面向EI过程的协同知识管理系统动态资本化与可视化策略
Dynamic Capitalization and Visualization Strategy in Collaborative Knowledge Management System for EI Process
摘要：
知识是人的，人解决问题的行为是主观的、复杂的。在今天的知识经济中，管理由一群行为者产生的知识的必要性怎么强调也不过分。这是因为行为者拥有某种程度的隐性知识，而这种知识一般难以表达。解决问题需要在特定背景下的一组行为者之间寻找和分享知识。在问题解决方案的上下文中表达的知识必须被资本化以供将来重用。本文提出了一种基于经济情报过程的决策问题求解方法，该方法允许动态地利用相关的、可靠的参与者知识。知识标注方法和时态属性用于处理参与者之间通信的复杂性和表达知识的上下文化。一个原型是建立在这种方法的基础上，以展示一个协同知识管理系统的功能。通过实例测试，结果表明动态资本化导致知识验证，从而提高了捕获的知识重用的可靠性。该系统可以适用于各种领域
英文摘要：
Knowledge is attributed to human whose problem-solving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a community of actors cannot be overemphasized. This is due to the fact that actors possess some level of tacit knowledge which is generally difficult to articulate. Problem-solving requires searching and sharing of knowledge among a group of actors in a particular context. Knowledge expressed within the context of a problem resolution must be capitalized for future reuse. In this paper, an approach that permits dynamic capitalization of relevant and reliable actors' knowledge in solving decision problem following Economic Intelligence process is proposed. Knowledge annotation method and temporal attributes are used for handling the complexity in the communication among actors and in contextualizing expressed knowledge. A prototype is built to demonstrate the functionalities of a collaborative Knowledge Management system based on this approach. It is tested with sample cases and the result showed that dynamic capitalization leads to knowledge validation hence increasing reliability of captured knowledge for reuse. The system can be adapted to various domains
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
