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A Semantic Web-Based Recommendation Framework of Educational Resources in E-Learning

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成果类型:
期刊论文
作者:
Linjing Wu*;Qingtang Liu;Wanlei Zhou;Gang Mao;Jingxiu Huang;...
通讯作者:
Linjing Wu
作者机构:
[Linjing Wu; Qingtang Liu; Gang Mao; Jingxiu Huang] School of Educational Information Technology, Central China Normal University, Wuhan, China
[Wanlei Zhou] School of Information Technology, Deakin University, Melbourne, Australia
[Huan Huang] School of Education, South-Central University for Nationalities, Wuhan, China
通讯机构:
[Linjing Wu] S
School of Educational Information Technology, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Semantic web;Resource recommendation;E-learning;Reasoning rules
期刊:
Technology, Knowledge and Learning
ISSN:
2211-1662
年:
2020
卷:
25
期:
4
页码:
811-833
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
摘要:
A big challenge in educational resources construction is the intelligent and personalized resource recommendation for learners. This paper proposes a semantic recommendation framework of educational resources based on semantic web and pedagogics. In this framework, a domain ontology is constructed to describe the knowledge structure of the domain. All the resources and user portfolio are described with ontology technology and resource description framework to support semantic inference. Based on the semantic resource organization, we made a set...

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