图书情报工作 ›› 2019, Vol. 63 ›› Issue (16): 143-150.DOI: 10.13266/j.issn.0252-3116.2019.16.015

• 综述述评 • 上一篇    

近年来知识融合研究进展与趋势

朱祥, 张云秋   

  1. 吉林大学公共卫生学院医学信息学系 长春 130021
  • 收稿日期:2018-10-25 修回日期:2019-03-14 出版日期:2019-08-20 发布日期:2019-08-20
  • 通讯作者: 张云秋(ORCID:0000-0002-9790-9581),信息检索教研室主任,教授,博士生导师,通讯作者,E-mail:yunqiu@jlu.edu.cn。
  • 作者简介:朱祥(ORCID:0000-0002-5608-5272),博士研究生。

Progress and Trend of Knowledge Fusion Research in Recent Years

Zhu Xiang, Zhang Yunqiu   

  1. Department of Medical Informatics, School of Public Health, Jilin University, Changchun 130021
  • Received:2018-10-25 Revised:2019-03-14 Online:2019-08-20 Published:2019-08-20

摘要: [目的/意义]对近年来知识融合相关研究进行梳理与评价,以期为今后相关研究提供参考。[方法/过程]首先解析知识融合的概念,然后对知识融合的框架、过程和方法进行梳理,继而总结知识融合的研究趋势,最后进行研究展望。[结果/结论]知识融合研究在大数据环境下呈现出新的研究特点,但还不能满足大数据环境的要求,未来应从构建分层多维立体的大数据知识融合框架、提高知识融合的效率、构建实时动态融合机制、开展大数据实证应用研究4个方面开展知识融合研究。

关键词: 知识融合, 大数据, 述评

Abstract: [Purpose/significance] Knowledge fusion, as an effective method to deal with multi-source heterogeneous data and generate new knowledge semantically, has become a new research point of information science in the big data environment, but it is still in its infancy. The paper aims to sort out, evaluate the current research on knowledge fusion, and provide reference for future research.[Method/process] Firstly, the concept of knowledge fusion was analyzed. Then the framework, process and method of knowledge fusion were combed. Then the research trend of knowledge fusion was summarized. Finally, the research prospect was made.[Result/conclusion] Knowledge fusion research presented new research characteristics in the big data environment, but it can't meet the requirements of the big data environment. In the future, we should build a hierarchical and multi-dimensional big data knowledge fusion framework, improve the efficiency of knowledge fusion, build real-time dynamic fusion mechanism, and carry out big data empirical research based on knowledge fusion.

Key words: knowledge fusion, big data, review

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