SLEek: An Ontology For Smart Learning in the Web of Data

Ruiz Calleja, Adolfo; Bote Lorenzo, Miguel Luis; Vega Gorgojo, Guillermo; Martínez Monés, Alejandra; Asensio Pérez, Juan Ignacio; Gómez Sánchez, Eduardo; Serrano Iglesias, Sergio; Dimitriadis Damoulis, Ioannis

doi:10.1109/ICALT52272.2021.00117

Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/49218

Título

SLEek: An Ontology For Smart Learning in the Web of Data

Otros títulos

ICALT 2021: International Conference on Advanced Learning Technologies

Congreso

International Conference on Advanced Learning Technologies (ICALT) (21º. 2021. Tartu, Estonia)

Año del Documento

2021

Editorial

IEEE

Descripción

Producción Científica

Documento Fuente

Ruiz-Calleja, A., Bote-Lorenzo, M.L., Vega-Gorgojo, G., Martínez-Monés, A., Asensio-Pérez, J.I., Gómez-Sánchez, E., Serrano-Iglesias, S., Dimitriadis, Y. SLEek: An Ontology For Smart Learning in the Web of Data. Proceedings of the 21st IEEE International Conference on Advanced Learning Technologies, ICALT 2021, 365-366

Abstract

This paper presents SLEek, an ontology for the context-aware recommendation of learning activities in Smart Learning Environments (SLEs). SLEek creates an actor-artifact network that is especially suitable for the context-aware recommendation of activities across spaces in formal and informal contexts. SLEek implementation reuses vocabularies from the Web of Data and is currently used in a dataset of 17K learning activities.

Materias (normalizadas)

Aprendizaje inteligente

Palabras Clave

Smart Learning

Semantic Web

DOI

10.1109/ICALT52272.2021.00117

Patrocinador

Junta de Castilla y León (grant VA257P18)
Fondo Europeo de Desarrollo Regional - Agencia Estatal de Investigación (project TIN2017-85179-C3-2-R)

Version del Editor

https://ieeexplore.ieee.org/document/9499755