摘要
针对情报信息挖掘过程中信道拥塞、信道使用率不高、吞吐能力弱导致数据存储负载过高的问题,设计一种基于知识单元挖掘的网络文库信息存储模型。通过设计网络文库信息类型的空间模型,实现网络文库中的海量数据分类,对分类后的网络文库目标存储信息进行多路径分配,将其分配到不同信道中,对存储信道进行负载特征分解,以确保各个情报信息存储传输信道的均衡负载,最后构建网络文库信息存储模型,实现文库信息存储。模型实验结果的信息存储节点时延和信道异常量降低,信息丢帧率减少,由此可得出结论:基于知识单元挖掘的网络文库信息存储模型对降低文库信息负载具有重要作用,可应用于情报信息中的网络文库资源储存与挖掘。
In the process of information mining, channel congestion, low channel utilization, and weak throughput lead to high data storage load. This paper presents a design of a network library information storage model based on knowledge unit mining. Through the design of the spatial model of the information type of the network library, massive data classification is realized. After the classification, the target storage information of the network library is allocated to different channels in a multi-path fashion. The load characteristics of the storage channels are decomposed to ensure the balanced load of each information storage and transmission channel. Finally, the information storage model of the network library is constructed to store the library information. The experimental results showed that there is a reduction in the delay of information storage node and the abnormal number of channels. The frame rate of information loss is also reduced. Therefore, it can be concluded that the information storage model of the network library based on knowledge unit mining plays an important role in reducing the information load on the library, and can be applied to the storage of network library resources in information mining.
作者
刘东亮
王军光
张洁
赵浩宇
赵蔚
Liu Dongliang;Wang Junguang;Zhang Jie;Zhao Haoyu;Zhao Wei(School of Information Science and Technology,Northeast Normal University,Changchun 130022;Library of Liren College,Yanshan University,Qinhuangdao 066004;Journal Editorial Department,Jilin University,Changchun 130012)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第2期171-177,共7页
Journal of the China Society for Scientific and Technical Information
关键词
知识单元
存储信息
网络文库
信息模型
knowledge unit
storing information
network library
information model
