不确定条件下知识搜寻的智能策略研究  

Intelligent Strategy of Knowledge Search under Uncertain Condition

作　　者：于海东 田启华[3] 张艳丽 刘芳[1,2] 唐文惠[1,2] Yu Haidong;Tian Qihua;Zhang Yanli;Liu Fang;Tang Wenhui(Institute of Information Science and Technology,China Three Gorges University,Yichang 443002;Library,China Three Gorges University,Yichang 443002;College of Mechanical&Power Engineering,China Three Gorges University,Yichang 443002)

机构地区：[1]三峡大学情报科学技术研究所,宜昌443002 [2]三峡大学图书馆,宜昌443002 [3]三峡大学机械与动力学院,宜昌443002

出　　处：《情报杂志》2018年第11期197-202,163,共7页Journal of Intelligence

基　　金：国家自然科学基金项目"不确定条件下耦合设计内部迭代模型及其求解方法的研究"(编号:51475265);湖北省教育厅人文社会科学研究项目"面向协同创新任务的图书馆联盟知识转移机制研究"(编号:16Y031)的研究成果之一

摘　　要：[目的/意义]科技协同需要通过社会网络来交流知识,引导科学研究产生更大的影响力,因此寻找知识扩散的规律变得越来越重要。社会网络的节点关联度和位势导致节点间虚拟距离的产生,使得客观描述知识搜寻进程成为可能。现有的知识搜寻策略不适合用于处理跨领域、多学科和多个复杂研制生产协作环节的科研协同,因为其忽略了由于知识相关性的动态不确定性所带来的知识位势的动态可变性。[方法/过程]提出了一种改进的智能策略,首次考虑了社会网络节点知识特征判定的非结构化难题,分析不同主体的知识位势发生此消彼长的变化和反馈过程,通过动态优化知识搜寻的进程,解决了知识位势的动态可变性对知识搜寻所带来的干扰。[结果/结论]与以往的静态策略相比,该研究同时考虑社会网络节点的相对虚拟距离和知识特征判定,为不确定条件下知识搜寻的智能规划提供了一种新思路,以利于知识搜寻进程的改善。[Purpose/Significance]Scientific and technological synergy needs knowledge communication through social network,which leads scientific research to produce more influence,so it becomes more and more important to seek the law of knowledge diffusion.The node correlation degree and potential of social network result in virtual distance between nodes,which makes it possible to objectively describe the knowledge search process.Because it ignores the dynamic variability of knowledge potential brought about by the dynamic uncertainty of knowledge correlation,existing methodology for knowledge search should be abandoned in processing cooperation research,which is featured by the interdisciplinary or multidisciplinary scientific and technological synergy and multiple complex productive coordination.[Method/Process]An improved intelligent strategy was put forward,which for the first time considered the unstructured problem of knowledge characteristics judging of social network node,analyzed knowledge potential change accompanied by feedback process,and dynamically optimized knowledge search process.The strategy solves the interference brought by knowledge potential variability.[Result/Conclusion]Compared with the previous static strategy,this study considers the relative virtual distance and the knowledge feature determination of the social network nodes at the same time,and provides a new idea for intelligent planning of knowledge search under uncertain conditions,which is beneficial to the improvement of knowledge search process.

关 键 词：不确定条件 知识搜寻 智能策略 虚拟距离 知识位势 

分 类 号：G250[文化科学—图书馆学]