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Research on intangible cultural heritage resource description and knowledge fusion based on linked data

Qing Fan (Jingchu University of Technology, Wuhan, China and National Research Center of Cultural Industries, Central China Normal University, Wuhan, China)

The Electronic Library

ISSN: 0264-0473

Article publication date: 6 December 2023

112

Abstract

Purpose

The purpose of this article is to contribute to the digital development and utilization of China’s intangible cultural heritage resources, research on the theft of intangible cultural heritage resources and knowledge integration based on linked data is proposed to promote the standardized description of intangible cultural heritage knowledge and realize the digital dissemination and development of intangible cultural heritage.

Design/methodology/approach

In this study, firstly, the knowledge organization theory and semantic Web technology are used to describe the intangible cultural heritage digital resource objects in metadata specifications. Secondly, the ontology theory and technical methods are used to build a conceptual model of the intangible cultural resources field and determine the concept sets and hierarchical relationships in this field. Finally, the semantic Web technology is used to establish semantic associations between intangible cultural heritage resource knowledge.

Findings

The study findings indicate that the knowledge organization of intangible cultural heritage resources constructed in this study provides a solution for the digital development of intangible cultural heritage in China. It also provides semantic retrieval with better knowledge granularity and helps to visualize the knowledge content of intangible cultural heritage.

Originality/value

This study summarizes and provides significant theoretical and practical value for the digital development of intangible cultural heritage and the resource description and knowledge fusion of intangible cultural heritage can help to discover the semantic relationship of intangible cultural heritage in multiple dimensions and levels.

Keywords

Acknowledgements

This study was supported by the Hubei Key Laboratory of Big Data in Science and Technology (project number: E3KF291001) and Jingchu University of Technology.

Citation

Fan, Q. (2023), "Research on intangible cultural heritage resource description and knowledge fusion based on linked data", The Electronic Library, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EL-01-2023-0018

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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