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How to localize domain entities: the case of a flooding prediction and risk management system
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Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: Emergency management I (MCEM workshop) table of contents
Pages 62-66  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Author
Daniela Micucci  University of Milano - Bicocca, Viale Sarca, Milan, Italy
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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