Ontology and Rule-Based Recommender System for E-learning Applications

International Journal of Emerging Technologies in Learning (iJET)

Mohamed Bahaj¹  Bouchra Bouihi¹ 

[1]University Hassan 1st Faculty of Sciences & Technology Settat Morocco.

关键词: Semantic web;    Recommendation System;    Ontology;    E-learning;    SWRL;   

DOI  :  10.3991/ijet.v14i15.10566

来源: DOAJ

【 摘 要 】

The continuous growth of the internet has given rise to an overwhelming mass of learning materials. Which has increased the demand for a recommendation system to filter information and to deliver the learning materials that fit learners learning context. In this paper, we propose an architecture of a semantic web based recommender system. The proposed architecture is a redesigned architecture of the classical 3-tiers web application architecture with an additional semantic layer. This layer holds two semantic subsystems: an Ontology-based subsystem and SWRL (Semantic Web Rule Language) rules one. The Ontology subsystem is used as a reusable and sharable domain knowledge to model the learning content and context. The SWRL rules are used as a recommendation and filtering technique based on learning object relevance and weighting. These rules are organized into four categories: Learning History Rules (LHR), Learning Performance Rules (LPR), Learning Social Network Rules (LSNR) and Learning Pathway Rules (PR).

【 授权许可】

Unknown