DURAARK includes the following scientific and technical objectives:

Workflows and streamlined processes for the long term archival of the broad spectrum of architectural data. Workflows and tools for OAIS compliant ingest, management and delivery of the various types of architectural data ranging from low-level point cloud scans over legacy 3D CAD models up to highly enriched Building Information Modeling (BIM) will be set up and developed.

Semantic enrichment with metadata. Vocabularies/ontologies together with alignments with existing metadata schemes and conceptualisations tailored to 3D modelling and architectural models including key concepts that ensure interoperability between 3D modelling tools and distinct 3D model libraries and archives will be specified and developed. Furthermore, enrichment techniques, enabling the enrichment of naturally poorly structured 3D model metadata with additional knowledge from the LOD cloud will be applied.

Consistent naming schemes and ontologies for architectural entities. Semantically meaningful information of legacy and contemporary buildings and their components will be captured by the development of new methods and technologies for the creation, long time persistence and management of ontological concepts and their facets. Furthermore, approaches for the distributed collaborative authoring of the ontological content, its approval and re-visioning for long time access will be devised.

Render semantically low-level 3D architectural data meaningful and interpretable. Unstructured 3D point clouds and legacy 3D CAD data with no semantics will be lifted from a puregeometric level to one that contains textual and structural information that is meaningful to the architectural domain and facilitates the understanding and semantically meaningful retrieval of the content even after years.

Dealing with point cloud data. The extraordinary size of point cloud scans makes the interactive ingest, management and delivery of raw data practically impossible. This problem did not occur so far in traditional 3D architectural data and therefore did not need special treatment. Novel techniques for the interactive retrieval and delivery of fragments of interest as well as special compression techniques suited for the long term archival of point data will be developed.

Documenting the changing state of built architecture. Strategies and methods to link as-is building representations given as 3D point clouds to either previous point cloud representations of the building or the original architectural drawings will be researched and developed. This linking will provide means for the long-term documentation of a building’s changing state.

Storage of highly enriched 3D architectural data in an existing OAIS compliant long-term preservation system. The Development of a submission application for the highly enriched data as well as the development of a workflow within the long term archival system Rosetta to handle the highly enriched data from ingest to storage and from storage to access will enable the archiving and accessibility of complex architectural 3D models. As Rosetta is an OAIS-compliant digital preservation system used by several heritage institutions world-wide, the developed tools will be usable within the digital preservation community. Furthermore, a preservation planning concept which collects all information from a technical as well as business perspective for the enrichted architectural data will be devised and established.

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