摘要
知识融合在促进知识协作创新和提高知识服务质量中扮演重要角色，系统梳理我国1990—2015年的相关文献，对知识科学视角下知识融合的研究主题和内容做归纳分析，主要发现有：第一，知识融合研究背景是多源异构知识带来的挑战、知识共享和知识服务成为焦点，以及知识管理与知识创新双重需求；第二，我国知识融合研究主要集中在框架研究、算法研究和系统研究，其中框架研究已经发展到知识聚类、评估和融合的三模块框架；算法研究包括基于语义的知识融合算法、基于D—S理论的融合算法、基于主题图的融合算法、基于模糊集理论的融合算法和知识融合的评价算法；系统研究则有NKI的知识融合模块以及其他项目中涉及知识挖掘的部分；第三，图书情报领域的知识融合主要在参考咨询和协同标注。最后，指出图书情报领域应引领知识融合研究，以深化图书情报服务。
Knowledge fusion plays an important role in advancing knowledge cooperative innovation and improving knowledge service quality. The paper systematically reviews related literature from 1990 to 2015, and analyzed research topics and content of knowledge fu- sion from perspective of knowledge science. Main conclusions are： firstly, background of knowledge fusion includes challenges brought a- bout by multi-source knowledge, knowledge sharing and knowledge service having become the focus, and the dual need of knowledge management and knowledge innovation; secondly, domestic knowledge fusion researches mainly are framework study, algorithm study and system study. Framework study has evolved to a three module framework incorporating knowledge aggregation, evaluation and fusion; al- gorithm study includes those based on semantics, D-S theory, topic map, fuzzy theory and evaluation algorithm; system study is represen- ted by knowledge fusion module of NKI and other parts relating to knowledge mining contained in programs; thirdly, knowledge fusion in LIS field mainly involves reference consulting and collaboration annotation. It is pointed out at last that LIS field shall take lead in knowl- edge fusion studies, thus to deepen LIS services.
出处
《情报杂志》
CSSCI
北大核心
2015年第8期158-162,共5页
Journal of Intelligence
关键词
知识融合
图书情报学
框架研究
算法研究
系统研究
knowledge fusion library and information science framework study algorithm study system study
