情报科学 ›› 2021, Vol. 39 ›› Issue (4): 3-8.

• 专论 •    下一篇

知识融合模式分析及应用研究

  

  • 出版日期:2021-04-01 发布日期:2021-04-09

  • Online:2021-04-01 Published:2021-04-09

摘要:

【目的/意义】知识经济时代,知识的继承、聚合、管理和创新是各领域迫切需要解决的问题,知识融合作为
知识工程、信息技术、管理科学、图书情报等领域的交叉学科,受到学者们的广泛关注。本文对知识融合的模式进行
分析、总结和归类,为丰富知识研究的内容和层次,提高知识服务水平提供了参考。【方法/过程】采用内容分析法、定
性分析法,对国内外相关文献解读,归纳不同研究对知识融合的过程的具体描述及融合产生的结果。【结果/结论】目
前对知识融合模式的研究,没有形成统一的研究框架。本文从知识工作者、知识库、知识工作者和知识库结合三个
视角,探讨了知识融合的模式,以及其在智慧搜索、知识创新、知识共享和知识优化等方面的具体应用。【创新/局限】
从三种不同的角度,对知识融合的模式进行了归纳总结,为研究知识融合的通用框架提供了新思路。不足之处在
于,这些融合的方法,不能解决基于上下文的知识融合过程中的知识关联问题,这也是将来研究的重点。

Abstract:

【Purpose/significance】In the era of knowledge economy,the inheritance, aggregation,management and innovation of knowl⁃
edge is an urgent problem to be solved in various fields.As an interdisciplinary subject in Knowledge Engineering, Information Tech⁃
nology, Management Science, Library and Information, knowledge fusion has drawn extensive attention from scholars. This paper ana⁃
lyzes, summarizes and classifies the patterns of knowledge fusion, which provides a reference for enriching the content and level of
knowledge research and improving the level of knowledge service.【Method/process】The content analysis method and qualitative analy⁃
sis method are used to interpret related literatures at home and abroad, summarize the processes explicitly declared and the results of
the fusion in different studies.【Result/conclusion】The research of knowledge fusion pattern does not form a unified research frame⁃
work.This paper discusses the patterns of knowledge fusion from the perspectives of knowledge worker,knowledge repository,knowl⁃
edge worker and knowledge repository,as well as its applications in intelligent search,knowledge innovation,knowledge sharing,knowl⁃
edge optimization and so on.【Innovation/limitation】From three different perspectives,the patterns of knowledge fusion are summa⁃
rized,which provides new ideas for studying the framework of knowledge fusion.The disadvantage is that these fusion methods cannot
solve the problem of knowledge association in the context-based knowledge fusion process,and which is the key point of the future re⁃
search.