- 著者
- Stuart E Middleton Zoheir A Sabeur Peter Löwe Martin Hammitzsch Siamak Tavakoli Stefan Poslad
- 出版者
- CODATA
- 雑誌
- Data Science Journal (ISSN:16831470)
- 巻号頁・発行日
- vol.12, pp.WDS109-WDS113, 2013 (Released:2013-03-05)
- 参考文献数
- 19
- 被引用文献数
- 8
We 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.