Generating Adaptive Presentations of Hydrologic Behavior

  • Martin Molina
  • Victor Flores
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)


This paper describes a knowledge-based approach for summarizing and presenting the behavior of hydrologic networks. This approach has been designed for visualizing data from sensors and simulations in the context of emergencies caused by floods. It follows a solution for event summarization that exploits physical properties of the dynamic system to automatically generate summaries of relevant data. The summarized information is presented using different modes such as text, 2D graphics and 3D animations on virtual terrains. The presentation is automatically generated using a hierarchical planner with abstract presentation fragments corresponding to discourse patterns, taking into account the characteristics of the user who receives the information and constraints imposed by the communication devices (mobile phone, computer, fax, etc.). An application following this approach has been developed for a national hydrologic information infrastructure of Spain.


Salience Model Natural Language Generation Hydrological Basin Hydrologic Behavior Discourse Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Martin Molina
    • 1
  • Victor Flores
    • 1
  1. 1.Department of Artificial IntelligenceUniversidad Politécnica de MadridBoadilla del Monte, MadridSpain

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