RESTfully serving RDF and GML semantic sensor grids for rapid application development for environmental linked data on the semantic web
RESTfully serving RDF and GML semantic sensor grids for rapid application development for environmental linked data on the semantic web
Publishing sensor observations on the Linked Data web is the first step in enabling the development of semantic web applications and mashups that can utilise sensor data. We present the design for a prototype API exposing data from the Channel Coastal Observatory in the UK. By combining REST and Linked Data principles we support both Semantic Web clients, OGC GML clients, and hybrid applications that can transpose between these, and other, representations.
Page, Kevin R.
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De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
Martinez, Kirk
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Sadler, Jason D.
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Kit, Oles Y
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October 2009
Page, Kevin R.
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
Sadler, Jason D.
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Kit, Oles Y
4cad0def-a872-4b99-8934-a781bd55f9f8
Page, Kevin R., De Roure, David C., Martinez, Kirk, Sadler, Jason D. and Kit, Oles Y
(2009)
RESTfully serving RDF and GML semantic sensor grids for rapid application development for environmental linked data on the semantic web.
Semantic Sensor Networks 2009 (SSN09).
14 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Publishing sensor observations on the Linked Data web is the first step in enabling the development of semantic web applications and mashups that can utilise sensor data. We present the design for a prototype API exposing data from the Channel Coastal Observatory in the UK. By combining REST and Linked Data principles we support both Semantic Web clients, OGC GML clients, and hybrid applications that can transpose between these, and other, representations.
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More information
Published date: October 2009
Venue - Dates:
Semantic Sensor Networks 2009 (SSN09), 2009-10-01
Identifiers
Local EPrints ID: 485709
URI: http://eprints.soton.ac.uk/id/eprint/485709
PURE UUID: 31e165ae-a8e4-4a6f-a956-b07bf5fcadf8
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Date deposited: 15 Dec 2023 17:32
Last modified: 16 Dec 2023 02:35
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Contributors
Author:
Kevin R. Page
Author:
David C. De Roure
Author:
Kirk Martinez
Author:
Oles Y Kit
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