Emergency management systems reason about contextualized information, i.e., domain entities which have a precise position in a space. Often, domain entities lie on different spaces, e.g., river basins on a geographical space and routes on a topological one. Sometimes the same domain entity lies on two or more different spaces, e.g., a rescue squad may be localized both in a geographical and in a competence space. In such a complex scenario, emerges the need of a general model to specify localized domain entities that preserves the separation between 'what' (domain entity) and 'where' (its location in a space) and that encapsulates the intrinsic structure of the space. The paper presents such a model which relies on a unified paradigm for the definition of spaces. The model has been reified in an exemplified scenario dealing with a flooding prediction and risk management system.

Micucci, D. (2009). How to Localize Domain Entities: the Case of a Flooding Prediction and Risk Management System. In Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly (IWCMC) (pp.62-66). Association for Computing Machinery, Inc. (ACM) [10.1145/1582379.1582394].

How to localize domain entities: The case of a flooding prediction and risk management system

MICUCCI, DANIELA
2009

Abstract

Emergency management systems reason about contextualized information, i.e., domain entities which have a precise position in a space. Often, domain entities lie on different spaces, e.g., river basins on a geographical space and routes on a topological one. Sometimes the same domain entity lies on two or more different spaces, e.g., a rescue squad may be localized both in a geographical and in a competence space. In such a complex scenario, emerges the need of a general model to specify localized domain entities that preserves the separation between 'what' (domain entity) and 'where' (its location in a space) and that encapsulates the intrinsic structure of the space. The paper presents such a model which relies on a unified paradigm for the definition of spaces. The model has been reified in an exemplified scenario dealing with a flooding prediction and risk management system.
No
paper
Software Architectures, Domain-specific architectures
English
International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly (IWCMC)
978-1-60558-569-7
Micucci, D. (2009). How to Localize Domain Entities: the Case of a Flooding Prediction and Risk Management System. In Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly (IWCMC) (pp.62-66). Association for Computing Machinery, Inc. (ACM) [10.1145/1582379.1582394].
Micucci, D
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/6369
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