Semantic model for flood management
| Autor: | Ignacio Requena, Stefano Mambretti, Julián Garrido |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Atmospheric Science
Artificial intelligence Knowledge management Knowledge representation and reasoning business.industry Computer science Ontology Ontology-based data integration Process ontology Hazards Vulnerability Ontology (information science) OWL (Web Ontology Language) Geotechnical Engineering and Engineering Geology Semantic data model Floods Inteligencia artificial Risk analysis (engineering) Conceptual framework Knowledge base Knowledge representation business Civil and Structural Engineering Water Science and Technology |
| Popis: | Risk assessment involves the study of vulnerability and hazards. When focused on flood events, such an analysis should evidently include the theoretical and practical study of floods and their behavior. Nevertheless, risk assessment is not useful if the results are not subsequently used for more effective management and planning by local authorities and qualified personnel. The risk evaluation process is composed of a set of actions, each of which requires different inputs. In fact, the results of one action are used as the input for another. This paper describes a semantic model for the study and management of floods with a view to elaborating a conceptual framework and designing a knowledge base. The model is based on the environmental assessment ontology and demonstrates how a brief ontology can be generated. Andalusian Regional Government P07-TIC-02913 P08-RNM-03584 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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