摘要
电子政务办公自动化是实现我国信息化带动工业化的重要表现之一。政府日常工作中包含了大量的文档数据,数字时代下政府工作人员需要在短时间内快速分析、管理及编写大量的电子文档数据,所以如何实现政府工作文档的快速检索梳理与管理编辑已成为当前政务办公自动化的首要任务。基于此,文章通过梳理政府工作文档管理数字化系统的设计目标,利用现有的循环神经网络(Recurrent Neural Network,RNN)、长短期记忆网络(Long Short-Term Memory,LSTM)等信息技术资源,从系统架构设计、系统功能模块设计、系统数据库设计3个方面出发阐述文档管理数字化系统设计方案,并通过功能测试,验证系统科学性与可靠性,以期为政府工作人员提供便捷式的文档管理方式,减轻政府工作人员任务量,提高文档管理效率。
Electronic government office automation is one of the important manifestations of achieving China's informatization driven industrialization.Due to the large amount of document data included in the daily work of the government,and the need for government personnel to quickly analyze,manage,and write a large amount of electronic document data in a short period of time in the digital age,how to achieve rapid retrieval,sorting,management,and editing of government work documents has become the primary task of current government office automation.Based on this,this paper clarifies the design goal of the digital system of government work document management,uses the existing Recurent Neural Network(RNN)network,Long Short-Term Memory(LSTM)network and other information technology resources,and expounds the design scheme of the digital system of document management from three aspects of system architecture design,system function module design,and system database design,and verifies the systems science's scientific nature and reliability through functional testing,To provide convenient document management methods for government staff,reduce the workload of government staff and improve document management efficiency.
作者
李瑛
LI Ying(Wuwei Big Data Center,Wuwei Gansu 733000,China)
出处
《信息与电脑》
2023年第12期26-28,共3页
Information & Computer
关键词
政府工作
文档管理数字化系统
系统架构
系统功能模块
government work
digital document management system
system architecture
system function module
