摘要
面对互联网技术的成熟化、普及化发展,数字图书馆成为了为人们提供信息资源的重要机构。然而面对数据异构化、分散化发展的大环境,数字图书馆的传统信息检索系统与用户日益提高的信息检索需求不再适应,难以正确判断出用户的检索意图,存在检索效率低、检测结果不够准确的问题。基于此,该文结合语义网技术,对数字图书馆信息检索系统框架模型进行模块、流程、系统结构设计,并在此基础上给出领域本体集成与构建、语义相似度算法优化的方法,旨在为数字图书馆信息检索系统科学建设提供参考,从而最大化展现出数字图书馆的信息资源利用价值。
In the face of the mature and popular development of Internet technology,digital library has become an important institution to provide people with information resources.However,in the face of the development environment of data isomerization and decentralization,the traditional information retrieval system of digital library can no longer adapt to the increasing information retrieval needs of users,and it is difficult to correctly judge the retrieval intention of users.there are some problems,such as low retrieval efficiency and inaccurate detection results.Based on this,combined with semantic web technology,this paper designs the module,process and system structure of the framework model of digital library information retrieval system.On this basis,it gives the methods of domain ontology integration and construction and semantic similarity algorithm optimization,in order to provide reference for the scientific construction of digital library information retrieval system,and thus maximize the utilization value of digital library information resources.
出处
《科技创新与应用》
2024年第16期120-123,共4页
Technology Innovation and Application
关键词
语义网
数字图书馆
信息检索系统
信息资源利用价值
系统框架模型
semantic web
digital library
information retrieval system
utilization value of information resources
system framework model
作者简介
杨鸿(1987-),女,讲师。研究方向为图书馆学-医学文献检索与利用。
