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| Research on Network Library Information Storage Model Based on Knowledge Unit Mining |
| Liu Dongliang1,3, Wang Junguang2, Zhang Jie3, Zhao Haoyu3, Zhao Wei1 |
1.School of Information Science and Technology, Northeast Normal University, Changchun 130022
2.Library of Liren College, Yanshan University, Qinhuangdao 066004
3.Journal Editorial Department, Jilin University, Changchun 130012 |
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Abstract 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.
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Received: 08 July 2019
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1 ColemanD E. Evolution of a library: Information storage to information use[J]. Journal of Hospital Librarianship, 2017, 17(3): 201-208.
2 司莉, 曾粤亮. 国外机构科研数据知识库研究进展[J]. 情报学报, 2017, 36(8): 859-870.
3 刘坤佳, 陈科第, 乔凤才, 等. 基于全球整合新闻数据库的开源情报关联与可视化分析[J]. 情报学报, 2017, 36(2): 152-158.
4 宁德军, 叶培根, 刘琴, 等. 基于存储库数据挖掘的开源软件成功度量方法[J]. 电子学报, 2018, 46(12): 2930-2935.
5 GoldfeldZ, BreslerG, PolyanskiyY. Information storage in the stochastic Ising model[OL]. https://arxiv.org/abs/1805.03027.
6 尹华锋, 苏程, 冯存均, 等. 基于样本知识挖掘的高分辨率遥感图像水稻种植信息提取方法[J]. 浙江大学学报(农业与生命科学版), 2018, 44(6): 765-774.
7 贾君枝, 冯婕. 基于因果链求解算法的人物关系挖掘研究——以Wikidata知识库为例[J]. 情报学报, 2017, 36(3): 221-230.
8 赵思远, 许志伟, 刘利民, 等. 基于拓扑模型的高效表格识别机制研究[J]. 内蒙古工业大学学报(自然科学版), 2018, 37(1): 63-70.
9 李明娟, 邸海涛, 张鹏, 等. 云存储系统架构与关键技术研究[J]. 信息通信, 2018, 31(3): 125-126.
10 宋娟, 张宏. 基于海量存储的三维地理信息系统应用与研究[J]. 计算机技术与发展, 2018, 28(5): 144-148.
11 胡振中, 田佩龙, 李久林. 基于IFC的传感器信息存储与应用研究[J]. 图学学报, 2018, 39(3): 522-529.
12 Nafa F, Khan J I, Othman S,et al. Mining cognitive skills levels of knowledge units in text using graph tringluarity mining[C]// Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence Workshops. New York: IEEE, 2016: 522-529.
13 马璐钰. 基于Web日志挖掘的个性化学习资源推荐模型研究[J]. 电脑知识与技术, 2018, 14(23): 23-24.
14 黄博玉, 毛华坚, 迟晨阳, 等. 军人健康档案数据库存储模型的设计与优化[J]. 军事医学, 2017, 41(10): 841-844.
15 马骏, 陈玉林. 基于面向对象的分布式遥感数据存储模型研究[J]. 河南大学学报(自然科学版), 2017, 47(2): 185-193.
16 Padiyedath GopalanS, KawamuraA, TakasakiT, et al. An effective storage function model for an urban watershed in terms of hydrograph reproducibility and Akaike information criterion[J]. Journal of Hydrology, 2018, 563: 657-668.
17 LiuW Y, LiH H, TanZ F, et al. Optimization model of detecting facility storage and scheduling for power system emergency considering information accuracy[J]. Automation of Electric Power Systems, 2017, 41(15): 162-169.
18 孙宏伟. 基于“三大能力”模型的软件案例研究[J]. 计算机产品与流通, 2018(4): 38, 40.
19 HoulihanG, Arangundy-FranklinS, HolligerP. Exploring the chemistry of genetic information storage and propagation through polymerase engineering[J]. Accounts of Chemical Research, 2017, 50(4): 1079-1087.
20 王娇. 基于伯川德模型的虚拟社区文档定价策略[J]. 科技风, 2018(10): 40.
21 曹明, 遇炳杰, 刘咸通, 等. 网络数据传输高密度信息安全存储仿真[J]. 计算机仿真, 2017, 34(12): 153-156, 236.
22 张玉杰, 刘强, 张婷婷. 物联网系统异构数据的过滤及存储模型研究[J]. 电子器件, 2018, 41(3): 703-707.
23 张尚, 石变华, 孙佳增, 等. 肾脏纤维化大鼠模型尿液中差异表达基因筛选及生物信息学分析[J]. 基础医学与临床, 2017, 37(4): 500-505.
24 陈佳铭, 王风立, 邓君湘, 等. 基于XML语言的导弹防御系统HSTPN博弈模型存储与加载[J]. 计算机应用与软件, 2018, 35(12): 12-15. |
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