Knowledge-based system to encourage recycling

Abstract

The culture of recycling is a very important issue in
current times since we live in a world where we have not
adopted a conscience to take care of the environment,
since it requires people to take a stand on what is
happening in the environment. The use of technology
is shown as an alternative to help the population in this
task, and the implementation of artificial intelligence
techniques bring innovation and greater options for
possible solutions. The main objective of the research
is to develop a knowledge-based system for recycling
classification, using artificial intelligence techniques
supported by the semantic web. The purpose of this
system is to generate an impact on the recycling
culture, and to do so, there are specific objectives,
which are based on the stages of the knowledgebased systems methodology proposed by Rolston.
In order to better address the problem, a systematic
mapping was carried out to gather information on the
use of technology and artificial intelligence techniques
to encourage recycling culture. Initially, 255 research
papers were found, but after applying filters and
performing a detailed review, 50 documents relevant
to the research were found.