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Article . 2024 . Peer-reviewed
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Article . 2024
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Sistema basado en conocimiento para incentivar el reciclaje

Authors: Jesus David Roso; Torcoroma Velásquez Pérez; Hugo Fernando Castro-Silva;

Sistema basado en conocimiento para incentivar el reciclaje

Abstract

The culture of recycling is a very important issue incurrent times since we live in a world where we have notadopted a conscience to take care of the environment,since it requires people to take a stand on what ishappening in the environment. The use of technologyis shown as an alternative to help the population in thistask, and the implementation of artificial intelligencetechniques bring innovation and greater options forpossible solutions. The main objective of the researchis to develop a knowledge-based system for recyclingclassification, using artificial intelligence techniquessupported by the semantic web. The purpose of thissystem is to generate an impact on the recyclingculture, 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 systematicmapping was carried out to gather information on theuse of technology and artificial intelligence techniquesto encourage recycling culture. Initially, 255 researchpapers were found, but after applying filters andperforming a detailed review, 50 documents relevantto the research were found.

Keywords

Social sciences (General), H1-99, Q1-390, H, Science (General), contaminación, material reciclable., Science, Q, Social Sciences, cultura ambiental, reciclaje, web semántica

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold