Collaborative Technologies / Resilient Systems / JMS / RapidEye AG / Twitter / YouTube / GITEWS Seismology Group / Cox / Tsunami Early Warning Systems / Intergovernmental Coordination Group / Red Hat Inc. / ESB / /
Country
Chile / Portugal / United Kingdom / Germany / / /
Event
Natural Disaster / /
Facility
Queen Mary University of London / University of Southampton / /
IndustryTerm
software engineering / multi-media / middleware solutions / sub-systems / data processing servers / heterogeneous access networks / satellite constellation / web portal / recent Web / seismic sensor network / sensor measurement systems / Satellite systems / sensor networks / event processing / communication infrastructure / data processing / Web Consortium / catalogue services / In-situ sensor networks / steerable processing server / Web Ontology Language / metadata driven pre-processing / measurement device / real-time steerable processing servers / environment information services / we can agilely steer processing server / simulation systems / Web Enablement / pre-processing / /
NaturalFeature
Indian Ocean / /
Organization
Intergovernmental Oceanographic Commission / National Tsunami Warning Centre / OGC SOS / Hammitzsch2 Siamak Tavakoli3 / and Stefan Poslad3 *1IT Innovation Centre / GFZ German Research Centre for Geosciences / European Commission / University of Southampton / United Nations Educational / Scientific and Cultural Organization / University of London / /
Person
Nat / Stuart E. Middleton / /
Position
broker / /
Product
Virtual sensors / Virtual / /
ProgrammingLanguage
XML / /
Region
Indian Ocean / Mediterranean / /
Technology
SOA / XML / remote sensing / MOM technology / plug and play / mobile devices / HTTP / RDF / simulation / /
MULTI-DISCIPLINARY APPROACHES TO INTELLIGENTLY SHARING LARGE-VOLUMES OF REAL-TIME SENSOR DATA DURING NATURAL DISASTERS Stuart E. Middleton*1, Zoheir A. Sabeur1, Peter Löwe2, Martin Hammitzsch2 Siamak Tavakoli3, and Stef