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Advances in Artificial Intelligence
Volume 2017 (2017), Article ID 9462457, 11 pages
Research Article

Natural Language Processing and Fuzzy Tools for Business Processes in a Geolocation Context

1CHArt Laboratory EA 4004, Paris 8 University, Saint-Denis, France
2Deveryware, Paris, France

Correspondence should be addressed to Isis Truck

Received 11 December 2016; Accepted 23 March 2017; Published 24 May 2017

Academic Editor: António Dourado Pereira Correia

Copyright © 2017 Isis Truck and Mohammed-Amine Abchir. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the geolocation field where high-level programs and low-level devices coexist, it is often difficult to find a friendly user interface to configure all the parameters. The challenge addressed in this paper is to propose intuitive and simple, thus natural language interfaces to interact with low-level devices. Such interfaces contain natural language processing (NLP) and fuzzy representations of words that facilitate the elicitation of business-level objectives in our context. A complete methodology is proposed, from the lexicon construction to a dialogue software agent including a fuzzy linguistic representation, based on synonymy.