There are several problems in big data of government, such as the 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. Abstract 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.%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.
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