Title :
Modeling and Integration of Severe Weather Advisories for Situational Awareness
Author :
Iannella, Renato
Author_Institution :
Nat. ICT Australia, Brisbane, Qld.
Abstract :
Situational awareness systems rely on the integration of data and information from various sources. One key source is severe weather advisories. This paper discusses the information modeling of severe weather advisories from a number of countries to establish a common semantic framework. The goal is to enable effective integration of such critical information to lead to improved decision support for emergency and disaster stakeholders
Keywords :
decision support systems; disasters; emergency services; ontologies (artificial intelligence); weather forecasting; data integration; decision support; emergency-disaster stakeholder; information fusion; information integration; information modeling; ontology; semantic framework; severe weather advisories; situational awareness system; Australia; Fires; Hazards; Humidity; Information analysis; Ontologies; Risk analysis; Transport protocols; Web services; Wind; architectures; information fusion; information modeling; ontologies; severe weather advisories; situational awareness; standards;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301650
