用AI挖掘巴西原住民文物隐含关联，助力文化传承
Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil
- 构建图文双通道语义管道，提取文物图像与描述的深层关系
- 将万级藏品嵌入二维空间，实现可视化探索与跨维度检索
- 为策展与公众参与提供新工具，适合文化保护与数字人文研究者
原住民社区在系统性边缘化与城市化压力下，面临文化遗产保存困境。巴西国家原住民博物馆通过Tainacan平台，建立了全国最大的在线原住民文物与符号数字收藏库，是文化互动的关键资源。本文基于该库公开数据，提出一项数据驱动的AI实践，旨在提升文化资源的可及性、解释力与探索性。我们设计了两个语义管道：一个视觉管道用于建模图像间相似性，一个文本管道捕捉物品描述中的语义关联。这些嵌入向量被降维至二维并集成至交互式可视化工具中。用户可通过相似性导航，或借助时间与地理维度进行探索，实现语义与情境双重视角。系统支持策展工作，促进公众参与，并揭示藏品间的潜在联系。本研究展示了人工智能在文化保育中的伦理化应用潜力。
原文摘要 · Abstract (English)
Indigenous communities face ongoing challenges in preserving their cultural heritage, particularly in the face of systemic marginalization and urban development. In Brazil, the Museu Nacional dos Povos Indigenas through the Tainacan platform hosts the country's largest online collection of Indigenous objects and iconographies, providing a critical resource for cultural engagement. Using publicly available data from this repository, we present a data-driven initiative that applies artificial intelligence to enhance accessibility, interpretation, and exploration. We develop two semantic pipelines: a visual pipeline that models image-based similarity and a textual pipeline that captures semantic relationships from item descriptions. These embedding spaces are projected into two dimensions and integrated into an interactive visualization tool we also developed. In addition to similarity-based navigation, users can explore the collection through temporal and geographic lenses, enabling both semantic and contextualized perspectives. The system supports curatorial tasks, aids public engagement, and reveals latent connections within the collection. This work demonstrates how AI can ethically contribute to cultural preservation practices.
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