Journal of Smart Tourism

Smart Tourism Research Center, Kyung Hee University (경희대학교 스마트관광연구소)
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Digital Application of Intangible Cultural Heritage from the Perspective of Cultural Ecology

  • Jing, Xiuli (Shenzhen Tourism College, Jinan University) ;
  • Tan, Fang (School of Information Management, Sun Yat-sen University) ;
  • Zhang, Mu (Shenzhen Tourism College, Jinan University)
  • Received : 2021.01.26
  • Accepted : 2021.03.17
  • Published : 2021.03.31
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Abstract

This paper explored the digital application of intangible cultural heritage from the perspective of cultural ecology. Through field investigations, combined with cultural ecology theory, an ontology-based semantic web technology was proposed, and Nanjing "Yunjin" brocade weaving technique was selected as the research object. The specific steps were as follows: First, based on the field surveys and cultural ecology theory, the intangible cultural ecological environment was divided into natural and social environments. Next, constructing the intangible cultural heritage ontology was constructed, including the collection and collation of Nanjing Yunjin weaving technique knowledge corpus, based on user needs analysis and corpus analysis, CIDOC CRM was used to create rules to build the ontology. Finally, based on the MediaWiki platform and Semantic MediaWiki, the semantic web model of the intangible cultural heritage was designed, and its semantic retrieval function was realized, thereby achieving the practical application of intangible cultural heritage digitization. Based on the perspective of cultural ecology, a set of intangible digital application models was proposed, which expanded the digital application of the cultural ecology theory, verified the application of this model in the sustainable development of cultural tourism, and provided reference for the sustainable development of cultural tourism.

Keywords

Acknowledgement

This research was supported by the National Social Science Foundation of China (Grant number: 16AZD055). This research was also supported by the Fundamental Research Funds for the Central Universities (Grant number: 19JNQM25). We thank the support from colleagues who helped us in data analysis, and anonymous reviewers for their useful comments which have greatly improved the manuscript.

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