Volume 7, Issue 3 (11-2024)                   KCR 2024, 7(3): 39-50 | Back to browse issues page

‎ 10.61882/kcr.7.3.39

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Ghodousiyan T, Razani M, Mehdikhani A H, Keshtkar A, Mirzaie A K, Mansouri A, et al . A Comprehensive Analysis of Artificial Intelligence Concepts and Applications in Cultural Heritage and Arts – From Archaeology to the Metaverse Reality. KCR 2024; 7 (3) :39-50
URL: http://journal.richt.ir/kcr/article-1-223-en.html
A Comprehensive Analysis of Artificial Intelligence Concepts and Applications in Cultural Heritage and Arts – From Archaeology to the Metaverse Reality
Talhe Ghodousiyan * , Mehdi Razani , Amir Hossein Mehdikhani , Arash Keshtkar , Ali Kh Mirzaie , Alireza Mansouri , Ali Akbar Kiaei , Hossein Shirazi , Mustafa Dehpahlavan , Abdolbasir Hosseinbor
Machine Learning Researcher, NOAI (ArchAI) & Machine Learning Researcher, NOAI (ArchAI)
Abstract:   (2345 Views)
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in preserving, analyzing, and representing cultural heritage and arts. This article provides a systematic and comprehensive review of AI applications in this domain, exploring their potential to address longstanding challenges such as natural degradation, limited accessibility, and complex documentation. By integrating classical and advanced ML algorithms, we examine case studies including the Time Machine Europe project, the Ithaca model for ancient Greek texts, and metaverse-based heritage digitization. These initiatives demonstrate AI’s capacity to enhance precision, speed, and interactivity in heritage tasks, from virtual reconstruction to multimodal data analysis. However, limitations such as data quality, ethical concerns, and computational complexity pose significant barriers to widespread adoption. Emerging technologies like non-fungible tokens (NFTs), prompt engineering, and quantum AI are highlighted as future directions that promise further innovation. This study underscores the need for interdisciplinary collaboration and ethical frameworks to ensure sustainable advancements, offering a roadmap for researchers and policymakers in the digital era.
Keywords: Cultural Heritage, Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, Natural Language Processing, Digital Preservation Metaverse.
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Type of Study: Review Article | Subject: Application of modern sciences, technologies, equipment, materials and methods
Received: 2024/07/22 | Accepted: 2024/11/18 | Published: 2024/11/30
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