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Knowledge-based service architecture for multi-risk environmental decision support applications

Knowledge-based service architecture for multi-risk environmental decision support applications
Knowledge-based service architecture for multi-risk environmental decision support applications
This paper describes our work to date on knowledge-based service architecture implementations for multi-risk environmental decision-support. The work described spans two research projects, SANY and TRIDEC, and covers application domains where very large, high report frequency real-time information sources must be processed in challenging timescales to support multi-risk decision support in evolving crises. We describe how OGC and W3C standards can be used to support semantic interoperability, and how context-ware information filtering can reduce the amount of processed data to manageable levels. We separate our data mining and data fusion processing into distinct pipelines, each supporting JDL inspired semantic levels of data processing. We conclude by outlining the challenges ahead and our vision for how knowledge-based service architectures can address these challenges.
OGC, SWE, SOA, semantics, data fusion, environmental risk management, crisis management
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6

Middleton, Stuart and Sabeur, Zoheir (2011) Knowledge-based service architecture for multi-risk environmental decision support applications. At ISESS 2011 ISESS 2011, Czech Republic.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes our work to date on knowledge-based service architecture implementations for multi-risk environmental decision-support. The work described spans two research projects, SANY and TRIDEC, and covers application domains where very large, high report frequency real-time information sources must be processed in challenging timescales to support multi-risk decision support in evolving crises. We describe how OGC and W3C standards can be used to support semantic interoperability, and how context-ware information filtering can reduce the amount of processed data to manageable levels. We separate our data mining and data fusion processing into distinct pipelines, each supporting JDL inspired semantic levels of data processing. We conclude by outlining the challenges ahead and our vision for how knowledge-based service architectures can address these challenges.

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More information

Published date: June 2011
Additional Information: Event Dates: June 2011
Venue - Dates: ISESS 2011, Czech Republic, 2011-06-01
Keywords: OGC, SWE, SOA, semantics, data fusion, environmental risk management, crisis management
Organisations: Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 272322
URI: https://eprints.soton.ac.uk/id/eprint/272322
PURE UUID: 145816fc-ecd3-4574-b59f-80a08a246453
ORCID for Stuart Middleton: ORCID iD orcid.org/0000-0001-8305-8176
ORCID for Zoheir Sabeur: ORCID iD orcid.org/0000-0003-4325-4871

Catalogue record

Date deposited: 24 May 2011 13:46
Last modified: 06 Jun 2018 12:51

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Contributors

Author: Stuart Middleton ORCID iD
Author: Zoheir Sabeur ORCID iD

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