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


研究成果: Conference contribution

1 被引用数 (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.

ホスト出版物のタイトルAdvances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC
編集者Supriya Kapoor, Kohei Arai
出版社Springer Verlag
出版ステータスPublished - 2020
イベントComputer Vision Conference, CVC 2019 - Las Vegas, United States
継続期間: 2019 4月 252019 4月 26


名前Advances in Intelligent Systems and Computing


ConferenceComputer Vision Conference, CVC 2019
国/地域United States
CityLas Vegas

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータサイエンス一般


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