UM
Residential Collegefalse
Status已發表Published
Efficient peer-to-peer content sharing for learning in virtual worlds
Shen,Bingqing; Guo,Jingzhi
2019
Source PublicationJournal of Universal Computer Science
ISSN0948-695X
Volume25Issue:5Pages:465-488
Abstract

Virtual world technologies provide new and immersive space for learning, training, and education. They are enabled by the content creation and content sharing function for allowing users to create and interoperate various learning objects. Unfortunately, virtual world content sharing based on persistent virtual world content storage, to the best of our knowledge, does not exist. In this paper, we address this problem by proposing a content sharing scheme based on Virtual Net, a virtual world persistency framework. For efficient content retrieval, three strategies have been proposed to reduce communication overhead and content load delay. By integrating these strategies, a virtual world content search and retrieval algorithm has been devised. The experiment results verify the effectiveness of the algorithm.

KeywordContent Retrieval Content Sharing E-learning Peer-to-peer Virtual World
URLView the original
Language英語English
WOS IDWOS:000471830100003
Scopus ID2-s2.0-85070608009
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
AffiliationUniversity of Macau,Macau,China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Shen,Bingqing,Guo,Jingzhi. Efficient peer-to-peer content sharing for learning in virtual worlds[J]. Journal of Universal Computer Science, 2019, 25(5), 465-488.
APA Shen,Bingqing., & Guo,Jingzhi (2019). Efficient peer-to-peer content sharing for learning in virtual worlds. Journal of Universal Computer Science, 25(5), 465-488.
MLA Shen,Bingqing,et al."Efficient peer-to-peer content sharing for learning in virtual worlds".Journal of Universal Computer Science 25.5(2019):465-488.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shen,Bingqing]'s Articles
[Guo,Jingzhi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shen,Bingqing]'s Articles
[Guo,Jingzhi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shen,Bingqing]'s Articles
[Guo,Jingzhi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.