Diseño de un algoritmo de minería de texto para realizar análisis semántico de publicaciones científicas sobre sistemas ciber físicos
Fecha
2020-12Autor(es)
González Morales, Germán DavidJácome Estupiñan, Andrés Esteban
Pardo Cuellar, Leidy Paola
Salas Rodríguez, Daniel Esteban
Director(es)
Beltrán Cortés, Ana MaríaPublicador
Pontificia Universidad Javeriana
Facultad
Facultad de Ingeniería
Programa
Ingeniería Industrial
Título obtenido
Ingeniero (a) Industrial
Tipo
Tesis/Trabajo de grado - Monografía - Pregrado
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Abstract
The Sustainable Development Goals are the blueprint to achieve a better and more sustainable future for all. (Take Action
for the Sustainable Development Goals – United Nations Sustainable Development, n.d.), and knowing their actual state, it
is crucial to be aware of where each country stands and what they must do in order to accomplish the 2030 agenda. Nowadays
fields of science, technology and innovation are key drivers of economic growth and development, making target 9.5
“Increase research and upgrade industrial technologies” important to reduce inequality gaps in the world. In Colombia, the
National Planning Department (DNP) reports the monitoring figures for the SDGs in the country and in the case of target
9.5, it is measure based on the results of bibliometric analysis of scientific publications reported by the Colombian
Observatory of Science and Technology (OCyT). The current investigation aimed to carry out a semantic and bibliometric
analysis of academic publications regarding cyber physical systems in the Scopus database from the period 2017 to 2019,
which purpose is to compare the results between the two analyses. A total of 1075 articles were analyzed with the
bibliometric software Vantage Point and then was compared with an algorithm of text mining that was able to analyze
semantic content executed in Python. The bibliometric results show how in recent years the number of publications has
been growing exponentially specially for countries of the first world such as United States or China where the R&B spending
is bigger unlike third World Countries as Colombia were there are only 8 publications of open access in the last three years.
To complement the study using the text mining algorithm it was able to identify for the three most important topics:
Engineering, Computer Science and Material Science what researchers are most focus on is the subtopics Network Security,
Internet of things, embedded systems and Manufacture. It is important to clarify that SDG 9.5 is always rated with all the
publications made since 2015, however this study was limited for publications of open access about industry 4.0 with a
focus on cyber physical systems (CPS).
Temas
Ingeniería industrial - Tesis y disertaciones académicasAlgoritmos
Gestión del conocimiento
Publicaciones científicas
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