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

被引：6

作者：

Ramos-Soto, A. ^{[1
]}

Bugarin, A. ^{[1
]}

Barro, S. ^{[1
]}

Gallego, N. ^{[2
]}

Rodriguez, C. ^{[2
]}

Fraga, I. ^{[2
]}

Saunders, A. ^{[2
]}

机构：

[1] Univ Santiago de Compostela, Res Ctr Informat Technol CiTIUS, Santiago De Compostela, Spain

[2] Xunta Galicia, MeteoGalicia, Santiago De Compostela, Spain

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE (CAEPIA 2015) | 2015年 / 9422卷

关键词：

Linguistic descriptions of data; Natural language generation; Data-to-text; Air quality state; WEATHER FORECASTS;

D O I：

10.1007/978-3-319-24598-0_15

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：164 / 174

页数：11

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