基于知识网络的标签层级演化研究

发布时间：2018-06-11 12:09

本文选题：知识网络 + 层级结构　；参考：《图书情报工作》2017年11期

【摘要】：[目的/意义]基于知识网络的核心-边缘结构揭示Folksonomy知识组织模式中标签层级演化的模式与规律,对洞悉开放网络环境下知识组织的层级结构具有重要意义。[方法/过程]以网络思维为指导,基于标签之间的同现关系构建领域知识网络。依据核心-边缘结构分析方法,遵循时间序列对标签层级的演化情况,从描述统计、显著性分析、层级升降演化等方面进行跟踪研究。[结果/结论]标签的核心/边缘层级结构随着领域知识的发展演化变迁,逐渐收敛趋于稳定。标签层级的晋升与淡化主要受知识关联驱动,核心层标签之间的关联关系占有更高的权重。标签层级演化规律的揭示,有助于把握Folksonomy模式中知识组织的结构特征,对于揭示开放网络环境下知识关联及其结构关系具有积极的促进作用。
[Abstract]:[aim / significance] based on the kernel-edge structure of knowledge network, it is of great significance to reveal the pattern and rule of label hierarchy evolution in Folksonomy knowledge organization pattern, which is of great significance for understanding the hierarchical structure of knowledge organization in open network environment. Methods: based on the cooccurrence relationship between labels, domain knowledge network is constructed under the guidance of network thinking. According to the method of core-edge structure analysis and following the time series, the evolution of label hierarchy is studied in terms of description statistics, significance analysis, hierarchy evolution and so on. The core / edge hierarchy of the label converges steadily with the evolution of domain knowledge. The promotion and desalination of tag level are mainly driven by knowledge association. It is helpful to grasp the structural characteristics of knowledge organization in Folksonomy mode and to reveal the relationship between knowledge association and its structure in open network environment.
【作者单位】：东北师范大学信息科学与技术学院;吉林大学管理学院;吉林大学图书馆;
【基金】：国家自然科学基金项目“基于网络结构演化的Folksonomy模式中社群知识组织与知识涌现研究”(项目编号:71473035)研究成果之一
【分类号】：G254

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