图书情报工作 ›› 2016, Vol. 60 ›› Issue (13): 13-19,32.DOI: 10.13266/j.issn.0252-3116.2016.13.002

• 理论研究 • 上一篇    下一篇

知识融合:概念辨析与界说

刘晓娟1, 李广建2, 化柏林2   

  1. 1. 北京师范大学政府管理学院 北京 100875;
    2. 北京大学信息管理系 北京 100871
  • 收稿日期:2016-04-20 修回日期:2016-06-21 出版日期:2016-07-05 发布日期:2016-07-05
  • 通讯作者: 李广建(ORCID:0000-0002-2897-6246),教授,博士生导师,博士,通讯作者,E-mail:ligj@pku.edu.cn
  • 作者简介:刘晓娟(ORCID:0000-0002-5727-733X),副教授,硕士生导师,博士;化柏林(ORCID:0000-0001-9248-6455),助理教授,博士
  • 基金资助:

    本文系国家社会科学基金重大项目“大数据时代知识融合的体系架构、实现模式及实证研究”(项目编号:15ZDB129)研究成果之一。

Knowledge Fusion: from the Conceptual Understanding to the System Construction

Liu Xiaojuan1, Li Guangjian2, Hua bolin2   

  1. 1. School of Government, Beijing Normal University, Beijing 100875;
    2. Department of Information Management, Peking University, Beijing 100871
  • Received:2016-04-20 Revised:2016-06-21 Online:2016-07-05 Published:2016-07-05

摘要:

[目的/意义] 知识融合是一个随技术环境和社会环境不断发展变化的概念,并可应用于多个学科领域,然而目前学术领域对知识融合的概念界定还缺少一致的理解,对其进行辨析有利于推动后续研究。[方法/过程] 通过充分调研和分析,在理论和实践层面汲取以往研究中的观点和成果,一方面选取不同时期和不同领域的知识融合概念的典型表述,并分别提取“处理对象”“融合过程”以及“融合结果”3个关键要素;另一方面通过知识融合系统体系架构的剖析来进一步明确知识融合的研究范畴与边界。[结果/结论] 综合概括得到一个相对完整的知识融合概念定义,并从流程角度对知识融合概念进行分解。

关键词: 知识融合, 知识表示, 知识抽取, 知识转换, 本体

Abstract:

[Purpose/significance] Knowledge fusion is a concept that has been developing and changing with the technological and social environment, and can be applied in many fields. However, there are different views on the definitionof knowledge fusion. The study on the concept of knowledge fusion will contribute to the development of knowledge fusion research.[Method/process] Through the full investigation and analysis, this article absorbed previous research achievements and views at both theoretical and practical levels. On the one hand, it selected several typical knowledge fusion definitions from different periods and different areas, and extracted three key elements, including "fusion object", "fusion process" and "fusion results". On the other hand, it further clarified the research scope and boundary of knowledge fusion through the analysis of several typical knowledge fusion system architectures.[Result/conclusion] It proposes a relatively complete concept definition. It also decomposes the proposed knowledge fusion concept by the process.

Key words: knowledge fusion, knowledge representation, knowledge extraction, knowledge transformation, ontology

中图分类号: