Context Ontologies in Ubiquitous Learning Environments

AMANDI, ANALÍA; GONZÁLEZ, GABRIELA; DURÁN, ELENA

San José

Conferencia; 15th Ibero-American Conference on AI; 2016

IBERAMIA

Modeling ubiquitous context in u-learning systems is a challenging task. The model must include support for a variety of context information that differs in nature and granularity level. As such, a representation mechanism that allows an adequate manipulation of this kind of information is needed. Many researchers have proposed using ontologies to embody ubiquitous learning con-text information. In this paper, an overview of such models is presented, fol-lowed by a discussion of their main characteristics regarding the ontology mod-el itself and the support the model provides to the u-learning system.