2018
DOI: 10.1109/access.2017.2778879
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Ontology-Based Education/Industry Collaboration System

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Cited by 27 publications
(9 citation statements)
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“…This is why meeting the growing need of qualified specialists in BDSE has emerged as a challenge that software engineering must resolve in the near future [3]. This challenge, commonly defined as a big data skills gap, has been discussed by a number of scientific studies and industrial reports [3], [4], [8]- [11], [17], [21], [23]. Considering research based on the analysis of job ads, it is observed that a limited number of specific studies have been carried out to reveal the knowledge and skill requirements for the software engineering industry.…”
Section: A Big Data Software Engineeringmentioning
confidence: 99%
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“…This is why meeting the growing need of qualified specialists in BDSE has emerged as a challenge that software engineering must resolve in the near future [3]. This challenge, commonly defined as a big data skills gap, has been discussed by a number of scientific studies and industrial reports [3], [4], [8]- [11], [17], [21], [23]. Considering research based on the analysis of job ads, it is observed that a limited number of specific studies have been carried out to reveal the knowledge and skill requirements for the software engineering industry.…”
Section: A Big Data Software Engineeringmentioning
confidence: 99%
“…Given this background, BDSAs require a wide range of vocational knowledge, skills, and competencies, unlike traditional software applications [10], [11], [18], [20]. The software industry is a dynamic working environment based entirely on qualified human resources [3], [9], [11], [20], [21]. The quality of BDSE-based products and services is closely related to the competencies of BDSE specialists [3], [8], [22].…”
Section: Introductionmentioning
confidence: 99%
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“…En este sentido se ha desarrollado una metodología para estudiar la efectividad de la utilización de estas aplicaciones interactivas para mejorar la educación en ingeniería de control (Vargas et al, 2020). En esta metodología los datos se organizan jerárquicamente en un modelo basado en competencias (Moon, 2002), (Gasmi and Bouras, 2018), (Vargas et al, 2020), para permitir a los instructores analizar la información en diferentes niveles de abstracción. Mientras que los niveles más altos proporcionan una visión panorámica de los resultados, los análisis detallados ayudan a identificar con precisión los efectos de la innovación.…”
Section: Una Herramienta Interactiva De Diseño De Sistemas De Control Linealesunclassified
“…It can also reason about new or hidden knowledge based on known factual knowledge. Ontologies are widely used in many domains, such as information science [30,31], medical science [32,33], and education [34,8].…”
Section: The Ontology In Sarmentioning
confidence: 99%