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The reuse of DCMI metadata terms in linked open vocabulary
The Electronic Library ( IF 1.675 ) Pub Date : 2023-01-26 , DOI: 10.1108/el-10-2022-0228
Aimin Zhang , Yingjun Zhang

Purpose

This study aims to explore the reusing of Dublin core metadata initiative (DCMI) metadata terms on the linked open vocabulary (LOV) platform in the linked data environment to offer a better understanding of the reusing behaviour during the process of vocabulary construction and further explain why DC has become a popular vocabulary.

Design/methodology/approach

The authors selected LOV, as a typical linked data platform. The SPARQL language was used to acquire and parse data to examine the reuse types of DCMI terms, the reuse distribution of classes and properties in different semantic relation types among vocabularies, the subject and size of the reused vocabularies and the correlation between vocabulary reuse and data set reuse.

Findings

Results showed that DCMI metadata terms were reused by 83.7% of LOV vocabularies and became the core nodes on the vocabulary-linked network. Among the six relationships between vocabularies and the DCMI metadata terms, the metadata relationship is the most frequently used. DCMI metadata terms are reused by small- and medium-sized vocabularies and are not limited to subject domain.

Originality/value

This is one of the first studies focussing on the roles of DCMI metadata terms in vocabulary reusing. Furthermore, it provides a systematic view of how these DCMI terms participate in the construction of other vocabularies and in features of reused vocabularies.



中文翻译:

链接开放词汇表中 DCMI 元数据术语的重用

目的

本研究旨在探索链接数据环境中链接开放词汇表(LOV)平台上都柏林核心元数据倡议(DCMI)元数据术语的重用,以更好地理解词汇构建过程中的重用行为,并进一步解释原因DC已经成为一个流行的词汇。

设计/方法/途径

作者选择了 LOV 作为典型的关联数据平台。使用SPARQL语言获取和解析数据,考察DCMI术语的重用类型、不同语义关系类型的类和属性在词汇表中的重用分布、重用词汇表的主题和规模以及词汇重用与数据的相关性设置重用。

发现

结果表明,DCMI 元数据术语被 83.7% 的 LOV 词汇重用,成为词汇链接网络的核心节点。在词汇表和 DCMI 元数据术语之间的六种关系中,元数据关系是最常用的。DCMI 元数据术语被中小型词汇表重用,并且不限于主题领域。

原创性/价值

这是最早关注 DCMI 元数据术语在词汇重用中的作用的研究之一。此外,它提供了这些 DCMI 术语如何参与其他词汇表的构建以及重用词汇表的特征的系统视图。

更新日期:2023-01-26
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