Research Hotspots and Development Trends of Artificial Intelligence in Intangible Cultural Heritage: A Bibliometric and Visualization Analysis

초록

This study aims to summarize the current state and research hotspots of artificial intelligence (AI) applications in the field of intangible cultural heritage (ICH) and analyze emerging trends. Using the bibliometric analysis tool CiteSpace, data from the Web of Science database were examined, focusing on aspects such as annual publication volume, key authors, institutions, countries, keyword clustering, and burst keywords. The findings indicate that the application of AI in the ICH field is experiencing significant growth, attracting widespread international attention. Several countries are deeply engaged in this area of research. Technologies such as deep learning, machine learning, convolutional neural networks, and augmented reality are currently popular in the AI-ICH domain. Innovative data processing techniques are a focal point of current research, and intelligent content generation is anticipated to become a major trend in the future. The study provides valuable insights and decision-making support for practitioners and researchers, offering new perspectives for the preservation and transmission of intangible cultural heritage.

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