
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.
Social sciences (General), H1-99, Q1-390, H, Science (General), contaminación, material reciclable., Science, Q, Social Sciences, cultura ambiental, reciclaje, web semántica
Social sciences (General), H1-99, Q1-390, H, Science (General), contaminación, material reciclable., Science, Q, Social Sciences, cultura ambiental, reciclaje, web semántica
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
