Diseño de un algoritmo de minería de texto para realizar análisis semántico de publicaciones científicas sobre sistemas ciber físicos

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...

Full description

Autores:
González Morales, Germán David
Jácome Estupiñan, Andrés Esteban
Pardo Cuellar, Leidy Paola
Salas Rodríguez, Daniel Esteban
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2020
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
spa
OAI Identifier:
oai:repository.javeriana.edu.co:10554/53049
Acceso en línea:
http://hdl.handle.net/10554/53049
Palabra clave:
Ingeniería industrial - Tesis y disertaciones académicas
Algoritmos
Gestión del conocimiento
Publicaciones científicas
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
Description
Summary: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).