摘要
[目的/意义]对情报学知识来源的分析,有助于情报学界更好地把握学科研究内容、探究现有研究是否偏离情报学的本原。[方法/过程]文章基于4种情报学中文核心期刊的刊载文献及其中文参考文献,使用OI~*_i等指标定量分析国内情报学研究中各学科对情报学领域的知识输入量,并通过LDA主题模型识别各学科知识输入的主要内容。[结果/结论]研究发现,国内情报学研究过度依赖经济学、计算机科学、法学及管理学等学科,情报学中有关信息的研究较多,对真正的情报问题重视不够,急需加强自身理论和方法建设,增强学科独立性。
[Purpose/significance]The analysis of the source of information science knowledge will help us to grasp the research content better and explore whether existing research deviates from the initials of information science.[Method/process]The paper is based on the published literature of four core Chinese journals of information science and its Chinese references,the paper uses OI~*_i and other indicators to quantitatively analyze the knowledge input of various disciplines in domestic information science research,and identify the main content of knowledge input in various disciplines through the LDA theme model.[Result/conclusion]The study finds that domestic information science research relies too much on disciplines such as economics,computer science,law,and management,information science has more research on information issues and pays insufficient attention to real intelligence issues.It is urgent to strengthen the construction of its own theories and methods to enhance discipline independence.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第4期66-73,共8页
Information Studies:Theory & Application
基金
国家社会科学基金重点项目“面向国家发展与安全决策的情报服务创新研究”(项目编号:18ATQ003)
国家社会科学基金项目“大数据环境下人文社会科学学术创新力自动测度研究”(项目编号:15BTQ058)的成果。
关键词
学科交叉
跨学科
知识输入
情报学
定量分析
inter-discipline
interdisciplinary
knowledge input
Information science
quantitative analysis
