Linked Sensor Data: RESTfully serving RDF and GML
Linked Sensor Data: RESTfully serving RDF and GML
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.
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Martinez, Kirk
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Sadler, Jason D.
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Kit, Oles Y.
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October 2009
Page, Kevin R.
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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.
48dd3a17-16ef-4682-82c8-24950abc0681
Page, Kevin R., De Roure, David C., Martinez, Kirk, Sadler, Jason D. and Kit, Oles Y.
(2009)
Linked Sensor Data: RESTfully serving RDF and GML.
Semantic Sensor Networks 2009 (SSN09).
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.
Text
ssn09-krp-03.pdf
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Published date: October 2009
Venue - Dates:
Semantic Sensor Networks 2009 (SSN09), 2009-10-01
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 271743
URI: http://eprints.soton.ac.uk/id/eprint/271743
PURE UUID: d7dffd2a-75fb-4e1c-bb25-caf0ad5a1f55
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Date deposited: 02 Dec 2010 16:21
Last modified: 15 Mar 2024 02:53
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Contributors
Author:
Kevin R. Page
Author:
David C. De Roure
Author:
Kirk Martinez
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