三维虚拟环境中学习对象的高效组织与搜索算法

2006 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems Pub Date : 2006-07-10 DOI:10.1109/VECIMS.2006.250804

A. S. M. M. Rahman, Abdulmotaleb El Saddik

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引用次数: 1

摘要

可重用学习对象(RLO)在不同的上下文中使用，并伴随着用于搜索、管理等的相关元数据。本文提出了一个点对点网络中元数据共享、搜索和可视化技术的应用框架。该框架考虑查询的语义含义，并将基于上下文的对等地址映射应用于搜索元数据。我们还提出了一种分组元数据的算法。通过使用汽车隐喻，将分组信息可视化到3D虚拟环境中，便于直观的导航和浏览，旨在显示显示结果之间的上下文和关系

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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

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