基于上下文内容的知识管理系统分类

M. Jennex
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引用次数: 3

摘要

本文讨论了使用用户和知识管理系统捕获的上下文数量作为分类系统的基础。本文讨论了以前的分类方案,并得出结论,它们没有帮助,因为组织中的知识管理在持续的基础上包含所有的分类标准。最后得出结论,基于存储在用户头脑中或作为知识库一部分的捕获知识的上下文对系统进行分类是适当的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classifying Knowledge Management Systems Based on Context Content
This paper discusses using users and the amount of context captured by a Knowledge Management System as the basis for classifying systems. The paper discusses previous classification schemes and concludes they aren’t helpful as Knowledge Management in an organization encompasses all the classification criteria in an ongoing basis. Ultimately, it is concluded that classifying the system based on the context for the captured knowledge being stored in the users’ heads or as part of the knowledge base is the appropriate method.
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