Using Ontology Engineering Methods to Improve Computer Science and Data Science Skills

International Conferences 2016

URL:  http://www.sciencedirect.com/science/article/pii/S1877050916309310

Authors: Chuprina, Svetlana / Alexandrov, Vassil / Alexandrov, Nia

Research Lines: Curricula Development and Quality Assurance in Higher Education and Professional Training

Teams:  Education and Training

Publication: Procedia Computer Science

Place Published: International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, USA, Elsevier

Volume / Pagination: 80 / 1780–1790

Palabras clave: Bridging Talent Gap, Computer Classification System Ontology, Computer Science Skills, Data Science Ontology, Data Science Skills, Ontology Engineering Methods, Visual Data Exploration Tools