An Integrative Framework for Knowledge Extraction in Collaborative Virtual Environments

机译：协同虚拟环境中知识提取的集成框架

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Collaborative virtual environments are becoming an intrinsic part of professional practices. In addition to providing collaboration support, they have the potential to collect vast amounts of data about collaborative activities. The aim of this research is to utilize this data effectively, extract meaningful insights out of it and feeding discovered knowledge back into the environment. The paper presents a framework for integrating knowledge discovery techniques with collaborative virtual environments, starting from early conceptual development. Discovered patterns are deposited in an organizational memory which makes these available within the virtual environment. Two examples of the application of the framework are included.

机译：协作虚拟环境正在成为专业实践的固有部分。除了提供协作支持外，他们还有可能收集有关协作活动的大量数据。这项研究的目的是有效利用这些数据，从中提取有意义的见解，并将发现的知识反馈给环境。本文提供了一个框架，用于从早期概念开发开始，将知识发现技术与协作虚拟环境集成在一起。发现的模式存储在组织内存中，从而使这些模式在虚拟环境中可用。包括框架应用的两个示例。

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《2001 International ACM SIGGROUP Conference on Supporting Group Work, Sep 30-Oct 3, 2001, Boulder, Colorado, USA》|2001年|p.61-70|共10页
会议地点 Boulder CO(US);Boulder CO(US)
作者
Robert P. Biuk-Aghai; Simeon J. Simoff;
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作者单位

University of Macau Faculty of Science and Technology P.O. Box 3001 Macau S.A.R. China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
关键词
knowledge extraction; collaborative virtual environment; virtual collaboration;

机译：知识提取；协作虚拟环境；虚拟协作;

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机译：协同虚拟环境中知识提取的一体化框架

An Integrative Framework for Knowledge Extraction in Collaborative Virtual Environments

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