基于知识融合的电子政务知识服务模式及系统模型  

Study on E-government Knowledge Service Pattern and Systems Model Based on Knowledge Fusion

作　　者：胡海波 高鹏[2] HU Haibo;GAO Peng(Medical Business School of Guangdong Pharmaceutical University,Guangzhou 510006,China;Economic&Trade School of Qingdao University of Technology,Qingdao 266520,China)

机构地区：[1]广东药科大学医药商学院,广州510006 [2]青岛理工大学经贸学院,青岛266520

出　　处：《情报工程》2018年第1期31-41,共11页Technology Intelligence Engineering

基　　金：教育部人文社会科学研究规划基金项目(17YJA870007);广东省软科学研究计划面上项目(2016A070705067);广东省哲学社会科学"十三五"规划一般项目(GD16CTS01);山东省高等学校人文社会科学研究项目(A2016-238)

摘　　要：针对当前政府大数据存在多源化、异构化、碎片化及价值密度低等问题,给电子政务知识服务带来巨大挑战。知识融合能解决多源、异构的知识优化重组问题,提高电子政务知识服务质量。首先,对知识融合及其相关研究进展进行了理论回顾,探讨了大数据环境下电子政务知识服务的内涵、基本特征,分析电子政务知识服务对知识融合的现实需求;其次,提出了基于知识融合的电子政务知识服务模式,构建了基于知识融合的电子政务知识服务系统模型,并对系统模型进行分析;最后,总结了研究局限与展望。There are several problems in big data of government,such as t he massive,heterogeneous,fragmentation and low value density,which bring big challenge to the e-government knowledge services.The knowledge fusion can solve knowledge reorganization problem such as massive,heterogeneous.Firstly,the paper reviewed the theory of knowledge fusion and its related research.Then,this sudy discussed on the connotation and basic characteristics of e-government knowledge services under big data environment and analyzed the demand of e-government knowledge services to knowledge fusion.Moreover,we proposed the e-government knowledge services pattern based on the knowledge fusion and established the e-government knowledge service systems model.In addition,this study also illustrated the systems model and summarized the limitations and prospects of research in the future.

关 键 词：大数据 知识服务 数据仓库 知识融合 融合算法 

分 类 号：G302[文化科学] G250