Harmonizing Data collection in an Ontology for a Risk Management Platform
Abstract
In every disaster time is the enemy and getting accurate and helpful real time information for supporting descision support is critical. Data sources for Risk Management Platforms are heterogeneous. This includes data coming from several resources: sensors, social media, the general public and first responders. All this data needs to be analyzed, aggregated and fused and the semantics of the data needs to be understood. This paper discusses means for integrating and harmonizing data into an ICT platform for risk management and gives examples for semantic analysis.
