Design of an Intelligent Archive Management Platform Based on the Dual Perspectives of Supply and Demand
Based on the dual perspectives of supply side and demand side,this article constructs an intelligent management platform for archives.The core technologies of this platform include data collection and preprocessing,intelligent recognition and classification,distributed storage and retrieval,as well as security and privacy protection.The platform digitizes paper archives through efficient scanning technology and OCR,and utilizes deep learning algorithms and NLP technology to achieve intelligent recognition and classification of document content.Distributed storage and intelligent retrieval algorithms ensure efficient processing of large-scale data in the system.In addition,the platform utilizes technologies such as big data analysis,machine learning,and NLP to explore the value of archives and optimize the supply structure of archive resources.Provide customized services through user data analysis,personalized recommendations,and other means.The development of this platform can enhance the intelligence level of archive management and provide users with efficient and accurate archive services.
intelligencemanagement platformbig data analysisOCRmachine learning
万方数据
维普
