A Sustainable Method for Publishing Interoperable Open Data on the Web

Data

卷:6

Stefan Lefever¹  Brecht Van de Vyvere²  Julián Rojas Meléndez²  Erik Mannens²  Raf Buyle²  Pieter Colpaert²  Dwight Van Lancker²  Eveline Vlassenroot³  Peter Mechant³  Mathias Van Compernolle³ 

[1] Imec EdiT, 2000 Antwerp, Belgium;

[2] Imec—IDLab, Ghent University, 9052 Gent, Belgium;

[3] Imec—MICT, Ghent University, 9000 Ghent, Belgium;

关键词: smart cities;    IoT;    semantic web;    Linked Open Data;    air quality;    railway infrastructure;   

DOI  :  10.3390/data6080093

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown