图书情报工作

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2025 , Vol. 69 >Issue 23: 125 - 136

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.23.010

研究论文

基于MDR的知识图谱数据语义上下文表示模型研究

  • 牟梦宁 ,
  • 袁满
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  • 1 东北石油大学计算机与信息技术学院 大庆 163319;
    2 东北石油大学三亚海洋油气研究院 三亚 572025
牟梦宁，讲师，博士；袁满，教授，博士，博士生导师，通信作者，E-mail:yuanman@nepu.edu.cn。

收稿日期: 2024-11-04

  修回日期: 2025-01-19

  网络出版日期: 2025-11-20

基金资助

本文系2024年海南省哲学社会科学规划课题资助项目“海南省教育数字化转型中的知识整合及互操作机制研究”（项目编号：HNSK(QN)24-53）研究成果之一。

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Research on the Model for Representing the Context of Data Semantic in Knowledge Graph Based on MDR

  • Mu Mengning ,
  • Yuan Man
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  • 1 School of Computer and Information Technology, Northeast Petroleum University, Daqing 163319;
    2 Sanya Institute of Offshore Oil & Gas, Northeast Petroleum University, Sanya 572025
Mu Mengning, Lecturer, PhD; Yuan Man, Professor, Doctoral Supervisor, Corresponding Author, E-mail: yuanman@nepu.edu.cn.

Received date: 2024-11-04

  Revised date: 2025-01-19

  Online published: 2025-11-20

Supported by

This work is supported by the 2024 Hainan Provincial Philosophy and Social Sciences Research Planning Project, titled “Research on Knowledge Integration and Interoperability Mechanisms in the Digital Transformation of Education in Hainan Province” (Grant No. HNSK(QN)24-53).

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摘要

[目的/意义] 分析知识图谱数据语义的组成要素，为垂直领域构建可共享、可互操作的知识图谱提供指导。[方法/过程] 从数据向知识演化视角，提出“语义元模型—本体模型—知识图谱”知识组织模型（SOKM）。首先基于语义值理论定义的上下文内涵与外延，结合扩展的ISO/IEC 11179（MDR）标准中数据语义表示框架，提出融合上下文的语义元模型（MSeMeta），明确数据语义上下文组合方式与标准化表示的模型结构。随后，为在本体模型中标准化表示上下文，引入双关思想将上下文建模为实例与类，以使机器能够解析知识图谱数据语义上下文。最后通过构建标准化地球科学领域知识图谱与互操作案例，验证SOKM的可行性和合理性。[结果/结论] SOKM在本体层实现数据元语义及表示标准化，提出的融合上下文的语义元模型对知识图谱语义标准化具有推动性意义。

关键词： 数据语义标准化; 上下文; 语义值理论; MDR; 互操作

本文引用格式

牟梦宁 , 袁满 . 基于MDR的知识图谱数据语义上下文表示模型研究[J]. 图书情报工作, 2025 , 69(23) : 125 -136 . DOI: 10.13266/j.issn.0252-3116.2025.23.010

Abstract

[Purpose/Significance] Analyzing the core components of knowledge graph data semantics can provide guidance for building sharable and interoperable knowledge graphs in vertical domains. [Method/Process] From the perspective of data-to-knowledge evolution, this paper proposed the “Semantic Meta-model-Ontology Model-Knowledge Graph” knowledge organization model (SOKM). First, on the connotation and extension of context defined by the theory of Semantic Value, and the data semantic standardization framework proposed by the ISO/ IEC 11179 (MDR) standard, it proposed the semantic metamodel (MSeMeta), which clarified the model structure for data semantic context composition method and standardized representation. Subsequently, the idea of punning was introduced to model context as both instances and classes, enabling machines to interpret the context of knowledge graph data semantics and achieve standardized representation of context within the ontology model. The final step involved validating the feasibility and rationality of SOKM by constructing a standardized knowledge graph and interoperability case in the geoscience. [Result/Conclusion] SOKM achieves semantic and representation standardization of data element at the ontology layer, while the proposed semantic meta-model integrating context plays a crucial role in advancing the semantic standardization of knowledge graphs.

Key words： data semantic standardization; context; semantic value theory; MDR; interoperability

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