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)


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.


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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  1. 1.
    Castillo-Ortega, R., Marín, N., Sánchez, D.: A fuzzy approach to the linguistic summarization of time series. Multiple-Valued Logic and Soft Computing, 157–182 (2011)Google Scholar
  2. 2.
    van der Heide, A., Triviño, G.: Automatic generated linguistic summaries of energy consumption data. In: Proceedings of 9th ISDA Conference, pp. 553–559 (2009)Google Scholar
  3. 3.
    Kacprzyk, J.: Computing with words is an implementable paradigm: Fuzzy queries, linguistic data summaries, and natural-language generation. IEEE Trans. Fuzzy Systems, 451–472 (2010)Google Scholar
  4. 4.
    Goldberg, E., Driedger, N., Kittredge, R.I.: Using natural-language processing to produce weather forecasts. IEEE Expert 9, 45–53 (1994)CrossRefGoogle Scholar
  5. 5.
    Reiter, E., Sripada, S., Hunter, J., Davy, I.: Choosing words in computer-generated weather forecasts. Artificial Intelligence 167, 137–169 (2005)CrossRefGoogle Scholar
  6. 6.
    Portet, F., Reiter, E., Gatt, A., Hunter, J., Sripada, S., Freer, Y., Sykes, C.: Automatic generation of textual summaries from neonatal intensive care data. Artif. Intell. 173(7-8), 789–816 (2009)CrossRefGoogle Scholar
  7. 7.
    Kobayashi, I., Okumura, N.: Verbalizing time-series data: With an example of stock price trends. In: Proceedings IFSA/EUSFLAT Conf., pp. 234–239 (2009)Google Scholar
  8. 8.
    Diaz-Hermida, F., Bugarin, A.: Linguistic summarization of data with probabilistic fuzzy quantifiers. In: Actas XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), pp. 255–260 (February 2010)Google Scholar
  9. 9.
    Ramos-Soto, A., Díaz-Hermida, F., Bugarín, A.: Construcción de resúmenes lingüísticos informativos sobre series de datos meteorológicos: informes climáticos de temperatura. In: Actas XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), pp. 644–649 (February 2012)Google Scholar
  10. 10.
    Eciolaza, L., Pereira-Fariña, M., Trivino, G.: Automatic linguistic reporting in driving simulation environments. Applied Soft Computing (2012)Google Scholar
  11. 11.
    Ramos-Soto, A., Díaz-Hermida, F., Barro, S., Bugarín, A.: Validation of a linguistic summarization approach for time series meteorological data. In: 5th ERCIM International Conference, 133 (December 2012)Google Scholar
  12. 12.
    MeteoGalicia: Meteogalicia’s website,

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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