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Linked Sensor Data: RESTfully serving RDF and GML

Record type: Conference or Workshop Item (Paper)

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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Citation

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 At Semantic Sensor Networks 2009 (SSN09).

More information

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
ORCID for David C. De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700
ORCID for Jason D. Sadler: ORCID iD orcid.org/0000-0001-8260-6812

Catalogue record

Date deposited: 02 Dec 2010 16:21
Last modified: 18 Jul 2017 06:39

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Contributors

Author: Kevin R. Page
Author: David C. De Roure ORCID iD
Author: Kirk Martinez ORCID iD
Author: Jason D. Sadler ORCID iD
Author: Oles Y. Kit

University divisions


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