IEEE Access (Jan 2022)

Knowledge Graphs in Education and Employability: A Survey on Applications and Techniques

  • Yousra Fettach,
  • Mounir Ghogho,
  • Boualem Benatallah

DOI
https://doi.org/10.1109/ACCESS.2022.3194063
Journal volume & issue
Vol. 10
pp. 80174 – 80183

Abstract

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Studies on the relationship between education and employability are of paramount importance for policy makers, training institutions, companies and students. The availability of large scale data on the Internet, such as online job ads, has been leveraged to better investigate this relationship. Recent studies have shown that representing this data using knowledge graphs can be useful in identifying the job market needs and establishing better assessment methods. Such studies also highlight the skill mismatch between education and the job market and help mitigate it. In this paper, we provide a comprehensive review of the applications of knowledge graphs in education and employability. We review knowledge graph based frameworks that have been proposed in previous work on different aspects of education and employability. The survey introduces new taxonomies for these applications and their methodologies, and provides a thorough outlook on promising research directions. We also present a use case to illustrate how knowledge graphs can be used to investigate the relationship between education and the job market.

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