摘要
基于Hadoop的知识管理系统可以增强企业海量知识存储与处理的能力,实现面向管理决策的知识发现.通过研究Hadoop平台及其特点,分析了基于Hadoop的知识管理系统的优势,构建了基于Hadoop的企业知识管理框架模型,并设计了基于Hadoop的知识管理系统的逻辑架构,最后利用基于MapReduce的协同过滤算法对知识推荐模块进行了详细设计.应用Hadoop等大数据技术及推荐系统技术构建知识管理系统既能实现知识管理的个性化和智能化,又能满足企业知识管理系统的扩展性和经济性的需求.
Hadoop-based knowledge management systems can enhance corporate ability to store and process massive knowledge and realize knowledge discovery oriented to management decisions. Through studies on Hadoop platform and its characteristics, the advantages of Hadoop-based knowledge management systems were analyzed, a Hadoop-based corporate knowledge management framework model was built, and a logical framework was designed for Hadoop-based knowledge management systems. Eventually, detailed design was done on the knowledge recommendation module by applying Map Reduce-based collaborative filtering algorithm. With knowledge management systems being built based on Hadoop and other big data technologies and recommendation system technologies, knowledge management can be personalized and intelligentized, and the scalability and economic demands of corporate knowledge management systems can be met as well.
作者
李锋
贾茂想
涂如男
LI Feng;JIA Mao-Xiang;TU Ru-Nan(School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China)
出处
《计算机系统应用》
2018年第8期63-69,共7页
Computer Systems & Applications
基金
国家社科基金青年项目(13CGL069)
教育部人文社科研究青年基金(13YJC880098)
国家自然科学基金面上项目(7177116
71471091
71271119)~~
