基于大数据分析的图书信息采编质量管理系统

Quality Management System of Book Information Acquisition and Cataloguing Based on Big Data Analysis

图书馆传统的采编流程呈现各环节相互分离和严重的同源信息交叉重复现象,且经费利用率低,导致读者获取全面的知识信息难度变大。针对目前图书信息采编数据挖掘可靠性差、数据挖掘精度低的问题,提出了基于大数据分析的图书信息采编质量管理系统。该系统采用中心节点标识报文,分析内容集的相似程度,获取图书信息采编质量管理的模糊指标分布函数,完成图书信息采编数据采样。再利用高维数据信息重组方法,对图书信息进行数据融合采编,并提取图书信息采编质量管理信息的关联规则特征集,根据图书信息采编内容集相似程度,得到图书信息采编的指向性函数。通过优化图书信息采编信息数据自动更新聚类中心,经过统计分析后结合语义相似度特征分析和本体特征构造的方法,得到图书信息采编信息的语义本体模糊度函数。最后通过模糊控制方法进行图书信息采编质量管理过程中的自适应控制和稳定性调节,来实现优化图书信息采编质量管理系统。仿真结果表明,较传统的图书信息采编相比,采用本文的图书信息采编数据挖掘可靠性较好,数据挖掘精度较高。

The traditional collection and editing process of Library presents the phenomenon of separation of each link and serious overlapping of homologous information,and the low utilization rate of funds,which makes it difficult for readers to obtain comprehensive knowledge and information.Aiming at the problems of poor reliability of data mining and low data mining accuracy in current book information editing and editing,a quality management system for book information collection and editing based on big data analysis is proposed.The system uses the central node to identify the message,analyze the similarity of the content set,obtain the fuzzy index distribution function of the quality management of book information acquisition and editing and completes the data sampling of book information collection and compilation.Use the high-dimensional data information reorganization method,data fusion book information acquisition and extraction,and extract the association rule characteristics of the book information acquisition and editing quality management information Collection,according to the similarity of the content collection of book information editing and editing,to obtain the directivity function of book information editing and editing,to optimize the automatic updating of the clustering information data of book information editing and editing center,the use of statistical analysis methods,combined with semantic similarity feature analysis and ontology feature construction methods,the semantic ontology ambiguity function of the book information editing and editing information is obtained.Finally,the fuzzy control method is used to realize the self-adaptive control and stability adjustment in the process of quality management of book information acquisition and cataloguing,so as to optimize the quality management system of book information acquisition and cataloguing.The simulation results show that,compared with the traditional book information acquisition and compilation,the data mining reliability of this paper is better,and the data mining accuracy is higher.