Knowledge-Based Service Architecture for Multi-risk Environmental Decision Support Applications
Name of the provider (company name or main contact name), or FIRE IN ID ? Middleton, Stuart E.; Sabeur, Zoheir A.
Scope, rationale, context: general description. Precise here if this technology is currently use (eg. company name or contact info) 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.
If applicable, choose the relevant working group (Ctrl touch to select more than one)
- Search & Rescue Emergency Response
- Structure Fires
- Landscape Fires Crisis Mitigation
- Natural Hazard Mitigation
Please select the relevant item
Short description of the solution. Technical details if relevant. Keywords.
TRL of the proposed solution - Innovation stage (if applicable) Not applicable
Web addresses/URL of flyers and information -
Expected/scheduled future developments