数字图书馆论坛2026，Vol.22Issue(3)：20-30,11.DOI:10.3772/j.issn.1673-2286.2026.03.003
融合词汇语义功能的学科知识结构识别与演化分析
Integrating Term Function for Identification and Evolutionary Analysis of Discipline Knowledge Structure
摘要
Abstract
Identifying and analyzing the knowledge structure and its evolution in a discipline helps to grasp the patterns of development and change in a field,thereby promoting and guiding its progress.Traditional co-word network-based studies typically treat keywords as homogeneous nodes,leading to coarse analytical granularity and low semantic depth,while also failing to capture the co-evolutionary relationships between functional terms,such as research questions and methods.To address these limitations,this study enhances the semantic information of knowledge network nodes through term function to improve the granularity of knowledge structure identification and evolution analysis.First,the BERT model is employed to identify research questions and methods in academic literature,based on which a heterogeneous co-occurrence network incorporating term functions is constructed,and a community detection algorithm is applied to identify the disciplinary knowledge structure.Second,topic strength quantification is conducted from two dimensions:the overall evolution of the knowledge structure and the binary evolution of question-method pairs,with an empirical study using the ACM(Association for Computing Machinery)dataset.Experimental results show that the proposed method effectively identifies nine knowledge communities in the field of computer science,systematically revealing the research questions,methods,and their association patterns within each community.Furthermore,the evolution analysis incorporating binary attributes captures the dynamic shifts in research foci and the intrinsic question-method association logic.This study enhances the granularity and interpretability of knowledge structure analysis,providing a new perspective and methodology for disciplinary knowledge structure mining.关键词
词汇语义功能/共现网络/问题-方法/知识结构/演化分析/计算机学科Key words
Term Function/Co-occurrence Network/Question-Method/Knowledge Structure/Evolution Analysis/Computer Science分类
社会科学引用本文复制引用
王佳敏,房子辰,崔蕴学..融合词汇语义功能的学科知识结构识别与演化分析[J].数字图书馆论坛,2026,22(3):20-30,11.基金项目
本研究得到国家自然科学基金青年项目"基于文本语义理解的跨学科知识结构识别与演进路径研究"(编号:72304218)资助. （编号:72304218）
