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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 the problem of intelligent activities, knowledge extraction and application are two successive processes, knowledge building (KA) should also be integrated between the two, but the existing KA research are generally separated from the two , Which makes the content of knowledge difficult to organically integrate with the user community and its application environment, which will seriously affect the quality and effectiveness of KA. In order to achieve the integration of knowledge extraction and application in KA, taking knowledge and its conversion process as object, using literature statistical analysis and comparative research methods, according to the knowledge generation mechanism, transformation mechanism and problem solving process requirements, Based on the basic principles of knowledge extraction and application, this paper proposes a method of knowledge extraction and application of Web 2.0 and CI-Web through the comparison between Web 2.0 and traditional knowledge generation methods. This method not only can insure the knowledge of KA system can be qualitatively refined and applied autonomously, efficiently and adaptively in the macroscopic view, but also can ensure that every user in the KA system can realize the full expression of the knowledge, Complete discovery, accurate acquisition, integration and sharing of quantitative application of quantitative refining and utilization.