|
||||||||||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||||||||
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.
INDEX TERMS
Primary Classification:
Additional Classification:
|
||||||||||||||||||||||||||||||||||||||||