Multi-disciplinary approaches to intelligently sharing large-volumes of real-time sensor data during natural disasters
Multi-disciplinary approaches to intelligently sharing large-volumes of real-time sensor data during natural disasters
describe our knowledge-based service architecture for multi-risk environmental decision-support, capable of handling geo-distributed heterogeneous real-time data sources. Data sources include tide gauges, buoys, seismic sensors, satellites, earthquake alerts, Web 2.0 feeds to crowd source 'unconventional' measurements, and simulations of Tsunami wave propagation. Our system of systems multi-bus architecture provides a scalable and high performance messaging backbone. We are overcoming semantic interoperability between heterogeneous datasets by using a self-describing 'plug-in' data source approach. As crises develop we can agilely steer the processing server and adapt data fusion and mining algorithm configurations in real-time.
natural disaster, tsunami, semantics, data fusion, ogc, w3c, tridec
109-113
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Lowe, Peter
f7a73cd3-65f1-4699-976e-81d13a785a73
Hammitzsch, Martin
febfa7c3-4b42-4336-bcc3-1f3aa6855c0c
Tavakoli, Siamak
45b55c8e-4cd3-42d4-b3ba-0bb58646f662
Poslad, Stefan
fad30231-02aa-46ee-b9fc-3742f206b419
5 March 2013
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Lowe, Peter
f7a73cd3-65f1-4699-976e-81d13a785a73
Hammitzsch, Martin
febfa7c3-4b42-4336-bcc3-1f3aa6855c0c
Tavakoli, Siamak
45b55c8e-4cd3-42d4-b3ba-0bb58646f662
Poslad, Stefan
fad30231-02aa-46ee-b9fc-3742f206b419
Middleton, Stuart, Sabeur, Zoheir, Lowe, Peter, Hammitzsch, Martin, Tavakoli, Siamak and Poslad, Stefan
(2013)
Multi-disciplinary approaches to intelligently sharing large-volumes of real-time sensor data during natural disasters.
[in special issue: Special Issue of the Proceedings of the 1st WDS Conference in Kyoto 2011,2013]
Data Science Journal, 12, .
Abstract
describe our knowledge-based service architecture for multi-risk environmental decision-support, capable of handling geo-distributed heterogeneous real-time data sources. Data sources include tide gauges, buoys, seismic sensors, satellites, earthquake alerts, Web 2.0 feeds to crowd source 'unconventional' measurements, and simulations of Tsunami wave propagation. Our system of systems multi-bus architecture provides a scalable and high performance messaging backbone. We are overcoming semantic interoperability between heterogeneous datasets by using a self-describing 'plug-in' data source approach. As crises develop we can agilely steer the processing server and adapt data fusion and mining algorithm configurations in real-time.
Text
359360.pdf
- Accepted Manuscript
More information
Published date: 5 March 2013
Keywords:
natural disaster, tsunami, semantics, data fusion, ogc, w3c, tridec
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 359360
URI: http://eprints.soton.ac.uk/id/eprint/359360
ISSN: 1683-1470
PURE UUID: 700e5b82-6186-4c35-a463-f8e597e359cf
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Date deposited: 29 Oct 2013 09:32
Last modified: 15 Mar 2024 03:08
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Contributors
Author:
Zoheir Sabeur
Author:
Peter Lowe
Author:
Martin Hammitzsch
Author:
Siamak Tavakoli
Author:
Stefan Poslad
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