Visual navigation of distributed knowledge structures in groupware-based organizational memories
Visual navigation of distributed knowledge structures in groupware-based organizational memories
复制标题
基于群件的组织记忆中分布式知识结构的可视化导航
DOI：
10.1109/iv.2002.1028799
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Ingo Erdmann
中科院分区：
文献类型：
--
作者：
Stefan Smolnik;Ingo Erdmann
当今的许多组织已经在其IT基础设施中实现了群件系统的强大集成。这些群件系统的共享数据库形成了组织记忆，这些记忆包括组织存在时收集的关于该组织的完整知识。一个关键问题是如何在不断增长和分布的组织记忆中找到相关知识。群件系统中的基本功能和机制不足以支持用户查找所需的知识。主题地图为链接网络的语义结构提供了强大的范例和概念，因此，它们是组织和导航大量且不断增长的组织记忆的相当好的解决方案。K-Discovery项目建议将主题地图应用于基于群件的组织记忆，以创建知识结构并解决上述挑战。利用所创建的知识结构的可视导航能力基于双曲线几何概念，并为用户提供对所需知识的直观访问机制。
Many of today's organizations already have a strong integration of groupware systems in their IT-infrastructure. The shared databases of these groupware systems form organizational memories, which comprise the complete knowledge of an organization collected over the time of its existence. One key problem is how to find relevant knowledge in continuously growing and distributed organizational memories. The basic functionalities and mechanisms in groupware systems are not sufficient to support users in finding required knowledge. Topic maps provide strong paradigms and concepts for the semantic structuring of link networks and therefore, they are a considerable solution for organizing and navigating large and continuously growing organizational memories. The K-Discovery project suggests applying topic maps to groupware-based organizational memories to create knowledge structures and address the mentioned challenges. Visual navigation capabilities to exploit the created knowledge structures are based on hyperbolic geometry concepts and provide users with intuitive access mechanisms to the required knowledge.
DOI：
10.1016/s0048-7333(97)80234-x
发表时间：
1995
期刊：
--
影响因子：
--
作者：
通讯作者：
--
（在新闻）。
DOI：
--
发表时间：
--
期刊：
影响因子：
--
作者：
通讯作者：
--