摘要
【目的/意义】构建基于知识图谱的企业知识服务模型能够完善企业知识服务和创新发展服务体系,推进企业创新发展。【方法/过程】结合企业的相关知识服务需求,分析了企业知识服务相关要素,在此基础上基于知识抽取技术、知识推理技术、机器学习技术等,构建了知识图谱的企业知识服务模型。模型分为数据采集层、数据处理层、知识融合层、知识发现层以及知识应用层等5个层次。【结果/结论】企业知识服务平台中融入了知识图谱,将知识管理组织形态可视化,使得企业知识服务平台具有较强的知识关联性,企业业务解决方法更加智能化、个性化。推动企业知识服务模型理论的深入性和普适性发展,为提升企业知识服务水平提供实践参考。
【Purpose/significance】Building knowledge service model based on knowledge map can improve enterprise knowledge service and innovation development service system,and promote enterprise innovation and development.【Method/process】Combining with the relevant knowledge service needs of enterprises,this paper analyses the related elements of enterprise knowledge service,constructs the enterprise knowledge service model based on knowledge map by using knowledge extract technology,Knowledge reasoning technology and machine learning technology.The model contains five levels including data collection level,data processing level,knowledge merge level,knowledge finding level and knowledge application level.【Result/conclusion】Promote the development of the theory of enterprise knowledge service model in depth and universality,and provide practical reference for improving the level of enterprise knowledge service.
作者
张肃
许慧
ZHANG Su;XU Hui(Research Center for Scientific and Technological Innovation and Regional Development,Changchun University of Science and Technology,Changchun 130022,China;School of Economic and Management,Changchun University of Science and Technology,Changchun 130022,China)
出处
《情报科学》
CSSCI
北大核心
2020年第8期68-73,共6页
Information Science
基金
教育部人文社会科学面上项目“人工智能时代中国文化产业效率变革的演化机理与时空分异研究”(20YJA790091)。
关键词
企业
知识图谱
知识服务
模型构建
enterprise
knowledge map
knowledge service
model construction
