河北大学学报(自然科学版) ›› 2017, Vol. 37 ›› Issue (1): 101-107.DOI: 10.3969/j.issn.1000-1565.2017.01.015

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基于建模技术构建运用大数据分析优化政务的环境

罗文劼1,袁方2,杨秀丹3   

  • 收稿日期:2016-06-01 出版日期:2017-01-25 发布日期:2017-01-25
  • 作者简介:罗文劼(1969—),女,广东兴宁人,河北大学教授,博士,主要从事电子政务、大数据处理、过程建模和过程改进等方面研究. E-mail:wjluo2015@163.com
  • 基金资助:
    河北省科技计划项目(15450102D);河北省软科学项目(13455317D);河北省委讲师团课题(2016015)

Building platform for optimizing E-government business using big data analysis based on modeling technique

LUO Wenjie1,YUAN Fang2,YANG Xiudan3   

  1. 1.School of Computer Science and Technology, Hebei University, Baoding 071002, China; 2.Department of Computer Teaching, Hebei University, Baoding 071002, China; 3.College of Management, Hebei University, Baoding 071002, China
  • Received:2016-06-01 Online:2017-01-25 Published:2017-01-25

摘要: 提出应用可视化建模技术,通过梳理构建组织模型、资源模型和过程模型,形成政务领域的业务模型,并通过对模型的完整性检查以及业务过程的模拟,确保业务流程描述的正确性,然后分别从业务模型中提取和整合信息资源,获得统一的业务框架,并根据模型对应的组织、资源、行为、协同和产品等方面的效能因素,进行大数据的采集,为优化政府业务提供定量分析,以指导政府业务优化策略的制定.此业务模型的构建也为建立大数据背景下政府信息资源开发利用的评价奠定基础.

关键词: 可视化建模, 政府业务模型, 大数据, 优化

Abstract: The paper discusses the method that applies visualization modeling technique,builds business model including organization model,resource model and process model.According to the connection rules in or among models,the paper also advances the methods to check integrity of models and simulate the business process to ensure the correctness,and to resolve the problem of normalization and accuracy.Then the extraction and integration of information resources from the business model,we obtain a unified framework for business,and according to the factor model corresponding organization,resource,behavior,collaborative and product performance,we perform a large collection of data,and provide a quantitative analysis for the optimization of government business to guide the government business optimization strategy.The construction of this business model also lays the foundation for the development and utilization of government information resources under the background of big data.

Key words: visualization modeling, government business model, big data, optimize

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