Track 07 | Intelligent Data Governance: Theories, Technologies, and Applications | 智能数据治理:理论、技术与应用

Organizers 组织者

Chair
Wenlin Pan, Professor, Yunnan Minzu University
潘文林,教授,云南民族大学
Chair
Youliang Tian, Professor, Guizhou University
田有亮,教授,贵州大学
Co-Chair
Jianji Ren, Professor, Henan Polytechnic University
任建吉,教授,河南理工大学
Co-Chair
Yingbo Liu, Professor, Yunnan University of Finance and Economics
刘应波,教授,云南财经大学

Abstract / 摘要

With the deep integration and development of new-generation information technologies such as big data, artificial intelligence, and cloud computing, data governance is undergoing a critical transformation—from static management to dynamic empowerment, and from rule-driven approaches to intelligent decision-making. To address the challenges of soaring data volumes, multi-source heterogeneous integration, real-time processing demands, and security and compliance requirements, this thematic forum, titled "Intelligent Data Governance," focuses on intelligent data governance theory systems, key technological breakthroughs, and industry application practices. The forum aims to establish an interdisciplinary and cross-sector academic exchange platform, driving cutting-edge developments in AI-powered data quality control, intelligent metadata management, active data security defense, automated governance engines, and other frontier technologies, so as to serve the urgent needs of high-quality data governance under the strategies of the Digital Economy and Digital China. The forum invites papers from domestic and international scholars, engineers, and industry experts. All accepted papers will be submitted to IEEE for publication and indexed by EI Compendex. We sincerely welcome contributions and participation from all sectors, and look forward to exploring the future pathways of intelligent data governance together.

随着人工智能、大数据、云计算和数据基础设施的快速发展,数据已成为驱动组织创新、产业升级和社会治理的重要生产要素。面对数据规模持续增长、形态日益多样、跨系统流转复杂以及安全合规要求不断提升等挑战,传统数据治理在效率、适应性、自动化和可解释性方面亟待升级。本论坛聚焦智能数据治理的理论、方法、关键技术与行业应用,探讨人工智能、机器学习、知识图谱、大语言模型、智能体等技术在数据标准、元数据、数据质量、数据安全、数据血缘、数据资产和数据生命周期管理中的创新实践。论坛旨在促进学术界与产业界交流,推动数据治理由规则驱动和被动响应向语义协同、自动优化和主动智能转型。论坛面向国内外学者、工程师与行业专家公开征文,录用论文将提交IEEE出版并送交EI检索,诚邀各界踊跃投稿参会,共同探讨智能数据治理的未来路径。

Topics 主题征稿范围

The following topics are within the scope of this special session, but are not limited to: 以下为本分论坛征稿范围,但不限于: