Semantic Access to Sensor Observations through Web APIs
Semantic Access to Sensor Observations through Web APIs
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision of data through simple mechanisms, readily accessible, that are quick to develop with. To enable the latter while maintaining support for larger applications and, to increase information utility, links to and from other datasets, we propose a domain-driven approach that embodies REST and Linked Data principles using a common semantic framework that underpins a separation of concerns between domain models, sensor observation infrastructure, and Application Programming Interfaces (APIs) while maintaining information consistency. We describe a reusable, reconfigurable, web service that realises this design and can be deployed to provide access to multiple sources of sensor information, including databases and streaming data, with flexible semantic configuration of the API and domain mapping.
Page, Kevin
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Frazer, Alex
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Nagel, Bart
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De Roure, David
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Martinez, Kirk
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September 2011
Page, Kevin
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Frazer, Alex
66c98099-aae4-47f1-ade1-b6bec4a072f8
Nagel, Bart
d188f8a9-7ffc-4708-9df5-0b230c663793
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18
Page, Kevin, Frazer, Alex, Nagel, Bart, De Roure, David and Martinez, Kirk
(2011)
Semantic Access to Sensor Observations through Web APIs.
Fifth IEEE International Conference on Semantic Computing, Stanford University, Palo Alto, CA, United States.
19 - 21 Sep 2011.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision of data through simple mechanisms, readily accessible, that are quick to develop with. To enable the latter while maintaining support for larger applications and, to increase information utility, links to and from other datasets, we propose a domain-driven approach that embodies REST and Linked Data principles using a common semantic framework that underpins a separation of concerns between domain models, sensor observation infrastructure, and Application Programming Interfaces (APIs) while maintaining information consistency. We describe a reusable, reconfigurable, web service that realises this design and can be deployed to provide access to multiple sources of sensor information, including databases and streaming data, with flexible semantic configuration of the API and domain mapping.
Text
icsc2011-20110721-2.pdf
- Accepted Manuscript
More information
Published date: September 2011
Additional Information:
Event Dates: 19-21/09/2011
Venue - Dates:
Fifth IEEE International Conference on Semantic Computing, Stanford University, Palo Alto, CA, United States, 2011-09-19 - 2011-09-21
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 272695
URI: http://eprints.soton.ac.uk/id/eprint/272695
PURE UUID: cade80b5-a28e-4620-a42f-2da85d88f534
Catalogue record
Date deposited: 23 Aug 2011 15:39
Last modified: 15 Mar 2024 02:53
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Contributors
Author:
Kevin Page
Author:
Alex Frazer
Author:
Bart Nagel
Author:
David De Roure
Author:
Kirk Martinez
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