知识超网络环境中集成优化过程的知识共享服务研究

发布时间：2018-10-20 13:14

【摘要】：为解决知识超网络环境中知识数量极大丰富但知识质量并不稳定可靠所引起的知识组织维护困难和知识共享服务效率与效果不佳问题,引入了知识优化环节,提出了集成优化过程的知识共享服务模式,该模式利用知识优化过程实现知识超网络环境中知识的自优化与自组织,并通过知识共享服务过程与知识优化过程的有机集成为用户提供快速有效的知识共享服务。借助可拓理论与方法,提出并建立了集成优化过程的知识共享服务实现流程,并对该流程中基于知识事物元可拓模型的自分类、自聚类和自识别等知识可拓优化方法以及知识共享服务过程与知识优化过程集成的原理与方式进行了研究。
[Abstract]:In order to solve the problems of difficult maintenance of knowledge organization and poor efficiency and effect of knowledge sharing service caused by the great quantity of knowledge but unstable and reliable knowledge quality in the knowledge supernetwork environment, knowledge optimization is introduced. A knowledge sharing service model for integrated optimization process is proposed. The model uses knowledge optimization process to realize self-optimization and self-organization of knowledge in knowledge supernetwork environment. Through the organic integration of knowledge sharing service process and knowledge optimization process, it provides users with fast and effective knowledge sharing service. With the help of extension theory and method, the realization process of knowledge sharing service in the process of integration optimization is proposed and established, and the self-classification of the process based on the extension model of knowledge object element in the process is also presented. The methods of knowledge extension optimization, such as self-clustering and self-identification, as well as the principles and methods of knowledge sharing service process and knowledge optimization process integration are studied.
【作者单位】：浙江理工大学管理科学与工程系;
【基金】：国家自然科学基金:知识超网络环境中快慢结合的知识可拓优化与共享理论研究(编号:71071144),2011.1-2013.12 浙江省自然科学基金:情境感知的自适应个性化信息服务研究(编号:Y107133),2008.1-2010.12
【分类号】：C931.9

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