[Purpose/significance] The purpose of this paper is to study the linked data model of publishing the NSTL’s research entity name authority data as linked data. After the name authority data is published as linked data, it can be reused as an open linked data set by other system or organization, and also can be better integrated with other linked data sets to improve data quality. In addition, it also provides a model building reference for other organizations to publish authority data as linked data. [Method/process] First, this paper analyzed and compared the data models used in the linked data publishing projects at home and abroad. It showed that the data models in the linked data publishing projects were mainly divided into two categories. Then, combined with the characteristics of NSTL name authority data, two forms of linked data models were designed. It compared the two models from the expression level of the NSTL’s data and the complexity of the models. The better one was selected. Finally, it used D2RQ as tool to publish the sample data as linked data. [Result/conclusion] The analysis found that the model with Schema.org as the core standard vocabulary has better performance. So it is more suitable as a linked data model for NSTL’s name authority data.
Zhou Yi
,
Zhang Jianyong
,
Liu Zheng
,
Liu Xiumin
. Research on the Construction of Linked Data Model for Research Entity's Name Authority Data[J]. Library and Information Service, 2020
, 64(10)
: 109
-117
.
DOI: 10.13266/j.issn.0252-3116.2020.10.012
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