数据分类分级技术研究综述

doi:10.11896/jsjkx.240800149

Abstract

Abstract: In recent years,the continuous development of various information systems and the Internet of Things have led to their increasingly close integration with daily human activities.The massive data generated as a result has become a new type of productive asset in today’s socio-economic context,and even a national strategic resource,making data governance a growing focus of attention for governments,enterprises,and research institutions.Accurate and reasonable data classification and grading,as the most fundamental step in data governance tasks,will have a significant impact on subsequent data ownership determination,sharing,and security protection.This paper first defines the task of data classification and grading,and introduces traditional me-thods of classification and grading.It then provides an overview and comparison of recent data classification and grading technologies based on artificial intelligence,especially large language models.Given the relevance of data classification and grading to specific industries,this paper also presents the application of data classification and grading in key industries and domains.Finally,the paper looks forward to the development of data classification and grading technologies,discussing the new challenges they face and potential future directions.

Key words: Data classification and grading, Data element governance, Machine learning, Deep Learning, Large language model

CLC Number:

TP311

LIU Leyuan, CHEN Gege, WU Wei, WANG Yong, ZHOU Fan. Survey of Data Classification and Grading Studies[J].Computer Science, 2025, 52(9): 195-211.

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