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Abstract
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| FarolApp is a mobile web application that aims to increase the awareness of light pollution by generating illustrative maps for cities and by encouraging citizens and public administrations to provide street light information in an ubiquitous and interactive way using online street views. In addition to the maps, FarolApp builds on existing sources to generate and provide up-to-date data by crowdsourced user annotations. Generated data is available as dereferenceable Linked Data resources in several RDF formats and via a queryable SPARQL endpoint. We pro- pose Live Linked Data, a new approach to publish data about city infras- structures trying to keep them synchronized leveraging the collaboration of citizens. The demo presented in this paper illustrates how FarolApp maintains continuously evolving Linked Data that reflect the current status of city street light infrastructures and use that data to generate light pollution maps. | |
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International
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Si |
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Congress
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The 15th International Semantic Web Conference (ISWC 2016) |
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960 |
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Place
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Kobe, Japon |
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Reviewers
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Si |
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ISBN/ISSN
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1613-0073 |
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Start Date
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17/10/2016 |
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End Date
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21/10/2016 |
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From page
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1 |
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To page
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4 |
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Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016) http://ceur-ws.org/Vol-1690/ |