Using METS to Express Digital Provenance for Complex Digital Objects
Using METS to Express Digital Provenance for Complex Digital Objects
复制标题
使用 METS 表达复杂数字对象的数字来源
DOI：
10.1007/978-3-030-71903-6_15
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
W. Seales
中科院分区：
文献类型：
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作者：
Christy Chapman;C. S. Parker;Stephen Parsons;W. Seales
今天的数字图书馆不仅仅是手稿页面或绘画的简单2D图像。先进的成像技术--例如3D建模、光谱摄影和体积X射线--可以应用于所有类型的文物，并可以结合起来创建由许多不同部分组成的复杂数字表示。此外，虚拟解包和人工智能（AI）等新兴技术使人们有可能为看不见的特征（如文本和笔触）创建“天生的数字”版本，这些特征因损坏而“隐藏”，因此缺乏可验证的模拟对应物。因此，需要透明的元数据来描述和描绘用于创建这种复杂的数字表示的算法步骤和文件组合的集合是至关重要的。在EduceLab，我们创建各种类型的复杂数字对象，从依靠机器学习工具创建不可见文本的非数字版本的几乎未包装的手稿，到由2D照片，多光谱和高光谱图像，图纸和3D网格组成的3D模型。在探索如何记录这些复杂数字表示的数字出处链，然后以清晰、简洁和有组织的方式支持元数据的传播时，我们决定使用元数据编码传输标准（METS）。本文概述了我们的设计，利用METS的灵活性和全面性，特别是其behaviorSec，以满足新兴的数字出处元数据的需求。
Today’s digital libraries consist of much more than simple 2D images of manuscript pages or paintings. Advanced imaging techniques – 3D modeling, spectral photography, and volumetric x-ray, for example – can be applied to all types of cultural objects and can be combined to create complex digital representations comprising many disparate parts. In addition, emergent technologies like virtual unwrapping and artificial intelligence (AI) make it possible to create “born digital” versions of unseen features, such as text and brush strokes, that are “hidden” by damage and therefore lack verifiable analog counterparts. Thus, the need for transparent metadata that describes and depicts the set of algorithmic steps and file combinations used to create such complicated digital representations is crucial. At EduceLab, we create various types of complex digital objects, from virtually unwrapped manuscripts that rely on machine learning tools to create born-digital versions of unseen text, to 3D models that consist of 2D photos, multi- and hyperspectral images, drawings, and 3D meshes. In exploring ways to document the digital provenance chain for these complicated digital representations and then support the dissemination of the metadata in a clear, concise, and organized way, we settled on the use of the Metadata Encoding Transmission Standard (METS). This paper outlines our design to exploit the flexibility and comprehensiveness of METS, particularly its behaviorSec, to meet emerging digital provenance metadata needs.