A fuzzy-based recommender approach for learning objects management systems

Author

Romero, Francisco P. ; Ferreira-Satler, Mateus ; Olivas, Jose A. ; Prieto-Mendez, Manuel E. ; Menendez-Dominguez, Victor H.

Author_Institution

Dept. of Inf. Syst. & Technol., Univ. of Castilla-La Mancha, Ciudad Real, Spain

fYear

2011

fDate

22-24 Nov. 2011

Firstpage

984

Lastpage

989

Abstract

This paper shows how some fuzzy logic tecniques applied to a recommender engine can be used in a Learning Object Repository. A Fuzzy Linguistic model based on three dimensions: structural, contextual, personal is proposed. The contextual and personal dimensions are modelled using domain ontologies and a automatically built fuzzy ontology, respectively. The experiment results indicate that the presented approach is useful and warrants further research in recommending and retrieval information.

Keywords

computer aided instruction; fuzzy logic; information retrieval; ontologies (artificial intelligence); recommender systems; domain ontologies; fuzzy based recommender approach; fuzzy linguistic model; fuzzy logic tecniques; fuzzy ontology; learning object repository; learning objects management systems; recommender engine; recommending information; retrieval information; Context; Context modeling; Electronic learning; Ontologies; Pragmatics; Proposals; Recommender systems; Fuzzy Logic; Fuzzy Ontology; Learning Object; Recommender Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on

Conference_Location

Cordoba

ISSN

2164-7143

Print_ISBN

978-1-4577-1676-8

Type

conf

DOI

10.1109/ISDA.2011.6121786

Filename

6121786