大数据环境下企业知识管理聚合研究

摘要

文章借鉴馆藏资源聚合的研究成果，尝试在大数据环境下对企业知识管理进行聚合研究，提出元数据聚合、本体聚合、引证关系聚合三种聚合模式。同时对聚合结果可视化进行了探讨，并在此基础上架构了企业知识管理聚合系统模型，将聚合过程分为数据层、知识采集层、本体构建层、资源聚合层和应用可视化层等五层。研究表明，知识管理聚合研究能对企业的知识传播和创新提供很好的指导作用，为企业知识管理系统的升级和改造提供借鉴意义。%Based on the research of the aggregation in Library resources, this paper attempts to make research on aggregation of knowledge management in enterprises under the big data environment. Three aggregation models, meta-data aggregation, ontology aggregation and citation relationship aggregation, are put forward in this paper. And the visualization results are discussed. On the basis, the aggregation system model of knowledge management is constructed, which divides the aggregation process into data layer, knowledge collection layer, ontology construction layer, resources aggregation layer and application visualization layer. This research can provide a better guide to knowledge dissemination and innovation and the reference for the upgrading and transformation of knowledge management system in enterprise.