基于情报易用性原理的隐性知识显性化研究  

Research on the explicit implicit knowledge based on the principle of intelligence usability

作　　者：杜恩丰 吕嘉奇 Du Enfeng;Lyu Jiaqi(China People’s Police University,Langfang 065000,China)

机构地区：[1]中国人民警察大学,河北廊坊065000

出　　处：《江苏科技信息》2024年第3期49-52,共4页Jiangsu Science and Technology Information

基　　金：2023年度中国人民警察大学校级科研课题重点专项课题,项目名称:中国海外利益保护体系构建研究,项目编号:ZDZX202302。

摘　　要：在情报价值愈来愈凸显的大数据时代背景下,除了可以在需要时成为情报的显性知识,人类还拥有大量有待显性化的隐性知识。对隐性知识显性化的研究,有助于扩大情报学的知识基础,推动情报学在理论和实践层面的进步。文章基于易用性原理的五大指标和穆尔斯定律,以文献调查法和案例分析法为主进行实证研究。对于隐性知识的显性化,可在效果、效率、愉悦度、易学、容错性等5项指标上应用易用性原理,并采取多举措应对穆尔斯定律结果的发生,从而持续实现隐性知识向显性知识的良性转化,并对现实应用(以网络共享知识管理为例)有所启发。In the context of the big data era,where the value of information is increasingly prominent,in addition to being explicit knowledge of information when needed,human beings also have a large amount of implicit knowledge to be explicit.The study of explicit implicit knowledge helps to expand the knowledge foundation of information science and promote its progress in both theoretical and practical aspects.This article is based on the five major indicators of usability principle and Moore’s Law,and conducts empirical research mainly using literature survey and case analysis methods.For the explicit transformation of implicit knowledge,the principle of ease of use can be applied to five indicators,including effectiveness,efficiency,pleasure,ease of learning,and fault tolerance.Multiple measures can be taken to address the occurrence of Moors’Law results,thereby continuously achieving a benign transformation of implicit knowledge into explicit knowledge.

关 键 词：易用性原理 隐性知识 显性知识 

分 类 号：G35[文化科学—情报学]