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基于MDR2023的元数据值域语义约束注册标准化模型研究

袁满 何玲通 袁靖舒 李洪欣

数字图书馆论坛2024,Vol.20Issue(2):70-81,12.
数字图书馆论坛2024,Vol.20Issue(2):70-81,12.DOI:10.3772/j.issn.1673-2286.2024.02.007

基于MDR2023的元数据值域语义约束注册标准化模型研究

Research on the Metadata Value Domain Semantic Constraint Registration Model Based on MDR2023

袁满 1何玲通 1袁靖舒 1李洪欣1

作者信息

  • 1. 东北石油大学计算机与信息技术学院,大庆 163318
  • 折叠

摘要

Abstract

Metadata registry(MDR)is a necessary prerequisite for the precise expression of semantics in metadata during data governance.This paper conducts a systematic analysis of MDR systems both domestically and internationally,finding that MDR focuses more on the registration of basic data elements,and there is a lack of research in the area of data semantic constraint registration.Therefore,this paper first proposes a metadata semantic constraint extension classification model based on ISO/IEC 11179:2023(MDR2023)standards,clarifies the scope of metadata semantic constraints,and selects the value domain semantic constraints for detailed study.Secondly,the metadata value domain semantic constraint registration metamodel is proposed based on MDR2023 standards,providing a standardized and complete registration algorithm process for metadata semantic constraint registration and a solution for registering metadata value domain semantic constraints.Finally,with the famous POSC standard in the petroleum field as the demand background,the value domain semantic constraints are registered,thereby realizing the standardization of the value domain semantic constraints of the metadata in the petroleum field,and verifying the rationality and feasibility of the metadata value domain semantic constraint registration metamodel proposed in this paper.The metamodel proposed in this paper is generalizable to other domains of data governance.

关键词

元数据/值域/语义约束/元数据注册/注册元模型/数据语义标准

Key words

Metadata/Value Domain/Semantic Constraint/Metadata Registry/Registration Metamodel/Data Semantics Standard

分类

计算机与自动化

引用本文复制引用

袁满,何玲通,袁靖舒,李洪欣..基于MDR2023的元数据值域语义约束注册标准化模型研究[J].数字图书馆论坛,2024,20(2):70-81,12.

基金项目

本研究得到东北石油大学人才引进科研启动经费资助项目"标准驱动的业务规则知识组织模型研究"(编号:2023KQ17)资助. (编号:2023KQ17)

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