SPECIAL TOPIC:Research on Knowledge Aggregation and Knowledge Discovery of Historical Archives Resources from the Perspective of Digital Humanities

Design and Application of the Fine-Grained Semantic Description Model of Modern Newspaper Resources: Taking Shengjing Times as an Example

  • Sun Shaodan ,
  • Deng Jun ,
  • Chang Yanyu ,
  • Zhang Zishu ,
  • Shen Yong
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  • 1. School of Business and Management, Jilin University, Changchun 130012;
    2. School of Public Health, Jilin University, Changchun 130022

Received date: 2021-09-26

  Revised date: 2021-11-28

  Online published: 2022-04-15

Abstract

[Purpose/Significance] This paper designs a scientific and standardized fine-grained semantic description model of modern newspaper resources, and reveals the characteristics and relationships of modern newspaper resources in depth, in order to provide references for the effective management, organization, knowledge discovery and knowledge service of modern newspaper resources.[Method/Process] By analyzing the logical structure, physical layout, contents of modern newspaper resources, starting from two aspects of domain ontology description and metadata description, this paper reused the CIDOC-CRM ontology conceptual model, EAD, DC and Ancient Book Metadata Specification, and took Shengjing Times as an example to design a fine-grained semantic description model for modern newspaper resources. Then, it used Oxygen XML tool to describe the semantic model in RDF/XML language to realize element interoperability and model application.[Result/Conclusion] This paper aims to provide an operable fine-grained semantic description model for the modern newspaper resource organization, provide a basic guarantee for the construction of the modern newspaper resource database, the standardized newspaper management and the application system development, and promote the development, utilization and sharing of the modern newspaper resources.

Cite this article

Sun Shaodan , Deng Jun , Chang Yanyu , Zhang Zishu , Shen Yong . Design and Application of the Fine-Grained Semantic Description Model of Modern Newspaper Resources: Taking Shengjing Times as an Example[J]. Library and Information Service, 2022 , 66(7) : 35 -46 . DOI: 10.13266/j.issn.0252-3116.2022.07.004

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