摘要
因研究者知识面的局限和人为的去除、隐藏、弱化等行为,某些领域科技文献中经常出现某些有价值关联被忽略的现象。本文提出了基于共词分析的隐性关联知识发现方法,用于发现这些尚未被发现的联系或复现这些被主观隐藏的特定联系,揭示出技术发展动向,以提高情报研究质量和情报工作地位。
Due to the limited range of researchers＇ knowledge and factitious behavior of removal, concealment and weakening, some valuable linking in scientific and technical documents is frequently neglected. This paper brings forth the covert-linked knowledge discovery method based on co-word analysis, which can be used to find out the link which is not discovered yet or re-display the specific link which is concealed subjectively, and disclose the development trend of the technology so as to improve the quality of intelligence studies and enhance the position of intelligence service.
出处
《情报理论与实践》
CSSCI
北大核心
2009年第10期99-103,共5页
Information Studies:Theory & Application
基金
国家自然科学基金项目"科技创新演化循证分析理论与方法研究"(项目编号:70873123/G030701)
教育部社科研究基金规划(项目编号:07JA87005)资助的成果之一
关键词
战略坐标
共词聚类
隐性关联
知识发现
strategic diagram
co-word clustering
covert linking
knowledge discovery
