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Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

  • A. Ramos-Soto
  • A. Bugarin
  • S. Barro
  • J. Taboada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)

Abstract

In this paper we present a computational method which obtains textual short-term weather forecasts for every municipality in Galicia (NW Spain), using the real data provided by the Galician Meteorology Agency (MeteoGalicia). This approach is based on Soft-Computing based methods and strategies for linguistic description of data and for Natural Language Generation. The obtained results have been thoroughly validated by expert meteorologists, which ensures that in the near future it can be improved and released as a real service offering custom forecasts for a wide public.

Keywords

Weather Forecast Forecast Data Linguistic Label Natural Language Generation Linguistic Description 
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 2013

Authors and Affiliations

  • A. Ramos-Soto
    • 1
  • A. Bugarin
    • 1
  • S. Barro
    • 1
  • J. Taboada
    • 2
  1. 1.Centro Singular de Investigacion en Tecnoloxias da Informacion (CITIUS)University of Santiago de CompostelaSpain
  2. 2.MeteoGaliciaSpain

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