Body of Knowledge Model and Linked Data Applied in Development of Higher Education Curriculum

Pablo Alejandro Quezada-Sarmiento*, Liliana Enciso, Lorena Conde, Monica Patricia Mayorga-Diaz, Martha Elizabeth Guaigua-Vizcaino, Wilmar Hernandez, Hironori Washizaki

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


The corpus of knowledge or Bodies of Knowledge (BOK) term was used to describe a set of structures than codify all concept, terms, techniques, and sustainable educational activities that constitute the domain of the exercise of a profession or specific area of knowledge. This is the reason why it is important for both the scientific and the educational communities to carry out research in BOK. In short, BOK proposes new strategies that allow to describe, represent, and combine the above-mentioned set of structures with different computational techniques. One of these techniques is Linked Data, which appeared in the Web Semantic Context. This paper describes the study and implementation of Linked Data Technologies for the publication of data related to the academic offer of a Higher Education Center, using a methodology of publication of Linked Data and supported by the model of description of BOK. From the process described above, a web application was obtained, where the BOK model and principles of the were combined, for the visualization of academic data, as a contribution to curricular development. The next steps are implemented of BOK model with the combination of other semantic web techniques and artificial intelligence principles.

Original languageEnglish
Title of host publicationAdvances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC
EditorsSupriya Kapoor, Kohei Arai
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783030177942
Publication statusPublished - 2020
EventComputer Vision Conference, CVC 2019 - Las Vegas, United States
Duration: 2019 Apr 252019 Apr 26

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceComputer Vision Conference, CVC 2019
Country/TerritoryUnited States
CityLas Vegas


  • Bodies of Knowledge
  • Curriculum
  • Education
  • Linked Data
  • Semantic Web

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)


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