吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (3): 652-661.

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基于MDR2023 的语义数据注册模型研究及应用

袁靖舒,翟可欣,袁  满   

  1. 东北石油大学计算机与信息技术学院,黑龙江大庆163318
  • 收稿日期:2024-10-25 出版日期:2025-06-19 发布日期:2025-06-19
  • 作者简介:袁靖舒(1992— ), 男,吉林农安人,东北石油大学讲师,博士,硕士生导师,主要从事数据治理、知识组织、数据质量等 研究, (Tel)86-18811139711(E-mail)yuanjingshu@ nepu. edu. cn
  • 基金资助:
    大庆市指导性科技计划基金资助项目(zb-2024-04) 

Research and Application of Semantic Data Registration Model Based on MDR2023

YUAN Jingshu, ZHAI Kexin, YUAN Man   

  1. School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
  • Received:2024-10-25 Online:2025-06-19 Published:2025-06-19

摘要: 针对数据语义治理方面的研究不足, 尤其是缺乏从底层基础理论出发,对语义进行系统性探索,进而 实现数据语义标准化注册与管理的深入研究。 因此,从基础理论出发对语义组织与表示的本质进行揭示,进而 提出了概念世界的概念系统模型。 然后,结合ISO/IEC(International Organization for Standardization/International Electrotechnical Commission) 11179 系列标准分别构建了基于 MDR(Metadata Registry)的性质特征概念语义注册 元模型和关系特征概念语义注册元模型,实现了富语义知识的注册与管理。 最后,以油气勘探与评价领域数据 治理为背景,设计并开发了元数据注册及治理系统。 无论是从理论角度还是应用层面,基于MDR标准所提出 的两类语义模型的合理性与正确性得到了验证,体现了其在实际应用中的有效性。 

关键词: 数据治理, 元数据, 系统论, 概念论, 符号学理论, 语义注册模型 

Abstract: At present, the need for high-quality and semantically rich data has become increasingly urgent as data-driven artificial intelligence is being applied in a wide and in-depth manner in a variety of fields. Data governance works in various fields focus on the governance of data models. However, both internationally and domestically, research on data semantic governance is still insufficient. In particular, there is a lack of systematic exploration of semantics from the underlying basic theory. Therefore, the essence of semantic organization and representation from the basic theory is revealed, and a conceptual system model of conceptual world is put forward. A nature characteristic conceptual semantic registration metamodel and a relational characteristic conceptual semantic registration metamodel is constracted based on the ISO/ IEC(International Organization for Standardization/ International Electrotechnical Commission) 11179 series of standards, achieving the registration and management of rich semantic knowledge. Finally, a metadata registration and governance system is designed and developed in the context of data governance in the field of oil and gas exploration and evaluation. The two types of semantic models based on the MDR(Metadata Registry) standard have been verified, reflecting their effectiveness in practical applications. 

Key words: data governance, metadata, system theory, conceptual theory, semiotics theory, semantic registration model 

中图分类号: 

  • TP391