基于<bold>MDR</bold>的知识图谱语义关系及表示标准化模型研究

doi:10.3772/j.issn.1000-0135.2023.07.006

情报学报

2023, Vol. 42

Issue (7): 832-841 DOI: 10.3772/j.issn.1000-0135.2023.07.006

情报技术与应用

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基于MDR的知识图谱语义关系及表示标准化模型研究

袁满, 刘梦琪, 牟梦宁

东北石油大学计算机与信息技术学院，大庆 163318

Research on Semantic Relationship and Representation Standardization Model of Knowledge Graph Based on MDR

Yuan Man, Liu Mengqi, Mu Mengning

School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318

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摘要本文通过对国内外知识图谱标准化研究和发布情况的系统梳理与剖析，发现当前知识图谱标准化过程中缺乏对底层语义关系结构和表示的标准化。因此，本文首先在MDR（metadata registries）概念元模型的基础上，扩充了语义关系类型和关系表示，构建了一个标准的、可扩展的、通用的知识图谱语义关系元模型，为知识图谱中语义关系的构建提供了必备的语义要素，实现从传统数据语义结构向知识图谱语义结构的迁移。其次，为实现语义关系表示的标准化，以该标准化元模型为指导，构建知识图谱语义关系标准化本体栈，为知识图谱语义关系标准化提供了从语义关系结构到表示的标准构建体系。最后，以石油领域井下作业业务需求为背景，对其中涉及的语义关系进行注册，并据此实现了石油领域井下作业知识图谱中语义关系的标准化，验证了本文提出的知识图谱语义关系元模型的合理性和正确性，提出的知识图谱语义关系元模型具有创新性。

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	袁满
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关键词 ：知识图谱, 语义关系, 元模型, MDR, 标准化

收稿日期: 2022-06-09

基金资助:黑龙江省哲学社会科学研究规划项目“黑龙江省智慧教育中教育资源知识图谱构建的标准化方法研究”（19EDE334）。

作者简介: 袁满，男，1965年生，教授，博士生导师，研究领域为知识工程、数据标准化与信息集成，E-mail：yuanman@nepu.edu.cn；刘梦琪，女，1997年生，硕士研究生，研究领域为数据标准、语义关系、知识图谱；牟梦宁，女，1999年生，博士研究生，研究领域为知识工程、本体学习；

引用本文:

袁满, 刘梦琪, 牟梦宁. 基于MDR的知识图谱语义关系及表示标准化模型研究[J]. 情报学报, 2023, 42(7): 832-841.
Yuan Man, Liu Mengqi, Mu Mengning. Research on Semantic Relationship and Representation Standardization Model of Knowledge Graph Based on MDR. 情报学报, 2023, 42(7): 832-841.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2023.07.006 或 https://qbxb.istic.ac.cn/CN/Y2023/V42/I7/832

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