computer Science Applications MODEL Open data railway infrastructure Scalability The Internet business Linked Open Data Information Systems |
| Zdroj: | DATA Data Volume 6 Issue 8 Data, Vol 6, Iss 93, p 93 (2021) |
| ISSN: | 2306-5729 |
| DOI: | 10.3390/data6080093 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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