DocumentCode
2839742
Title
Semantic P2P-Based Learning Resources Personalized Recommendation System Design
Author
Yang, Qing ; Yuan, Yuan ; Sun, Junli ; Cai, Kaimin
Author_Institution
Dept. of Comput. Sci., HuaZhong Normal Univ., Wuhan, China
fYear
2011
fDate
17-18 July 2011
Firstpage
1
Lastpage
4
Abstract
As the system size expansion, P2P-based E-Learning system where study participants can not effectively found the learning resources, can not reflect the dynamic learning characteristic of the participants, and individualized. Based on the analysis of semantic web and ontology modeling, we proposed learning resources personalized recommendation system based on semantic P2P technology to improve the teaching quality of E-Learning System.
Keywords
computer aided instruction; ontologies (artificial intelligence); peer-to-peer computing; recommender systems; semantic Web; teaching; dynamic learning characteristic; e-learning system; ontology modeling; personalized recommendation system; semantic P2P based learning resources; semantic Web; teaching quality; Computers; Electronic learning; Ontologies; Peer to peer computing; Semantic Web; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-0855-8
Type
conf
DOI
10.1109/PACCS.2011.5990360
Filename
5990360
Link To Document