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2019
Conference Paper
Titel
Semantic Queries Supporting Crisis Management Systems
Abstract
In crisis management, it is crucial to have up-to-date data available to assess an ongoing situation correctly. This information originates from different sources, such as human observations, various sensors or simulation algorithms with heterogeneous geographic scope. The aggregation of such data is conducted by decision support systems to disburden the end-users from automatable tasks. By using semantic technologies for the integration, these systems can benefit from the expressional power of semantic queries. Therefore, all data that is available in the system should also be accessible for these queries. In the following, we present an approach how sensor data can be accessed through semantic queries and how geospatial knowledge can be integrated in a Decision Support System.