图书情报工作 ›› 2018, Vol. 62 ›› Issue (17): 112-119.DOI: 10.13266/j.issn.0252-3116.2018.17.014

• 知识组织 • 上一篇    下一篇

政府网站信息资源知识融合体系架构设计

张卫东, 左娜, 陆璐   

  1. 吉林大学管理学院 长春 130022
  • 收稿日期:2018-04-02 修回日期:2018-07-09 出版日期:2018-09-05 发布日期:2018-09-05
  • 作者简介:张卫东(ORCID:0000-0001-7512-0814),副教授,博士,博士生导师,E-mail:wdzhang@jlu.edu.cn;左娜(ORCID:0000-0003-2449-7579),硕士研究生;陆璐(ORCID:0000-0001-5126-9892),硕士研究生。
  • 基金资助:
    本文系国家自然科学基金应急管理项目"政府网站信息资源多维语义知识融合研究"(项目编号:71740015)研究成果之一。

Knowledge Fusion System Architecture Design of Government Website Information Resources

Zhang Weidong, Zuo Na, Lu Lu   

  1. School of Management, Jilin University, Changchun 130022
  • Received:2018-04-02 Revised:2018-07-09 Online:2018-09-05 Published:2018-09-05

摘要: [目的/意义] 从知识融合的角度切入,解决政府网站信息资源的分散性、海量性与公众知识需求的完整性、精准化之间的矛盾,为用户提供更为有效的决策支持,提高政府网站信息资源的利用效率。[方法/过程] 阐述政府网站信息资源的内涵及其价值需求,剖析知识融合的研究进展,在此基础上分析政府网站信息资源知识融合的流程,根据流程设计"数据级融合-概念级融合-决策级融合"的多层次的政府网站信息资源知识融合体系架构,并为每个具体层次构建相应的运行框架。[结果/结论] 设计出的政府网站信息资源知识融合体系架构,为后续的扩展性与深入性研究提供理论支持与借鉴。

关键词: 政府网站, 信息资源, 知识融合, 知识地图

Abstract: [Purpose/significance] From the perspective of knowledge fusion, this paper try to solve the contradiction between the scattered and massive information resources on government websites and the integrated and precise knowledge needs of the public, so that can provide decision support for users and improve the utilization efficiency of information resources on government websites. [Method/process] Firstly, this paper explained the connotation and value requirements of government website information resources, and reviewed the research progress of knowledge fusion. Then, it analyzed the knowledge fusion process of government website information resources. Finally, based on the process analysis, it designed a knowledge fusion system architecture of government website information, which involves several levels included "data level fusion-concept level fusion-decision level fusion", and we also built appropriate operational framework for each specific level. [Result/conclusion] The knowledge fusion system architecture of government website information we designed provides theoretical and referential support for scalable and in-depth research subsequently.

Key words: government website, information resource, knowledge fusion, knowledge map

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