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

We present in this paper an application that automatically generates textual short-term weather forecasts for every municipality in Galicia (NW Spain), using the real data provided by the Galician Meteorology Agency (MeteoGalicia). This solution combines in an innovative way computing with perceptio...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2015-02, Vol.23 (1), p.44-57
Main Authors: Ramos-Soto, Alejandro, Bugarin, Alberto Jose, Barro, Senen, Taboada, Juan
Format: Article
Language:English
Subjects:
Clouds
Natural languages
Pragmatics
Wind forecasting
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Summary:We present in this paper an application that automatically generates textual short-term weather forecasts for every municipality in Galicia (NW Spain), using the real data provided by the Galician Meteorology Agency (MeteoGalicia). This solution combines in an innovative way computing with perceptions techniques and strategies for linguistic description of data, together with a natural language generation (NLG) system. The application, which is named GALiWeather, extracts relevant information from weather forecast input data and encodes it into intermediate descriptions using linguistic variables and temporal references. These descriptions are later translated into natural language texts by the NLG system. The obtained forecast results have been thoroughly validated by an expert meteorologist from MeteoGalicia using a quality assessment methodology, which covers two key dimensions of a text: the accuracy of its content and the correctness of its form. Following this validation, GALiWeather will be released as a real service, offering custom forecasts for a wide public.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2014.2328011