智慧图书馆建设过程中技术元素分析及知识图谱构建研究  

Analysis of Technical Element and Construction of Knowledge Graph for Smart Libraries

作　　者：程秀峰[1] 曹琪 蒋开宸 周梦蝶 Cheng Xiufeng;Cao Qi;Jiang Kaichen;Zhou Mengdie(School of Information Management,Central China Normal University,Wuhan 430079)

机构地区：[1]华中师范大学信息管理学院,武汉430079

出　　处：《图书情报工作》2024年第9期123-136,共14页Library and Information Service

基　　金：国家自然科学基金面上项目“基于情境感知的智慧图书馆阅读与交流服务实现路径研究”(项目编号:71974069)研究成果之一。

摘　　要：[目的/意义]挖掘智慧图书馆建设过程中所涉技术,揭示技术元素之间的结构关系,绘制智慧图书馆技术元素知识图谱,对智慧图书馆建设提供技术参考。[方法/过程]以智慧图书馆相关文献为数据源,基于流水线方法,分别采用深度学习模型BERT-BiLSTM-CRF与RBERT自下而上地识别技术元素实体及其相关关系,针对技术性知识进行融合与扩展,继而绘制智慧图书馆技术元素知识图谱。[结果/结论]所构建的知识图谱能够有效呈现智慧图书馆建设过程中相关领域技术及其结构关系,揭示相关技术利用现状与发展趋势,从而助力“十四五”期间图书馆的智慧化成功转型。[Purpose/Significance]By mining the technical elements in smart libraries and revealing the structural relationships,it draws a knowledge graph about them,and provides technical support for smart library construction.[Method/Process]The article took the relevant literatures on smart library as the data source.Firstly,based on the pipelining method,it adopted the deep learning models,BERT-BiLSTM-CRF and RBERT,to identify the technical entities and related relationships.And then it carried out knowledge fusion and extension for the technical knowledge.Finally,it drew the knowledge graph of technical elements in the smart libraries construction.[Result/Conclusion]The knowledge graph can effectively present the related technics and their relationships in the process of smart library construction,reveal the current status and development trend of that technics,and thus help the library’s intelligent transformation during the“14th Five-Year Plan”period.

关 键 词：智慧图书馆 知识图谱 BERT 深度学习 

分 类 号：G251[文化科学—图书馆学]