Position Statements
This document discusses the use of knowledge technologies for 3D cultural heritage content. It argues that existing cultural heritage systems focus on presenting unified datasets and semantic search, but do not leverage semantics within 3D content itself. An example of a semantic distributed system aims to semantically integrate 3D objects, images, sounds and text to provide contextualized heritage information. Knowledge technologies for 3D cultural heritage exist but are still emerging across different disciplines. The document raises questions about how systems can evolve to support 3D modeling, how operators and users can access and compare 3D content, and how tools can share information through the digital lifecycle of 3D cultural heritage objects.
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Position Statements
- 1. Knowledge Technologies in Cultural Heritage Position Statement brought to you by
- 3. Questions
- 4. Statements
- 5. Discussion
- 8. involving all kinds of complex data
- 10. We are not alone
- 12. support searching at a semantic level but are unaware of the semantics associated with the 3D content itself.
- 18. CH scholars, scientists and practitioners (archaeologists, restorators, …)
- 19. The public (democratization of heritage) We have questions for every group!
- 22. Other standards (shape representations)
- 24. Semantic search is becoming popular (and feasible)
- 25. Other paradigms like narrative concepts and reasoning are emerging
- 28. Questions: A long list Do the various virtual heritage tools have any particular characteristics? ...
- 31. 3D objects
- 33. or the combination of the above.
- 37. one can be guided & supported with a knowledge-based platform for performing the single steps involved:
- 39. archiving & retrieval (classification of data, storage of 3D content and metadata, and retrieval of data from a repository)
- 40. virtual presentation (level-of-detail-driven simplification, association of material properties, texturing, and viewing);
- 41. virtual reconstruction & restoration (composition /assembling of parts, data conversion, modification/deformation of models, and morphing between two different objects);
- 42. prototyping & replication (fairing, generation of a uniform polygonal mesh);
- 43. deformation monitoring (comparison of geometric deviation of artifacts or buildings over time).
- 45. Be pragmatic. Consider cases where knowledge technologies have the potential to be used to build robust real-life solutions.
Editor's Notes
- distributed semantic application, developed with the aim of presenting contextualised cultural heritage information - in our case the archaeological finds, or artefacts, of Etruscan Italy. Through the use of ontologies, the system presents a unified view of heterogeneous datasets and supports searching at a semantic level. Within the cultural heritage sphere, much work is being carried out on furnishing artefacts with appropriate “context”. However, a platform built upon the distributed search paradigm, although useful in many respects, does not convey how an artefact sits within a broader setting. Instead, we propose narrative concepts as a way of reconciling artefacts with this context. A community of domain experts (e.g. archaeologists) is supported in contributing their knowledge through a comprehensive authoring process. In our TARCHNA system, annotated narrative content, buttressed by references to real world artefacts, is disseminated to a variety of platforms through a semantic web service. The entire approach is developed upon a multi-tiered architecture, allowing for the separation of functionality, yet supporting an open approach to interoperability.