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作 者:吴琳[1] 乔雅 WU Lin;QIAO Ya(Shaanxi College of Communication Technology,Xi’an 710018,China)
出 处:《信息技术》2022年第9期146-150,156,共6页Information Technology
摘 要:为提升书目分类管理准确性与管理效率,设计出基于物联网技术的智慧图书馆书目管理系统。感知层负责采集书目相关信息,网络层将感知层数据发送应用层,利用词频-逆文档频率方法转变预处理后的书目数据,挖掘词条和语料库间隐含的语义空间,通过奇异值分解方法分解特征矩阵,使用联合SVM分类器实现不同种类书目数据分类。实验证明:该系统在加权权值是0.4与奇异值是90时,书目分类管理准确率高达100%,在不同书目管理数量情况下,该系统的管理效率较高、承载性能较好。In order to improve the accuracy and efficiency of bibliographic classification management,a smart library bibliographic management system based on Internet of Things technology is designed.The perceptual layer is responsible for collecting bibliographic information,and the network layer sends the perceptual layer data to the application layer.The word frequency inverse document frequency method is used to transform the preprocessed bibliographic data,and the semantic space between the entries and corpus is mined.The feature matrix is decomposed by singular value decomposition method,and the joint SVM classifier is used to classify different kinds of bibliographic data.Experiments show that when the weighted weight is 0.4 and the singular value is 90,the accuracy of bibliographic classification management is as high as 100%,in addition,in the case of different number of bibliographic managements,the system has high management efficiency and good carrying capacity.
关 键 词:物联网技术 智慧图书馆 书目管理 语义空间 支持向量机
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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