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Looking at CAREY: Controlling Climatological Regions in State of Emergency


Maribel Acosta, Marlene Goncalves, Maria-Esther Vidal



Veröffentlichung: 2011 November
Art der Veröffentlichung: 10th International Semantic Web Conference (ISWC) Demo Session
BibTeX

Kurzfassung
We present CAREY, an alert system notification for regions in state of emergency. CAREY implements the mediator-wrapper archi- tecture on top of the Geospatial Web to visualize risky regions in terms of their weather conditions. We illustrate the formalization of the problem of detecting risky regions as a two-fold problem that relies on annota- tions of sensor data with the ontology of Observations and Measurements (O&M) to enhance state-of-the-art data mining and ranking techniques. First, sensor observations are clustered according to their Geospatial in- formation then, proximate regions are clustered into micro-climate areas in terms of the similarity of their weather conditions. Finally, Top-k Skyline techniques are used to identify the top-k areas that best meet criteria of risk among the areas that are incomparable with respect to this condition. We demonstrate the capabilities of CAREY.

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