By Topic

Algorithm for Efficiently Organizing and Searching Learning Objects in 3D Virtual Environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
ASM Mahfujur Rahman ; Multimedia Communications Research Laboratory (MCRLab), School of Information Technology and Engineering (SITE), University of Ottawa, Canada. ; Abdulmotaleb El Saddik

Reusable learning objects (RLO) are used in different contexts and are accompanied by their associated metadata for searching, managing, etc. This paper presents an application framework for metadata sharing, searching and visualizing techniques in a peer-to-peer network. The framework considers the semantic meaning of the query and applies context based peer address mapping to search metadata. We have also presented an algorithm for grouping metadata. By using a car metaphor, the grouped information is visualized in a 3D virtual environment for intuitive navigation and browsing that intends to show the context and relationship among the displayed results

Published in:

2006 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems

Date of Conference:

10-12 July 2006