基于加权知识网络分析的企业社区创新用户专家知识发现方法

企业社区中的用户专家对企业产品创新和改进具有重要作用,了解用户专家个人知识对于企业更好地利用用户创新具有重要意义.本文提出一种基于加权知识网络分析的企业虚拟社区用户专家个人创新知识发现方法,以用户社区帖子为对象进行Web文本挖掘,以加权知识网络模型(WKN)对挖掘的碎片知识进行整合和建模,进而综合利用WKN模型中的点、边、权重,以及社会网络分析方法,识别出基于派系的基本型创新知识模式、基于非派系的成长型创新知识模式以及核心创新知识模式.从模型及实例可看出,该方法识别出的知识模式,包含了知识点之间的关系结构,因而比零散的知识点更系统、深入,更易理解和应用.

Knowledge discovery methods on user-experts in enterprise virtual communities based on weighted knowledge network

Considering the importance of user-experts knowledge to the product and service innovation, this paper proposes a discovering and analyzing method to study the knowledge of user-experts in enterprises virtual communities based on weighted knowledge network (WKN). First, the knowledge of user-experts, presented as forum posts in virtual communities, was acquired through the method of web content mining, and then the acquired knowledge was processed and integrated into a weighted knowledge network model (WKN). Next, based on the WKN model, the basic knowledge mode, the developing knowledge mode and the core knowledge mode of user-experts were identified by analyzing the weights of nodes and edges, the cliques and components in WKN model. The knowledge modes identified from the methods reveal the structure of knowledge relations. Compared with scattered knowledge points, knowledge modes are better understood and more thoroughly and systematically to study user knowledge in enterprise virtual communities.