摘要
针对目前数字图书馆关键字检索方法易与用户的需求产生误差,降低信息召回率以及查准率的问题,设计数字图书馆交互式信息分类检索模型。在交互式搜索过程中,对检索信息的本体进行分析与演化,完成检索信息的标注过程;使用标注后的信息完成搜索库中信息属性、数据表之间的匹配;使用语义距离与信息量两部分的相似度计算,控制检索过程的有效性,实现数字图书馆交互式信息分类检索模型构建。通过实验对比结果可知,文中设计模型检索结果查准率、检索结果召回率以及关联图书资源检出率均优于传统方法,由此证实了此模型具有实际应用价值。
Aiming at the problems that the current digital library keyword retrieval methods are easy to produce errors with the needs of users,and reduce the information recall rate and accuracy rate,the digital library interactive information classification retrieval model is designed.In the interactive search process,analyze and evolve the ontology of the retrieved information to complete the labeling process of the retrieved information;use the labeled information to complete the matching between the information attributes and data tables in the search database;use the semantic distance and the amount of information Partial similarity calculation controls the effectiveness of the retrieval process and realizes the construction of an interactive information classification retrieval model for digital libraries.By comparing the results of experiments,it can be seen that the precision rate of the retrieval results,the retrieval rate of retrieval results and the detection rate of related book resources of the designed model in the article are better than the traditional methods,which proves that this model has practical application value.
作者
杨月
Yue Yang(Yulin University,Yulin Shaanxi 719000,China)
出处
《科技通报》
2021年第12期112-116,共5页
Bulletin of Science and Technology
基金
榆林市产学研合作项目(编号:CXY-2020-013)
关键词
数字图书馆
相似度计算
人机交互
云服务
digital library
similarity calculation
human computer interaction
cloud service
