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E-raamat: 3D Research Challenges in Cultural Heritage VI: DigitalTwin versus MemoryTwin

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This book presents a collection of papers focussing on 3D digitisation in the domain of cultural heritage. The use of data acquisition technologies in digitising cultural heritage holds great potential for preserving and disseminating the history of mankind. However, to exploit these opportunities in full, comprehensive guidelines for documenting the process of digitisation are required. Only then can the efficiency and credibility of digital representations be assured.

Memory Twins: A new much needed Dimension in Preserving National
Collections.- Generating paradata by asking questions or telling stories.-
IIIF 3D & Data Dimensions - Countdown on Collaborative Standards for
Sustainable Digital Heritage.- Documentation and scientificity of the 3D
reconstruction of built heritage models in the age of GenAI.- Representation
& Preservation of Traditional Crafting Techniques .- 3D & Annotations:
Towards a Semantic Web for Cultural Heritage?.- The eArchiving Initiative and
Long-Term Digital Preservation (LTDP) of 3D models.- Introducing Scientific
Reference Model & Critical Digital Model Methodological Approach in
Hypothetical Source-Based 3D Reconstruction of Built Cultural Heritage.-
Developing the Core Data Model for 3D Exploring Metadata & Paradata
Throughout Current 3D.- Infrastructure Projects.- Comprehensive Guide of the
Benefits, Opportunities, Risks and Gaps in the Management of Cultural
Heritage Digitisation. A Critical Literature Review.- Reviving Europe's
Architectural Heritage: The CoVHer Projects Standards for 3D Digital
Reconstructions 
Illicit Trafficking of Cultural Goods: A Challenge for AI in a Time Without
3D Standards.- HERITALISE: Digitisation of Tangible & Intangible Heritage to
Achieve HBIM-based Digital Twins Including Digital Twin Memories.-
Florence4Ds interdisciplinary workflow for research-based 3D models: a
Palazzo Medici case study.- A Question of Competence, Quality &
Infrastructure: the EUreka3D initiative.- An integrated and open-access
plugin for uncertainty assessment of the hypothetical virtual reconstruction
of architecture.