数字图书馆用户跨学科认知结构挖掘研究  

A Research on the Mining Method of Interdisciplinary Cognitive Structure for Digital Library Users

作　　者：王忠义[1] 刘继月 胡敏 王珂莹 Wang Zhongyi;Liu Jiyue;Hu Min;Wang Keying

机构地区：[1]华中师范大学信息管理学院

出　　处：《图书馆学研究》2022年第5期35-44,共10页Research on Library Science

基　　金：国家社科基金重大项目“新时代我国文献信息资源保障体系重构研究”(项目编号:19ZDA345);教育部人文社会科学研究规划基金“跨学科知识组织中学科概念跨学科关联研究”(项目编号:21YJA870003)的研究成果之一。

摘　　要：为探究数字图书馆用户的跨学科认知结构,识别用户跨学科的知识需求,同时为数字图书馆跨学科知识服务提供依据,文章基于跨学科概念图,提出一种数字图书馆用户跨学科认知结构挖掘方法。根据用户在数字图书馆上检索、浏览等行为挖掘用户跨学科认知结构,包括确定概念节点、概念节点间关系权重、节点路径顺序、学科取向等内容。实验表明,和人工构建的跨学科概念图相比,跨学科认知结构挖掘方法在识别概念节点、概念节点间关系权重和节点路径顺序等的准确性上有较高水平,说明该方法具有有效性。In order to explore the interdisciplinary cognitive structure of digital library users,identify the interdisciplinary knowledge needs of users,and provide a basis for interdisciplinary knowledge service of digital library,this paper proposes an interdisciplinary cognitive structure mining method for digital library users based on the interdisciplinary concept map.According to the user’s behaviors such as searching and browsing on the digital library,the user’s interdisciplinary cognitive structure is mined,including the determination of concept nodes,the relationship weight between concept nodes,the order of node paths,and the orientation of disciplines.The experiment shows that,compared with the artificially constructed interdisciplinary concept map,the interdisciplinary cognitive structure mining method has a high level of accuracy in identifying concept nodes,relationship weights between concept nodes and node path order,indicating the effectiveness of the method.

关 键 词：跨学科 概念图 认知结构 数字图书馆 

分 类 号：G250.7[文化科学—图书馆学]