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Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach

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Advances in Artificial Intelligence (CAEPIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9422))

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Abstract

In this paper we present a data-to-text service which automatically produces textual forecasts about the air quality state for every municipality in Galicia (NW Spain) for the Galician Meteorology Agency (MeteoGalicia). We discuss the context and the details about the conception of the service, as well as a technical and formal description of the solution adopted. This approach complements and is integrated into GALiWeather, a public service which currently issues in Meteogalicia’s web page daily textual short-term weather forecasts including information about the sky state, precipitation, wind and temperatures.

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References

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Acknowledgements

This work was supported by the Spanish Ministry for Economy and Competitiveness (grants TIN2011-29827-C02-02 and TIN2014-56633-C3-1-R) and by the European Regional Development Fund (ERDF/FEDER) and the Galician Ministry of Education (grants EM2014/012 and CN2012/151). A. Ramos-Soto is supported by the Spanish Ministry for Economy and Competitiveness (FPI Fellowship Program) under grant BES-2012-051878.

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Correspondence to A. Ramos-Soto .

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Ramos-Soto, A. et al. (2015). Automatic Generation of Air Quality Index Textual Forecasts Using a Data-To-Text Approach. In: Puerta, J., et al. Advances in Artificial Intelligence. CAEPIA 2015. Lecture Notes in Computer Science(), vol 9422. Springer, Cham. https://doi.org/10.1007/978-3-319-24598-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-24598-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24597-3

  • Online ISBN: 978-3-319-24598-0

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