摘要
文章主要探讨了开放数据研究主题知识结构演化的判断条件、知识结构的演化过程以及产生知识结构演化的环境变迁。通过对数似然值来确定高频关键词在不同时间维度是否发生极显著性变化来测度知识结构是否发生演化;通过因子分析和社会网络分析来揭示知识结构的演化过程;通过定性分析总结知识结构演化的原因。研究结果发现,首先,对数似然值是一种测度知识结构发生演化的判断方法。其次,开放数据研究主题知识结构的演化过程:由数据共享向数据挖掘、开放获取、关联数据过渡,并逐渐向电子政务、隐私保护、开放政府数据、开放数据政策研究转换。第三,开放数据研究主题知识结构演化是同开放数据的环境变迁相关联的,即开放数据经历的项目驱动转向技术驱动过渡到政策驱动的发展过程。
This article mainly discusses the knowledge structure evolution within the territory of open data judgment conditions, the evolution process of the knowledge structure and the reasons of the evolution of knowledge structure. Us- ing logarithmic likelihood value to determine whether the high frequency keywords has significant changes in the differ- ent time dimension to measure whether the knowledge structure have evolved; through factor analysis and social net- work analysis to reveal the evolution of knowledge structure; through the qualitative analysis to summarize the cause of the evolution of knowledge structure. The results are that firstly, the logarithmic likelihood value is a measure of knowl- edge structure evolution of judgment method. Secondly, knowledge structure evolution process： data sharing to open ac- cess and data mining and linked data gradually to the electronic government affairs, privacy protection, open govern- ment data, open data policy research. Thirdly, the research in the fields of open data is driven by its environmental changes, i.e. project to the development of the technology then transit to policy.
作者
陶易
马海群
Tao Yi Ma Haiqun(College of Information Management, Heilongjiang University, Harbin, 150080 Research Center of Information Resources Management, Heilongjiang University, Harbin, 150080)
出处
《情报资料工作》
CSSCI
北大核心
2017年第4期30-35,共6页
Information and Documentation Services
基金
国家社会科学基金重点项目"开放数据与数据安全的政策协同研究"(编号:15ATQ008)的研究成果之一
关键词
开放数据研究
知识结构演化
对数似然值
open data research, knowledge structure evolution, logarithmic likelihood value
