知识构建中基于Web2．0综合集成的知识提炼与应用

Knowledge Extraction and Application Based on Web 2.0 Meta-Synthesis in Knowledge Architecture

对于用户解决问题的智能活动,知识提炼与应用是相继而生的两个连续过程,知识构建(KA)也应对两者进行一体化建构,但已有的KA研究一般都将两者分开来进行,这就使知识内容很难与用户群体及其应用环境有机融合起来,势必严重影响KA的质量和效果。为了使知识提炼与应用在KA中得到一体化实现,以知识及其转化过程为对象,采用文献统计分析和比较研究方法,根据知识的生成机理、转化机制和问题解决的过程要求,在概括总结知识提炼与应用的基本原则基础上,通过对Web 2.0与传统知识生成方法的对比,提出Web 2.0与全信息Web(CI-Web)综合集成的知识提炼与应用方法。这种方法既能在宏观上保障KA系统中的知识得到自主、高效和适应性的定性提炼与应用,又能在微观上确保KA系统中每个用户实现对知识进行全义表示、全面关联、完整发现、准确获取、融合集成和共享应用的定量提炼与利用。

For users to solve their problems in the intellectual activities, knowledge extraction and application （KEA） are two continuous processes, and should be integrated to knowledge architecture （KA）. However, the previous KA＇ s study separates them commonly so that it＇ s really hard to make the knowledge content organically combined with community and context, and will severely reduce the quality and effect of KA. In order to integrate knowledge extraction and application in KA, this paper, using knowledge and its conversion process as the research object, based on documen- tary statistical analysis and comparative study, first summarizes the basic principles of KEA according to the mechanism of knowledge generation, conversion and the process demand of problem solving, and then puts forward the approach of KEA based on Web 2.0 and comprehensive Information Web （CI-Web） meta-synthesis via the comparison of Web 2.0 and the traditional knowledge generation method. This approach can not only ensure knowledge in KA system will be independent- ly, efficiently, adaptively and qualitatively extracted and applied in macroscopic view, but also ensure each user in KA system will quantitatively extract and apply knowledge in terms of complete representation, correlation, discovery, acquisi- tion, integration and application in microscopic view. This will certainly create a bright future for the integrated construc- tion and innovative development of KA.