Construction of Intangible Cultural Heritage Resource Database Based on Big Data

Construction of Intangible Cultural Heritage Resource Database Based on Big Data

연구 분야: Databases

학회: International Conference on Innovative Computing

In order to achieve the construction of an intangible cultural heritage resource database, the author proposes a solution based on big data technology. Firstly, we propose a novel data collection and preprocessing method to effectively integrate and classify intangible cultural heritage resources. Next, we utilize advanced machine learning and natural language processing technologies to deeply process and analyze these data, in order to uncover the intrinsic value and interrelationships of intangible cultural heritage resources. Finally, we designed and implemented a fully functional database of intangible cultural heritage resources, which has functions such as data retrieval, visualization, update, and maintenance. And a fuzzy evaluation was conducted on the database, and the experimental results showed that the target layer evaluation vector of the database was 0.523. Through empirical validation, our approach has proven to significantly enhance the efficiency of managing and leveraging intangible cultural heritage resources. Additionally, the database resource quality evaluation results are highly positive.