为了推动知识构建(KA)的智能化研究进程,实现KA的创新发展,文章主要以信息、知识、智能及其之间有效转换过程为研究对象,根据复杂适应KA系统构建及知识生态系统结构建立对智能生成机制的要求,通过文献统计分析和比较研究方法,发现国内外的KA智能化研究一般都立足于Web1.0和Web2.0环境下,主要围绕着基于技术支撑的静态KA范式和基于用户体验的相对KA范式展开,很少从Web3.0的视角围绕着基于知识网络的动态KA范式去探究;而且,无论哪种KA范式下的智能化研究都存在着这样或那样的问题,只有从Web3.0综合集成的功能来对社会化媒体进行交互设计和适应性使用.才能规避各自的缺陷、整合各自的优势,使智能生成的核心转化机制在开放的复杂适应KA系统构建中得以贯彻实施,为用户智能激活与调控建立起和谐的知识生态系统结构。
To promote knowledge architecture (KA) and get its innovative development, this paper, taking information, knowledge, intelligence and the effective conversion process among them as the research object. According to the requirement for building complex adaptive KA system and knowledge ecosystem structure to intelligence generating mechanism, based on documentary statistical analysis and comparative analysis research method, the paper discovers that the intelligent research of KA at home and abroad revolves around the static KA paradigm based on technical support and relative KA paradigm based on user experience primarily in Web 1.0 and Web 2.0, rarely revolves around the dynamic KA paradigm based on knowledge network in Web 3.0. No matter what kind of intelligent research in KA paradigms do have problems of this kind or that kind. Only interactive design and a- daptive use of social media from Web 3.0' s mete-synthesis function, to avoid their defects, integrate their respective advantages, so that the kernel mechanism of intelligence generation can be implemented in open complex adaptive KA system construction, and set up a harmonious knowledge ecosystem structure for user to activate and regulate his own intelligence.