文献类型：期刊文献

英文题名：A Data Governance Model Based on Multi-Agents System

作者：Gao, Xiaowu[1]; Chen, Xiaoning[1]; Fang, Yiquan[1]; Cheng, Hua[2]

机构：[1] East China University of Science and Technology, Information and Data Managerment Center, Shanghai, China; [2] East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China

年份：2025

起止页码：339

外文期刊名：2025 IEEE 7th International Conference on Communications, Information System and Computer Engineering, CISCE 2025

收录：EI(收录号：20253118896513)

语种：英文

外文关键词：Classification (of information) - Data assimilation - Data integration - Data quality - Information management - Integration - Intelligent agents - Quality control - Quality management

摘要：Data assets have become a core driver of societal development; however, data originates from diverse channels and varies significantly in quality, making it unsuitable for direct analysis and decision-making without enhancement through data governance. To address the limitations of traditional data integration techniques in meeting the multi-modal data governance requirements of massive data environments, this paper proposes a data governance model based on multi-agents system. Leveraging the powerful computational and reasoning capabilities of large language Model, this model constructs specialized intelligent agents for tasks including metadata management, data standards management, data integration, data classification and grading, and data quality management, facilitating the evolution of data management from the integration phase towards intelligent governance. The paper further illustrates the model's application within the context of university data governance and concludes with a summary of related work. ? 2025 IEEE.