词汇位置功能视角下的交叉领域知识生长研究  

Demystifying Knowledge Growth of Interdisciplinary Fields Based on the Location Functions of Terms

作　　者：操玉杰 王施运 毛进[2] 李纲[2] Cao Yujie;Wang Shiyun;Mao Jin;Li Gang(School of Information Management,Central China Normal University,Wuhan 430079;School of Information Management,Wuhan University,Wuhan 430072)

机构地区：[1]华中师范大学信息管理学院,武汉430079 [2]武汉大学信息管理学院,武汉430072

出　　处：《情报学报》2023年第4期393-406,共14页Journal of the China Society for Scientific and Technical Information

基　　金：国家社会科学基金项目“词汇范式功能视角下交叉领域知识生长机制研究”(20CTQ024)。

摘　　要：挖掘记载科学知识的交叉领域文献,可以探究交叉领域形成和发展中的知识流动和知识创造规律。本文依据词汇在交叉领域文献中的位置功能,提出了“文献空间观”和交叉领域知识生长过程模型,包括知识吸纳、知识内化和知识创新三大环节,进而构建一种全文本分析方法框架实现对交叉领域知识生长过程的量化分析。以生物信息学领域作为案例开展了实证分析,研究结果发现,知识内化与知识吸纳高度相关,数量差距约6倍,但变化趋势相同;领域知识创新第一次高峰出现时间晚于知识吸纳和内化4年左右;随着学科不断成熟,即时内化率保持相对稳定,总内化率降低,新增吸纳知识的内化时滞降低,内化知识激发知识创新的效率越来越高。本文所提出的面向交叉领域知识生长的全文本分析方法框架,能够丰富学术文献全文本内容分析方法体系。The law of knowledge creation and flow in the formation and development of interdisciplinary fields can be explored by mining the interdisciplinary literature of scientific knowledge.Based on the location functions of terms in the literature,we propose literature spatial theory and a knowledge growth process model for interdisciplinary fields,which involves knowledge absorption,internalization,and innovation.We designed a full-text analysis method for quantitatively analyzing the knowledge growth process of interdisciplinary fields.Empirical research was conducted on the bioinformatics field,and the knowledge growth characteristics of this interdisciplinary field were determined.First,knowledge internalization and absorption are highly related;they vary in quantity but have the same trend.Second,the first peak of knowledge innovation appears four years later than knowledge absorption and internalization.Third,with the development of the interdisciplinary field,the real-time internalization rate remains relatively stable,the entire internalization rate decreases,and the internalization rate of newly absorbed knowledge is decreasing while the efficiency of knowledge innovation stimulated by knowledge internalization is increasing.The proposed full-text analysis framework for interdisciplinary knowledge growth can enrich the full-text content analysis methodology of academic literature.

关 键 词：领域分析 知识计量 全文本分析 引文上下文 跨学科研究 

分 类 号：G353.1[文化科学—情报学]