Author
Listed:
- Claire Prudhomme,
(University of Applied Sciences, Mainz)
- Ana Roxin
(Le2i - Laboratoire Electronique, Informatique et Image [UMR6306] - UB - Université de Bourgogne - ENSAM - École Nationale Supérieure d'Arts et Métiers - Arts et Métiers Sciences et Technologies - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - CNRS - Centre National de la Recherche Scientifique)
- Christophe Cruz
(Le2i - Laboratoire Electronique, Informatique et Image [UMR6306] - UB - Université de Bourgogne - ENSAM - École Nationale Supérieure d'Arts et Métiers - Arts et Métiers Sciences et Technologies - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - CNRS - Centre National de la Recherche Scientifique)
- Frank Boochs
(University of Applied Sciences, Mainz)
Abstract
With the climate change, disasters occur more frequently and the need for efficient disaster management systems becomes highly recommended to save lives. This paper deals with a study of existing systems, with the intention of determining the main recent improvement in the domain. The heterogeneous data integration process is a major central point. Thus, a semantic system with three main components is proposed as a new position in the disaster management systems. These three components are a knowledge base, a reasoner and a semantic catalogue. The knowledge base provides a controlled vocabulary and allows storing information retrieval. The semantic catalogue facilitates the access to data sources adapted to user's and agent's needs. The reasoner analyzes the information in the knowledge base thus replying to the user queries. In addition, the reasoner aims at adding automatically new data sources in the semantic catalogue. The fast access to a great number of data sources is of benefit for decision-making systems such as disaster management systems.
Suggested Citation
Claire Prudhomme, & Ana Roxin & Christophe Cruz & Frank Boochs, 2016.
"Semantic Catalogue to Manage Data Sources in Disaster Management System,"
Post-Print
hal-01438584, HAL.
Handle:
RePEc:hal:journl:hal-01438584
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