首页> 外文会议>International Conference on Knowledge Management; 20051027-28; North Carolina(US) >SEQUENCING THREE MODELS FOR KNOWLEDGE MAPPING, ARCHITECTURE AND MANAGEMENT
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SEQUENCING THREE MODELS FOR KNOWLEDGE MAPPING, ARCHITECTURE AND MANAGEMENT

机译:排序三种模型以进行知识映射,架构和管理

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This study sequences three knowledge processing models—Info/Geo-metrical Optics (IGO), Information Genetics (IG), and Fuzzy Commonality (FC)—for mapping, constructing and managing a quality knowledge architecture. Each model is respectively illustrated, explained and tested. The interrelationship among these models is analyzed through the elaborations of the focal length, the commonality, union, change of dynamics, and the percentages of focal length and commonality applying citation data: The significant contributions of this sequencing approach are discussed. They meet information organizations' common needs of finding an operation-efficient and cost-effective approach to knowledge management.
机译:这项研究对三个知识处理模型进行了排序-信息/地球光学(IGO),信息遗传学(IG)和模糊共性(FC)-用于映射,构建和管理质量知识体系。每个模型分别进行了说明,解释和测试。通过阐述焦距,共性,并集,动力学变化以及应用引文数据的焦距和共性百分比来分析这些模型之间的相互关系:讨论了这种排序方法的重要贡献。它们满足了信息组织寻找有效操作和成本有效的知识管理方法的共同需求。

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