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Toward automatic generation of linguistic advice for saving energy at home

Authors
  • Conde-Clemente, Patricia1
  • Alonso, Jose M.2
  • Trivino, Gracian3
  • 1 Universidad of Oviedo, Departamento de Informática, Edif. Dept. 1, Campus de Viesques s/n., Gijón, Asturias, 33204, Spain , Gijón (Spain)
  • 2 Universidade de Santiago de Compostela, Centro Singular de Investigacion en Tecnoloxias da Informacion (CiTIUS), Campus Vida, Santiago de Compostela, Galicia, 15782, Spain , Santiago de Compostela (Spain)
  • 3 Phedes Lab, Gijón, Asturias, Spain , Gijón (Spain)
Type
Published Article
Journal
Soft Computing
Publisher
Springer-Verlag
Publication Date
Nov 14, 2016
Volume
22
Issue
2
Pages
345–359
Identifiers
DOI: 10.1007/s00500-016-2430-5
Source
Springer Nature
Keywords
License
Yellow

Abstract

The increased demand of systems able to generate reports in natural language from numerical data involves the search for new solutions. This paper presents an adaptation of standard natural language generation methodologies to generate customized linguistic descriptions of data. Namely, we merge one of the most well-known architectures in the natural language generation research field together with our previous architecture for generating linguistic descriptions of complex phenomena. The latter is supported by the computational theory of perceptions which comes from the fuzzy sets and systems research field. We include a practical case of use dealing with the problem of inefficient consumption of energy at households. It generates natural language recommendations adapted to each household to promote a more responsible consumption. The proposal reveals opportunities of collaboration between the different research communities that are involved.

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